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Two Chairs

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Mental Health Therapist - Washington (Part-Time)

Two Chairs · Tacoma, Washington, United States

Apply now

Part-Time Therapy WA Remote Posted May 7, 2026

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

Consistent Pay: Earn a clinical rate of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
Additional W-2 advantages you won’t find with 1099 contract work:
- No tax headaches – We handle withholdings and filings, so you don’t have to
- Earn paid sick time – Accrue up to 80 hours per year
- Merit-based raises – Be recognized and rewarded for your contributions
- Retirement benefits – Access an employer-sponsored 401(k) plan
- Malpractice insurance provided – Full coverage at no cost to you

About the Role

Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week
Use data to drive effective treatment and adjust your approach based on client progress
Collaborate with other mental health providers as needed and refer clients when appropriate
Maintain progress notes and documentation in compliance with HIPAA and state regulations

Requirements

License: Active license and in good standing as a LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost.
Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments.
Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process

Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications
Recruiter Interview: 45-minute phone interview with one of our Clinical Recruiters
Clinical Interview: 45-minute video interview with one of our Clinical Managers
Offer: If all goes well, you’ll receive an offer to join our team!
Expected Interview Timeline: The entire process typically takes 2 weeks

Important Notes:

Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE

Clinical Rate

$76—$76 USD

Ready to apply?

Two Chairs

View all jobs →

Mental Health Therapist - Washington (Part-Time)

Two Chairs · Vancouver, Washington, United States

Apply now

Part-Time Therapy WA Remote Posted May 7, 2026

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

Consistent Pay: Earn a clinical rate of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
Additional W-2 advantages you won’t find with 1099 contract work:
- No tax headaches – We handle withholdings and filings, so you don’t have to
- Earn paid sick time – Accrue up to 80 hours per year
- Merit-based raises – Be recognized and rewarded for your contributions
- Retirement benefits – Access an employer-sponsored 401(k) plan
- Malpractice insurance provided – Full coverage at no cost to you

About the Role

Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week
Use data to drive effective treatment and adjust your approach based on client progress
Collaborate with other mental health providers as needed and refer clients when appropriate
Maintain progress notes and documentation in compliance with HIPAA and state regulations

Requirements

License: Active license and in good standing as a LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost.
Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments.
Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process

Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications
Recruiter Interview: 45-minute phone interview with one of our Clinical Recruiters
Clinical Interview: 45-minute video interview with one of our Clinical Managers
Offer: If all goes well, you’ll receive an offer to join our team!
Expected Interview Timeline: The entire process typically takes 2 weeks

Important Notes:

Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE

Clinical Rate

$76—$76 USD

Ready to apply?

Two Chairs

View all jobs →

Mental Health Therapist - Washington (Part-Time)

Two Chairs · Spokane, Washington, United States

Apply now

Part-Time Therapy WA Remote Posted May 7, 2026

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

Consistent Pay: Earn a clinical rate of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
Additional W-2 advantages you won’t find with 1099 contract work:
- No tax headaches – We handle withholdings and filings, so you don’t have to
- Earn paid sick time – Accrue up to 80 hours per year
- Merit-based raises – Be recognized and rewarded for your contributions
- Retirement benefits – Access an employer-sponsored 401(k) plan
- Malpractice insurance provided – Full coverage at no cost to you

About the Role

Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week
Use data to drive effective treatment and adjust your approach based on client progress
Collaborate with other mental health providers as needed and refer clients when appropriate
Maintain progress notes and documentation in compliance with HIPAA and state regulations

Requirements

License: Active license and in good standing as a LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost.
Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments.
Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process

Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications
Recruiter Interview: 45-minute phone interview with one of our Clinical Recruiters
Clinical Interview: 45-minute video interview with one of our Clinical Managers
Offer: If all goes well, you’ll receive an offer to join our team!
Expected Interview Timeline: The entire process typically takes 2 weeks

Important Notes:

Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE

Clinical Rate

$76—$76 USD

Ready to apply?

Two Chairs

View all jobs →

Mental Health Therapist - Washington (Part-Time)

Two Chairs · Seattle, Washington, United States

Apply now

Part-Time Therapy WA Remote Posted May 7, 2026

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

Consistent Pay: Earn a clinical rate of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
Additional W-2 advantages you won’t find with 1099 contract work:
- No tax headaches – We handle withholdings and filings, so you don’t have to
- Earn paid sick time – Accrue up to 80 hours per year
- Merit-based raises – Be recognized and rewarded for your contributions
- Retirement benefits – Access an employer-sponsored 401(k) plan
- Malpractice insurance provided – Full coverage at no cost to you

About the Role

Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week
Use data to drive effective treatment and adjust your approach based on client progress
Collaborate with other mental health providers as needed and refer clients when appropriate
Maintain progress notes and documentation in compliance with HIPAA and state regulations

Requirements

License: Active license and in good standing as a LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost.
Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments.
Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process

Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications
Recruiter Interview: 45-minute phone interview with one of our Clinical Recruiters
Clinical Interview: 45-minute video interview with one of our Clinical Managers
Offer: If all goes well, you’ll receive an offer to join our team!
Expected Interview Timeline: The entire process typically takes 2 weeks

Important Notes:

Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE

Clinical Rate

$76—$76 USD

Ready to apply?

Two Chairs

View all jobs →

Mental Health Therapist - Washington (Part-Time)

Two Chairs · Remote, Washington, United States

Apply now

Part-Time Therapy WA Remote Posted May 7, 2026

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

Consistent Pay: Earn a clinical rate of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
Additional W-2 advantages you won’t find with 1099 contract work:
- No tax headaches – We handle withholdings and filings, so you don’t have to
- Earn paid sick time – Accrue up to 80 hours per year
- Merit-based raises – Be recognized and rewarded for your contributions
- Retirement benefits – Access an employer-sponsored 401(k) plan
- Malpractice insurance provided – Full coverage at no cost to you

About the Role

Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week
Use data to drive effective treatment and adjust your approach based on client progress
Collaborate with other mental health providers as needed and refer clients when appropriate
Maintain progress notes and documentation in compliance with HIPAA and state regulations

Requirements

License: Active license and in good standing as a LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost.
Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments.
Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process

Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications
Recruiter Interview: 45-minute phone interview with one of our Clinical Recruiters
Clinical Interview: 45-minute video interview with one of our Clinical Managers
Offer: If all goes well, you’ll receive an offer to join our team!
Expected Interview Timeline: The entire process typically takes 2 weeks

Important Notes:

Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE #ZR

Clinical Rate

$76—$76 USD

Ready to apply?

Two Chairs

View all jobs →

Executive Director

Guidelight Health · Federal Way, Washington

Apply now

Onsite Federal Way Posted May 7, 2026

Guidelight Health is a cutting-edge behavioral healthcare company dedicated to transforming lives through high-quality PHP (Partial Hospitalization Program) and IOP (Intensive Outpatient Program) services. As a newly launched organization, we are on a mission to redefine the behavioral health industry by delivering exceptional care, utilizing state-of-the-art facilities, and prioritizing the well-being of those we serve. At Guidelight Health, we are building a team of passionate, forward-thinking professionals who are eager to be part of this exciting journey to reshape mental health care. Join us in making a lasting impact!

Title: Executive Director

Reports to: Market Operations Director

Department/Location: Onsite in Federal Way, WA

FLSA Status: Exempt

Position is onsite, Monday-Friday, 8:30am-5:00pm at the Federal Way, WA Guidelight Facility. The Executive Director will oversee the Partial Hospitalization Program (PHP) and Intensive Outpatient Program (IOP) for both adult and adolescent programming.

*Must have an active independent Washington therapy license.

Role Summary:

The Executive Director will provide visionary leadership, drive operational excellence, and cultivate a collaborative culture. This role holds overall accountability for the clinic’s success in achieving business objectives. The Executive Director is responsible for ensuring high-quality care, regulatory compliance, and sound financial management, while also driving program growth through creative business development and community outreach. The ideal candidate excels at building relationships, fostering program expansion, and promoting an inclusive, culturally competent environment. They will create a welcoming atmosphere within the PHP/IOP programs and represent Guidelight Health to clients, families, staff, and the broader community.

On a day-to-day basis, the Executive Director oversees clinic operations, manages the site's P&L, evaluates staff performance, provides ongoing clinical training, and actively engages in community outreach and growth initiatives. Candidates should demonstrate an entrepreneurial mindset and a strong affinity for creative strategies that increase census, balancing operational leadership with proactive engagement in the community. They may also participate in conferences to stay current on state and federal regulations and behavioral health trends.

Role Responsibilities:

Trusted Advisor
- Build and maintain trust-based relationships with referral partners, providing consultative, solutions-oriented guidance.
- Support providers in making the best care decisions, even when recommending alternatives outside of Guidelight.
- Drive referral growth through credibility, clinical expertise, and consistent follow-up.
Ambassador & Community Engagement
- Represent Guidelight in the local behavioral health ecosystem, enhancing brand awareness and credibility.
- Partner with Outreach to expand referral networks and community presence.
- Participate in conferences, coalitions, local events, and professional networks.
- Advocate authentically for clients and the organization.
Clinical Quality Champion
- Oversee PHP/IOP programming, including day-to-day operations, clinical programming, and KPIs.
- Model and enforce clinical excellence, ethical practice, and evidence-based care (DBT, CBT, ACT, MI).
- Conduct chart audits, review treatment plans, and ensure curriculum fidelity and consistent treatment approaches.
- Use client feedback and outcomes data to drive continuous improvement and high-quality care.
Operational & Financial Leadership
- Own clinic-level P&L and KPIs, ensuring financial health and operational efficiency.
- Manage staffing, schedules, and productivity to align with demand and program needs.
- Ensure compliance with state licensure regulations, payer requirements, and accrediting bodies (CARF).
- Implement process improvements to enhance both clinical and operational performance.
Market Strategist & Growth Leadership
- Use local market insight, payer knowledge, and competitive intelligence to guide programming and growth initiatives.
- Partner with outreach and business development teams to expand census and optimize referral sources.
- Identify and implement new service opportunities or program expansions aligned with market demand.
People Developer & Team Leadership
- Build, lead, and maintain a high-performing team of up to 25–30 staff members.
- Provide supervision for licensed and pre-licensed clinicians, including coaching, mentoring, and career development. '
- Conduct evaluations, regular administrative meetings, and oversee orientation and ongoing training.
- Foster a collaborative, inclusive, and psychologically safe team culture.
- Recognize and celebrate individual and team contributions to maintain morale and engagement.
Systems & Technology Competence
- Utilize EHR systems (Kipu preferred) and other technology platforms to improve clinical and operational efficiency.
- Serve as a resource for system-related training, documentation support, and reporting.
- Maintain accurate supervisory notes and program documentation.
Safety & Client Care
- Ensure safety of staff and clients through monitoring and implementation of appropriate protocols and trainings.
- Coordinate with external providers, agencies, and community partners to ensure optimal client care.

Required Qualifications:

Master’s degree in Counseling, Social Work, or a related field from an accredited institution, with a minimum of 5+ years of work experience post-Master's.
Active licensure in Social Work (LICSW, LCSW), Counseling (LMHC, LPC), or Marriage and Family Therapy (LMFT).
5-7 years of clinical experience in higher levels of care, with 2+ years in a management role.
Proven leadership experience in mental health settings serving adolescents and adults.
Knowledge of evidence-based modalities (DBT, CBT, ACT, MI) and appreciation for group therapy.
Strong business acumen with experience collaborating on financial operations and clinic growth initiatives.
Skilled in technology and software systems (including EHRs and Microsoft Office).
Excellent communication skills, with the ability to engage staff, clients, and community partners effectively.
Demonstrated cultural competency and commitment to diversity, equity, and inclusion.
Flexible and adaptable to meet the needs of clients in a fast-paced, high-growth environment.

Preferred Qualifications:

3+ years post-independent licensure.
Experience in IOP/PHP, inpatient, residential, or emergency room settings.
Brings an established professional network and experience partnering with outreach or business development teams.

*Please do not contact our public clinical admissions line regarding this or any other job posting. For recruiting-related inquiries, please contact the Talent team at Talent@guidelighthealth.com

Guidelight is an Equal Opportunity Employer. We are passionate about fostering an environment where everyone, irrespective of their race, gender, sexual orientation, or background, feels valued and included.

We want to be a place where every employee has a voice and feels truly welcome, appreciated, free to be themselves, and empowered and enabled to do their best work. Our differences make us unique, and we actively support these differences and work to create communities of respect throughout our company. www.guidelighthealth.com

Pay Range

$130,000—$160,000 USD

Benefits & Perks

At Guidelight, we value a work-life integration culture. This approach allows our teammates to focus on what matters most to them, while also caring for our clients and fellow teammates. We have found that this promotes a sustainable and successful culture, and we offer the following benefits to our teammates to demonstrate this commitment to each other. 

As a Guidelight teammate, working 32+ hours per week, you’ll enjoy a comprehensive benefits package, including:

Health & Wellness: Medical, dental, vision, HealthJoy unlimited therapy, UHC wellness program, HSA/FSA options, and pet insurance.
Time Off: Responsible PTO, in lieu of a traditional accrual-based policy, which allows full-time and part-time employees to take the time they need, when they need it, while ensuring continuity of care and team collaboration
401(k): With company match.
Licensing: All licensing fees covered, including opportunities for cross-licensure when applicable.
Professional Development: Annual stipend for tuition reimbursement, ongoing education, or CEUs.
Clinical Supervision & Growth: Pre-licensed clinicians receive structured clinical supervision toward licensure, and all clinicians benefit from best-in-class supervision grounded in our state-of-the-art PHP/IOP curriculum.

Ready to apply?

Apply to Guidelight Health

Guidelight Health

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Staff Data Engineer - Federal (Auth0)

Okta · Bellevue, Washington; Chicago, Illinois; New York, New York; Washington, DC

Apply now

Product & Platform Data-693 United States Posted May 6, 2026

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Staff Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for strategic platform initiatives, beginning with a critical mission: making our data platform FEDRamp compliant.

Reporting to the manager of the Data Engineering Pipeline team, the Staff Data Engineer will serve as the technical leader for the architectural evolution of our core data platform.

This is a high-impact, strategic role where you will not be focused on day-to-day operations. Instead, you will lead the discovery, design, and implementation of the next-generation architecture for our data systems, ensuring they are scalable, reliable, and secure. You will work across multiple data, platform, and security teams to define the architectural roadmap and drive its successful execution. We are looking for a seasoned engineer who thrives on solving complex, ambiguous problems and can drive technical alignment across the organization.

Please note: Due to the strategic nature of upcoming projects, this position is open only to US citizens or Green Card holders currently residing in the United States.

What you’ll be doing

Lead the architectural design and evolution of our data platform, defining the roadmap for its future state.
Drive technical strategy for large-scale platform enhancements, balancing long-term goals with incremental delivery.
Collaborate deeply with engineers and leaders from other data, platform, and security teams to create a unified and secure architecture.
Produce architectural artifacts, including design documents, threat models, and technical specifications, to create clarity and alignment for complex initiatives.
Act as a technical mentor and force-multiplier for the Data Engineering team, elevating the performance of the group through guidance, code reviews, and sharing best practices.
Implement foundational components of new architecture, proving out designs with hands-on coding and providing a model for other engineers to follow.

What you’ll bring to the role

A passion for building secure, reliable, and scalable data systems.
8+ years of software development experience, with at least 5+ years in a data engineering or data platform role.
Proven experience designing and delivering large-scale, cross-functional technical projects.
Extensive experience architecting and deploying data infrastructure in a cloud environment (AWS strongly preferred).
Deep architectural knowledge of the modern data stack, including data warehouses (Snowflake), transformation tools (dbt), and orchestrators (Airflow).
Strong proficiency in Python and SQL, with a high bar for code quality and system design.
Excellent communication skills, with the ability to create clarity and drive decisions on complex technical topics.
The ability to deal with ambiguity, define a path forward, and lead others to successful outcomes.

And extra credit if you have experience in any of the following!

Direct experience with security compliance frameworks like FEDRamp, SOC2, or HIPAA.
Hands-on experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
Experience working in government cloud environments (e.g., AWS GovCloud).
Familiarity with the Identity Access & Management (IAM) domain.

We safeguard Okta from threats and vulnerabilities that could disrupt our business or erode our customers’ trust. The Defensive Cyber Engineering organization is responsible for the Security Data Platform, infrastructure, and tooling that enable Okta’s Detection and Response capabilities. The team also manages enterprise security tools and infrastructure that support XDR, DLP, and SSPM capabilities.

The Role

We are expanding this team to support Okta’s Public Sector roadmap by hiring a Staff Software Engineer in the DC area. You’ll work closely with Security, Business Technology Engineering, and Product teams to implement and manage security solutions, ensuring our core infrastructure applications protect our workforce, endpoints, and corporate data.

To deliver on this vision, you will build data and infrastructure platforms by leveraging your software, data, and security engineering skills. You’ll use automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions.

What you bring:

8+ years of strong coding and scripting experience, with a focus on building automation and custom tooling for infrastructure and data pipelines. Experience with Python is required; proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus.
Experience developing and maintaining ETL/ELT pipelines for onboarding security data into Okta’s security data lake.
Experience working with security teams to integrate log sources and ensure seamless data ingestion.
Ability to build and maintain scalable, fault-tolerant data pipelines to process security event data.
Proven track record of automating security controls and workflows using a cloud-first approach.
Experience with Terraform and other infrastructure-as-code tools to orchestrate security infrastructure.
Familiarity with CI/CD pipelines for security automation and drift management.
Strong communication skills, with the ability to collaborate with technical staff, support teams, executive leadership, and external vendors.
2+ years of experience building engineering solutions within highly regulated environments such as FedRAMP High, IL4, IL5, and/or IL6 is a plus.
Current or previous Secret, Top Secret (TS), or Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is a plus.

What you’ll be doing

Serve as a security subject matter expert (SME) for solution engineering and architecture reviews, preferably in the Detection and Response and/or enterprise security tooling space.
Lead technical efforts to evaluate, design, and implement new enterprise security systems and feature enhancements.
Build, maintain, and enhance custom automation and cloud infrastructure using Terraform or similar tools to support team workflows and enforce security controls.
Develop integrations with APIs, cloud platforms (AWS, GCP, Azure), and security infrastructure to improve detection, response, and remediation.
Write and maintain scripts and automations, with an emphasis on Python-based solutions, to streamline security operations.
Establish monitoring and alerting for security posture, misconfigurations, and threats across endpoints, SaaS, and cloud workloads.
Proactively identify and remediate security gaps; stay updated on emerging threats, solutions, and tooling across the industry.

And extra credit if you have experience in any of the following!

Advanced identity management technologies (MFA, SAML, OAuth, OIDC, WebAuthn)
Deep understanding of Okta's ecosystem, including advanced configuration and integrations
Experience with continuous compliance solutions (e.g., policy-as-code, automated evidence gathering)

Additional requirements:

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

#LI-HYBRID

#LI-SH1
P15265_3426903

Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:

$174,000—$238,700 USD

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

Ready to apply?

Apply to Okta

Okta

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Manager, Field Analytics

Okta · Bellevue, Washington; Chicago, Illinois; San Francisco, California; Washington, DC

Apply now

Business Operations-150 United States Posted May 6, 2026

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Field Analytics Team

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is the primary engine for strategic analysis, enabling our leaders to make evidence-based decisions that determine the trajectory of Okta’s growth.

Manager, Field Analytics Opportunity

We are looking for a Manager, Field Analytics to serve as a strategic partner of our Solutions Engineering and Partner organizations. You will transform complex data into actionable strategies, identifying key revenue drivers and building scalable analytical frameworks that directly influence Okta's strategic direction.

You will act as the primary liaison between our data infrastructure and our most technical go-to-market branches. Your mission is to build scalable, flexible reporting that drives proactive insights that optimize technical sales productivity and accelerate partner-led growth while championing the adoption of emerging AI capabilities.

Impact & Responsibilities:

Strategic Partnership: Act as a dedicated analytics lead for the Pre-Sales and Partners operations and leadership teams. Develop deep relationships to understand their business rhythms and operational needs, translating complex business questions into analytical frameworks.
AI Readiness & Innovation: Lead the "AI readiness" initiative for field data. This includes exploring AI solutions to help pre-sales and partner teams drive growth, document processes, and brainstorm innovative ways to use AI tools for internal productivity.
Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets. You will work in close partnership with our offshore delivery team to progress work faster and scale foundation reporting while you focus on high-complexity strategic projects.

Required Skills & Qualifications:

6+ years in an operational and analytical capacity (Sales Operations, Business Intelligence, or Revenue Analytics), preferably within a fast-paced SaaS environment.
Expert-level proficiency in SQL (Snowflake), BI Visualization tools (Tableau), and CRM data (Salesforce).
Proven ability to build advanced analytical models (e.g., productivity modeling, variance analysis) and high-visibility dashboards.
Ability to look beyond the "what" to the "why" and "so what," providing actionable recommendations that change business behavior.
Exceptional written and verbal communication skills, with a proven ability to distill complex technical findings into strategic narratives for senior executives.
A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global delivery model.

Preferred Qualifications:

Track record of experimenting with AI tools (e.g., Gemini, ChatGPT, Claude Code) or implementing AI-based workflows to optimize data modeling and automate documentation.
Proficiency with scripting languages (Python) and modern data modeling frameworks (dbt).
Prior experience supporting a Solutions Engineering or Partner/Channel organization.
Experience in SaaS GTM.

#LI-MC1

#LI-Hybrid

#P5992_3420266

The annual base salary range for this position for candidates located in the San Francisco Bay area is between:

$157,000—$216,000 USD

Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:

$140,000—$193,000 USD

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

Ready to apply?

Apply to Okta

Okta

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Senior Analytics Engineer

Okta · Bellevue, Washington; Chicago, Illinois; San Francisco, California

Apply now

Data & Insights-190 San Francisco Posted May 6, 2026

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

Design, build, and maintain scalable data models using dbt and Snowflake
Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

Implement robust testing, validation, and documentation practices in dbt
Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
Apply data governance best practices, including access controls, lineage, and auditability
Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
Strong SQL skills and experience building analytics-ready data models
Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
Solid understanding of data modeling principles, including dimensional modeling and semantic design
Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
Experience with data quality, testing, and documentation best practices
Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
Experience with BI tools such as Tableau or Looker
Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

Amazing Benefits
Making Social Impact
Fostering Diversity, Equity, Inclusion and Belonging at Okta
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in the San Francisco Bay area is between:

$132,000—$182,000 USD

Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:

$118,000—$162,000 USD

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

Ready to apply?

Apply to Okta

Okta

View all jobs →

Agentic Analytics Engineer

Opendoor · Office - Washington-Seattle

Apply now

Office - Washington-Seattle Posted May 6, 2026

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
Architect systems that shift analytics from "answering questions" to "anticipating needs"
Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

Develop natural language interfaces that let business leaders query data conversationally
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

Design data models that support automated analysis, pattern detection, and AI agent interactions
Build workflows that connect insight generation to recommended actions
Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

Identify high-value opportunities where AI can augment human decision-making
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
Strong Python proficiency for data engineering, automation, and AI agent development
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

Hands-on experience building and deploying AI agents or LLM-powered applications in production
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
Experience architecting semantic layers or natural language interfaces for data access
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
Strong analytical intuition—you know what questions matter before they're asked
Experience translating ambiguous, cross-functional business problems into technical solutions
History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

Experience mentoring other analysts or engineers, formally or informally
Demonstrated ability to influence senior stakeholders and drive alignment across teams
Comfort operating in ambiguity and shaping strategy, not just responding to it
Track record of building systems and processes that scale beyond yourself

Builder Mindset

You ship products, not just dashboards
You'd rather build something useful in a week than something perfect in a quarter
You measure success by business impact, not technical complexity
You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

Experience in real estate, fintech, or marketplace businesses
Background in marketing analytics, sales operations, product analytics, or pricing/economics
History of building tools or platforms that replaced recurring analyst work
Experience leading technical projects or small teams

The base pay range for this position based on level is $186,000 - $256,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-DM

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

Ready to apply?

Opendoor

View all jobs →

Agentic Analytics Engineer

Opendoor · Miami, Florida, United States

Apply now

Engineering Office - Washington-Seattle Posted May 6, 2026

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
Architect systems that shift analytics from "answering questions" to "anticipating needs"
Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

Develop natural language interfaces that let business leaders query data conversationally
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

Design data models that support automated analysis, pattern detection, and AI agent interactions
Build workflows that connect insight generation to recommended actions
Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

Identify high-value opportunities where AI can augment human decision-making
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
Strong Python proficiency for data engineering, automation, and AI agent development
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

Hands-on experience building and deploying AI agents or LLM-powered applications in production
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
Experience architecting semantic layers or natural language interfaces for data access
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
Strong analytical intuition—you know what questions matter before they're asked
Experience translating ambiguous, cross-functional business problems into technical solutions
History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

Experience mentoring other analysts or engineers, formally or informally
Demonstrated ability to influence senior stakeholders and drive alignment across teams
Comfort operating in ambiguity and shaping strategy, not just responding to it
Track record of building systems and processes that scale beyond yourself

Builder Mindset

You ship products, not just dashboards
You'd rather build something useful in a week than something perfect in a quarter
You measure success by business impact, not technical complexity
You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

Experience in real estate, fintech, or marketplace businesses
Background in marketing analytics, sales operations, product analytics, or pricing/economics
History of building tools or platforms that replaced recurring analyst work
Experience leading technical projects or small teams

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

Ready to apply?

Opendoor

View all jobs →

Agentic Analytics Engineer

Opendoor · Toronto

Apply now

Engineering Office - Washington-Seattle Posted May 6, 2026

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
Architect systems that shift analytics from "answering questions" to "anticipating needs"
Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

Develop natural language interfaces that let business leaders query data conversationally
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

Design data models that support automated analysis, pattern detection, and AI agent interactions
Build workflows that connect insight generation to recommended actions
Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

Identify high-value opportunities where AI can augment human decision-making
Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
Strong Python proficiency for data engineering, automation, and AI agent development
Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

Hands-on experience building and deploying AI agents or LLM-powered applications in production
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
Experience architecting semantic layers or natural language interfaces for data access
Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
Strong analytical intuition—you know what questions matter before they're asked
Experience translating ambiguous, cross-functional business problems into technical solutions
History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

Experience mentoring other analysts or engineers, formally or informally
Demonstrated ability to influence senior stakeholders and drive alignment across teams
Comfort operating in ambiguity and shaping strategy, not just responding to it
Track record of building systems and processes that scale beyond yourself

Builder Mindset

You ship products, not just dashboards
You'd rather build something useful in a week than something perfect in a quarter
You measure success by business impact, not technical complexity
You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

Experience in real estate, fintech, or marketplace businesses
Background in marketing analytics, sales operations, product analytics, or pricing/economics
History of building tools or platforms that replaced recurring analyst work
Experience leading technical projects or small teams

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

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Opendoor

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Senior Developer Advocate - Data Observability

Datadog · California, USA, Remote; Colorado, USA, Remote; Illinois, USA, Remote; New York, USA, Remote; Washington, USA, Remote

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Community Remote - California Remote - Colorado Remote - Washington Remote - Illinois Remote - New York Posted May 5, 2026

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
Contribute to the product through feedback (bugs or product enhancements suggestions)
Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are:

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
Publicly available writing samples, demos, repositories, or recordings of technical presentations
Familiarity with modern cloud infrastructure and container-based systems
A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

Experience supporting data pipelines for ML or AI systems
Meaningful contributions to open source or shared technical tooling

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our Internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$194,000—$237,000 USD

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Ready to apply?

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Datadog

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Senior Data Engineer

Metropolis · Nashville, Tennessee, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Los Angeles, California, United States Posted May 5, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
Design and own data architecture for large-scale projects while managing operational trade-offs
Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
Define and manage Service Level Agreements (SLAs) for all owned data sets
Implement data security models, ensure privacy compliance, and evolve data governance processes
Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
Maintain production processes by optimizing complex code using advanced algorithmic concepts
Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
Mentor team members through actionable feedback to foster collective skill growth
Maintain flexibility with availability during evening hours

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
master's degree is preferred
5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
Ability to deliver high standards of code quality, system reliability, and performance
Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

Experience with Spark and PySpark
Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Metropolis

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Senior Data Engineer

Metropolis · Chicago, Illinois, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Los Angeles, California, United States Posted May 5, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
Design and own data architecture for large-scale projects while managing operational trade-offs
Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
Define and manage Service Level Agreements (SLAs) for all owned data sets
Implement data security models, ensure privacy compliance, and evolve data governance processes
Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
Maintain production processes by optimizing complex code using advanced algorithmic concepts
Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
Mentor team members through actionable feedback to foster collective skill growth
Maintain flexibility with availability during evening hours

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
master's degree is preferred
5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
Ability to deliver high standards of code quality, system reliability, and performance
Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

Experience with Spark and PySpark
Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Metropolis

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Senior Data Engineer

Metropolis · Los Angeles, California, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Los Angeles, California, United States Posted Apr 30, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
Design and own data architecture for large-scale projects while managing operational trade-offs
Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
Define and manage Service Level Agreements (SLAs) for all owned data sets
Implement data security models, ensure privacy compliance, and evolve data governance processes
Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
Maintain production processes by optimizing complex code using advanced algorithmic concepts
Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
Mentor team members through actionable feedback to foster collective skill growth
Maintain flexibility with availability during evening hours

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
master's degree is preferred
5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
Ability to deliver high standards of code quality, system reliability, and performance
Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

Experience with Spark and PySpark
Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Metropolis

View all jobs →

Senior Data Engineer

Metropolis · Seattle, Washington, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Los Angeles, California, United States Posted Apr 30, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
Design and own data architecture for large-scale projects while managing operational trade-offs
Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
Define and manage Service Level Agreements (SLAs) for all owned data sets
Implement data security models, ensure privacy compliance, and evolve data governance processes
Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
Maintain production processes by optimizing complex code using advanced algorithmic concepts
Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
Mentor team members through actionable feedback to foster collective skill growth
Maintain flexibility with availability during evening hours

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
master's degree is preferred
5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
Ability to deliver high standards of code quality, system reliability, and performance
Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

Experience with Spark and PySpark
Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Metropolis

View all jobs →

Senior Data Engineer

Metropolis · New York, New York, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Los Angeles, California, United States Posted Apr 30, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
Design and own data architecture for large-scale projects while managing operational trade-offs
Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
Define and manage Service Level Agreements (SLAs) for all owned data sets
Implement data security models, ensure privacy compliance, and evolve data governance processes
Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
Maintain production processes by optimizing complex code using advanced algorithmic concepts
Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
Mentor team members through actionable feedback to foster collective skill growth
Maintain flexibility with availability during evening hours

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
master's degree is preferred
5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
Ability to deliver high standards of code quality, system reliability, and performance
Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

Experience with Spark and PySpark
Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Watch to learn more about Valera Health here!

Metropolis

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Licensed Mental Health Associate

Valera Health · Spokane, WA

Apply now

Therapy Washington Posted Apr 29, 2026

Are you looking for a career that aligns your passion and values with your purpose? Then we are looking for you!

At Valera Health we are at the forefront of tele-mental health. We are committed to delivering compassionate mental health care that is accessible and affordable to all. To learn more about Valera, check us out HERE.

At Valera Health, we believe exceptional mental healthcare starts with supporting exceptional providers. Founded by clinicians who know how hard it is to find quality care for everyone, especially underserved communities, we’ve built something different—a place where you can focus entirely on what you do best: providing compassionate, evidence-based care to those who need it most.

As a therapist with Valera, you'll treat the complex cases others turn away—from mild anxiety to schizophrenia and bipolar disorder—while our dedicated administrative team handles all the scheduling, billing, and prior authorizations. This means you can practice at the top of your license alongside psychiatrists, medical assistants, and care coordinators, delivering care that truly transforms lives.

Ready to be part of something bigger? Join our mission to make quality mental healthcare accessible to everyone.

Join the Valera Community:

Enjoy competitive compensation and benefits because your expertise deserves to be valued.Deliver exceptional, inclusive mental healthcare that truly meets patients where they are.Become part of a supportive provider community with a compassionate care team genuinely dedicated to patient outcomes.Collaborate within our vetted in-house network of health coaches, therapists, nurse practitioners, and psychiatrists with diverse expertise.Focus on clinical work while we provide the technology and EMR systems for efficient, effective care delivery.Receive comprehensive support including malpractice insurance, healthcare benefits, continuing education, PTO, and competitive per-visit compensation. Access clinical training opportunities to expand your skills (with available CEUs). Set your own schedule and work remotely while earning steady, predictable pay.

Job Duties:

Render evidence-based treatment to a spectrum of patients ages 12+
Provide an array of mental health services to promote individualized patient recovery primarily through telehealth video or telephone.
Conduct intakes, individual, group, and family therapy when applicable.
Provide mental health assessments, counseling, referrals, and intervention services.
Complete and maintain documentation in a timely and accurate manner and according to Federal, State, and company guidelines.

Requirements:

Active LMHCA license
Minimum 1 year of 1:1 clinical experience using evidence-based treatment
Experience with EMR documentation and treatment planning
Reliable technology access: high-speed internet and private workspace for confidential sessions
Willingness to obtain additional state licenses

What Makes You Stand Out:

Fluency in Spanish, Mandarin, or Cantonese
Training in EMDR, DBT, or other specialized modalities
Telehealth or remote experience
Self-motivated with strong independent work skills and collaborative team spirit
Excellent engagement and assessment abilities with diverse patient populations

Be part of our mission!

We are very proud of the work that we do and it takes a great team to make it happen! If you are interested in one of our open positions, we’d love to start the conversation.

We hire people from all backgrounds because that’s what it takes to build a team that can reach and support those in need of high-quality behavioral healthcare. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Check us out on Linkedin!

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Valera Health

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Lead Actuarial Analyst, MA Risk Adjustment

Strive Health · Washington, D.C.

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Healthcare Economics Hybrid Posted Apr 29, 2026

How You’ll Make An Impact

At Strive Health, patients come first. We’re on a mission to transform chronic conditions by identifying risk earlier, coordinating thoughtful care, and supporting people through every stage of their health journey.

Our work reduces emergency visits, improves outcomes, and helps patients live fuller lives. You’ll work alongside passionate Strivers who care deeply about making an impact, show up for one another as One Team, and find ways to elevate the everyday.

If you’re looking for meaningful work where your contributions truly matter, you’ll feel right at home at Strive!

Benefits & Perks

Hybrid-Remote Flexibility – Work from home while fulfilling in-person needs at the office, clinic, or patient home visits.
Comprehensive Benefits – Medical, dental, and vision insurance, employee assistance programs, employer-paid and voluntary life and disability insurance, plus health and flexible spending accounts.
Financial & Retirement Support – Competitive compensation with a performance-based bonus program, 401k with employer match, and financial wellness resources.
Time Off & Leave – Paid holidays, vacation time, sick time, and paid birthgiving, bonding, sabbatical, and living donor leaves.
Wellness & Growth – Family forming services through Maven Maternity at no cost and physical wellness perks, mental health support, and an annual professional development stipend.

To learn more about our offerings, click here.

What You'll Do

We are seeking a Lead Actuarial Analyst, MA Risk Adjustment to join our high-performing, insights-driven team. You will play a critical role in evaluating financial performance, uncovering areas of opportunity, and use your 3+ actuarial exam progress to help translate complex data into actionable strategies. Your work will directly influence how Strive supports patients, clinicians, and markets in achieving both clinical and financial success. (This position is internally titled Lead Analyst, Risk Adjustment Analytics).

Essential Functions

Translate RA performance data into clear financial insights (i.e. revenue impact, payment accuracy, ROI, forecasting).
Analyze CMS data to identify areas of opportunity to increase operational efficiency.
Interpret trends, model scenarios, and assess program and policy impacts.
Enable data-driven decisions by linking operational performance to enterprise financial outcomes.
Perform end-to-end reconciliation from submissions to CMS acceptance, RAF leakage, and implement controls.
Develop business cases to assess opportunity, determine target metrics, and provide data driven insights to support investment decisions (i.e. staffing, tech, etc.).
Prepare and deliver clear and concise reports, presentations, and recommendations to senior leadership, illustrating the findings and implications of analyses conducted.

Who You Are

A highly analytical problem-solver with a strong sense of ownership and intellectual curiosity.
Able to manage a high volume of recurring and ad hoc deliverables without compromising quality.
Comfortable navigating ambiguity and bringing structure to complex problems.
An exceptional communicator who can translate technical findings into actionable business recommendations.

Qualifications

4+ years of experience in risk adjustment analytics.
4+ years of experience analyzing MMR, MOR, MAO-004 and medical claims data.
3+ actuarial exams passed.
High degree of proficiency in Microsoft Excel and SQL.
Experience with PBI, Redshift, dbt docs is a plus.
Bachelor’s degree in a quantitative or health-related field (e.g., Economics, Public Health, Statistics, Health Services Research, Math, Finance).

Annual Salary Range: $99,000 - $124,000. This position is also eligible for a target annual bonus of 10%

Final compensation will be determined based on location, experience, and qualifications.

Strive Health is an equal opportunity employer and drug free workplace. At this time Strive Health is unable to provide work visa sponsorship. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please apply even if you feel you do not meet all qualifications. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to talentacquisition@strivehealth.com.

We do not accept unsolicited resumes from outside recruiters/placement agencies. Strive Health will not pay fees associated with resumes presented through unsolicited means.

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Strive Health

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DA

Remote Therapist — LMFT, LMHC, or LICSW | $75–115/hr | Part-Time 1099

Daybreak Health · Washington

Apply now

Clinical Remote - Washington Posted Apr 28, 2026

Who This Role Is For

You're a fully licensed clinician (LMFT, LMHC, or LICSW) in Eastern Washington who wants a part-time telehealth caseload that pays at the level your licensure deserves. Spokane's behavioral health market has historically undercompensated fully licensed clinicians — this role is a direct alternative to that, with no commute, no office overhead, and a rate that reflects your experience.

What Makes This Different

$75–115/hr based on session type and caseload — significantly above typical Eastern WA clinical rates
Guaranteed pay for late cancellations and no-shows — your time is always compensated
1099 independent contractor — the flexibility and tax advantages of self-employment with none of the private practice overhead
Fully remote — work from Spokane or anywhere in Washington
Flexible scheduling — set your own afternoons, evenings, or weekends
No billing, no credentialing, no admin — we handle everything

The Work

You'll provide evidence-based teletherapy to K–12 students across Washington, collaborating with school counselors and families statewide. Case consultations and clinical team discussions are a regular part of the role.

What Our Clinicians Are Saying

"I feel so honored and privileged to work with this group of clinicians. You make me better every day."

"I absolutely love working with my young clients. They are so real, honest, and...hilarious! They're the ones inspiring me!"

What You Need

Active LMFT, LMHC, or LICSW in Washington (required — we are not able to hire other license types at this time)
Experience or strong interest in working with school-aged youth and families
Comfortable with telehealth and EHR systems
Availability during afternoon/evening hours

Preferred

CBT, DBT, or similar modality training
School-based or youth clinical experience
Active NPI and CAQH
Bilingual Spanish/English fluency

Pay Range

$75—$115 USD

Ready to apply?

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DA

Daybreak Health

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DA

Remote Therapist — LMFT, LMHC, or LICSW | $75–115/hr | Part-Time 1099

Daybreak Health · Washington

Apply now

Clinical Remote - Washington Posted Apr 28, 2026

Who This Role Is For

You're a fully licensed clinician in the Tacoma area — LMFT, LMHC, or LICSW — who wants a high-paying part-time telehealth caseload without the overhead of private practice. Maybe you're already working full-time and want to supplement your income. Maybe you want to scale back and build something more flexible. Either way, this role is designed to work around you.

What Makes This Different

$75–115/hr based on session type and caseload — strong compensation with zero overhead
Guaranteed pay for no-shows and late cancellations
1099 independent contractor — work on your own terms with the tax flexibility of self-employment
Fully remote — work from Tacoma or anywhere in Washington
Set your own schedule — evenings, weekends, or whenever works for you
No billing, no credentialing, no admin — we handle everything

The Work

You'll provide evidence-based teletherapy to K–12 students across Washington, collaborating with school counselors and families statewide. Case consultations and clinical team discussions are a regular part of the role.

What Our Clinicians Are Saying

"As we learn, we're teaching each other. A lot of the interventions that I've used are things I've learned from other clinicians. I really love the clinical collaboration."

"I absolutely love working with my young clients. They are so real, honest, and...hilarious! They're the ones inspiring me!"

What You Need

Active LMFT, LMHC, or LICSW in Washington (required — we cannot hire other license types at this time)
Experience or strong interest in youth and family-focused care
Comfortable with telehealth and EHR systems
Availability during afternoon/evening hours

Preferred

CBT, DBT, or similar evidence-based modality experience
School-based or pediatric clinical background
Active NPI and CAQH
Bilingual Spanish/English fluency

Pay Range

$75—$115 USD

Ready to apply?

Apply to Daybreak Health

DA

Daybreak Health

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DA

Remote Therapist — LMFT, LMHC, or LICSW | $75–115/hr | Part-Time 1099 | Washington

Daybreak Health · Washington

Apply now

Clinical Remote - Washington Posted Apr 28, 2026

Who This Role Is For

You're a fully licensed clinician (LMFT, LMHC, or LICSW) in Washington who wants a flexible part-time telehealth caseload that pays well, requires zero administrative overhead, and fits around your existing work or life. You're not looking for another full-time job — you want meaningful work on your terms, with a rate that reflects your licensure level.

What Makes This Different

$75–115/hr based on session type and caseload — one of the strongest rates for part-time telehealth in Washington
Guaranteed pay for late cancellations and no-shows — your time is always compensated
1099 independent contractor — flexibility and tax advantages of self-employment, with none of the overhead of private practice
Fully remote — work from anywhere in Washington
Flexible scheduling including evenings and weekends
No billing, no credentialing, no admin — we handle everything
90% of students say we matched them to the right clinician

The Work

You'll provide evidence-based teletherapy to K–12 students across Washington, collaborating with school counselors and families statewide. You'll participate in case consultations and contribute to clinical program development as we grow.

What Our Clinicians Are Saying

"I feel so honored and privileged to work with this group of clinicians. You make me better every day."

"I absolutely love working with my young clients. They are so real, honest, and...hilarious! They're the ones inspiring me!"

What You Need

Active LMFT, LMHC, or LICSW license in Washington (required — we are not able to hire other license types at this time)
Experience or strong interest in working with school-aged youth and families
Comfortable with telehealth and EHR systems
Availability during afternoon/evening hours

Preferred

Experience in CBT, DBT, or similar modalities
Prior school-based or youth-focused experience
Active NPI and CAQH
Bilingual Spanish/English fluency

Pay Range

$75—$115 USD

Ready to apply?

Apply to Daybreak Health

DA

Daybreak Health

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Senior Data Platform Engineer

Rocket Money · San Francisco, CA, Washington, D.C., New York City, NY, Detroit, MI, Phoenix, AZ, Miami, FL, Denver, CO.

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Data New York Detroit Miami San Francisco Washington, DC Posted Apr 24, 2026

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
Expertise in cloud platforms and technologies analogous to our stack:
- Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
- Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)
Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Senior Analytics Engineer

Metropolis · Los Angeles, California, United States

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Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Nashville, Tennessee, United States Posted Apr 24, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
Manage and optimize DAGs, including troubleshooting task failures and improving run times
Implement metadata management, data lineage, and security principles such as least-privilege access
Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
Partner with engineering, data science, and business stakeholders to own project scopes
Mentor others on data best practices to drive impact through your data vision
Provide architectural guidance to ensure data is accessible and actionable across the company
Drive technical excellence within the data engineering and analytics domain

What we're looking for

5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
3+ years of experience with dbt
Owned large-scale data projects that drove significant impact through effective cross-functional partnering
Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
Expert at SQL, window functions, and query optimization for complex data manipulations
Applied performance best practices, including partitions, sort keys, and incremental modeling
Designed systems using test-driven approaches to ensure data quality and flow integrity
Familiarity with ELT processes and tools to prepare and clean data for analysis
Skill in using tools like dbt to build data transformation pipelines
Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Metropolis

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Senior Analytics Engineer

Metropolis · Seattle, Washington, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Nashville, Tennessee, United States Posted Apr 24, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
Manage and optimize DAGs, including troubleshooting task failures and improving run times
Implement metadata management, data lineage, and security principles such as least-privilege access
Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
Partner with engineering, data science, and business stakeholders to own project scopes
Mentor others on data best practices to drive impact through your data vision
Provide architectural guidance to ensure data is accessible and actionable across the company
Drive technical excellence within the data engineering and analytics domain

What we're looking for

5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
3+ years of experience with dbt
Owned large-scale data projects that drove significant impact through effective cross-functional partnering
Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
Expert at SQL, window functions, and query optimization for complex data manipulations
Applied performance best practices, including partitions, sort keys, and incremental modeling
Designed systems using test-driven approaches to ensure data quality and flow integrity
Familiarity with ELT processes and tools to prepare and clean data for analysis
Skill in using tools like dbt to build data transformation pipelines
Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Metropolis

View all jobs →

Senior Analytics Engineer

Metropolis · New York, New York, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Nashville, Tennessee, United States Posted Apr 24, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
Manage and optimize DAGs, including troubleshooting task failures and improving run times
Implement metadata management, data lineage, and security principles such as least-privilege access
Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
Partner with engineering, data science, and business stakeholders to own project scopes
Mentor others on data best practices to drive impact through your data vision
Provide architectural guidance to ensure data is accessible and actionable across the company
Drive technical excellence within the data engineering and analytics domain

What we're looking for

5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
3+ years of experience with dbt
Owned large-scale data projects that drove significant impact through effective cross-functional partnering
Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
Expert at SQL, window functions, and query optimization for complex data manipulations
Applied performance best practices, including partitions, sort keys, and incremental modeling
Designed systems using test-driven approaches to ensure data quality and flow integrity
Familiarity with ELT processes and tools to prepare and clean data for analysis
Skill in using tools like dbt to build data transformation pipelines
Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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Metropolis

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Senior Analytics Engineer

Metropolis · Chicago, Illinois, United States

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Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Nashville, Tennessee, United States Posted Apr 24, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
Manage and optimize DAGs, including troubleshooting task failures and improving run times
Implement metadata management, data lineage, and security principles such as least-privilege access
Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
Partner with engineering, data science, and business stakeholders to own project scopes
Mentor others on data best practices to drive impact through your data vision
Provide architectural guidance to ensure data is accessible and actionable across the company
Drive technical excellence within the data engineering and analytics domain

What we're looking for

5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
3+ years of experience with dbt
Owned large-scale data projects that drove significant impact through effective cross-functional partnering
Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
Expert at SQL, window functions, and query optimization for complex data manipulations
Applied performance best practices, including partitions, sort keys, and incremental modeling
Designed systems using test-driven approaches to ensure data quality and flow integrity
Familiarity with ELT processes and tools to prepare and clean data for analysis
Skill in using tools like dbt to build data transformation pipelines
Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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Senior Analytics Engineer

Metropolis · Nashville, Tennessee, United States

Apply now

Data Engineering & Analytics New York, New York, United States Seattle, Washington, United States Chicago, Illinois, United States Nashville, Tennessee, United States Posted Apr 24, 2026

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
Manage and optimize DAGs, including troubleshooting task failures and improving run times
Implement metadata management, data lineage, and security principles such as least-privilege access
Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
Partner with engineering, data science, and business stakeholders to own project scopes
Mentor others on data best practices to drive impact through your data vision
Provide architectural guidance to ensure data is accessible and actionable across the company
Drive technical excellence within the data engineering and analytics domain

What we're looking for

5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
3+ years of experience with dbt
Owned large-scale data projects that drove significant impact through effective cross-functional partnering
Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
Expert at SQL, window functions, and query optimization for complex data manipulations
Applied performance best practices, including partitions, sort keys, and incremental modeling
Designed systems using test-driven approaches to ensure data quality and flow integrity
Familiarity with ELT processes and tools to prepare and clean data for analysis
Skill in using tools like dbt to build data transformation pipelines
Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Ready to apply?

Metropolis

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RE

AI/ML Engineer

Redapt · Woodinville, Washington, United States

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Advanced Analytics Redapt Head Quarters Posted Apr 8, 2026

Data Scientist

Location: Woodinville, WA

Details: Hybrid

Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering innovative solutions and services that power our customers' most demanding applications and enable them to extract powerful insights from data that drive true business value.  

We are looking for a versatile AI/ML Engineer who can lead, sell, design, and implement modern architecture for a diverse set of customers and industries. The ideal candidate would have deep experience in designing high-value advanced analytics solutions utilizing popular analytical frameworks running on Azure, GCP, and AWS. This position will be responsible for leading customer conversations, creating and presenting project architecture, and leading delivery.

Primary responsibilities include mentoring and leading other consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. The role can be hands-on when necessary but should have Direct delivery experience to recommend technologies, solutions, and help troubleshoot.   

Responsibilities:

Drive growth through business development, resourcing, and quality delivery.

Monitor business impact and value generation of analytics projects.

Help create go-to-market strategies around advanced AI/ML Services and hardware.

This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals.

Create proposals and SOWs.

Work closely with sales and other practice leaders to recommend strategies to grow our data science services.

Manage full sales cycles, end-to-end, for high potential clients.

Evaluate business impact and priority initiatives for our portfolio of managed analytics customers.

Talent Leadership and Product Ownership.

Help with planning and staffing for data science projects.

Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations.

Train the data science team on best practices and new technology initiatives.

Anticipate the impact of new technologies and frameworks and help create compelling data science offerings to our clients.

Skills you bring with you:

Knowledge of how to use data science/AI/ML techniques in operations to impact corporate financials.

Working knowledge of DevOps process (CI/CD) applied to data science and ML ops.

Qualifications:

Bachelor’s or Master’s Degree in Advanced Math, Data Science, or Computer Science.

5-8+ years of experience with advanced data science techniques, frameworks, libraries, and technologies including but not limited to:

Tensorflow, KubeFlow, Python, R, Keras, NumPY, SciKit, PyTorch, SQL.
Azure ML, Vertex AI, SageMaker, Databricks, Big query/Redshift/Snowflake
ELT/ELT/Pipeline Design, Data Modeling, Spark, Airflow/DBT and API Integration Patterns

Nice to have: 

LLM’s, RAG, Vector Databases, Prompt Evaluation, GenAI Solution Patterns

The base salary range for this full-time position in the US is $130,000 - $140,000 annually + bonuses + benefits. Redapt salary ranges are determined by role, level, and location. The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience. Please note that the compensation details listed in the US role postings reflect the base salary only, and do not include bonuses or benefits.

Equal Employment Opportunity:

Redapt is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. All employment is decided based on qualifications, merit, and business need.

#LI-TS1

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Redapt

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Manager, BI + Analytics Engineer

Peregrine Technologies · Washington, D.C.

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Business Development San Francisco Posted Apr 7, 2026

Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.

The Role

As Peregrine’s Manager, BI + Analytics Engineer, you’ll play a foundational role in shaping how data is modeled, accessed, and used across the company. You will own the architecture and execution of our internal analytics stack, partnering closely with stakeholders across Product, Sales, Finance, and Operations to turn raw data into insight and insight into action.

This is a highly cross-functional and high-visibility role — you’ll work directly with leaders across the business to define KPIs, automate workflows, and level up our data infrastructure. If you're a hands-on builder who thrives in ambiguity, loves translating business questions into clean data pipelines, and wants to shape the future of data at a mission-driven company, we want to hear from you.

What You'll Do

Own and scale our data warehouse to support a fast-growing Go-To-Market and product ecosystem
Build and maintain ETL pipelines using dbt to integrate data from tools, apps, and third-party platforms
Design clean, reusable data models that power reporting across Sales, Marketing, Product, and Finance
Create dashboards and analysis that uncover trends in revenue, product usage, and customer behavior
Set up data quality checks and alerts to ensure accurate, timely, and trustworthy data
Support planning and forecasting by partnering with teams to define KPIs and build forward-looking models

What We Look For

4+ years of experience as a BI Engineer, Analytics Engineer, or Data Engineer in a fast-growing tech environment
Strong command of SQL and data modeling best practices
Proficiency in dbt, modern data warehouses (Snowflake/BigQuery), and orchestration tools (Airflow, Prefect)
Experience with BI tools such as Looker, Hex, Mode, Sigma, or similar
Strong product and business sense — you know how to balance technical purity with speed, scalability, and impact
Comfort working autonomously and owning projects end-to-end
Excellent communication skills with an ability to translate complex concepts to non-technical audiences
Located in Washington, D.C. and willing to work in office four days a week

Salary Range: $150,000 - $180,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific work location. Information on the benefits offered is here.

Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Data Engineer II

Alphataraxia · Washington, District of Columbia, United States

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Technology Washington, DC Posted Apr 3, 2026

Company

Alphataraxia Management (ATX) is a fast-growing quantitative investment management group with offices in both Washington, DC and Downtown Los Angeles, CA. We specialize in wholesale electricity markets, where extreme volatility is the norm and the marketplace is constantly evolving, presenting new opportunities for growth and insight. We are currently one of the top participants in the power markets and are looking for hard-working candidates with genuine enthusiasm for solving complex problems to join our collaborative and high-caliber team. Here’s a little bit more about us:

We love to explain how things work both fundamentally and quantitatively.
We build all our own proprietary tools, enabling us to prototype, iterate quickly, and pivot when necessary.
We automate as many redundant processes as possible to maximize time spent on analysis, moving with minimal bureaucracy and a high level of ownership.
We take immense pride in our company values—you can learn more about them here.

Job Description

The Data Engineer II will play an important role in expanding our data engineering capabilities. Your primary responsibility will be to build and maintain the data pipelines and supporting infrastructure that power our business. As a Data Engineer II, you will be instrumental in developing and maintaining these systems, ensuring the seamless flow and integrity of critical data to support informed decision-making and transactions while collaborating with stakeholders across the business. We are looking for an engineer with a strong sense of ownership and a growth mindset.

Responsibilities

Build out proprietary systems that are the backbone of our business in trading speculative wholesale power contracts
Own and maintain data pipelines to ingest and deliver data from various sources into our databases using ELT/ETL patterns
Define downstream business marts used as critical inputs into investment decisions
Embed validation, lineage, and anomaly detection into data pipelines
Implement data management policies across pipelines and datasets, including metadata management, retention policies, and access controls
Partner closely with investment engineers and investment teams to understand data needs, identify gaps, and advise on performance of their processes
Identify process inefficiencies and proactively create solutions to reduce manual work
Collaborate with software engineers to design, build, and maintain reliable systems for our data infrastructure
Leverage AI tools to accelerate development while maintaining full ownership of outcomes

Applicant Requirements

3+ years of experience as a Data Engineer or in the data engineering field
Professional experience using Snowflake
Professional experience with Dagster and dbt
Strong coding skills in Python, SQL, and PHP
Experience with complex data modeling
An ability to grapple with quantitative concepts and systems, as this role interfaces with largely technical and quantitative peers
Comfort working both individually as well as collaboratively in a fast-paced and dynamic environment
Excellent verbal and written communication skills; ability to collaborate with stakeholders across the business
Strong ownership of work to proactively lead improvements for the Data Engineering team
Comfort with occasional on-call rotation responsibilities

Benefits

We strive to offer best-in-class compensation and benefits alongside an unrivaled work-life balance.

Competitive annual salary and discretionary performance-based bonus
25 paid vacation days + 7 paid federal holidays
Excellent health, dental, and vision insurance (including HSA option) with no monthly premiums for best-in-class platinum individual plan
401k match—100% company matching on the first 4% of deferrals with immediate vesting
Annual firmwide weeklong summit
Hybrid remote work environment—most of the year we are in the office Tuesday to Thursday with remote flexibility Monday and Friday
Flexible remote work months—fully remote option for the month of July and between Thanksgiving and New Years
Casual environment (informal attire)
Snacks and unlimited coffee in the office
Firm sponsored social events including happy hours, lunches, book club, and more!

Application

Please note that we can only extend offers to individuals that are authorized to work in the US; we are unable to sponsor visa applications at this time.

The base salary for this role is $150,000-170,000.

Alphataraxia’s privacy notice is available here: https://www.alphataraxia.com/privacy-notice

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Threat Collections Engineer

Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC

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Safeguards (Trust & Safety) Washington, D.C. Posted Apr 3, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We are looking for a Threat Collections Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact.

This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.

Responsibilities:

Build automated detection systems that use disparate signals to identify abusive behavior.
Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes
Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data
Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations
Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries
Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure
Establish feedback loops with investigators to tune detection systems and reduce false positives
Scrape and normalize data from external sources to feed threat detection and enrichment workflows

You may be a good fit if you:

Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation
Have experience with data pipeline orchestration tools (Airflow, DBT, or similar)
Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques
Have experience integrating external APIs and building data ingestion systems
Can translate investigator needs and workflows into technical requirements
Are comfortable building v0 systems and iterating based on user feedback
Have strong communication skills for working closely with non-engineering stakeholders

Strong candidates may also have:

Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII)
Background in cyber threat intelligence, security operations, or abuse detection
Experience building MCP servers or similar tool integrations for AI systems
Familiarity with web scraping and data extraction at scale
Experience with behavioral analytics or anomaly detection systems
Understanding of LLM capabilities and how to leverage them for automation
A Top Secret Clearance

Deadline to apply:
None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$300,000—$320,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Data Scientist

Possible Finance · Seattle, Washington, United States

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Data Seattle Posted Apr 1, 2026

Since our founding, we have redefined how people approach small-dollar loans—delivering over $1 billion in funding to more than 1.5 million customers, issuing over 4 million loans, and saving our customers more than $650 million.

At Possible, we’re building a new type of consumer finance company; one that helps our customers stay out of debt rather than profit from their staying in it. We are a Public Benefit Corporation with the mission to help communities unlock economic mobility through affordable credit products crafted to improve financial health for generations. Join the team that’s making our goal a reality.

Team Introduction

Our data science team sits at the center of a growing company, building the models, tools, and analytical infrastructure that power how Possible makes decisions, monitors risk, and operates with rigor at scale. We are seeking a Data Scientist to work at the intersection of analytics, model governance, and internal tooling – growing our capacity to support the teams and systems that help Possible move fast and make good decisions.

The Role

You will own a structured framework to evaluate new data sources and modeling techniques. Your analyses will include clear assumptions that guide our data vendor budget and investment decisions. You will build out model monitoring and governance infrastructure — turning it from a reactive compliance exercise into a proactive utility. Working cross-functionally, you'll collaborate with internal teams to develop analytical tools and automations that ease bottlenecks. This enables other teams to access data independently and find answers without relying on advanced analytics repeatedly.

What You'll Bring

Must-Have

2–4 years of hands-on experience in data science or analytics
Strong Python and SQL skills for analysis and automation
Proven statistical foundation: you can frame a hypothesis, develop a meticulous test, and communicate results — including their limitations — to non-technical partners
Strong data visualization skills
A service mentality: you build things people actually use, you get happiness from unblocking others, and you know how to balance rigor with shipping

Preferred

Background in consumer finance or credit risk
Experience with model governance or model validation
Experience with AI or LLM platforms in an applied context
Track record supporting cross-functional teams with analytical work
Testing or QA mentality — validating that what was built does what it should

Nice-to-Have

Experience with dbt or Airflow
Dashboard design and management experience

This is a hybrid position with a shared in-office schedule of Monday, Tuesday, and Thursday. Our office is centrally located in downtown Seattle.

The compensation range for this role is $161,000 to $175,000. In addition to base salary, We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.

With the backing of our venture investors— Union Square Ventures, Canvas Ventures, Euclidean Capital, and Unlock Venture Partners — a dedicated following of hundreds of thousands of customers, and an extraordinary team, we are unwavering in our fight for financial fairness. As one of only a few FinTech Public Benefit Corporations, we’ve baked our dual dedication to building a profitable and socially impactful company into our charter; we only succeed when our customers do too. Give us a shout if you’d like to help us ship financial products that protect consumers from predatory lending practices and promote economic health.

Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come.

Learn more about us as a Public Benefit Company.

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Team Leader, Analytics Engineering

Rocket Money · San Francisco, CA, Washington, D.C., New York City, NY, Detroit, MI, Phoenix, AZ, Miami, FL, Denver, CO.

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Data New York Detroit Miami San Francisco Washington, DC Posted Mar 23, 2026

ABOUT ROCKET MONEY🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.

ABOUT THE TEAM 🤝

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation.

Our team values:

Collaboration - We're team players who excel at cross-functional partnership with product and engineering teams
Impact - We transform raw data into strategic insights that drive business decisions
Growth - We continuously refine our craft while supporting each other's professional development

We're growing our team and are looking for an Analytics Engineering Team Leader who is committed to building an equitable, healthy work environment where team members thrive. In this role, you'll elevate our Analytics Engineering practice, mentor talented engineers, be a hands on contributor to our dbt and LookML code bases, and champion data-driven decision making across the organization. You'll help shape how Rocket Money uses data to understand our customers and products while building a world-class team.

Our Tech Stack: BigQuery, dbt, Looker, Amplitude, Fivetran, Datadog, git, Deepnote

IN THIS ROLE, YOU'LL:

Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
Lead and manage a team of 4-6 analytics engineering professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
- Evolve team development standards, including technical skill frameworks, career ladders, and learning pathways. Create a culture of continuous improvement through code reviews, knowledge sharing sessions, and mentorship programs that elevate the entire team's capabilities.
- Champion data quality and attention to detail as core team values, establishing review processes and quality gates that ensure the accuracy and reliability of analytics outputs while still shipping iteratively and building stakeholder trust through visible progress.
Foster strong working relationships with other leaders at the company, advocating for your team's involvement at the right time and driving high quality analytics delivery across teams.
Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
You're energized by problems that don't come with clearly defined requirements, and you know how to work with stakeholders to scope what's actually measurable.

ABOUT YOU 🦄

Technical Leadership

You have hands-on experience with the modern analytics stack (e.g., dbt, Snowflake/BigQuery, Looker/Tableau/Databricks/Omni) and can guide technical decisions while establishing quality standards and review processes that ensure data accuracy.
You have deep expertise in analytics engineering and a strong understanding of data systems and processes, especially delivery of maintainable/scalable models that meet stakeholder needs and support self service. You have experience implementing analytics engineering best practices (version control, testing, documentation, CI/CD) and can balance delivery speed with analytical rigor.
You have strong software engineering fundamentals and the curiosity to dive into application codebases to understand data generation at its source. You believe analytics engineers should understand the full data lifecycle - from how events are instrumented in production code to how they're modeled in the warehouse.

Strategic & Business Acumen

You can translate business objectives into technical roadmaps and have experience building self-service analytics strategies that scale across organizations.
You lead a team that gets ahead of the business, building tooling and documentation so stakeholders can answer their own questions without waiting on a ticket.

People Leadership

You have 5+ years of experience managing analytics engineering professionals. You've successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. You're passionate about developing talent and have a track record of building career frameworks, implementing mentorship programs, and helping analytics engineers grow from mid-level to senior roles.

Communication & Collaboration

You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
You're an exceptional communicator who can explain complex data concepts to non-technical stakeholders and advocate for data-driven decision making at the executive level.

Growth Mindset

You want to continue to grow and learn. You are excited by hard problems and big challenges.
Experience in fintech, banking, or finance is a plus.

WE OFFER 💫

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)
Commuter benefits (in-office only)

Additional information: Salary range of $170,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Rocket Money

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Software Engineer, Financial Systems

Opendoor · Seattle, Washington, United States

Apply now

Engineering Toronto Posted Mar 23, 2026

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations. We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention. You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
Languages: Python, Go, SQL, TypeScript/Node.js
Infrastructure: AWS, Terraform, Docker, GitHub Actions
AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
Track record building AI-powered automation, workflow orchestration, or internal tools.
M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.

Ready to apply?