Your Opportunity

We are seeking a hands-on Data Engineer to design, build, and maintain reliable ELT pipelines and production-grade analytics models in Snowflake.

This role requires strong SQL expertise, deep DBT experience, and demonstrated ability to independently build and troubleshoot end-to-end data pipelines — from ingestion (APIs, change data capture) through transformation and BI consumption.

The ideal candidate takes ownership of data systems, proactively identifies failure points, and delivers production-ready solutions without sustained oversight.

Your Responsibilities

ELT Pipeline Development

• Design and implement end-to-end ELT pipelines into Snowflake.
• Build and maintain ingestion pipelines from:
  • Third-party APIs
  • SaaS platforms
  • Internal application databases
• Implement and maintain Change Data Capture (CDC) processes.
• Ensure incremental loading, idempotency, and data consistency.
• Diagnose and resolve ingestion failures independently.

Data Modeling & Transformation (DBT)

• Design layered DBT models (staging, intermediate, marts).
• Write high-quality, performant SQL transformations.
• Implement incremental models and testing strategies.
• Optimize transformations for cost and performance in Snowflake.
• Ensure transformations are production-ready and validated prior to deployment.

Data Quality & Monitoring

• Implement data validation and anomaly detection checks.
• Design monitoring around pipeline failure modes.
• Perform structured root cause analysis for data discrepancies.
• Ensure production datasets are complete, timely, and trustworthy.

Production Ownership

• Drive work from design through deployment.
• Validate outputs prior to release.
• Monitor deployed pipelines and models.
• Proactively address data gaps or inconsistencies.
• Document assumptions, transformations, and dependencies clearly.

BI & Collaboration

• Partner with analytics and business stakeholders to translate requirements into scalable data solutions.
• Support Looker semantic modeling and dashboard reliability.
• Communicate technical tradeoffs clearly and concisely.

The responsibilities listed above may not be all inclusive.

Qualifications

• 3–6 years of experience in data engineering or analytics engineering.
• Advanced SQL proficiency (window functions, performance tuning, complex joins).
• Hands-on experience building DBT models in a production environment.
• Experience working with Snowflake or similar cloud data warehouse.
• Experience building and maintaining ELT pipelines.
• Experience implementing Change Data Capture (CDC).
• Experience integrating and ingesting data from external APIs.
• Demonstrated ability to independently diagnose and resolve pipeline and data quality issues.
• Experience deploying production-ready data assets with minimal oversight.

Preferred Qualifications

• Experience with Git-based workflows and CI/CD (e.g., GitHub Actions, dbt Cloud).
• Experience designing data monitoring frameworks.
• Experience with Looker or similar BI tools.
• Familiarity with orchestration tools.

What We're Looking For

We value engineers who:

• Take full ownership of data systems.
• Think critically about edge cases and failure modes.
• Identify problems before stakeholders do.
• Drive initiatives to production completion.
• Communicate clearly and proactively.
• Understand that reliability is as important as functionality

Operational Details

• Job location is based at Scion headquarters in Chicago, IL
• Working hours are general daytime business hours

Your Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Maternity Leave
• FLSA Status
• Discretionary annual EOY bonus
• Paid Time Off

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

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 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

About the Role

The Challenge

Do you know what it takes to evolve "some dbt models" into a fully governed, well-tagged data platform that every function in the company trusts? Are you ready to take IaC from 60% to 100% coverage while building multi-region resiliency for sensitive financial data?

The Team and Scope

As our Data and Platform Engineering Manager, you'll lead a team of six engineers — three data and three platform — reporting directly to the CTO. You'll steward the full lifecycle from raw ingestion to governed data assets, while growing Caribou's GCP infrastructure toward complete automation and cost efficiency. This role sits at the heart of Caribou's engineering leadership team — a meaningful seat at the table as we scale toward our next stage.

Our Stack and Philosophy

We're on GCP (GKE, Cloud Storage, CloudSQL, BigQuery, Cloud Composer) and use dbt and Pulumi. We care more about your engineering fundamentals and curiosity than your specific history with these tools. If you're experienced in AWS, Snowflake, or Terraform and excited to apply those principles to our stack, we want to talk to you.

Your First 90 Days

Your primary mission will be to lead your data engineers, alongside our analytics and data science teams, in maturing our medallion and marts architecture. We aim to deliver material protection against data evolution for the organization by the second half of 2026.

What You Will Do

• Shape the architectural vision for our data platform, ensuring high-quality, self-service data assets across all business functions
• Lead the SDLC for your team, delivering platform and infrastructure improvements consistently and with clear communication
• Strengthen Caribou's GCP infrastructure by growing IaC coverage, optimizing cloud spend, and building platform resiliency
• Collaborate with Analytics and Product to understand platform needs and translate that context into a prioritized roadmap
• Mentor and coach engineers to deepen their expertise across data modeling, platform engineering, and technical leadership
• Help shape Caribou's engineering culture, contributing a perspective that touches every part of the business

Candidates are welcome to work remotely from the states of AZ, CO, DC, IL, MD, TX, and VA with a preference for the Chicago IL, Denver CO, or Phoenix AZ areas.  Caribou does provide the option to work in-office or hybrid from our Denver, CO or Chandler, AZ offices.  We may consider remote candidates in CA, FL, MA, NY, OR, WA, and WI, subject to additional approval. Eligibility by state is subject to change.  

Please let us know if you need accommodations at any point during the interview process.

What We Look For

• Experience leading engineers who build and mature data platforms — from raw ingestion pipelines through governed assets business teams rely on
• Fluency with the modern data stack: dbt, a cloud warehouse (BigQuery or equivalent), orchestration tooling, and sound data modeling patterns
• Cloud infrastructure fluency — IaC tooling (Terraform or equivalent), cost discipline, and the operational rigor a regulated financial environment demands
• Collaborative leaders who favor context over command and control, measuring success by the growth of those around them
• Curious, life-long learners equally at home in a data modeling discussion and a deep infrastructure review, bringing the same rigor to both.

We know strong candidates rarely check every box, and backgrounds in this space take many shapes — analytics engineers who grew into platform ownership, SREs who moved into data, DevOps practitioners who found their way to EM. If this role excites you, we'd love to hear from you.

Interview Roadmap:

• Recruiter phone interview (30 mins)
• At-home coding assessment (60 mins)
• Hiring Manager video interview (60 mins)
• Final interview loop - (4) one-hour video interviews scheduled across 1-4 business days

How we will take care of you

Everyone at Caribou is a valued team member. Our compensation and benefits package includes: 

• Competitive compensation: $175k - $215k
• Eligible for annual performance based bonus
• Equity options
• 401k savings program
• Generous paid time off including: Flexible Time Off (FTO) for all employees and 100% paid parental leave for all parents.
• Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance.
• Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance.
• Up to $1,000 per year for eligible professional development expenses.

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

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

About Octave

Octave is a modern mental health practice that offers both in-person and virtual therapy. We focus on making high-quality care more accessible and affordable by partnering with insurance providers. Our goal is to support clients and clinicians with a system built on equity, effectiveness, and sustainability.

About the Role

Octave is seeking  to partner with existing group practices in Illinois (Chicagoland area), that want to provide excellent mental health care, in-person. As an Octave partner, your team will join a supportive community of clinicians focused on client-centered, evidence-based therapy. 

At Octave, we take care of all backend operations so your clinicians can focus on providing care. Our team manages credentialing, billing, marketing, technology support, and client referrals. This allows your clinicians to focus primarily on seeing the clients we connect them with and completing session documentation, removing the administrative burden from your group practice.

Your providers will support adult clients managing stress, anxiety, depression, and related concerns. We emphasize evidence based practices such as CBT and DBT with a strong commitment to culturally responsive care. 

What You’ll Do

• Provide therapy to adults dealing with stress, anxiety, depression, and other concerns.
• Use short-term, evidence-based approaches like CBT or DBT.
• Offer culturally responsive care.
• See clients virtually and/or in person (you must have your own office space to hold in-person sessions).

Qualifications for Group Practices

• Must have at least 3 or more fully licensed clinicians who would be joining Octave.
• Required to have your own office space and are willing to provide in-person services (within the market we're hiring in).
• All clinicians must be fully licensed (no associate or intern level providers).
• Licensed in Illinois (LCPC, LMFT, LCSW, PsyD).
• Must be licensed and in good standing with your governing licensing board.
• At least 1 year of post-license experience (2+ preferred).
• Training in therapies such as CBT, DBT, trauma-focused treatments, or similar.
• Certain payor relationships may exclude you from employment.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate information on a laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements

Octave IT supports these minimum system requirements for the most optimized experience using Octave telehealth tools:

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Additionally, Octave IT does not support using iOS, Android, or ChromeOS as your primary device.

Compensation

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

In-Person Rates:
$63-$118/hour for master's level license.
$73-$123/hour for doctoral level license.

Virtual Rates:
$60-$115/hour for master's level license.
$70-$120/hour for doctoral level license.

How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

About the Company:

About the Role:

Octave is hiring Licensed Clinicians to work within an organizational structure to provide high quality behavioral health care to our clients. Octave Clinicians will join a diverse clinical team in providing therapy in a collaborative, client-centered, evolving environment. Octave Clinicians demonstrate strong clinical service thinking, informed by evidence-informed therapies. It is our effort to drive quality access and customize mental health treatment plans and service delivery for our clients. You will treat adult clients with stress, depression, anxiety, or other mental health concerns via video, using short-term, evidence-based therapies. Candidates must be licensed in Illinois at the masters or doctoral level, well-versed in evidence-based therapies, like CBT or DBT, and expert in the delivery of culturally responsive care.

You are a good fit if you are:

• Passionate about expanding access to high-quality mental health care.
• Skilled at providing short-term, evidence-based therapies to a diverse range of adult clients.
• Adept at building and maintaining a strong therapeutic alliance.
• Willing to deliver feedback-informed care using standardized measures.
• Expert at providing culturally responsive and culturally competent care.
• Open to learning from your colleagues and clients.
• Someone who thrives in a culture of thoughtful feedback and transparency.

Qualifications:

• PsyD, LMFT, LCSW, LCPC
• Current License in Illinois.
• Master’s Degree or higher from an accredited school of Social Work, Psychology, Counseling or Marriage, or Family and Child Counseling.
• Must be licensed and in good standing with your governing licensing board.
• Preferred 1 year of related post-license clinical experience required. 
• At least 2 years of experience preferred in one or more of the following areas:
  • CBT for depression or anxiety
  • DBT for emotion dysregulation
  • Unified Protocol for emotional distress
  • CPT or PE for trauma
• Must have your own office space and are willing to provide in-person services in the Chicago area.

Octave's Company Values: 

The below values drive our day-to-day operations.

• We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
• People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
• No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
• Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
• Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
• Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
• There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements: 

• Prolonged periods sitting at a desk and working on a computer. 
• Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet. 
• Must be able to observe and communicate  information on company provided laptop. 
• Move up to 10 pounds on occasion. 
• Must be eligible to work in the United States without sponsorship now or in the future.
• Octave’s policy requires that all clinical sessions be conducted while you are physically located in the United States.

System Requirements: 

• Computers that are Mac OS (Ventura or later) and Windows OS (10/11)
• Computers kept up with the most recent security updates
• An unmanaged device (a device not provided to you by another company/organization)

Compensation: 

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The hourly compensation range for this role is listed below dependent on licensure:

In-Person Rates: 
$63-$118/hour for master's level license.
$73-$123/hour for doctoral level license.

Virtual Rates: 
$60-$115/hour for master's level license.
$70-$120/hour for doctoral level license.

How We Use Technology in Hiring:

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

At the core of Compass we believe in the power of community and connection, which is why we are committed to our group-based programming. As a group therapist, you will spend the majority of your time with our patients facilitating evidenced based groups using modalities like CBT, DBT, and ACT. We are seeking new and experienced clinicians with a passion for delivering dynamic and informative groups for our patients. If you are seeking an opportunity to provide exceptional care, we’d love to have you on our team.   

Our centrally located Chicago office is nestled in the vibrant neighborhood of North Center, not to mention the social events hosted on our fully furnished rooftop! 

What You'll Do: 

• Providing group therapy/ leading skills groups for patients in a safe and therapeutic milieu
• Developing effective therapeutic group relationships that promote positive change in patients
• Utilizing empirically-supported interventions for presenting issues and diagnoses associated with trauma, including ACT, CPT, DBT, motivational interviewing, and psychoeducation skills
• Meeting individually with patients, as needed
• Safety planning with patients, as needed
• Charting progress of patients appropriately
• Collaborating with treatment team and outpatient providers
• Completing/participating in patients’ discharges
• Participating in professional development activities

Who You Are: 

• Hold the following licenses or education: LSW (or LSW eligible), LPC (or LPC eligible), LCSW, or LCPC
• Have experience working with adults in group and individual therapy settings
• Have background and/or training in evidence-based, trauma-focused interventions, including Cognitive Processing Therapy (CPT) and Prolonged Exposure (PE) (*training may be provided, if candidate lacks prior training and experience with these approaches)
• Possess knowledge of CBT, DBT, ACT and group dynamics
• Have previous experience working with patients in crisis as well as those who have experience trauma

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.

You love the story that data can tell. We are looking for an experienced Product Analyst who balances technical excellence with strong product intuition. You’ll be responsible for the full spectrum of data storytelling—from overseeing data ingestion and refining semantic models to providing deep-dive quantitative analysis on feature engagement, adoption funnels, and business impact.

You will deliver insights through concise dashboards, detailed reports, and emerging conversational interfaces. This is a high-impact role where you will partner directly with Product leaders and Engineers to influence the direction of our platform, transforming raw event data into the insights that fuel our next phase of scale.

WHAT YOU’LL DO:

• Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
• Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
• Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
• Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
• Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

WHO YOU ARE:

• Experienced: 5+ years in BI, Data Analysis, and Data Modeling, ideally within a B2B SaaS or high-growth tech environment
• SQL Expert: 5+ years of experience writing complex, performant queries
• Technical: Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
• Visual Storyteller: Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
• Scientifically Minded: BA/BS in Statistics, Math, Economics, Computer Science, or a related technical discipline; firm grasp of advanced statistical techniques
• Curious & Autonomous: A fast learner and self-starter who doesn't wait for a ticket to find an answer

Ideally, you'll have: 

• Modern Data Stack Flow: Experience with dbt, Airflow, or modern cloud warehouses (Snowflake/BigQuery)
• NoSQL Familiarity: Experience querying NoSQL databases like MongoDB or Redis
• AI/LLM Interest: Experience using Claude Code, GitHub Copilot, or other LLM harnesses to accelerate development and insight generation
• Cross-Functional Leadership: A proven track record of working across departments to align data strategy with business needs

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

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

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

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

What's the opportunity? 

As part of the GTM Analytics team, you will be the data partner for Intercom's Mindshare function — the team responsible for building brand awareness, shaping market perception, and creating early engagement with target buyers. This role focuses on the top of the funnel: understanding how brand marketing, executive programs, experimentation, and upper funnel initiatives drive awareness, reach, and engagement before prospects ever enter a sales cycle. You will partner with Brand Marketing, Executive Programs, and GTM leadership to measure what's resonating, design experiments, and surface the insights that inform how Intercom shows up in the market.

What will I be doing? 

• Top of Funnel Insights: Own reporting and analysis for upper funnel programs — measuring reach, awareness, engagement, and early-stage interest across brand marketing, content, and executive outreach initiatives.
• Brand Marketing Measurement: Develop frameworks to assess brand campaign effectiveness — tracking how brand investments translate into audience reach, mindshare, and downstream consideration.
• Executive Programs Analytics: Measure the impact of executive dinners, outreach programs, and high-touch engagement — understanding which accounts are being reached, how they engage, and what signals emerge.
• Experimentation: Design and analyze experiments across Mindshare programs — helping the team test messaging, channels, formats, and targeting to learn what drives awareness and engagement most effectively.
• Audience & Reach Analysis: Analyze who Intercom is reaching across Mindshare initiatives — segmenting by ICP, account tier, persona, and geography to ensure programs connect with the right buyers.
• Cross-Functional Collaboration: Partner with Brand Marketing, Executive Programs, Demand Gen, and Sales to translate qualitative program goals into measurable outcomes and share learnings across teams.

What skills do I need? 

•  5–8 years of experience in analytics, marketing analytics, brand analytics, or a related field
• Strong understanding of top-of-funnel and brand metrics — awareness, reach, engagement, consideration, and audience composition
• Experience designing and analyzing experiments (A/B tests, holdout groups, incrementality measurement)
• Strong SQL skills; experience with data modeling tools (e.g., dbt) is a plus
• Experience with BI and visualization tools (e.g., Tableau, Looker, Streamlit)
• Comfort working with qualitative and quantitative data — not everything at the top of funnel has a clean conversion metric
• Proven ability to partner with marketing and executive stakeholders, framing ambiguous questions into structured analyses
• Clear communication skills — able to translate analytical findings into narratives that inform creative and strategic decision

Benefits 

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and meaningful equity
• Comprehensive medical, dental, and vision coverage
• Regular compensation reviews - great work is rewarded!
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
• Flexible paid time off policy
• Paid Parental Leave Program
• 401k plan & match
• In-office bicycle storage
• Fun events for employees, friends, and family!

The base salary range for candidates within the Greater Chicago Area is $168,100 - $200,810. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).  

#LI-Hybrid

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%

We are seeking a part-time Intake Therapist to help guide our patients in taking their first steps towards healing. If you are passionate about supporting patients through a fundamental part of their personal journey here at Compass, while being an expert on compatible programs and resources, you would be a great addition to our team. 

Our centrally located Chicago office is nestled in the vibrant neighborhood of North Center, not to mention the social events hosted on our fully furnished rooftop!

Schedule: This is a part-time position, Mondays 8am-4pm, Wednesdays 8am-4pm, and Fridays 10am-6pm.

What You'll Do:

• Complete initial intake evaluation to determine diagnosis and appropriateness of program
• Interface with program directors during intake process regarding patient appropriateness for programming
• Work with patients and families regarding appropriate referrals if treatment at Compass Health Center is not indicated during intake
• Screen potential intakes and answer questions from families, providers, and potential patients
• Chart and communicate with our utilization review department regarding initial insurance authorizations
• Facilitate group therapy and family therapy, as needed (e.g., when intake census is lower, intake therapist may be requested to assist with proving coverage leading groups or covering family therapy sessions)
• Participate in professional development activities

Who You Are:

• Are a Psychologist or Master’s level clinician with 1+ years of clinical experience conducting intake assessments and individual therapy
• Hold the following licenses or certifications: LPC, LSW, PhD, PsyD, LCSW, LCPC, or LMFT
• Have knowledge and experience utilizing Cognitive Behavioral Therapy (CBT) and Dialectical Behavior Therapy (DBT), as well as other empirically supported treatments
• Have previous experience with patients in crisis
• Have worked in a PHP/IOP, residential, or inpatient setting

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

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

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

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

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

At the core of Compass we believe in the power of community and connection, which is why we are committed to our group-based programming. As a group therapist, you will spend the majority of your time with our patients facilitating evidenced based groups using modalities like CBT, DBT, and ACT. We are seeking new and experienced clinicians with a passion for delivering dynamic and informative groups for our patients. If you are seeking an opportunity to provide exceptional care, we’d love to have you on our team.

Our centrally located Chicago office is nestled in the vibrant neighborhood of North Center, not to mention the social events hosted on our fully furnished rooftop!       

What You'll Do:

• Facilitating DBT/CBT skill groups
• Engage in the development of new CBT/DBT/ACT skill groups, as needed
• Providing crisis intervention and support, as needed
• Co-facilitating creative expression and other experiential therapeutic groups
• Assisting program director in supporting families through phone coaching and follow-up calls
• Coordinate with treatment team about changes and progress for individual patients
• Providing clinical observations and insights during interdisciplinary meetings
• Providing individual support to patients, as needed
• Providing support to other team members in various treatment groups
• Providing guidance and support for milieu staff during skills and executive functioning therapy activities/instruction
• Participating in discharge planning for patients

Who You Are:

• Have 1+ years post master’s experience
• Possess a core skill set of Cognitive Behavior Therapy (CBT) and Dialectical Behavior Therapy (DBT)
• Hold the following licenses or certifications: LCSW, LCPC, MSW, LPC, MFT, LMFT, LSW, PsyD, or PhD
• Have prior experience working in partial hospitalization or intensive outpatient program
• Have prior experience treating the following:
  • Depression/mood disorders
  • Anxiety Disorders
  • OCD

Qualified applicants should be willing to complete 8 hours of Non-Violent Crisis Prevention and Intervention training. This model fosters prevention of crises from occurring, de-escalation of potential crises, effective management of acute crises, reduction of potential and actual injury to children and employees, and opportunities to reflect on more effective ways to handle stressful situations. Upon completion of the training employees must demonstrate competency as measured by a formal written and performance-based assessments.

Our Family Therapists play a key role in our multi-disciplinary teams and work to ensure synergy across treatment. As a Family Therapist in our OCD program, you’ll conduct family sessions with patients and their loved ones that will aim at providing support, offering education, and promoting collaboration. If your passion is helping those who are working to support our patients, you would be a great addition to our team. 

Our centrally located Chicago office is nestled in the vibrant neighborhood of North Center, not to mention the social events hosted on our fully furnished rooftop! 

What You'll Do:

• Facilitating family sessions to a caseload of assigned adult patients and their loved ones 
• Providing guidance and support to patients and family members to help promote goals and encourage patients progress through the program.
• Providing direction to families about effective ways of supporting patients. Discussion topics and family therapy goals include safety plans, incorporating skill implementation, improving communication, creating contracts.
• Providing loved ones with psychoeducation about substance use
• Provides couples’ therapy for patients and their partners
• Works with various presenting issues including depression, anxiety, psychosis, substance abuse
• Assisting in supporting families through phone coaching and follow-up calls.
• Supporting patients in crisis.
• Coordinating with the treatment team. This involves attending rounds and other program meetings regularly as well as using the electronic systems of communication.
• Communicating with outside providers conducting family therapy for continuity of care.
• Collaborating with the treatment team in assessing the patient’s progress and need for higher level of care, stepdown, or discharge.
• Helping the family to coordinate an effective discharge plan.
• Providing individual support to patients as needed.
• Contributing clinical observations and insights during interdisciplinary meetings.
• Charting progress of patients appropriately in the electronic medical record.
• Participating in program meetings as needed.
• Working on projects focused on program improvement and the overall growth and development of Compass.
• Participating in a weekly family therapy meeting
• Working on projects focused on program improvement and the overall growth and development of Compass

Who You Are: 

• Are a Psychologist or Master’s level therapist (required) 
• Hold one of the following licenses: PhD, PsyD, LCSW, or LCPC (preferred)
• 1+ years clinical work experience post-Master’s (strongly preferred)
• Have knowledge and experience utilizing Cognitive Behavioral Therapy (CBT) and Dialectical Behavior Therapy (DBT), as well as other evidenced-based therapies, ideally in the context of delivering family therapy  
• Have experience with patients in crisis, ideally prior experience working in partial hospitalization, intensive outpatient, inpatient hospital, or residential setting 

At the core of Compass we believe in the power of community and connection, which is why we are committed to our group-based programming. As a group therapist, you will spend the majority of your time with our patients facilitating evidenced based groups using modalities like CBT, DBT, and ACT. We are seeking new and experienced clinicians with a passion for delivering dynamic and informative groups for our patients. If you are seeking an opportunity to provide exceptional care, we’d love to have you on our team.

Our centrally located Chicago office is nestled in the vibrant neighborhood of North Center, not to mention the social events hosted on our fully furnished rooftop!  

What You'll Do: 

• Providing group therapy to patients in a safe and therapeutic milieu 
• Assessing patients on daily basis for safety, ADLs, and mental status 
• Developing effective therapeutic group relationships that promote positive change in patients 
• Utilizing Cognitive Behavioral Therapy and Dialectical Behavioral Therapy to inform facilitation of group therapy sessions 
• Relaying relevant clinical information from group sessions to treatment team during rounds and as needed 
• Providing safety checks with safety plan as needed 
• Developing creative program material and curriculum and adjusting group therapy content, as needed, to fit group needs 
• Organizing and maintaining clinical group material to provide structure to curriculum 
• Tracking frequency of skills taught in program to ensure full breadth of CBT/DBT skills are provided 
• Documenting therapeutic processes, as well as all other relevant clinical information 
• Communicating patient progress, interaction and presentation to clinical staff 
• Completing discharges for patients discharging from the intensive outpatient program 
• Creating and updating treatment plans 
• Participating in professional development activities 

Who You Are: 

• Have one to two years post master’s experience, or a relevant master’s level internship within a PHP/IOP or inpatient setting 
• Possess a core skill set of Cognitive Behavior Therapy (CBT) and Dialectical Behavior Therapy (DBT) 
• Hold the following licenses or certifications: LCSW, LCPC, MSW, LPC, MFT, LMFT, LSW, PsyD, or PhD 
• Have prior experience working in partial hospitalization, intensive outpatient, inpatient hospital, or residential setting

In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Data Product Manager to join our growing Data and Analytics team.

Location - this role is hybrid and can be based out of our downtown Chicago or Elmhurst office

About the role:

The Data Product Manager is responsible for owning the prioritization and iterative delivery of data products within DoubleGood's DNA (Data & Analytics) group. This role bridges the gap between business strategy and technical execution — translating high-level priorities into well-scoped, actionable requirements while driving an iterative approach to data product development that maximizes impact and keeps teams focused on what matters most.

Responsibilities

• Own the DNA product backlog — maintain and continuously prioritize a backlog of data and analytical initiatives based on business impact, stakeholder needs, and technical feasibility; serve as the single point of accountability for what gets worked on and when.
• Apply iterative product thinking — champion a crawl-walk-run approach to data product delivery, breaking work into phased increments that deliver value early and reduce risk.
• Translate strategy into requirements — partner with business-side stakeholders (Marketing, Finance, Operations, etc.) to gather and document detailed business logic, data definitions, and acceptance criteria for analytics and BI engineering teams.
• Drive stakeholder alignment — act as the primary liaison between business partners and technical teams, ensuring priorities are clearly communicated, well-understood, and consistently reflected in execution.
• Define and track success metrics — establish measurable outcomes for each data product (adoption, usage, business impact) and hold the team accountable to them.
• Manage UAT and validation — own business-facing acceptance testing, ensuring delivered data products meet stakeholder expectations and can be trusted by the business.
• Identify and communicate tradeoffs — surface scope, dependency, and prioritization tradeoffs proactively, enabling leadership to make faster, better-informed decisions.

Experience & Skills we value:

Required:

• 8+ years in a product management, business analysis, or data product role — ideally in a data-intensive environment
• Demonstrated experience owning and managing a product backlog with competing priorities across multiple stakeholders
• Strong understanding of data modeling concepts, BI tools, and modern data stacks (e.g., Snowflake, dbt, Looker or similar)
• Proven ability to translate complex business problems into clear, actionable technical requirements
• Experience applying agile/iterative delivery methodologies (sprint planning, acceptance criteria, incremental releases)
• Excellent communication and stakeholder management skills — comfortable working across technical and non-technical audiences

Nice to have and/or you’ll learn: 

• Experience in a high-growth or startup environment where priorities shift frequently and speed of delivery matters
• Familiarity with data governance principles and documentation best practices
• Background in finance, operations, or a domain-heavy vertical where deep business logic expertise is required
• Experience working with analytics engineering teams (dbt, semantic layer, OBTs)
• Exposure to ERP systems (e.g., D365) or manufacturing/operations data

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $130,000 - $165,000 annually
• Target Annual Bonus: 15% of base salary

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs.

Analytics Engineer   

We are seeking an experienced Analytics Engineer to join our Data Solutions team in North America. This role will combine technical expertise with strategic vision to drive the adoption and optimization of Sigma across our client base and internal teams.  

Ideal candidates will be able to:  

• Lead the development and implementation of visualizations that communicate complex data analyses to non-technical audiences showcasing best practices and innovative approaches using tools such as  

• Establish and manage the Business Intelligence Center of Excellence, creating standards, guidelines, and training materials  

• Collaborate with cross-functional teams to design and implement data solutions that align with client business objectives  

• Manage the analytics engineering and visualization lifecycle, including research, proof of concepts, architecture, design, development, testing, and maintenance  

• Generate visualizations that communicate complex data analyses to non-technical audiences  

• Partner with client stakeholders to foster the adoption of best data management practices  

• Mentor and develop junior team members  

• Support sales cycles by leading scoping discussions and building proof of concept solutions  

• Stay current with Business Intelligence tools and visualizations updates and industry trends, sharing knowledge across the organization  

Qualifications:  

• 5+ years of experience in data analytics, business intelligence, or related field  

• 2+ years of experience in Sigma Computing with advanced proficiency in other tools such as PowerBI, Looker, Omni etc  

• Strong SQL skills and experience with cloud data platforms (e.g., Snowflake, Azure, AWS)  

• Experience with modern data stack tools such as dbt, Fivetran, Matillion, or similar  

• Familiarity with Python and other programming languages used in data analysis  

• Understanding of data architecture, data warehousing, and ETL/ELT processes  

• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences  

• Experience in consulting or client-facing roles  

• Track record of successful project delivery using Agile methodologies  

Personal Qualities:  

• Passionate about data and its potential to drive business value  

• Strong leadership and mentoring abilities  

• Proactive problem-solver with a results-oriented mindset  

• Adaptable and eager to learn new technologies and methodologies  

• Excellent interpersonal skills with a people-first mentality  

Join us in revolutionizing how businesses leverage Sigma and analytics to drive success!  

Job Description

Waltz Health is looking for a skilled Engineering Lead to drive the architecture, development, and delivery of core healthcare technology solutions across the organization. This role involves leading teams, mentoring engineers, and leveraging Microsoft Azure to accelerate our platform roadmap and improve healthcare outcomes through technology.

You will be reporting to the Sr. Director, Enterprise Architecture & Data.  You will be responsible for:

• Own architecture and delivery of marketplace platform applications across Microsoft Azure, including App Services, Azure Functions, AKS, and supporting platform services.
• Manage and mentor engineering teams; set goals, coach career growth, and foster a high-performance, inclusive culture.
• Partner with Product, Architecture, and Business stakeholders to define API-first roadmaps and translate requirements into executable plans.
• Oversee SDLC from design to deployment and support, review customer feedback and operational metrics for continuous improvement.
• Collaborate with clients on custom requirements and integration architectures that are simple, secure, and cost-effective.
• Design, develop, and maintain CRM/workflow automation solutions; enforce data integrity, security, and compliance.
• Lead API-led integrations using an enterprise integration platform (iPaaS); define integration patterns and SLAs.
• Architect, implement, and maintain scalable, secure, and highly available Azure cloud infrastructure and platform services, including CI/CD pipelines, infrastructure-as-code (e.g., Terraform), compute (AKS), storage, data services, and integration capabilities.
• Architect and implement microservices using Spring Framework and Azure-native services.
• Establish standards for REST/GraphQL API design, versioning, documentation, and governance (policies, rate limiting, security, observability) using tools such as Azure API Management and Azure Monitor/Application Insights.
• Work with Product to define objectives, success metrics, and release plans for platform features; drive agile, iterative delivery.
• Mentor and guide engineering teams, establish best practices, and foster a technology-agnostic mindset.
• Deliver simple, cost-effective solutions for complex integration and business challenges.

In the first 90 days, you will:

• Ramp up on the Waltz platform, enterprise application landscape, integration architecture, and Microsoft Azure cloud infrastructure.
• Establish API-first practices and governance; prioritize integration backlogs.
• Deliver initial microservices and integration use-cases focused on data ingestion, transformation, pricing, and platform interoperability.

You will be successful because you:

• Clear communicator, strong collaborator across levels.
• Enthusiastic, adaptable, and outcome-oriented in a fast-moving environment.
• Passion for improving healthcare through technology.

You have these qualifications and skills:

• Bachelors/Degree in Computer Science or other technology field.
• Deep hands-on experience building scalable, secure applications on Microsoft Azure using .NET (C#, ASP.NET) and/or Java (Spring Framework).
• Microservices using Spring Framework and an enterprise integration platform (API-led connectivity, reusable assets, policy management).
• API-first designs and API Governance (standards, security, versioning, documentation, monitoring).
• Product development (backlog shaping, MVP definition, outcome-based metrics).
• Integration architecture across CRM/enterprise applications, cloud services, and data platforms; experience delivering simple, cost-effective solutions for complex problems.
• Technical leadership and mentoring teams; proven experience leading engineers and establishing best practices.
• Technology agnostic mindset—able to select the right tool for the problem and balance build vs. buy decisions.
• 5+ years in software engineering, 2+ years in technical leadership/people management.
• Bachelors in CS/IT/Engineering; Master’s preferred.
• Experience with CRM development/customization plus integration experience (API design, OAS/OpenAPI, connectors, workflows).
• Proficient in one or more modern programming languages; strong experience with React or Angular preferred.
• DevOps/CI-CD and infrastructure-as-code experience (e.g., Terraform); hands-on with data integration and ETL/ELT pipelines (e.g., Azure Data Factory, dbt, Talend).
• Deep SQL knowledge; experience with relational databases (e.g., Postgres) and cloud data warehouses (e.g., Snowflake).
• Experience building and operating cloud applications; exposure to Azure Cognitive Services, Azure OpenAI, and/or TensorFlow is a plus.

RAPP Chicago is looking for a Data Engineer to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets

YOUR ROLE:

We are looking for a Data Engineer who is eager to learn and grow while contributing to the development of scalable, cloud‑native data pipelines and platforms. The ideal candidate has foundational knowledge of Python and an interest in building data workflows using modern technologies such as Apache Airflow, AWS Lambda, DynamoDB, and dbt. You should have a strong curiosity for how data systems operate, a willingness to learn best practices in data engineering, and a motivation to support advanced analytics, as you gain hands‑on experience.

YOUR RESPONSIBILITIES:

• Data Pipeline Development
• Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
• Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
• Implement and optimize dbt models for analytics and transformations.
• Data Architecture & Storage
• Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
• Ensure high availability, scalability, and performance of data systems.
• Integrate structured, semi-structured, and unstructured data sources.
• Automation & Orchestration
• Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
• Automate infrastructure deployment and CI/CD pipelines for data services.
• Quality & Governance
• Implement data validation, testing, and monitoring frameworks.
• Ensure compliance with security, privacy, and governance standards.

REQUIRED SKILLS

• 1–3 years of experience in data engineering, software engineering, or a related role.
• Proficiency in Python for data engineering and automation.
• Familiarity with Apache Airflow for workflow orchestration.
• Basic understanding of AWS Lambda and serverless design patterns.
• Exposure to DynamoDB (schema design and performance considerations).
• Knowledge of dbt for data transformation and analytics modeling.
• Experience working in cloud environments (AWS preferred).
• Understanding of CI/CD workflows, Git, and DevOps practices.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with other AWS services (S3, Glue, Redshift, Kinesis).
• Familiarity with data warehouse and data lake architectures.
• Exposure to real-time streaming and event-driven data pipelines.
• Knowledge of containerization (Docker, Kubernetes).

Soft Skills

• Exceptional attention to detail and organizational skills.
• Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
• Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
• Proactive problem-solver who can identify issues and suggest improvements.
• Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $81,000 - $97,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

RAPP Chicago is looking for a Senior Data Engineer to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets.

YOUR ROLE:

We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows.

YOUR RESPONSIBILITIES:

• Data Pipeline Development
  • Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow.
  • Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing.
  • Implement and optimize dbt models for analytics and transformations.
• Data Architecture & Storage
  • Design schemas and manage data in DynamoDB and other cloud-native storage solutions.
  • Ensure high availability, scalability, and performance of data systems.
  • Integrate structured, semi-structured, and unstructured data sources.
• Automation & Orchestration
  • Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines.
  • Automate infrastructure deployment and CI/CD pipelines for data services.
• Quality & Governance
  • Implement data validation, testing, and monitoring frameworks.
  • Ensure compliance with security, privacy, and governance standards.
• Collaboration & Leadership
  • Partner with analytics, product, and engineering teams to deliver reliable datasets.
  • Mentor junior engineers and enforce best practices in data engineering.
  • Actively contribute to improving team efficiency, scalability, and standards.

REQUIRED SKILLS:

• 5–8+ years of experience in data engineering, software engineering, or a related role.
• Strong expertise in Python for data engineering and automation.
• Hands-on experience with Apache Airflow for orchestration.
• Proficiency with AWS Lambda and serverless design patterns.
• Solid experience with DynamoDB (schema design, performance tuning, scaling).
• Strong knowledge of dbt for transformation and analytics modeling.
• Experience with cloud environments (AWS preferred).
• Familiarity with CI/CD workflows, Git, and DevOps practices.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with other AWS services (S3, Glue, Redshift, Kinesis).
• Familiarity with data warehouse and data lake architectures.
• Exposure to real-time streaming and event-driven data pipelines.
• Knowledge of containerization (Docker, Kubernetes).

Soft Skills

• Exceptional attention to detail and organizational skills.
• Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users.
• Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams.
• Proactive problem-solver who can identify issues and suggest improvements.
• Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $90,000 - $99,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

Why project44?  

At project44, we believe in better.  

We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world.  With our Decision Intelligence Platform, Movement, we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.  Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.  If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. 

We’re hiring a technical, hands-on Product Manager to scale ML-powered products (ETA, risk, anomalies/exceptions, network insights) while building Data Science as a Platform—reusable capabilities that accelerate model development, deployment, monitoring, and governance across multiple product areas. 

You’ll partner daily with Data Science, ML Engineering, Data Engineering, Platform Engineering, and Product teams to ship production ML and establish repeatable, measurable ML delivery. 

Key Accountabilities

• Own the roadmap for applied ML capabilities beyond ETA (risk scoring, exception prediction, anomaly detection, carrier/network performance insights), from discovery to launch and iteration. 
• Define and deliver a DS/ML platform: feature management, experimentation, model registry, deployment patterns, monitoring/observability, governance, and self-serve tooling. 
• Translate customer workflows into ML problem statements: labels/targets, constraints, SLAs, interpretability, and “do no harm” launch gates. 
• Drive evaluation and experimentation: offline metrics/back testing, online testing (A/B, holdouts), and measurable business impact. 
• Partner with engineering on batch + real-time inference architectures, streaming/event-time feature needs, and reliability (SLOs, incident playbooks). 
• Establish and track platform success metrics: time-to-first-model, deployment frequency, reuse rate, model performance stability, incident rate, and ROI.

Minimum Qualifications

• 5–8+ years Product Management experience with 3–4+ years focused on DS/ML-driven products (or equivalent) 
• Demonstrated ability shipping end-to-end ML systems to production and iterating based on outcomes 
• Strong technical fluency across the ML lifecycle (data → features → training → serving → monitoring → retraining) 
• Ability to operate between Sr and Principal: sets direction, aligns stakeholders, and drives execution across multiple teams 
• Excellent written communication (PRDs, decision docs) and crisp cross-functional leadership 
• In-office Commitment: Employees are expected to contribute to our collaborative culture by working in the office Four days weekly

Technical skills (experience with many of the following) 

• SQL (strong) and working knowledge of Python / notebooks / data analysis workflows 
• Data platforms: Snowflake / BigQuery / Redshift / Databricks (Delta Lake) 
• Orchestration & ETL: Airflow / Dagster / Prefect, dbt, Spark 
• Streaming/event systems: Kafka / Kinesis / Flink 
• MLOps: experiment tracking/model registry (MLflow / Weights & Biases), pipelines (Kubeflow / SageMaker Pipelines / TFX / Flyte/ Tensor flow), serving (SageMaker / Vertex AI / Databricks Model Serving / KServe / BentoML) 
• Feature stores: Feast / Tecton /  SageMaker Feature Store 
• Monitoring/observability: Arize / WhyLabs / Evidently + Prometheus/Grafana/Datadog 
• Platform fundamentals: Docker/Kubernetes, API design (REST/gRPC), SLAs/SLOs, security & PII basics 
• LLMs/GenAI (RAG, embeddings, vector DBs like Pinecone/Weaviate/Milvus), evaluation + guardrails 

Preferred 

• Experience in logistics / supply chain / transportation or other high-volume operational domains 
• Familiarity with geospatial/event-time data, carrier APIs/EDI, entity resolution, and enterprise exception workflows 
• Platform product experience with internal “developer” customers and adoption metrics 

Diversity & Inclusion

We're designing the future of how the world moves and is connected through trade and global supply chains. We can only deliver a truly world-class product and experience if our teams are as diverse and unique communities we are building for. So it's up to us to create a company where anyone can bring their authentic self to work everyday. We're constantly working to improve, and we accept our responsibility to elevate the voices left in the margins. It's on every one of us.

Our focus on inclusion manifests in the way we hire, the customers we serve, and the regions we prioritize. We're building a company that every one of us at project44 is proud to work for: a company that celebrates you for being you.

We pride ourselves on celebrating everyone — project44 is an equal opportunity employer actively working on creating a diverse and inclusive work environment where underrepresented groups can thrive. If you share our values and our passion for helping the way the world moves, we’d love to review your application!

For any needed accommodations during the hiring process, please email recruiting@project44.com. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.

In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a VP of Data Management to join our growing team.

Location- This hybrid role is based in our downtown Chicago office and will require periodic visits to our Elmhurst location.

About the role:

The VP of Data will lead the enterprise data organization to deliver trusted, product-oriented data assets that power analytics, visibility, and decision-making across Double Good—enabling the business to grow faster with confidence and exploration in its data.

Organizational Scope

This role serves every function across Double Good that relies on data to operate and make decisions. The VP of Data is accountable for ensuring that marketing, sales, operations, finance, customer success, Product and Technology, and executive leadership all have access to reliable, timely, and well-governed data products tailored to their needs.

Service Scope

The data organization under this role operates as an internal product team, delivering a portfolio of data products and platform services that span the full data lifecycle:

• Ingestion Services: Managed pipelines that reliably move data from application databases, third-party SaaS platforms, and event streams into the data warehouse.
• Data Warehouse & Modeling Services: Curated, tested, and documented dimensional models that organize raw data into business-ready structures.
• Semantic Layer & Metrics Services: Governed metric definitions, LookML models, and BI frameworks that ensure a single source of truth across all reporting.
• Platform Services: A reliable, performant, and cost-efficient data platform (Snowflake, dbt, orchestration, observability) available to all data consumers.
• Data Governance Services: Standards, policies, cataloging, lineage, and access controls that protect data quality and regulatory compliance.

Role Scope

This is a senior leadership position that carries both strategic and operational accountability:

• Manages a team of 4 - 8 direct reports spanning analytics engineering, platform engineering, semantic layer development, and data product management, with potential to grow as the organization scales.
• Owns the data platform budget, including cloud warehouse costs, tooling licenses, and contractor spend.
• Has decision-making authority over data architecture, tooling selection, data modeling standards, and team structure within the data organization.
• Operates as a peer to other senior technology leaders and partners directly with business unit heads to align data investments with functional priorities.
• Reports to the CTO and participates in technology leadership forums, contributing to company-wide technology strategy and investment decisions.

Responsibilities:

Data Strategy & Product Management

• Define and execute the company data strategy, positioning data as a product portfolio that serves internal consumers across marketing, sales, operations, finance, technology and product, and executive leadership.
• Own the data product roadmap, prioritizing purpose-built data products (e.g., Unit Economics, Fundraiser Performance, Marketing Performance, Seller Engagement) over source-system-oriented models.
• Establish product management practices within the data organization, including stakeholder discovery, requirements gathering, SLA definitions, and iterative delivery.
• Partner with the CTO and executive team to align data investments with business objectives and growth strategy.

Data Ingestion & Integration

• Oversee all data ingestion pipelines, ensuring reliable extraction from source systems (application databases, third-party SaaS platforms, event streams) into the data warehouse.
• Evaluate and manage CDC streaming and ETL/ELT tooling, making build-vs-buy decisions that balance cost, reliability, and latency requirements.
• Establish data contracts and integration standards with application engineering teams to ensure upstream changes don’t break downstream analytics.

Data Organization & Architecture

• Own the enterprise data warehouse architecture, including dimensional modeling (star schema), staging layers, business logic centralization, and consumption layer design.
• Drive the evolution from domain-centric source models to curated, purpose-built analytical data products with clear ownership and documentation.
• Establish and enforce data governance standards including data quality, lineage, cataloging, access controls, and compliance (SOC 2, privacy regulations).
• Define naming conventions, transformation standards, and testing frameworks to ensure consistency and reliability across the data platform.

Platform Engineering

• Manage and optimize the modern data stack, including cloud data warehouse (Snowflake), transformation tooling (dbt), orchestration, and data observability.
• Ensure platform reliability, performance, and cost efficiency as data volumes and user demands scale.
• Evaluate and implement new technologies that improve data freshness, pipeline observability, and developer experience for the data team.
• Partner with infrastructure and security teams to maintain SOC 2 compliance and data protection standards across all data systems.

Presentation & Semantic Layer Engineering

• Own the semantic layer and BI platform strategy, ensuring business users have access to consistent, governed metrics and dimensions across all reporting surfaces.
• Lead the design and engineering of LookML models, Explores, and dashboards (or equivalent BI tooling) that deliver self-service analytics capabilities to the business.
• Establish a metrics framework that serves as the single source of truth for key business measures, eliminating conflicting definitions across teams.
• Drive adoption of data products across the organization through training, documentation, and stakeholder enablement.

Team Leadership & Organizational Development

• Build, lead, and develop a high-performing data team spanning analytics engineering, platform engineering, semantic layer development, and data product management.
• Attract and retain top data talent, fostering a culture of ownership, craftsmanship, and business partnership.
• Establish team structures, career ladders, and operating rhythms that support both individual growth and organizational scalability.
• Manage vendor relationships and budgets for the data platform portfolio.

Experience & Skills we value:

• 10+ years of progressive experience in data engineering, analytics engineering, or data platform leadership, with at least 5 years in a senior management or VP-level role.
• Deep expertise in modern data stack technologies: cloud data warehouses (Snowflake preferred), transformation frameworks (dbt preferred), and BI/semantic layer platforms (Looker/LookML preferred).
• Track record of building and leading data teams that operate with a product mindset—delivering governed, documented, consumer-oriented data products.
• Strong understanding of dimensional modeling, data warehouse architecture patterns (star schema, OBT), and data governance frameworks.
• Experience with AWS cloud infrastructure, data pipeline orchestration, and CDC/streaming technologies.
• Demonstrated ability to partner cross-functionally with business stakeholders and translate business needs into scalable data solutions.
• Experience operating in a SOC 2 compliant environment and understanding of data security, privacy, and access control best practices.
• Excellent communication skills with the ability to present data strategy and trade-offs to executive leadership.

Nice to have and/or you’ll learn: 

• Experience in e-commerce, marketplace, or platform business models where an understanding of multi-sided user journeys (organizers, sellers, buyers) is valuable.
• Familiarity with product management methodologies applied to internal data products and platforms.
• Experience managing data platform costs and optimizing cloud spend.
• Background in building analytics solutions that support both operational reporting and strategic decision-making.

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $180,000 - $250,000 annually
• Target Annual Bonus: 25% of base salary

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs.

How you’ll make an impact: 

We’re looking for a Data Engineering Manager to lead a team of talented data engineers who are passionate about building resilient, scalable data infrastructure that supports some of the nation’s top healthcare providers. 

In this role, you won’t just be writing code, you’ll also be setting the strategy, coaching your team, and helping to shape how we transform data into insights that help our customers fuel their missions. You'll help us scale our data platform, integrate emerging technologies, and collaborate across departments to ensure our data engineering efforts are aligned, efficient, and forward-looking. 

If you're energized by mentoring engineers, navigating technical complexity, and improving processes while keeping your hands in the data, we’d love to meet you. 

What you’ll do: 

• Lead and grow a team of data engineers to support their development, help remove blockers, and foster a collaborative, inclusive team culture. 

• Oversee architecture and implementation of our cloud-based data infrastructure (Snowflake, AWS, etc.) to support both operational data delivery and producing consumable data product. 

• Partner cross-functionally with Data Science, Product, and Engineering teams to develop high-impact data products and pipelines. 

• Drive data engineering best practices across the org—code quality, documentation, testing, observability, and reproducibility. 

• Stay close to the work by reviewing code, guiding architectural decisions, and occasionally rolling up your sleeves to code when needed. 

• Champion platform scalability by designing systems that handle large volumes of structured and unstructured data with resilience and speed. 

• Understand business and operational problems that new tools (Dagster, dbt, etc.) and technology that would improve automation, performance, and data engineering workflows. 

• Ensure data reliability and performance by monitoring data pipelines, addressing data quality issues, and driving continuous improvement initiatives. 

• Mentor team members and foster technical growth across the group through thoughtful feedback, knowledge sharing, and career coaching. 

• Collaborate on strategic planning with leadership—aligning data engineering goals with business objectives. 

• Cross team collaboration to share ideas and best practices across teams  

What we’re looking for: 

• 5+ years of experience in data or software engineering, including at least 1–2 years in a people management or team lead role. 

• Strong proficiency in SQL and Python—you know when to optimize a query and when to refactor a script. 

• Experience designing and supporting modern cloud data platforms (Snowflake, AWS, etc.). 

• Deep understanding of ETL architecture, data modeling, and distributed systems. 

• Hands-on experience with tools like Dagster, dbt, or similar orchestration/modeling frameworks. 

• Familiarity with CI/CD pipelines, infrastructure-as-code, and modern DevOps practices. 

• Excellent communication skills—able to bridge technical and non-technical audiences, and to advocate effectively for your team. 

• Comfort working in fast-paced, agile environments where priorities may shift and growth is constant. 

• Bonus points for experience in healthcare or finance domains, or exposure to machine learning workflows. 

Estimated Salary Range: $131,000 - $164,000

Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.