As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

Forthea is seeking a Senior Software Developer to join our team and help build and evolve our proprietary marketing technology platform, and internal tools. In close partnership with our analysts, account teams, and clients. You will engage across the full software development lifecycle, focusing on creating scalable solutions that deliver data-driven insights for our team and enterprise clients. 

This role based in Houston, Texas with a hybrid schedule. 

Key Responsibilities

• Design and develop robust, scalable backend services using Python and Node.js, primarily data analytics apps and dashboards 
• Design, build and manage Microsoft SQL Server and PostgreSQL databases that support operational and analytics workloads 
• Build responsive, intuitive user interfaces using React.js/Next.js, HTML, and CSS.Also, build and maintaindashboards in PowerBI/PowerApps. 
• Build and maintain Azure-based and multi‑cloud data pipelines and integrations. 
• Leverage cloud platform services in Azure (and sometimes GCP and AWS) for infrastructure and data storage. 
• Implement scalable APIs, authentication, RBAC, and secure multi-tenant architecture. 
• Implement AI and ML models in collaboration with data science. 
• Participateand lead code reviews, architectural discussions, and agile workflows. 
• Improve performance, reliability, testing, and code quality across the stack. 
• Collaborate with internal stakeholders to translate business and analytics needs into production-ready software. 

Qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent professional experience). 
• 7-12+ years of experience developing production software and architecting scalable systems.
• Experience with Azure and Microsoft SQL Server.
• Strong skills in SQL, Python, JavaScript/TypeScript, React/Next.js, Docker 
• Experience building 1-2 full‑stack enterprise applications similar to: multi‑tenant analytics apps/dashboards, unified data warehouse + pipelines, business workflow / planning / automation tools
• Forward-deployed engineering experience – comfort embedding with non-technical stakeholders, translating ambiguous business problems into working software, and iterating quickly with users in the loop. Equally at home in a stakeholder meeting and a code review. 
• Proven experience building API integrations, data pipelines and managing production-scale constraints. 
• Strong experience with modern frontend frameworks (React.js required) 
• Proven experience in AI coding, automation & code optimization techniques. 

Nice to Have

• Marketing analytics, digital marketing or ad tech background
• Experience with Google Ads and Google Analytics 4 APIs
• Experience with PowerBI, NinjaCator other BI software
• Experience with AI/LLM model deployment and monitoring 
• Familiarity with dbt, Airflow/Prefect/Dagster, Terraform/Bicep 

Location: Austin, Texas 

About the Role

As a Solutions Architect (SA), your role is to help prospects understand the value that dbt Cloud can bring to their organization. You’ll lead technical discussions with prospective customers, uncover their data challenges, and demonstrate how dbt Cloud can meet their needs through live demos and technical workshops.

Internally, you’ll contribute to building and refining our processes and playbooks, while acting as the voice of the customer to ensure we continue developing products that solve real problems and delight our users.

This role is based in Austin, with an expectation of being in the office two days per week.

What You’ll Do

• Spend the majority of your time on pre-sales opportunities to understand customer use cases and identify the value dbt Cloud can bring to their organization
• Consult with potential customers to uncover their data challenges and highlight how dbt Cloud can alleviate pain points and support their goals
• Own the demonstration of technical and business impact by delivering tailored demos of dbt Cloud and providing expert guidance
• Collaborate closely with Account Executives, building strong, trust-based relationships and offering strategic input throughout the deal process
• Maintain ongoing relationships with technical stakeholders within your accounts
• Partner with internal teams to improve how we work together, represent the voice of the customer in product discussions, and contribute to cross-functional initiatives
• Participate in our knowledge-sharing loop by helping improve team processes, refining assets, and enabling others through collaboration
• Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources

What You’ll Need

• 4+ years of experience as a data practitioner or consultant in data operations or analytics
• Strong technical foundation, with a solid understanding of modern data warehousing architectures, the modern data stack, and proficiency in SQL
• Prior experience with dbt is preferred; bonus points for dbt certification
• Experience working asynchronously as part of a partially remote, distributed team
• High degree of comfort presenting to diverse stakeholders or audiences, ideally in an externally facing role
• Ability to operate effectively in ambiguous, fast-paced environments and think on your feet during customer conversations
• Desire to be a strong team player—both within the SA team as we evolve our ways of working, and in daily collaboration with Account Executives as part of a deal team
• Openness to travel; we value the power of in-person relationship building, both internally and externally, and expect willingness to travel to events as needed

What Will Make You Stand Out

• Basic python competency and advanced SQL knowledge
• Proven experience in a pre-sales tech role
• Experience with traditional ETL tooling

Remote Hiring Process

• Interview with a Talent Acquisition Partner
• Hiring Manager Interview
• Technical Screen
• Team Interviews with a demo

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
  • Health & Wellness
  • Home Office Setup
  • Cell Phone & Internet
  • Learning & Development
  • Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. 

Location: Austin, Texas (Hybrid)

About the Role

Your role as a Customer Solutions Architect is to help current customers gain the most value from their dbt Cloud deployment, in partnership with the Sales Director and Solutions Architect on the account. To achieve this, you will monitor an existing book of business, lead technical discussions with customers, uncover new data challenges, and showcase how dbt Cloud can address their needs through live demos and technical workshops. Your end goal will be to drive customer satisfaction, resulting in renewal and expansion among our existing customers.

Internally, you will help our team by acting as the voice of the customer to ensure that we continue to build product that solves real problems and delights our customers, and be an integral part of the early Customer Solutions Architect team as we continue to build out our processes and playbooks. This person will be based in Austin and will be in office 2 days per week. 

What You'll Do

• Manage a portfolio of Commercial or Enterprise customers and proactively monitor the health of your accounts, product adoption, and utilization across your book of business to identify opportunities for potential expansion and churn or contraction risks
• Improve customer loyalty and retention through building and maintaining strong relationships with key technical stakeholders within customer accounts, and understanding their analytics needs and use cases to determine where dbt Cloud can help them achieve their goals
• Increase the value customers obtain from dbt Cloud through educating your customer base on new products and features as they are launched and on existing products and features that they may not be making use of
• Collaborate closely with Sales Directors and Solutions Architects on your accounts, building strong trust-based relationships and providing strategic input on the customer lifecycle and renewals processes
• Be the voice of the customer in product discussions, work with the team to improve the way we work together, and participate in other cross-functional activities
• Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team
• Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content

What You'll Need

• 2+ years of experience in a post-sales role, such as a technical account manager or CSE
• A solid technical background, with a firm understanding of modern data warehousing architectures, the analytics stack, and SQL proficiency
• High degree of comfort presenting to various stakeholders or audience, ideally with experience in an externally facing role
• Ability to operate in an ambiguous and fast-paced environment and think on your feet when engaged in customer conversations
• Desire to be part of a team, both as an active member of the Customer Solutions Architect team as we continue to evolve and improve how we work, and in your day-to-day work with Sales Directors and Solutions Architects
• Openness to travel. While we work in a remote first company, we value the power of in-person relationship building, both internally and externally, so a willingness to travel to external and internal events is required

What Will Make You Stand Out

• Bonus points for dbt certification, prior dbt experience will be very helpful in this role
• Basic python competency and advanced SQL knowledge
• Have experience with ancillary tools, managing data infrastructure, APIs, etc

Remote Hiring Process 

1. Interview with Talent Acquisition Partner
2. Interview with Hiring Manager
3. Technical Screen
4. Team Interviews with a role-play

Location: Austin, TX (3 days in office preferred)

About the Role

We are looking for a Customer Sales Director to focus on an at-scale strategy to support, retain, and grow a mix of our Commercial and Enterprise customer base. This role is a hybrid-based role in Austin, Texas.

What You'll Do 

• Build a strategic plan to drive expansion in a portfolio of Commercial and Enterprise accounts
• Manage multiple sales cycles and customer campaigns targeting Analytics Engineering, Data Platform, and Data Governance personas.
• Protect renewals by monitoring account signals, deepening executive alignment, and helping customers realize consistent value.

What You’ll Need

• Have 4+ years of experience in SaaS sales or account management, with a proven track record of exceeding targets.
• Have experience working in a fast-paced, high-growth environment, adapting quickly to constant change.
• Possesses strong consultative selling skills, engaging effectively with both technical and business audiences.
• Are proactive and organized, capable of independently managing a diverse book of business.

What Will Make You Stand Out

• You have prior experience in analytics, ETL, BI, or open-source software.
• You are familiar with dbt (core or Cloud) and the modern data stack, including platforms like Snowflake, BigQuery, Redshift, or Databricks.
• You have experience with consumption and/or usage-based pricing structures.
• You have experience with the MEDD(P)ICC sales methodology / Command of the Message

Remote Hiring Process

• Interview with a Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews; Account Manager & Customer Solutions Architect Manager
• Account Management Activity with Sales Leadership

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
• Health & Wellness
• Home Office Setup
• Cell Phone & Internet
• Learning & Development
• Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

#LI-LA1 #LI-Remote #LI-CA1

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
• 2+ years in building robust data models
• 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

• Experience using Python or R
• 2+ years experience in healthcare or insurance industry
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
• Prior experience in Member Relations or Customer Success environments.
• Building data models in dbt
• Building reports in Looker Studio Pro
• Git workflows

At Realtor.com, we have the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.

The People team is building a HR Performance & Goal Management (PM/GM) data product. This tool will support ~1,500 employees in managing Performance Measures (PMs) and General Measures (GMs) across mid-year and annual review cycles, aligned to our Real Success Framework (RSF).

We are seeking a Analytics Engineer to own the full data layer of this initiative — from schema design and RBAC architecture to pipeline management and compliance. This is a primary, ongoing responsibility during the build phase (6–9 months at ~75–100% allocation) and at steady-state (∼25–50% allocation post-launch), working in close partnership with the App Developer and People & Talent stakeholders.

Top Reasons to Apply:

1. High Visibility & Executive Impact
   You aren’t just building a dashboard; you are building the system of record for how 1,500+ employees (including our Executive Leadership Team) define success. The "Performance Hub" is a high-stakes, highly visible product where your architecture directly influences performance reviews, calibration, and compensation across the entire organization.
2. Architect the Future (From POC to Metric Store)
   We’ve proven the concept; now we need you to build the legacy. You have a long runway and the creative freedom to evolve a Proof-of-Concept into a robust, automated Metric Store. Beyond simple performance measures, you’ll have the autonomy to integrate proxy metrics, automated forecasting, and attrition models—effectively defining the "North Star" for our workforce analytics.
3. Absolute Ownership of a Modern Stack
   If you thrive in an environment of high ownership and low bureaucracy, this is your playground. You will own the full data layer—from Snowflake RBAC and schema design to dbt modeling and Airflow orchestration. You’ll be partnering with App Developers and People stakeholders to deliver a production-grade data product using the best tools in the industry.

What You'll Do

• Design and implement RBAC architecture in Snowflake supporting five role tiers (Employee, People Leader, HRBP, Admin, ELT), including row-level security policies scoped to org hierarchy and review cycle.
• Build and maintain data models for PM/GM tables, calibration history, audit logs, and the 4-point metric schema that underpins goal tracking and rating workflows.
• Manage the nightly UKG (UltiPro) data feed, handling org changes, leaves of absence (LOAs), and terminations to ensure the application reflects current workforce state.
• Integrate revenue goal data from existing Snowflake sources, enabling real-time goal sync for sales and quota-based populations.
• Build and maintain a comprehensive audit trail for all goal and rating changes, supporting manager workflows, HRBP review, and executive reporting.
• Implement GDPR/CCPA data anonymization logic, including right-to-be-forgotten workflows and compliant data handling for sensitive performance records.
• Enforce Snowflake access policy governance, ensuring that data exposure is strictly scoped to authorized roles and that access controls are auditable.
• Optimize Snowflake queries and warehouse configurations to support responsive HRBP and ELT dashboards, particularly during peak review seasons.
• Maintain a sandbox schema for safe development and testing of new features without impacting production data.
• Collaborate closely with the App Developer to expose clean, well-documented data interfaces that power goal submission, approval, calibration, and reporting workflows.
• Partner with Legal and IT to confirm Snowflake qualifies as the system of record for performance data and that all data governance requirements are met.

What You'll Bring

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field, plus 2+ years of relevant experience; or a Master’s degree with 6+ months of relevant experience in a corresponding domain.
• Strong SQL skills including query optimization, indexing, and building production tables and views in Snowflake; experience with Snowflake-specific features such as dynamic data masking, row access policies, and time travel.
• Hands-on experience designing and implementing RBAC in Snowflake, including role hierarchies, row-level security, and access policy governance.
• Proven ability to build and maintain data pipelines and ETL/ELT jobs; experience with tools such as dbt, Airflow, Fivetran, or custom Python-based pipelines.
• Experience integrating with HRIS platforms (e.g., UKG/UltiPro, Workday, or similar) via API or SFTP feeds to sync organizational data.
• Familiarity with data governance and compliance requirements, including GDPR/CCPA data anonymization, audit logging, and right-to-be-forgotten patterns.
• Strong data modeling skills; ability to design normalized schemas appropriate for goal-tracking, rating workflows, and calibration history.
• Knowledge of software engineering best practices for analytics: version control (Git), code review, testing, and documentation.
• Interpersonal and communication skills; ability to collaborate effectively with non-technical HR and People Operations stakeholders to translate business requirements into data assets.

Nice To Have:

• Experience supporting HR, performance management, or workforce analytics data products at a similar scale (~1,000–2,000 employees).
• Familiarity with Streamlit in Snowflake or similar lightweight app frameworks, enabling effective collaboration with the App Developer on data interface design.
• Experience with BI tools such as Tableau, Looker, or equivalent that may be used for supplemental HRBP or ELT reporting.
• Exposure to Snowflake cost governance and compute management, including virtual warehouse sizing and credit optimization for seasonal workloads.
• Prior work in a fast-moving tech or media company with iterative, agile delivery and cross-functional stakeholder engagement.

How we Reward you:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

The Ascend Story 

Founded to transform mental health care access, Ascend Healthcare delivers integrated psychiatric and behavioral health solutions with a commitment to equity, compassion, and operational excellence. We partner directly with health centers to build fully integrated, sustainable behavioral health programs—bringing deep clinical expertise, operational support, and long-term stability. 

Our work environment fosters: 

• Collaboration and teamwork 
• Patient-First Mindset 
• Work from home opportunities 
• Career Growth and Professional Development Training 

Why Ascend? 

You’ll be joining a team delivering innovative, compassionate care to communities that need it most. At Ascend, your work drives real impact—and your career grows alongside it. We believe in a “no wrong door” treatment model that finds ways to say “yes” to any patient referral rather than a multitude of exclusionary criteria found elsewhere. 

Position Summary:

We are looking for a Bilingual Licensed Therapist or Counselor (LPC, LCSW, LMFT) to provide counseling and therapy treatment to our patients. Services will be provided remotely, through telemedicine, to patients of our Community Health Center partners throughout Arizona. We are a "say yes" first clinical provider and look to treat patients where they are and guide them along their journey to recovery and stabilization.

*Clinician must be active or willing to obtain an Arizona License in addition to holding an active license in state of primary residence

*Clinician must be bilingual (English/ Spanish)

Key Areas of Ownership:

• Provides patient care modalities of evidence-based practices to best meet the clinical needs of the patients. Examples include; CBT, DBT, Solution-Focused Therapy, Psychoeducation (Symptom Recognition), Trauma Therapy, Addiction Therapy, Acceptance and Commitment Therapy, Bereavement/Grief Counseling, etc.
• These specific treatment modalities will be implemented in both the individual and group therapy setting, with a focus of engaging patients in their treatment plan.
• Review and signature of patient clinical Psychosocial assessment, diagnosis, treatment plan, and consents as needed for the patient in a timely manner. Maintenance of the clinic record, including documentation of activities performed as part of the service delivery process.
• Documents all services and patient activities appropriately. Ensures documentation complies with best clinical practices, contracts, regulatory and other legal
• Conducts crisis intervention for the individual and family based on the individual’s safety plan.
• Participate in regular case planning with the involved Multidisciplinary Team as new information is gathered to ensure the most clinically appropriate patient disposition.
• Participate in individual and group supervision as required. Participate in ongoing education, including in-services, training, and other activities to maintain and improve competency. Demonstrate competency through post-testing, skill observation, and performance as assessed by direct supervisor
• Provides case management services to promote recovery and community reintegration as needed.
• Performs other duties as assigned

Qualifications:  

• Active, unrestricted mental health license in state of primary residence and state of medical services being provided (Arizona)
• Comfortable working in a remote environment 
• Bilingual English/Spanish (Required) 
• Patient-first mindset 

Physical Requirements: This is a fully remote position but may require in-person attendance as company needs arise. Please be aware the below physical requirements should be considered prior to applying to the position: 

• Prolonged Sitting: Ability to sit for extended periods during working hours. 
• Manual Dexterity: Good hand-eye coordination and manual dexterity for using a computer keyboard, mouse, and other office equipment. 
• Visual Requirements: Adequate vision for reading computer screens and documents. 
• Communication: Clear verbal and written communication skills for virtual meetings and correspondence. 
• Hearing: Sufficient hearing ability for participating in phone calls or virtual meetings. 
• Work Environment: Access to a quiet, dedicated workspace free from distractions with reliable internet connectivity.  

• 401(k)
• 401(k) matching
• Dental Insurance
• 5, 8-hour or 4, 10-hour shifts
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Vision insurance

Job Summary:

Natera is seeking an experienced Senior Software Engineer with modern data engineering and AI-enabled development skills with deep scientific R&D background to design and build data products that directly support genomics research and translational science. This role is intended for someone who already understands how research organizations operate, how genomic data flows from experiment to insight, and how to engineer data systems that accelerate discovery without compromising rigor or compliance.

The ideal candidate combines strong data engineering skills with a computer science background and hands-on experience in bioinformatics, genomics, or computational biology, and the ability to work independently in an R&D environment. You will also be comfortable moving quickly to prototype novel data products while ensuring solutions evolve into robust, compliant, and scalable platforms. You will bring an internalized sense of what “good” looks like for research data: reproducibility, traceability, performance, and scientific usability.

Key Responsibilities

• Design, build, and maintain the data products that support R&D, analytics, Lab and scientific workflows, from initial design through deployment and iterations 

• Build and maintain data pipelines for large and complex datasets, from raw inputs through derived and analysis-ready datasets. 

• Apply domain knowledge in genetics and bioinformatics to design data models, schemas, and abstractions that align with real research patterns and downstream analysis needs.

• Design and enforce de-identification and privacy-preserving architectures that meet HIPAA and related regulatory requirements while remaining usable for research.

• Design scalable data models to power analytics, reporting, and downstream applications. Maintain high standards of data quality, accuracy, lineage, and observability across data pipelines.

• Partner closely with R&D scientists, bioinformatics teams, and software engineers to translate research needs into well-structured, reusable data assets.

• Optimize storage, retrieval, and lifecycle management for large scientific files (E.g. sequencing data, intermediate artifacts, derived datasets).

• Drive rapid prototyping efforts to support exploratory, proof-of-concepts, and early-stage initiatives, while guiding the transition to production-grade systems.

• Implement best practices for data quality, validation, lineage, observability, and reproducibility to enable a trusted 360° view.

• Collaborate with product managers and domain experts to translate requirements into technical solutions

• Establish golden paths (templates, examples, docs) and contribute to shared data product catalogs, patterns, and best practices used by other engineers

• Provide technical guidance and mentorship to mid-level engineers

Required Qualifications

• Bachelor’s or Master’s degree in computer science or bioinformatics with healthcare or biotech data domain experience preferred

• 8+ years of experience in data engineering, designing and maintaining data pipelines and cloud data architectures (e.g, Snowflake, AWS, etc)

• Strong background in bioinformatics, genomics, or computational biology (required).  Understands key genomics and bioinformatics data formats, such as BAM, VCF, FASTQ, common compression techniques for these file formats, and their storage, delivery, and management needs.

• Demonstrated experience supporting scientific R&D, Lab workflows and research teams with production-grade data systems. 

• Strong proficiency in Python, SQL, and distributed processing frameworks (Spark or equivalent)

• Experience with modern orchestration tools (Airflow, dbt, Dagster)

• Experience leveraging AI-assisted development tools (e.g., LLM copilots) to accelerate data solution development

• Familiarity with building data products that support analytics, ML, or AI applications

• Strong data modeling expertise (dimensional, normalized, healthcare-specific schemas)

• Experience implementing CI/CD for data pipelines and IaC (Terraform, CloudFormation); Knowledge of data observability, testing, and data quality frameworks

• Demonstrated ownership of production-grade data systems and end-to-end pipeline lifecycle

• Ability to evaluate emerging data and AI technologies and recommend scalable solutions

• Exposure to vector databases, embeddings, semantic search, or RAG-based architectures is a plus

• Proven ability to operate effectively in fast-paced environments, balancing speed, rigor, and compliance

• Strong written and verbal communication skills with ability to collaborate across engineering, analytics, and business stakeholders

• Experience working with healthcare, life sciences, or other highly regulated data, including hands-on HIPAA compliance.
  
  #LI-DNI

At http://Realtor.com , we are building products that empower millions of homebuyers, renters, and real estate professionals to navigate the journey of home ownership with confidence. Because data is our most strategic asset, we are seeking a Senior Data Governance Engineer to help operationalize our Data Governance mission, guiding our business-led data strategy. In this role, you will be the bridge between our high-level mission and technical execution, charged with developing and delivering enterprise wide data governance solutions.

As a senior engineer in our Data Governance Function, you will help scale our cross-functional governance programs, which help guide our data strategy. You will partner with engineering, product, and business leaders to deliver upon our governance needs, develop data guard rails, and guide the enterprise to data self service.

This role requires an experienced developer who thrives in ambiguity, has in-depth knowledge of data governance, quality and management, and is adept at driving data clarity. You should have a strong perspective on how to foster effective collaboration, manage competing priorities, and deliver results in a dynamic environment. You should be comfortable with tracking and leveraging metrics to support data health and performance, and advocating for continuous process improvement.

What you’ll do:

• You will help operationalize the data governance program by designing and developing tools to automate data discovery, metadata extraction and data lineage tracking
• Partner with Data Architects to design "governance-by-design" schemas 
• Build integrations between our data lake and governance catalog
• You will operate and maintain the technical features of the data catalog used to define data, document its metadata, and collect lineage. 
• You will ensure data is fit for purpose by following the defined data quality framework to manage the development, delivery and maintenance of of data quality rules, both at rest and in motion
• You will drive development efforts to implement enterprise-wide data governance initiatives such as a Master Data Management solution, Data Quality dashboards and a Data Marketplace.
• Deliver on data privacy initiative through the implementation and automation of data masking, encryption and regulatory compliance workflows

What you’ll bring:

• 8+ years of experience working as a data developer with at least 4 years specifically focused on Data Governance
• Bachelor’s degree or equivalent experience
• Strong understanding of data governance, data quality, and master data management best practices including experience implementing metadata management, data catalogs, lineage and data quality tools
• Deep expertise in SQL and Python and working knowledge of modern data stack components (dbt, Airflow, Kafka, or Spark).
• Experience implementing AI/ML initiatives in data pipelines to drive data governance
• Proficiency working in cloud environments (e.g. Snowflake)
• Strong analytical and problem-solving abilities, with a proactive approach to identifying and addressing challenges.
• Experience working with data catalog (e.g. Collibra, Alation, Azure, etc.) and data quality tools (e.g. Informatica, Ab Intio, etc.)
• Experience developing BI dashboards utilizing tools such as Tableau, Looker, QLik, etc.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Certification in Data Management (e.g. DAMA, CDMP)
• Experience with cloud platforms (e.g. Snowflake)
• Working knowledge of Acryl Data Catalog
• Knowledge of privacy regulations such as CCPA, GDPR, etc.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

The Work You’ll Do:
You’ll design, build, and operate backend services and data integrations that power personalized marketing experiences across CRM and Digital Marketing channels at Realtor.com®. You’ll work across the marketing technology stack—connecting internal data platforms to tools that activate, measure, and optimize campaigns. Your work will ensure the reliability, observability, and scalability of data pipelines that enable millions of users to receive relevant messages at the right time.

• Design, build, and operate backend services and data integrations that are secure, observable, and cost-efficient, using modern cloud patterns on AWS.
• Collaborate with data platform teams on the Snowflake and Kafka data platform (streaming and batch) to enable reliable data collection, processing, and access for near real-time marketing and analytics use cases.
• Contribute to streaming pipelines and consumers (e.g., Kafka/MSK) and batch workflows backed by Snowflake/DBT/Airflow/Hightouch, with a focus on correctness, performance,
  and operational excellence.
• Implement and extend CI/CD pipelines on the company’s deployment platform (CircleCI GitHub + Argo), driving paved-path adoption, test automation, and deployment safety.
• Help instrument, validate, and monitor clickstream and service events in partnership with data reliability teams, improving event health and taxonomy alignment across systems.
• Strengthen observability for services and pipelines (metrics, logging, tracing) to reduce mean time to detection/recovery and enable effective on-call rotations.
• Partner with cross-functional stakeholders (marketing, engineering, product, analytics, privacy) to define requirements, de-risk designs, and ship incremental value.
• Write clear technical documentation, contribute to runbooks, and participate in design and code reviews to raise engineering quality and knowledge sharing.
• Champion reliability and governance: adopt data lineage, ownership, and catalog tooling; incorporate validation and guardrails that prevent bad data from propagating.

What You’ll Bring:

• 5+ years of experience building backend systems and/or data-intensive services in production, with ownership across design, implementation, and operations.
• Bachelor’s degree or equivalent experience.. 
• Proficiency in one or more of: TypeScript/Node.js, Python, Java/Kotlin; strong foundation in writing maintainable, testable code.
• Solid SQL skills and experience with Snowflake or comparable cloud data warehouses; familiarity with data modeling and working with structured/semi-structured data.
• Experience with event-driven systems and streaming technologies (e.g., Kafka/MSK) and building resilient consumers/producers
• Hands-on with AWS services (e.g., Lambda, ECS/EKS, S3, IAM, MSK, API Gateway) and Infrastructure-as-Code (Terraform or CloudFormation).
• CI/CD expertise (preferably on CircleCI + GitHub + Argo) and a testing mindset across unit, integration, contract, and data validations.
• Strong observability practices (logs, metrics, traces) using tools like New Relic and Splunk; effective incident response and post-incident improvement.
• Excellent collaboration and communication skills; ability to partner with product, analytics, and other engineering teams to deliver outcomes.

Nice To Have Experience:

• Experience with CRM and digital marketing platforms (Braze, Cordial, Google Ads, Meta Ads, etc)
• Experience with the Snowflake data platform and its streaming/batch components; DBT and Airflow familiarity.
• Background in clickstream data reliability: event taxonomy, validation tooling, event health monitoring, and developer workflows that “shift-left” data quality.
• Familiarity with tracking and SDK ecosystems (e.g., Tracking SDK and “Direct Send”), experimentation, and downstream analytics integrations.
• Knowledge of data governance practices and lineage/discoverability platforms like the Data Catalog; exposure to privacy and compliance workflows (e.g., CCPA/CPRA).
• Experience operating services on Kubernetes (EKS), GitOps/ArgoCD, and adopting paved-path CI/CD patterns on CircleCI.

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Data Analyst, Data Intelligence 

Austin, TX or Grand Rapids, MI (Onsite 4 days per week) 

Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. 

About Acrisure   

Acrisure Enterprise Technology Group is where human expertise meets advanced technology.  

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more.    

In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.  

The Role 

The Data Intelligence team is chartered with advancing data driven decision making across Acrisure. As a member of the Data Intelligence Team, you will be responsible for leading the requirements gathering, design, implementation and delivery of reporting and analytics capabilities for Finance and Accounting Business Functions. You will be comfortable working across a wide variety of people including senior executive leadership, analysts, program management, and technical team members.  

Here are some of the ways in which you’ll achieve impact: 

• Drive the development of efficient and reliable reporting and analytics capabilities with a customer-first mindset. 

• Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement and self-service. 

• Create presentation/visualization of data to see beyond the numbers while transforming raw data into actionable insights and recommendations.  

• Identify, adopt, and evangelize data analysis best practices and technical standards. 

• Advocate for and identify creative implementations to optimize business impact. 

• Empower others to grow understanding of the complexity of data by creatively scaling how teams’ knowledge is shared and applied 

• Help identify better practices, tools, and relevant trends that can improve data quality across the business. 

You may be a fit for this role if you have: 

• 5+ years of industry experience as a Data Analyst or Business Intelligence Professional serving the finance and accounting business functions. 

• A passion for building remarkable things with data. 

• Demonstrated ability to be a data storyteller and can go deep in building data visualizations and reporting using third party tools (Tableau and PowerBI). 

• Strong understanding of data models, structures, theories, principles, and practices. 

• Proficiency working with stakeholders to gather requirements, understand process and translate them to data and create/evaluate associated KPIs. 

• Experience with SQL, Python, PowerBI, Tableau, dbt, BigQuery, Git, Palantir and data modeling 

• Experience with agile project execution and business tools such as Jira & ServiceNow  

• Have excellent communication and leadership skills and can unpack complex problems in order to find solutions.  

• Ability to understand the business purpose or problem behind a request. 

• Positive & creative problem solving in the face of data challenges. 

• Flexibility to successfully multi-task in a fast-paced environment with a positive attitude. 

• Strong teamwork, solution-centric, and customer-service-oriented attitude.  

• Possess empathy, kindness towards others, a positive attitude, and self-awareness. 

• Have a Bachelor’s degree in Computer Science, Math, Statistics, Business, or related field, or equivalent experience. 

#LI-austin  

#LI-grandrapids 

#LI-onsite  

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.   

Benefits and Perks:  

• Competitive compensation  

• Generous vacation policy, paid holidays, and paid sick time   

• Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)  

• Company-paid Short-Term and Long-Term Disability Insurance  

• Company-paid Group Life insurance  

• Company-paid Employee Assistance Program (EAP) and Calm App subscription  

• Employee-paid Pet Insurance and optional supplemental insurance coverage  

• Vested 401(k) with company match and financial wellness programs  

• Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options  

• Paid maternity leave, paid paternity leave, and fertility benefits  

• Career growth and learning opportunities  

• …and so much more!  

Please note: This list is not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Offerings may vary based on subsidiary entity or geographic location.  

Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.  

Acrisure is an Equal Opportunity Employer.  

At Acrisure, we firmly believe that an inclusive workforce drives innovation, creativity, and ultimately, our collective success.    

We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. Acrisure also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination.   

Acrisure also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws. If you need to inquire about an accommodation, or need assistance with completing the application process, please email leaves@acrisure.com.   

California residents can learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available at www.Acrisure.com/privacy/caapplicant.  

Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.  

Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice.  

Welcome, your new opportunity awaits you.  

There are amazing opportunities for talented people in every part of our business. We invite you to find your next great opportunity with us.  

Executive Search Firms & Staffing Agencies  

To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure's property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure's Human Resources Talent Department.  

#LI-onsite  

#BI-onsite 

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company.

You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. 

This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON’s headquarters in Austin, TX and reports to the Senior Director of Operations.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds).
• Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry’s ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements – for instance, adding new attributes or new object types as we launch new programs.
• Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems.
• Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses.
• Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM).
• Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency.
• Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry’s capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern.
  
  
• Mentorship & Best Practices: As a senior member, guide junior data engineers in writing clean, maintainable pipeline code. Establish best practices for code versioning, documentation of data transformations, and general data engineering standards within the team.

Minimum Qualifications

• 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design.
• Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data).
• Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors).
• Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly.
• Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently.
• Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries.
• Attention to detail and commitment to data quality – recognizes the downstream impact of data issues and proactively puts checks in place.
• Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience).

Preferred Skills & Experience

• Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful.
• Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools.
• Experience with business intelligence tools or practices – able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry’s Contour/Quiver dashboards).
• Knowledge of DevOps and CI/CD for data pipelines – using version control (Git), and deploying code in a controlled, automated way.
• Master’s degree in Data Engineering or related field, or relevant certifications (e.g. Google Professional Data Engineer, AWS Data Analytics Specialty) indicating a commitment to ongoing learning in the field.