The Data And AI Podcast

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Senior Data Platform Eng

Location: Remote (Must be US based)

Pay: $175k – $200k Base + equity

No Sponsorship Offered

Overview:

This fast‑growing health‑tech company is building a connected data ecosystem that supports better outcomes across complex care environments. Data sits at the core of the product, enabling real‑time visibility, longitudinal insights, and smarter clinical and operational decision‑making. The team is investing heavily in its data platform to scale alongside rapid customer and product growth.
The Senior Data Platform Engineer will take ownership of the company’s data infrastructure, ensuring it is scalable, secure, cost‑efficient, and built to support a wide range of data consumers across engineering, analytics, and machine learning.

Responsibilities:

• Own, maintain, and evolve the core data platform built on modern lakehouse and cloud technologies
• Partner closely with engineering, data science, ML, and analytics teams to understand current and future data needs
• Design and implement live and streaming data ingestion layers (e.g. Kafka, Kinesis or similar)
• Define standards for storage, compute, orchestration, data management, and provenance
• Monitor infrastructure performance, reliability, and cost, forecasting future requirements
• Implement and manage role‑based access controls and data governance practices
• Build reusable tooling and frameworks for data consumers, including data quality monitoring and backfilling capabilities

Must‑Have Qualifications:

• 5+ years’ experience in data infrastructure, data platform engineering, or data engineering
• Hands‑on experience with Databricks in a production environment
• Strong knowledge of modern data warehouse and lakehouse architectures
• Proven experience building and supporting scalable ETL / data pipelines
• Experience with access control, data governance, security, and observability
• Comfortable working in fast‑paced, high‑growth environments

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytic Engineer (Healthcare Data)

Remote – U.S. Based | No Sponsorship

A rapidly growing, tech-enabled healthcare organization is building out its next-generation analytics platform-and is hiring a Senior Analytic Engineer to play a foundational role in that evolution.

This organization operates at the intersection of integrated care delivery and modern data infrastructure, providing coordinated medical and behavioral health services to patients in long-term care settings. Backed by significant investment and scaling through acquisition, the company is making a major push into data, AI, and advanced analytics to improve patient outcomes and operational efficiency.

If you’re someone who wants to own core data models, shape how the business understands its data, and enable AI-driven analytics, this is a high-impact opportunity.

The Role

You’ll sit at the center of the data ecosystem-owning the semantic layer and core data models that power BI, self-service analytics, and emerging AI/LLM-driven tools.

This is not a dash-boarding role. It’s a highly technical, business-facing position focused on transforming raw healthcare data into clean, scalable, and trusted data models that drive decision-making.

You’ll bridge:

• Data engineering
• Business context
• Analytic consumption (BI + AI tools)

What You’ll Do

• Design, build, and maintain scalable data models using dbt and SQL
• Own and define the semantic / metrics layer across the organization
• Translate complex business questions into structured, reusable data definitions
• Enable self-service analytics and natural language querying via AI tools
• Standardize and govern key metrics across clinical, operational, and financial domains
• Partner closely with stakeholders, BI teams, and data engineers to ensure data is accurate, accessible, and actionable
• Structure data to support modern analytics tools (e.g., semantic layer platforms, AI-driven BI)

What You Bring

• 6-8+ years of experience across analytics engineering, BI, or data engineering
• Deep experience working with healthcare data systems, including:
  • EHR / EMR platforms
  • Medical claims data
  • Interoperability standards like HL7 and FHIR
• Strong understanding of:
  • Clinical vs. transactional healthcare data
  • Claims and payer workflows
  • HIPAA-compliant data handling and governance
• Advanced SQL skills
• Hands-on experience with dbt (macros, snapshots, exposures, metrics layer)
• Proven expertise in:
  • Data modeling
  • Semantic layer design
  • Embedding business logic into analytics systems

Nice to Have

• Experience with modern data platforms like Snowflake or Databricks
• Familiarity with semantic layer tools (LookML, AtScale, Cube, etc.)
• Exposure to AI-enabled BI tools (ThoughtSpot, Sigma, etc.)
• Experience with data observability or orchestration tools

Why This Role

• Greenfield impact: Help define how analytic is built and scaled
• AI-forward: Work at the forefront of agentic and LLM-driven analytics
• Mission-driven: Directly impact care for underserved and high-risk populations
• High growth: Join a rapidly scaling healthcare platform investing heavily in data

What Success Looks Like

• A clean, scalable semantic layer that supports both humans and AI
• Consistent, trusted metrics used across the business
• Seamless self-service analytics for non-technical users
• A strong foundation for AI-driven decision-making

Who You Are

You’re a hybrid thinker-equally comfortable with data modeling and business context. You’re curious, forward-thinking, and excited about where analytic is headed (AI, semantic layers, self-service). Most importantly, you want your work to have real-world impact, not just sit in dashboards.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Engineer

Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.

THE COMPANY:

This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.

THE ROLE:

You will take ownership of the full data engineering lifecycle.
Key responsibilities include:

• Owning end‑to‑end data engineering projects across the platform
• Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
• Developing robust data models aligned with industry best practices
• Ensuring high standards of data quality through testing, monitoring and alerting
• Driving engineering best practices, contributing to code reviews and mentoring other engineers

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python and advanced SQL
• Building and maintaining production‑grade data pipelines
• Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
• Data modelling methodologies (Kimball, Data Vault, etc.)
• Engineering best practices including testing, version control and clean code
• AWS experience

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here