Senior Data Engineer

Transcarent; Polska; Hybrid; PLN 551,000 - 748,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) with company match

Paid time off and holidays

Life Insurance and Disability

Job summary

Transcarent is seeking a Senior Data Engineer to architect and build enterprise-scale data pipelines powering member analytics. You will partner with engineering, analytics, and business stakeholders to modernize a cloud-native data platform, leveraging Databricks and AWS, and pushing AI-powered automation.

In 6–12 months, take ownership of core pipelines, contribute to platform modernization, and pursue AI/ML opportunities to solve real data problems.

Qualifications

• BS or MS in Computer Science, Data Science, or related field (or equivalent practical experience).
• 5+ years of professional data engineering experience with leadership.
• Expert-level Python and SQL for enterprise-scale processing and query optimization.
• Hands-on Databricks and AWS data services experience (S3, Redshift, RDS, Glue, Lambda).
• Proven track record designing large-scale data warehousing and ETL/ELT pipelines.
• Experience with Airflow and modern orchestration frameworks.
• Interest or experience applying AI/ML to data engineering problems.

Responsibilities

• Architect, build, and maintain enterprise-scale data pipelines with high reliability and performance.
• Own core components of a cloud-native data platform on Databricks and AWS.
• Design and implement data integration across internal and third-party systems; ensure data quality end-to-end.
• Apply AI/ML, including LLM-based agents, to automate data engineering tasks and unlock analytics capabilities.
• Build and optimize data models across AWS and Databricks environments.
• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Impose data quality controls and observability across the pipeline lifecycle.
• Diagnose and resolve production data issues; mentor engineers on code quality and architecture.
• Research and evaluate new tools, advising on adoption where impactful.

Skills

Python

SQL

AI/ML experimentation

CI/CD practices

Cross-functional collaboration

Architectural thinking

Communication

Education

BS or MS in Computer Science or related field

Tools

Databricks

AWS

Airflow

Job description

Remote- Seattle, Washington, United States

Job Description

The Senior Data Engineer is responsible for architecting and building the data pipelines and platforms that power Transcarent's business and member analytics. This individual will partner closely with engineering, analytics, and business stakeholders to drive a modern, cloud - native data platform that is reliable, scalable, and increasingly powered by AI - driven automation. Success in this role will be measured by the reliability and performance of the data platform, measurable progress on platform modernization initiatives, and the delivery of AI - powered tools that reduce manual effort and unlock new insights for the business.

In the first 6 - 12 months, success looks like:

Taking ownership of core data pipelines with demonstrated improvements in reliability and data quality

Contributing meaningfully to ongoing data platform modernization efforts

Identifying and driving at least one opportunity to apply AI/ML to a real data engineering or business problem

Becoming a trusted technical partner to cross - functional stakeholders and a resource other engineers turn to for architectural guidance

Core Competencies

Strategic and architectural thinking

Cross - functional collaboration

Problem - solving and independent decision - making

Communication and technical influence

Ownership and accountability

Innovation - particularly applying AI to solve data engineering problems

Adaptability and resilience in a fast - changing environment

Mentorship and technical leadership

What You'll Do

Architect, build, and maintain enterprise - scale data pipelines that process large volumes of data with high reliability and performance

Own and evolve core components of our cloud - native data platform, built on modern tools such as Databricks and AWS

Design and implement data integration solutions across internal and third - party systems, ensuring data quality and consistency end to end

Apply AI/ML - including LLM - based agents and automation - to solve data engineering problems, reduce manual toil, and unlock new analytics capabilities

Build and optimize data models across our AWS and Databricks environments

Partner with cross - functional stakeholders to translate business requirements into scalable data solutions

Implement and enforce data quality controls and observability practices across the pipeline lifecycle

Diagnose and resolve complex production data issues with minimal oversight

Mentor other engineers on the team, raising the technical bar for code quality, architecture, and operational excellence

Research and evaluate emerging tools and techniques (AI, data platform, orchestration) and recommend adoption where it drives impact

Other duties as assigned

What We're Looking For / What You Need

Required Qualifications

BS or MS in Computer Science, Data Science, or related field (or equivalent practical experience)

5+ years of professional data engineering experience, with demonstrated technical leadership

Expert - level proficiency in Python and SQL, including experience building enterprise - scale data processing applications and optimizing complex queries

Advanced hands - on experience with Databricks (or similar platforms) and AWS data services (e.g., S3, Redshift, RDS, Glue, Lambda)

Proven track record designing and implementing large - scale data warehousing solutions and complex ETL/ELT pipelines

Experience with modern orchestration frameworks such as Airflow

Demonstrated interest or experience applying AI/ML to data engineering problems (automation, agents, anomaly detection, or similar)

Experience working in Agile environments with CI/CD practices

Excellent written and verbal communication skills; ability to explain technical tradeoffs to both engineers and business stakeholders

Comfort operating independently in a fast - paced, evolving environment

Preferred Qualifications

Experience with dbt or data observability/quality tooling

Experience with customer engagement or communications platforms

Experience in healthcare, benefits, or health tech

Experience building or integrating LLM - powered agents or AI - driven tooling into production data systems

Experience leading migrations of legacy data infrastructure to modern cloud - native platforms

Experience mentoring or informally leading other engineers

Additional Notes

Team: Data Engineering team, responsible for the company's data platform and ML/AI initiatives

Work location: Remote, with an optional office in Seattle (team is based in Seattle)

On - call: shares in team on - call rotation for pipeline/production support

Who We Are

Transcarent is the One Place for Health and Care, bringing medical, pharmacy, and point solutions together with the WayFinding experience, the first and only generative AI - powered health and care platform for health consumers.

Our WayFinding experience, paired with transparent and consumer - driven pharmacy care, 2nd.MD expert medical opinions, and virtual primary care, works seamlessly with comprehensive Care Experiences - Cancer Care, Surgery Care, and Weight Health - to support people with all of their health needs, simple or serious. More than 1,700 employers and health plans rely on us to provide information, guidance, and care, empowering health consumers with more choice, an experience they love, access to higher - quality care, and lower costs for 21 million Members. For more information, visit transcarent.com, and follow us on LinkedIn.

At Transcarent , our values guide everything we do:

People First - We prioritize our Members , clients, and each other in every decision

Care - Every decision starts with improving health and care for our Members

Resilience - We push boundaries and take the uncharted path to change an industry

Results - We take ownership, solve with speed, and deliver for our people and each other

Humble and Human - We lead with humility, bring fun to tough moments, and go further together

Total Rewards

Individual compensation packages are based on a few different factors unique to each candidate, including primary work location and an evaluation of a candidate's skills, experience, market demands, and internal equity.

Salary is just one component of Transcarent's total package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock options.

Our benefits and perks programs include, but are not limited to:

Competitive medical, dental, and vision coverage

Competitive 401(k) Plan with a generous company match

Flexible Time Off/Paid Time Off, 13 paid holidays

Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance

Mental Health and Wellness benefits

Transcarent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out!

Research shows that candidates from underrepresented backgrounds often don't apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren't looking for someone who checks each box on a page; we're looking for active learners and people who care about disrupting the current health and care with their unique experiences.

Job Snapshot

Department

Location

Location Remote- Seattle, Washington, United States