Senior Data Engineer - AI-Powered Data Platform Architect

Accolade; Seattle (WA); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work option

Office in Seattle (optional)

On-call rotation

Job summary

Transcarent is seeking a Senior Data Engineer to architect and build data pipelines powering business analytics. You will collaborate with engineering, analytics, and stakeholders to deliver a cloud-native platform that is reliable, scalable, and AI-enabled.

In the first 6–12 months you will own core pipelines, contribute to platform modernization, and drive AI/ML opportunities, mentoring engineers and setting data quality standards across teams.

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 data processing
• Hands-on Databricks and AWS data services experience
• Proven track record in large-scale data warehousing and ETL/ELT pipelines
• Experience with modern orchestration frameworks such as Airflow
• Strong data modeling and dimensional modeling knowledge
• Interest or experience applying AI/ML to data engineering
• Experience in Agile environments with CI/CD
• Excellent communication to explain tradeoffs to engineers and stakeholders
• Independent work style in fast-paced setting

Responsibilities

• Architect, build, and maintain enterprise-scale data pipelines with high reliability
• Own and evolve core components of a cloud-native data platform (Databricks/AWS)
• Design data integration solutions across internal/third-party systems
• Apply AI/ML, including LLM-based agents, to solve data engineering problems
• Build and optimize data models across AWS and Databricks
• Collaborate with stakeholders to translate business needs into scalable data solutions
• Implement data quality controls and observability across pipelines
• Diagnose and resolve production data issues with minimal oversight
• Mentor engineers to raise code quality and architecture standards
• Research emerging tools/techniques and recommend adoption

Skills

Strategic thinking

Architectural thinking

Cross-functional collab

Problem solving

Communication

Data-driven decisions

AI in data eng

Adaptability

Mentorship

Technical leadership

Education

BS/MS in CS/Data Science/related

Tools

Databricks

AWS

Airflow

dbt

Job description

Transcarent is seeking a Senior Data Engineer to architect and build data pipelines powering business analytics. You will collaborate with engineering, analytics, and stakeholders to deliver a cloud-native platform that is reliable, scalable, and AI-enabled.

In the first 6–12 months you will own core pipelines, contribute to platform modernization, and drive AI/ML opportunities, mentoring engineers and setting data quality standards across teams.