Senior Data Engineer, Data Platform

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer, Data Platform in United States.

This role offers the opportunity to shape and scale a modern data platform within a fast-paced, data-driven environment in the healthcare technology space.

You will design and build core platform services that power large-scale data ecosystems used to improve patient and provider experiences.

The position focuses on developing robust automation, observability, and integration capabilities across complex data workflows.

You will work on high-impact systems that enhance pipeline reliability, scalability, and developer productivity.

Collaboration is central, as you will partner closely with data engineering, DevOps, and product teams.

This is a fully remote role within the contiguous United States, requiring strong ownership and a platform-first engineering mindset.

Accountabilities

• Design and build scalable backend services, APIs, and internal tools that automate data platform workflows such as onboarding, validation, orchestration, schema management, and data quality monitoring.
• Develop and integrate data pipelines and platform capabilities using technologies such as Airflow, Spark, dbt, Kafka, Snowflake, and related ecosystems.
• Build observability and governance solutions including dashboards, lineage tracking, job monitoring, and data quality metrics.
• Collaborate cross-functionally with engineering, DevOps, and product teams to translate requirements into scalable end-to-end solutions.
• Contribute to improving platform reliability, developer experience, and system performance across the data ecosystem.
  
  

Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

Requirements

• 7+ years of experience in data engineering or software development, including at least 5 years building production-grade data platforms or services.
• Strong programming skills in Python and SQL, with hands-on experience in Snowflake, BigQuery, Redshift, or similar platforms.
• Deep experience with distributed systems, streaming, or large-scale data processing frameworks such as Spark, Kafka, or Iceberg/Delta/Hudi.
• Experience building data tooling for schema evolution, data contracts, and self-service developer platforms.
• Strong understanding of data orchestration tools such as Airflow, Dagster, or Prefect.
• Solid experience with CI/CD pipelines, Docker, and AWS (minimum 2 years).
• Experience working with dbt for data transformation workflows.
• Strong knowledge of metadata systems, schema governance, and data quality frameworks.
• Nice to have: experience with data observability tools, data catalogs, healthcare data standards (X12, FHIR), data migration projects, internal developer platforms, and authentication/authorization systems (OAuth2, JWT, SSO).
• Must be authorized to work in the contiguous United States as an independent contractor; visa sponsorship is not available (including H1B, OPT, CPT, or similar statuses).
  
  

Benefits

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Fully remote work within the contiguous United States.
• Long-term, stable independent contractor engagement (40 hours per week).
• Structured work schedule aligned with US Eastern Time business hours.
• Opportunity to work on high-impact, large-scale healthcare data systems.
• Collaboration with highly skilled, global engineering teams.
• Exposure to modern data platform technologies and complex distributed systems.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.