Senior Data Engineer (Medtech)

TL;DR

Senior Data Engineer (Data Platform): Architecting and building core services, automation tools, and integrations for a healthcare data ecosystem with an accent on pipeline reliability, observability, and developer experience. Focus on developing scalable backend services, implementing schema governance, and optimizing distributed compute workloads using Spark and Kafka.

Location: Must be based in the contiguous United States

Company

Global technology services company specializing in cloud architecture, infrastructure, migration, and optimization for enterprises and startups.

What you will do

• Develop scalable backend services, APIs, and internal tools to automate data platform workflows including onboarding, validation, and orchestration.
• Build and integrate data pipelines using Airflow, Spark, dbt, Kafka, and Snowflake to expose capabilities via APIs and UIs.
• Create visualization and monitoring components for data lineage, job health, and quality metrics.
• Collaborate cross-functionally with data engineering, product, and DevOps teams to deliver end-to-end platform solutions.

Requirements

• Must be a US citizen, Green Card Holder, or sole proprietor of an LLC.
• No sponsorship available (H1B, OPT, EAD, CPT etc. are not eligible).
• 7+ years of experience in data engineering or software development, with 5+ years building production-grade platform services.
• Strong proficiency in Python, SQL, and at least one major data platform (Snowflake, BigQuery, or Redshift).
• Deep experience with streaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg, Delta, or Hudi).
• At least 2 years of experience with AWS and proficiency in dbt, CI/CD, and Docker.

Nice to have

• Experience with data observability, data catalogs, or metadata management tools.
• Knowledge of healthcare data standards such as X12 or FHIR.
• Proven experience in data migration projects from legacy to modern technologies.
• Experience building internal developer platforms or data portals.
• Understanding of authentication/authorization protocols (OAuth2, JWT, SSO).

Culture & Benefits

• Fully remote work within the contiguous United States.
• Stable, long-term independent contract agreement.
• Full-time engagement (40 hours per week).
• Working hours aligned with US Eastern time office hours.

Hiring process

• Recruiter interview (30 min).
• Technical interview (45 min).
• Screening interview with the client's hiring manager (30 min).
• Client technical interview (45 min).