Senior Data Engineer

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Design, develop, and enhance scalable data pipelines that support enterprise healthcare analytics and reporting initiatives.

• Construct and automate ingestion frameworks for structured and semi-structured healthcare data sources.

• Develop and extend semantic data layers in GCP and BigQuery to ensure reliable and consistent analytics consumption across business teams.

• Create and implement scalable ELT/ETL workflows utilizing modern cloud-native architecture patterns.

• Automate orchestration, monitoring, and operational processes throughout the data platform.

• Collaborate with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions.

• Enhance BigQuery performance, partitioning, and query efficiency to boost scalability and manage costs effectively.

• Apply engineering best practices for testing, observability, reliability, deployment automation, and operational support.

• Contribute to initiatives related to data governance, metadata management, and data quality across the platform.

• Mentor junior engineers and foster a collaborative, high-performing engineering culture.

⛳️ Requirements

• Minimum of 5 years of experience in data engineering or cloud data platform development.

• In-depth expertise in Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Cloud Composer or orchestration tools, and Dataflow or modern ingestion frameworks.

• Proven experience in designing and building scalable data ingestion and pipeline automation solutions.

• Strong understanding of semantic layer development and dimensional modeling concepts.

• Advanced skills in SQL and Python development.

• Experience with the design, orchestration, and optimization of ELT/ETL pipelines.

• Knowledge of CI/CD pipelines, infrastructure automation, and cloud engineering best practices.

• Strong grasp of data quality, observability, and operational reliability principles.

• Previous experience in healthcare data ecosystems and regulated enterprise environments is preferred.

• Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards.

• Experience in supporting enterprise BI and analytics initiatives.

• Consulting or client-facing delivery experience is strongly preferred.

🏝️ Benefits

• Medical

• Dental

• Vision

• 401K

• PTO

• Paid holidays

• Commuter benefits

• Spending accounts

• Life insurance

• Disability coverage

• EAPs