Principal Data Engineer – ML Platforms

6 hours ago

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

💵 $144.8k - $188k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Apply Now

Receive Emails with Similar Jobs

Altarum

WebsiteLinkedInAll Job Openings

Non-profit • Healthcare Insurance • Government

Altarum is a nonprofit organization dedicated to improving the health of individuals with fewer financial resources and populations disenfranchised by the healthcare system. The organization partners with federal, state, and local agencies to turn policy into practice, working directly with healthcare service providers to transform service delivery and advance public health. Altarum conducts applied research, data analytics, and provides advisory services across various health domains, including behavioral health, food and nutrition, and maternal and child health. The organization is also focused on modernizing health infrastructure to enable interoperability across the health ecosystem. As a leader in integrating public health and healthcare service delivery, Altarum aims to scale its impact across different communities.

201 - 500 employees

Founded Altarum was founded in 1997.

🤝 Non-profit

⚕️ Healthcare Insurance

🏛️ Government

📋 Description

• Design and operate modern, cloud-agnostic lakehouse architecture using object storage, SQL/ELT engines, and dbt • Build CI/CD pipelines for data, dbt, and model delivery (GitHub Actions, GitLab, Azure DevOps) • Implement MLOps systems: MLflow (or equivalent), feature stores, model registry, drift detection, automated testing • Engineer solutions in AWS and AWS GovCloud today, with portability to Azure Gov or GCP • Use Infrastructure-as-Code (Terraform, CloudFormation, Bicep) to automate secure deployments • Build scalable ingestion and normalization pipelines for healthcare and public health datasets • Create reusable connectors, dbt packages, and data contracts for cross-division use • Publish clean, conformed, metrics-ready tables for Analytics Engineering and BI teams • Support Population Health in turning evaluation and statistical models into pipelines • Define SLOs and alerting; instrument lineage & metadata; ensure ≥95% of data tests pass • Perform performance and cost tuning (partitioning, storage tiers, autoscaling) with guardrails and dashboards • Build production-grade pipelines for risk prediction, forecasting, cost/utilization models, and burden estimation • Develop ML-ready feature engineering workflows and support time-series/outbreak detection models • Translate R/Stata/SAS evaluation code into reusable pipelines • Implement Model Card Protocol (MCP) and fairness/explainability tooling (SHAP, LIME) • Ensure compliance with HIPAA, 42 CFR Part 2, IRB/DUA constraints, and NIST AI RMF standards • Develop runbooks, architecture diagrams, repo templates, and accelerator code • Provide technical guidance for proposals and client engagements.

🎯 Requirements

• 7–10+ years in data engineering, ML platform engineering, or cloud data architecture • Expert in Python, SQL, dbt, and orchestration tools (Airflow, Glue, Step Functions) • Deep experience with AWS + AWS GovCloud • CI/CD and IaC experience (Terraform, CloudFormation) • Familiarity with MLOps tools (MLflow, Sagemaker, Azure ML, Vertex AI) • Ability to operate in regulated environments (HIPAA, 42 CFR Part 2, IRB) • Preferred: Experience with FHIR, HL7, Medicaid/Medicare claims, and/or SDOH datasets • Databricks, Snowflake, Redshift, Synapse • Event streaming (Kafka, Kinesis, Event Hubs) • Feature store experience • Observability tooling (Grafana, Prometheus, OpenTelemetry) • Experience optimizing BI datasets for Power BI.

🏖️ Benefits

• Competitive Medical, Dental and Optical plans • Generous Paid Time Off, 8 Company observed holidays plus 3 floating holidays • Tuition Assistance • 401K Plan (3% employer contribution plus opportunity for gainsharing) • Life, AD&D & Disability coverage • A flexible work environment