Healthcare Data Scientist

🕒 August 4

🏛️ District of Columbia, Virginia, +1 more states – Remote

🏛️ District of Columbia – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cherokee Federal

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1969

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

Cherokee Federal is a U. S. federal systems integrator and government contractor that empowers mission success for more than 60 U. S. federal agencies. With a global workforce of over 5,000, it delivers advanced technology (cloud, cybersecurity, data & analytics), health services, intelligence analysis and operational support, logistics and sustainment, mission-critical manufacturing, program and engineering technical services, and dynamic contracting solutions to support federal priorities and national security. Cherokee Federal is part of Cherokee Nation Businesses and focuses on mission-focused, U. S. -made solutions.

📋 Description

• Develop, maintain, and optimize data pipelines using SQL, Python (pandas), and PySpark • Execute and manage notebook-based workflows within Azure Synapse, including debugging and documentation • Process and transform structured and semi-structured data in CSV, JSON/NDJSON, and Parquet formats • Work within ETL/ELT pipelines across raw, curated, and production data layers • Ingest, profile, map, and transform healthcare data from EHR systems and interface feeds while preserving source lineage and clinical context • Perform structured data validation, including row counts, null checks, duplicate detection, schema validation, and allowed value enforcement • Identify and resolve schema drift, inconsistencies, and transformation errors across pipeline stages • Apply repeatable testing and validation practices, reproduce issues, verify fixes, and ensure data reliability • Validate source-to-target mappings and reconcile records across source and destination systems during data conversion and migration • Conduct exploratory data analysis to identify patterns, anomalies, and data quality concerns • Develop derived datasets for reporting, analytics, and downstream data use cases • Collaborate with stakeholders to translate data requirements into usable datasets and metrics • Interpret schemas, column definitions, data types, keys, and table relationships • Manage dataset grain and assess how join strategies affect row counts and outputs • Trace data issues from source ingestion through transformation logic to final outputs • Use logs and debugging approaches to diagnose and resolve pipeline issues • Document transformations, assumptions, mappings, and validation results • Collaborate with engineers, analysts, and stakeholders to ensure data usability, integrity, and requirements alignment • Communicate data issues, findings, and workflow updates with technical team members

🎯 Requirements

• Hands-on experience writing SQL queries for data transformation and analysis • Experience using Python, such as pandas, for data processing • Hands-on experience using PySpark for distributed data processing • Experience working within cloud-based data platforms, preferably Azure Synapse or similar • Understanding of ETL/ELT concepts and data pipeline architecture • Experience with structured and semi-structured data formats, including CSV, JSON, and Parquet • Familiarity with Git and collaborative development workflows • Strong problem-solving and debugging skills across data pipelines • Ability to validate and ensure data quality through structured checks and testing practices • Strong written and verbal communication skills

🏖️ Benefits

• Generous paid time-off • Employee incentive program • Continuous learning culture • Internal Investment Projects (IIP) • Virtual brown-bags/level-ups • Other professional development activities • Recruiting bonuses • 3% 401k Safe Harbor contributions • Medical insurance • Dental insurance • Vision insurance • Long-term disability insurance • Short-term disability insurance • AD&D insurance • Life insurance