Data Engineer

Position:-Data Engineer

Location:-Remote
Type:- Contract

About the Role

We are seeking a Data Engineer / Data Operations Analyst to join our Onshore team, responsible for managing, monitoring, and operating data pipelines that support US healthcare quality reporting and analytics. This role requires close, day-to-day collaboration with an Offshore engineering team, hands-on experience running and troubleshooting data processing engines, and solid working knowledge of AWS file transfer and storage concepts (S3). Candidates should bring or be able to quickly pick up domain understanding of US healthcare quality programs (e.g., Star Ratings, HEDIS, quality measures, rebate/bonus calculations).

Required Qualifications

•     Bachelor''s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent practical experience).

•     5+ years of experience in data engineering, data operations, or production data pipeline support.

•     Proven experience collaborating with Offshore/distributed teams, including clear communication, task handoff, and status reporting across time zones.

•     Hands-on experience operating and troubleshooting data engines/pipelines (e.g., Spark, Airflow, Informatica, Talend, or similar ETL/orchestration tools).

•     Familiarity with US healthcare industry data and quality reporting concepts — Medicare Advantage, HEDIS, quality/rebate measures, or similar NCQA related programs strongly preferred.

•     Strong troubleshooting mindset with ability to triage and resolve production data issues under time pressure.

•     Demonstrated ability to build new processes/workflows from the ground up and create clear technical documentation (process guides, SOPs, runbooks) for recurring operational tasks.

•     Excellent written and verbal communication skills, with ability to translate technical issues for both Onshore and Offshore stakeholders.

•     Strong Problem-solving skill.

Technical Skills

•     Programming/Scripting: Python, PySpark, Bash scripting, AWK command

•     Databases: MySQL, Amazon Redshift, and general relational database concepts (SQL, query optimization, schema design)

•     Cloud & Storage: AWS (EBS,S3, file transfer mechanisms, IAM basics)

•     Version Control: Git (branching, merging, pull requests, code review workflows)

•     Understanding of Containerization: Docker (building, running, and managing containers for data pipeline components)

•     Big Data Processing: PySpark for distributed data processing and transformation at scale

Preferred Qualifications

•     Experience with cloud-based data warehousing (Redshift).

•     Exposure to healthcare compliance and data privacy standards (HIPAA).

•     Experience with job scheduling/monitoring tools (Control-M, Airflow, AWS Step Functions, etc.).

•     Prior experience in a healthcare payer, health plan, or Medicare Advantage environment.

•     Familiarity with CI/CD practices for data pipeline deployment.

•     Knowledge of FHIR structures, CCDA etc., will be a plus

•     Optionally knowledge of Databricks is an added advantage

Thanks
Sudheera
Sr. Talent Acquisition
Select Jarvis LLC
E:-
T:-
(202 North Walton Blvd, Suite 32, Bentoville, AR 72712)