ASSOCIATE DATA INTEGRATION & GOVERNANCE DEVELOPER (2960)

Job Summary:

The Associate Data Integration & Governance Developer is an early-career technical role focused on strengthening the organization’s data foundation. The primary responsibilities include ingesting and managing data from health plans and providers, enhancing enterprise data warehouse (EDW) structures, and implementing data governance and quality controls. Working closely with both on-site and offshore development teams, this role ensures healthcare data is loaded consistently and refreshed on a defined cadence to support comprehensive stakeholder visibility. This position is ideal for a recent college graduate with a strong academic background or internship experience in data engineering who is eager to build expertise in data integration, data quality, and healthcare analytics.

Responsibilities:

• Health Plan & Provider Data Ingestion: Develop and automate ETL/ELT pipelines to import large volumes of data from health plans (payer data files) and healthcare providers. Ensure that all critical datasets are successfully loaded into our data repository (moving beyond ad hoc or one-off loads) and that each data source is refreshed on a reliable schedule, so nothing remains outdated or omitted.
• Enterprise Data Warehouse Development: Support the evolution of our data warehouse from a basic replica of core system tables to a well-architected, integrated EDW. Assist in data modeling and integration tasks that transform raw data (e.g. eligibility, claims, clinical records) into governed, analytics-ready data marts. Help implement processes to unify disparate data sources and create a single source of truth for population health analytics.
• Data Quality & Governance: Collaborate on implementing data governance best practices. Run data quality checks and reconciliation processes on incoming datasets (e.g., validating member rosters, claims feeds, provider files) to catch and correct errors early. Maintain detailed data documentation and metadata (data dictionaries, source mappings, lineage) to improve transparency and ensure compliance with PHI/HIPAA guidelines when managing sensitive health information.
• Team Coordination & Collaboration: Coordinate day-to-day tasks with offshore developers and on-site teams, acting as a bridge between global development resources and local stakeholders. Participate in requirement gathering sessions and translate business requirements into technical tasks for the offshore team. Facilitate clear communication across time zones, manage task handoffs and QA, and align development efforts to deliver high-quality data solutions on schedule. Work closely with internal cross-functional partners (e.g., Quality, Population Health, IT) to ensure data solutions meet business needs and to support analytics initiatives.
• Analytics & Automation Enablement: Partner with the AI & Automation Developer to prepare data for advanced analytics and population health tools. Ensure the data pipelines and warehouse structures can support machine learning, reporting, and BI dashboards by providing clean, accessible, and well-governed data for downstream use.
• Continuous Improvement: Contribute to continuous improvement of data engineering workflows. Identify opportunities to streamline data ingestion, improve performance and scalability of data infrastructure, and adopt industry best practices.
• Preforms related duties consistent with the scope and intent of the position.
• Regular attendance.
• Travel as required.

Other Functions

• Enforces Company policies and safety procedures.
• Regularly updates job knowledge by participating in educational opportunities, reading professional publications, maintaining professional networks, and participating in professional organizations.
• Maintain IPA, Health Plan compliance standards.

Competencies

• Zero to two years (0-2) years of relevant project, internship, or healthcare data experience preferred.
• Proficiency in SQL for data manipulation and queries. Including familiarity with one or more ETL/ELT tools or scripting languages (e.g., Python) for data pipeline development.
• Understanding of data warehousing concepts, relational databases, and version control.
• Exposure to cloud data platforms or big data tools is preferred.
• Experience in healthcare data (e.g., member enrollment, claims, clinical data, provider information) and awareness of data privacy regulations (HIPAA/PHI) is preferred.
• Excellent communication and organizational abilities both written and oral, including the capacity to coordinate work between offshore and on-site teams.
• Proactive mindset and eagerness to grow in a dynamic environment.
• Excellent active listening and critical thinking and analytical skills.
• Ability to solve mid-level problems with minimal supervision.
• Has the ability to be a leader for the department, shows leadership skills and initiative.
• Ability to demonstrate professionalism, confidence, and sincerity while quickly and positively engaging providers/members.
• Ability to multi-task, exercise excellent time management, and meet multiple deadlines.
• Ability to provide and receive constructive job and/or industry related feedback.
• Ability to exercise sound discretion and strict maintenance of confidentiality of all confidential and sensitive communications and information.
• Excellent attention to detail and ability to document information accurately.
• Ability to effectively and positively work in a dynamic, fast-paced team environment and achieve objectives.
• Demonstrate commitment to the organization’s mission.
• Must have mid-level skills in Microsoft software (Word, Excel, PowerPoint, Visio) and Access is a plus.
• Must have the ability to quickly learn and use new software tools.
• Must have mid-level skills using e-mail applications.
• Self-motivated with strong organizational, multi-tasking, planning, and follow up skills.
• Ability to work independently as well as in a team environment.
• Ability to present self in a professional manner and represent the Company image.

Education and Licensure

• High School Diploma or GED minimum requirement.
• Bachelor’s Degree in Computer Science, Information Systems, Data Science or related discipline preferred.
• Internship/project experience preferred.

Travel

• The incumbent may travel up to 5% of the time.

Work Environment

This job operates in a professional office environment. This role routinely uses office equipment such as computers, phones, photocopiers, scanners and filing cabinets

Salary : $36 - $46