Data Onboarding Coordinator

About this role

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Job Qualifications: Skills: Client Support, Collaboration, Data Operations, Data Quality, Requirements Gathering Certifications: None Experience: 2 + years of related experience US Citizenship Required: No

Job Description: Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Management Specialist at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

You will support the Healthcare Fraud prevention Partnership (HFPP) Trusted Third Party (TTP) mission by ensuring that every new data source is onboarded accurately, efficiently, and with high quality. Your work directly enables reliable, well‑structured data pipelines that drive analytics, decision‑making, and operational insight.

MEANINGFUL WORK AND PERSONAL IMPACT:

• Coordinate the onboarding of new data sources, files, feeds, or partners.

• Review and interpret source data formats, schemas, and business requirements.

• Map incoming data to internal data models and ensure adherence to transformation rules.

• Validate data quality, completeness, and consistency during onboarding.

• Support troubleshooting for data delivery, parsing, formatting, or integration issues.

• Collaborate with engineering, product, operations, and client teams to resolve questions and clarify dependencies.

• Document onboarding workflows, data definitions, validation rules, and exceptions.

• Track onboarding status, risks, and timelines through completion.

WHAT YOU’LL NEED TO SUCCEED:

• Bachelor’s degree in information systems, computer science, data analytics, or related field, or equivalent experience. • 2+ years of experience in data operations, data integration, implementation, or technical support.

• Familiarity with structured data formats (CSV, JSON, XML, flat files)

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication skills. • Ability to manage multiple onboarding tasks and deadlines simultaneously. • High attention to detail and strong organizational skills.

PREFERRED QUALIFICATIONS:

• Experience with ETL/ELT workflows, SQL , Python , or data quality tools. • Knowledge of cloud data platforms such as Snowflake, Databricks, or AWS. • Experience working with API-based integrations and secure file transfer methods. • Familiarity with healthcare, financial, or regulated data environments. • experience with metadata management, data governance, or schema mapping. • Experience with Jira and Confluence.

SUCCESS METRICS:

• Data sources are onboarded on schedule. • Incoming data meets quality and completeness thresholds. • Fewer onboarding defects and rework cycles. • Clear documentation and smooth handoff to operations or analytics teams. • Timely partner communication through resolution.

GDIT IS YOUR PLACE:

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities. • Support: An internal mobility team focused on helping you achieve your career goals. • Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off. • Flexibility: Full-flex work week to own your priorities at work and at home. • Community: Award-winning culture of innovation and a military-friendly workplace.

OWN YOUR OPPORTUNITY

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $85,000 - $115,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

T elecommuting Options: Remote

Work Location: Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.    

Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your pictu

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