Healthcare Data Engineer Claims Processing job at Cognizant in US National

Title: Healthcare Data Engineer Claims Processing

Location:USA

Remote

Employment Type: Full-Time

Job ID: 00068642181

Job Description:

About the role

As a Healthcare Data Engineer - Claims Processing, you will make an impact by implementing data processing and transformation logic for healthcare claims transactions and large volumes of historical claims data within a batch‑oriented Proof of Concept (POC) environment. You will be a valued member of the delivery team and work collaboratively with claims, integration, and analytics stakeholders to ensure accurate, efficient, and performant data processing.

This is a remote position, open to qualified applicants.

In this role, you will:

Develop and implement batch processing logic for healthcare claims (837) and remittance (835) data

Support transformation, ingestion, and handling of large historical claims datasets (e.g., multiple years of claims history)

Implement data validation, quality checks, and error‑handling processes to ensure data accuracy and reliability

Optimize data processing performance to meet accelerated POC timelines and delivery milestones

Support troubleshooting, root cause analysis, and resolution of data processing and transformation issues

Collaborate with cross‑functional teams to ensure claims data is processed in alignment with business and technical requirements

Work model

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position. Regardless of location, we are committed to supporting a healthy work‑life balance through our wellbeing programs.

The working arrangements for this role are accurate as of the date of posting and may change based on project or client needs. We will always be transparent about role expectations.

What you need to have to be considered

Strong SQL and ETL development experience

Proven experience working with large, complex datasets in batch‑processing environments

Familiarity with healthcare claims data; experience with X12 transactions (837/835) strongly preferred

Prior experience implementing data transformation and validation logic

These will help you stand out

Experience supporting healthcare payer systems or claims analytics initiatives

Exposure to claims ingestion, reconciliation, or reporting use cases

Strong analytical and problem‑solving skills with attention to data quality and performance

Experience working in fast‑paced POC or delivery‑driven environments

Salary and Other Compensation:

Applicants will be accepted till 5/25/2026

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

The annual salary for this position will be in the range of $113K-$132K depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.

If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!