About the role

As a Data Engineer – Talend & Databricks , you will make an impact by designing and delivering scalable data integration solutions that support large-scale processing, data quality, and downstream analytics. You will be a valued member of the data engineering team and collaborate closely with test data management teams, solution architects, and cross‑functional technical partners.

In this role, you will: Build and optimize large-scale data pipelines using Databricks to support data engineering and processing needs. Develop ETL solutions using Talend Data Integration and Talend Data Mapper to handle complex transformations. Process healthcare data formats—including X12 (834/837), JSON, XML, flat files, and Excel—to meet business and compliance requirements. Integrate, validate, and reconcile data across MongoDB, relational databases (Oracle, SQL Server), and target systems. Work closely with the Test Data Management team to perform ETL operations and ensure accurate data movement into Teradata. Work model:

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants across the United States. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various well‑being programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered: Proven hands‑on experience with Databricks for data engineering, ETL processing, and large‑scale data workflows. Strong expertise in Talend Data Integration and Talend Data Mapper, including complex mapping and transformation logic. Experience working with healthcare data formats, including X12 (834/837), JSON, XML, Excel, and flat files. Solid working knowledge of MongoDB and relational databases (Oracle, SQL Server), including data validation and query development. Basic to intermediate skills in Java and/or Python to support custom transformations, utilities, and pipeline troubleshooting. Experience processing EDI and MongoDB data and loading into Teradata environments. These will help you stand out: Experience supporting test data management initiatives or large enterprise data programs. Familiarity with data quality frameworks, metadata management, or automation of data validation processes. Exposure to cloud data ecosystems or modern data engineering tools.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation:

Applications will be accepted until April 19, 2026.

The annual salary for this position is between $ 130,000 - $ 150,000 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: 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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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