About the role
As a Senior Data Engineering, you will make an impact by designing, building and deploying scalable analytics solutions and data models on cloud platforms for a major retail client. You will be a valued member of the engineering delivery team and work collaboratively with technical program managers, client stakeholders, technical leads and development teams to translate business requirements into reliable, production-ready solutions.
In this role, you will:
· Lead the design and implementation of effective analytics solutions and data models deployed on cloud platforms such as Azure or Google Cloud Platform.
· Analyse business requirements, recommend technical solutions and confidently lead discussions with technical program managers, technical leads and client stakeholders.
· Build high-quality applications and data pipelines using industry coding standards, strong engineering practices and unit testing aligned to project coverage expectations.
· Ensure developed features are properly tested, released and deployed successfully into production environments.
· Implement monitoring solutions aligned to client recommendations and operational best practices.
· Document technical designs, service specifications and implementation details while guiding developers in preparing functional and technical specifications.
Work model: Remote
We believe remote work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position in Bentonville, AR. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.
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:
· 7+ years of hands-on experience in data engineering, analytics engineering or related software engineering roles.
· Strong experience with PySpark, Scala, Advanced SQL and Python.
· Experience building and managing Airflow pipelines and cloud-based analytics solutions.
· Hands-on experience with reporting and visualization tools such as Power BI or Looker Studio.
· Experience working with at least one cloud platform; Google Cloud Platform experience is preferred.
· Strong SQL experience, with BigQuery experience considered a plus.
· Knowledge of designing large-scale, high-volume applications and data solutions.
*Please note, this role cannot offer visa transfer or sponsorship now or in the future*
These will help you stand out:
· Experience delivering cloud analytics solutions for retail, consumer goods or high-volume enterprise environments.
· Ability to lead technical conversations with client stakeholders and cross-functional teams.
· Experience implementing production monitoring, observability and operational readiness practices.
· Strong documentation skills, including experience creating design documents, service specifications and technical implementation details.
· Experience mentoring developers or providing technical guidance across delivery teams.
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 compensation:
The annual salary for this position will be between $68,000 to $131,000 per year depending on the experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.
Applications will be received by August 21st, 2026.
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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
