This position is no longer accepting applications
Closed on June 11, 2026.
This role is filled — get an email when new Data Analytics roles open on DataJobs.io:
Data Analyst with (Pyspark and SQL)
Python
Senior
Analyst
Analytics
Apache Airflow
Bigquery
Business Analytics
Business Intelligence
Cloud Operations
Data Analysis
Data Analytics
Data Warehouse
Looker Studio
Power BI
PySpark
Reporting and Analytics
Spark
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Analytics jobs on DataJobs.io alert.
See other roles at Cognizant.
Job Description
Cognizant’s Digital Engineering practice offers a path to design and deploy analytics solutions at scale on cloud platforms. This Senior Data Analyst role, focused on PySpark and SQL, is based in Bentonville, AR with remote options and a competitive salary range of USD 68,422 - 131,500 per year. The position supports collaboration across product, technical, and delivery teams, delivering cloud-based analytics solutions for Cognizant Digital Engineering clients. The benefits package reflects a commitment to health, financial security, and work-life balance, including medical, dental, vision, life insurance, paid holidays plus Paid Time Off, a 401(k) plan, long-term and short-term disability, paid parental leave, and an Employee Stock Purchase Plan.
Responsibilities
- Design and implement effective analytics solutions and models deployed on cloud platforms (Azure or GCP).
- Analyze business requirements and deliver solutions; engage with the TPM and Tech Lead, and lead conversations as needed.
- Build applications aligned with business requirements, follow industry coding standards, write unit tests, and meet coverage targets defined by the project.
- Ensure features are properly tested and deployed to production.
- Implement monitoring solutions recommended by the client to maintain system health and reliability.
- Document design and service specifications; provide guidance to developers in preparing functional and technical specs.
Requirements
- 6 to 7+ years of PySpark experience is required; proficiency in SCALA, Advanced SQL, Airflow pipelines, and visual reporting tools such as Power BI or Looker Studio; experience with any cloud platform (GCP is a plus).
- Strong experience in SQL, with BigQuery experience a plus.
- Strong Python skills.
- Hands-on experience or knowledge in designing large-scale, high-volume applications is advantageous.
Technologies
- Pyspark, SCALA, Advanced SQL, Airflow, Power BI, Looker Studio, Azure, GCP, BigQuery, Python
Benefits
- Medical, Dental, Vision, and Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan with company contributions
- Long-term and 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. Applicants may be required to attend interviews in person or by video conference, and candidates may be asked to present current state or government issued ID during interviews.