Data Engineer
Indexed description
In This Role, You Will
- Develop and maintain ETL/ELT pipelines that ingest, transform, and deliver data from a variety of enterprise sources.
- Support the design, optimization, and maintenance of data warehouses, data lakes, and cloud-based data platforms.
- Monitor and troubleshoot data pipelines to ensure data quality, accuracy, and operational reliability.
- Write and optimize SQL queries for data extraction, validation, integration, and reporting needs.
- Collaborate with cross-functional teams to understand business requirements and deliver scalable data solutions.
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
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field.
- 0–3 years of experience in Data Engineering, Database Development, Data Integration, or related disciplines.
- Strong knowledge of SQL and relational database concepts.
- Basic to intermediate programming experience in Python, Java, Scala, or similar programming languages.
- Understanding of ETL/ELT principles, data integration techniques, and data processing methodologies.
- Knowledge of data warehousing concepts, dimensional modeling, and data architecture fundamentals.
- Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Understanding of version control tools such as Git.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Experience with data processing frameworks such as Spark, Databricks, or Hadoop.
- Familiarity with ETL tools such as Azure Data Factory, SSIS, Informatica, or Talend.
- Experience working with databases including SQL Server, PostgreSQL, Oracle, or MySQL.
- Exposure to cloud-native data engineering and analytics solutions within Azure environments.
- Experience working in Agile development environments, including sprint planning, stand-ups, and code reviews.
- Knowledge of data quality, data governance, and automation best practices.
Salary And Other Compensation
Applications will be accepted until August 7,2026.
The annual salary for this position is between $65,00- $80,000 USD 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
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