Fiserv→
Technology Analyst Program - Data Engineer… at Fiserv · Berkeley…
Entry LevelOn-siteFull-timeBerkeley Heights, NJ$62k–$100k/yr
Skills
sqlrelational databasespythonjavadata warehousingcloud platforms - azureapache sparkhadoopdatabricksazure data factorygcp dataflowci/cd pipelines
Job Description
Summary: Fiserv is a global leader in Fintech and payments, connecting financial institutions, corporations, merchants, and consumers. They are seeking an early-career Data Engineer to design, build, and support reliable data pipelines for analytics and operational platforms.
Responsibilities:
- Assist in designing and building data pipelines for data ingestion, transformation, and storage
- Develop and maintain pipeline workflows to enable efficient data movement and processing
- Support data modeling and schema design for analytics and operational use cases
- Monitor, troubleshoot, and improve pipeline performance, reliability, and data quality
Required Qualifications:
- Recent graduate of a bachelor's degree completed in December 2024 or after in Computer Science, Data Science, Management Information Systems, Technical Project Management, or other Technology Degrees
- 3.0+ GPA
- 0-2 years of professional work experience
- You must currently possess valid and unrestricted U.S. work authorization to be considered for this role
Preferred Qualifications:
- Proficiency in SQL and a solid understanding of relational databases
- Basic knowledge of Python or Java (or similar scripting languages) for automation and data processing
- Understanding of data warehousing concepts and familiarity with cloud platforms (Azure or similar)
- Strong problem-solving skills and ability to work with large datasets
- Experience with Apache Spark, Hadoop, or similar big data frameworks
- Familiarity with Databricks workflows or other workflow orchestration tools
- Exposure to Databricks, Azure Data Factory, or GCP Dataflow
- Knowledge of CI/CD practices and pipelines for data engineering
Required Skills: SQL, Relational databases, Python, Java, Data warehousing, Cloud platforms - Azure, Apache Spark, Hadoop, Databricks, Azure Data Factory, GCP Dataflow, CI/CD pipelines