Data Engineer; Snowflake + Databricks + Python

Company Overview:

Fiserv powers financial services experiences around the world — from card payments and banking systems to digital payments and data analytics. Joining Fiserv means working at the forefront of data-driven solutions that deliver secure, scalable, and high-performance data platforms to support business outcomes and innovation in financial services.

Mid to Senior (typically 10+ years of relevant experience)

We are seeking a highly skilled Data Engineer with deep hands-on experience in Snowflake
, Databricks
, and Python
. The ideal candidate will design, develop, and maintain robust data pipelines, data ingestion workflows, and scalable data warehouses. You will work closely with cross-functional teams to translate business requirements into technical solutions that support analytics, reporting, and machine learning workflows.

• Bachelor’s or Master’s degree in Computer Science
  , Engineering
  , Information Systems
  , or a related field.
• 10+ years of professional experience as a Data Engineer or similar role in enterprise data environments.
• Strong proficiency in Snowflake design and development — including Snowpipe, external tables, tasks, performance tuning, and query optimization.
• Hands‑on experience with Databricks including PySpark, Delta Lake, notebooks, jobs, and administration.
• Expertise in Python and SQL for developing robust data transformation logic across data platforms.
• Solid understanding of data warehousing concepts
  , data modeling (star/snowflake schemas), and ELT patterns.
• Experience with cloud platforms such as AWS
  , Azure
  , or GCP for data storage and compute resources.
• Familiarity with orchestration tools such as Apache Airflow
  , Databricks Workflows
  , or similar.
• Knowledge of CI/CD tools (Jenkins, Git Hub Actions, Git Lab) and version control (Git).
• Strong analytical, problem‑solving and communication skills with the ability to work in collaborative cross‑functional teams.