Data Engineer (Snowflake + Databricks + Python)

Apexon; Alpharetta (GA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading financial services solution provider is seeking a highly skilled Data Engineer in Alpharetta, Georgia. The ideal candidate will possess over 10 years of experience and strong proficiency in Snowflake, Databricks, and Python. You will design and maintain robust data pipelines and support analytics and machine learning workflows. This role offers an opportunity to work collaboratively with cross-functional teams in a dynamic environment.

Qualifications

• 10+ years of professional experience as a Data Engineer or similar role.
• Strong proficiency in Snowflake design and development including Snowpipe and performance tuning.
• Hands-on experience with Databricks including PySpark, Delta Lake, and jobs.

Responsibilities

• Design, develop, and maintain robust data pipelines and ingestion workflows.
• Work closely with teams to translate business requirements into technical solutions.
• Support analytics, reporting, and machine learning workflows.

Skills

Snowflake design and development

Databricks

Python

SQL

Data warehousing concepts

Problem-solving skills

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or related field

Tools

AWS

Azure

GCP

Apache Airflow

Jenkins

GitHub Actions

GitLab

Job description

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.

Experience Level:

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

Position Summary

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.

Required Skills & Qualifications

• 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, GitHub Actions, GitLab) and version control (Git).
• Strong analytical, problem‑solving and communication skills with the ability to work in collaborative cross‑functional teams.