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Data Engineer

TOPSYSITAtlanta, GA🇺🇸United StatesPosted 1 Sept 2026

Why This Role Stands Out

This hybrid Data Engineer role offers a fantastic opportunity to build and manage cutting-edge enterprise data platforms using Databricks, Snowflake, and Azure, making it ideal for experienced engineers eager to expand their cloud data expertise. You'll thrive by leveraging your Python, PySpark, and SQL skills to create scalable ETL/ELT pipelines and contribute to impactful data products within a collaborative environment. Apply now to join TOPSYSIT and advance your career in a dynamic technology landscape!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
1 week ago
SQLETLSnowflakeAirflowAzureDatabricksGitPythonUnitydbt

Job Description

Data Engineer (Databricks / Snowflake / Azure)

LOOKING ONLY ON W2

 

Overview

We are looking for a Data Engineer to design and maintain enterprise data platforms using Databricks, Snowflake, and Azure. You will build scalable ETL/ELT pipelines and manage cloud data warehousing solutions.

Responsibilities

  • Design and deploy batch and streaming data pipelines u
  • sing Databricks, Snowflake, and Azure Data Factory.
  • Write ETL/ELT workflows using Python, PySpark, and advanced SQL for large-scale datasets.
  • Manage data lake and warehouse architectures on Azure (ADLS, Synapse), Databricks (Delta Lake, Unity Catalog), and Snowflake.
  • Optimize Snowflake query performance, storage, clustering, and partitioning.
  • Implement dimensional data models (star/snowflake schemas) and CI/CD pipelines via Git and Azure DevOps.
  • Partner with analysts and stakeholders to deliver reliable, production-ready data products.

Requirements

  • 3+ years of production data engineering experience.
  • Hands-on expertise in Databricks, Snowflake, and Azure.
  • Strong proficiency in Python, PySpark, and SQL query optimization.
  • Proven background in data modeling, warehousing, and pipeline orchestration (e.g., ADF, Airflow, dbt).
  • Experience with Git, CI/CD practices, and basic data governance/security standards.

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