What are the responsibilities and job description for the Senior Data Engineer/Snowflake/Atlanta, GA LOCAL position at Motion Recruitment Partners, LLC?
Our client, a SaaS company that helps housing, economic, and community development programs run more efficiently, is hiring a Senior Data Engineer to join their Data & Analytics team on a full-time basis. You'll help build and own the data pipelines and models that power analytics and product functionality across a platform already trusted by 300 organizations, with Snowflake as the core data warehouse technology driving it all.
This role goes beyond hands-on development. You'll partner directly with Product, Engineering, and Client Success leaders to shape data strategy and turn business goals into scalable solutions. Snowflake experience is a must, as it sits at the center of the team's data ecosystem alongside Azure Data Factory, Kafka, and Databricks. You'll have real influence over architecture, governance, and best practices, mentor teammates along the way, and grow into a technical leader on a team that values learning and work-life balance.
Required Skills & Experience
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
This role goes beyond hands-on development. You'll partner directly with Product, Engineering, and Client Success leaders to shape data strategy and turn business goals into scalable solutions. Snowflake experience is a must, as it sits at the center of the team's data ecosystem alongside Azure Data Factory, Kafka, and Databricks. You'll have real influence over architecture, governance, and best practices, mentor teammates along the way, and grow into a technical leader on a team that values learning and work-life balance.
Required Skills & Experience
- 4-5 years of experience in data engineering, analytics, and ETL/ELT best practices
- 4-5 years of hands-on Snowflake experience is required (Azure Synapse or AWS Redshift experience also considered)
- 4-5 years of SQL experience
- 3-4 years of experience with Python
- 2-3 years working with a BI/reporting tool such as Power BI or Tableau
- 2-3 years of data pipeline development experience
- Experience building and consuming APIs
- Familiarity with Azure Data Factory
- Familiarity with Kafka and Kafka Connect
- Familiarity with Spark/Databricks
- Familiarity with object-oriented programming languages
- Familiarity with Azure services such as Logic Apps and Power Apps
- Familiarity with monitoring or logging tools
- Familiarity with Azure DevOps CI/CD and SDLC tools like Jira/Confluence
Tech Breakdown
- 65% Snowflake data warehousing & pipeline development
- 35% Azure Data Factory, Python & Kafka
- 65% Hands-on pipeline & dataset development
- 20% Cross-functional collaboration with Product, Engineering & Client Success
- 15% Data governance, mentorship & process improvement
The Offer
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Salary : $145,000 - $160,000