Senior Data Engineer/Snowflake/Atlanta, GA LOCAL

Motion Recruitment; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Vacation Time

Stock Options

Job summary

Motion Recruitment is seeking a Senior Data Engineer to join a SaaS company’s Data & Analytics team in Atlanta. You will build and own data pipelines and models powering analytics and product features across a platform used by 300+ organizations, with Snowflake at the core.

You’ll partner with Product, Engineering, and Client Success to shape data strategy, governs best practices, and mentor teammates while growing into a technical leader on a team that values learning and work-life balance.

Qualifications

• 4-5 years of experience in data engineering, analytics, and ETL/ELT best practices.
• 4-5 years of hands-on Snowflake experience (Azure Synapse or AWS Redshift experience also considered).
• 4-5 years of SQL experience.
• 3-4 years of Python experience.
• 2-3 years working with a BI/reporting tool such as Power BI or Tableau.
• 2-3 years of data pipeline development experience.

Responsibilities

• Hands-on pipeline & dataset development (65%).
• Cross-functional collaboration with Product, Engineering & Client Success (20%).
• Data governance, mentorship & process improvement (15%).

Skills

Data engineering

ETL/ELT

SQL

Python

Data pipelines

Tools

Snowflake

Azure Data Factory

Kafka

Databricks

Power BI

Tableau

Job description

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

• 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

Desired Skills & 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

Daily Responsibilities

• 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

You Will Receive The Following Benefits

• 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.