Senior Data Engineer

Location: Smyrna, GA (Hybrid – 4 days onsite to start, transitioning to 3 days onsite after onboarding)

Employment Type: Full-time, Direct Hire

Work Authorization: U.S. Citizens and Green Card Holders only

Visa Sponsorship: Not available for this role

About the Role

We are seeking a highly skilled Senior Data Engineer to join a rapidly growing data team focused on building, scaling, and optimizing data pipelines and analytics infrastructure. This team plays a central role in transforming complex, high-volume datasets into actionable insights that support strategic business initiatives. This is a net-new role, created as part of continued investment in modern data architecture and advanced analytics.

You will contribute directly to the development and enhancement of cloud-native data systems, leveraging your expertise in Snowflake, AWS services, and Python to build robust, scalable solutions. This position is ideal for candidates who thrive in fast-paced, hands-on environments and who are passionate about modern data engineering practices.

Key Responsibilities

• Design and build robust, scalable data pipelines using Python and Airflow
• Develop ETL/ELT workflows to integrate data from diverse internal and external sources
• Collaborate with cross-functional teams to enable data-driven decision making
• Maintain and optimize data warehouse infrastructure using Snowflake
• Work within a DevOps-driven framework using GitHub Actions and Terraform to automate infrastructure and CI/CD pipelines
• Implement data quality checks, monitoring, and validation processes
• Participate in the enablement of AWS services through modular infrastructure code (Terraform)
• Leverage best practices in metadata management and data governance
• Stay informed about emerging tools and Snowflake features, including those related to AI/ML and advanced analytics
• Support business partners by building tools, dashboards, and reusable data models that simplify access to insights

Required Skills & Experience

• 5–7+ years of professional experience in Data Engineering
• Hands-on experience with:
• Snowflake (production-level use, not just POCs)
• AWS (S3, RDS, Aurora, Lambda, SNS, SQS, EventBridge)
• Python for building ETL/ELT pipelines and Lambda functions
• SQL for data extraction, transformation, and querying
• Apache Airflow for orchestration (experience building DAGs in Python)
• Familiarity with GitHub Actions for CI/CD
• Understanding of infrastructure-as-code concepts; Terraform experience is a strong plus
• Strong critical thinking, problem-solving, and ownership mindset
• Ability to work independently, take initiative, and contribute to a collaborative team culture

Preferred Qualifications

• Experience with advanced analytics tools or working alongside data science teams
• Exposure to Snowflake Cortex, AI/ML features, or text-to-SQL functionality
• Background in industries with regulated data environments (e.g., retail, distribution, logistics)
• Prior experience enabling infrastructure modules in AWS via Terraform

Work Environment & Culture

The team is collaborative, hands-on, and passionate about delivering business value through data. There’s a strong emphasis on accountability, ownership, and continuous improvement. Engineers are empowered to manage their own infrastructure and contribute to high-impact initiatives from the ground up.

Additional Details

• Start Date: ASAP
• Benefits include 401(k) with company match, healthcare coverage, PTO, and more