Senior Data Engineer

• Direct-Hire/ FTE - MUST be eligible to work direct on W2 without sponsorship
• MUST be willing to work ONSITE in Duluth, GA

PLEASE READ BELOW BEFORE APPLYING

Job Summary

The primary responsibility of the Senior Data Engineer is designing, building, and maintaining the organization’s data platform infrastructure to support analytics, data science, AI, and application teams. This role ensures reliable, secure, and efficient data flow across enterprise systems while maintaining a scalable and governed data architecture.

REQUIREMENTS:

• 6 - 8 years of experience in data engineering or related field
• Strong experience designing and maintaining production-grade data pipelines in cloud environments
• Advanced proficiency in SQL and query optimization
• Proficiency in Python for data processing and automation
• Experience with Snowflake platform administration and performance tuning
• Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
• Strong understanding of data modeling (dimensional modeling, schema design)
• Experience implementing data governance (RBAC, data quality, lineage, metadata)
• Familiarity with CI/CD practices and version control tools (Git)
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills with ability to translate technical concepts to business stakeholders

Key Competencies

• Technical Depth — Possesses advanced, hands-on expertise across the full data engineering stack; approaches platform problems with rigor and translates that depth into reliable, production-grade solutions.
• Platform Ownership — Takes end-to-end accountability for the health, performance, and evolution of the data platform; proactively identifies risks and drives resolution without waiting to be directed.
• Data Quality Mindset — Treats data as a product; consistently applies quality standards, governance practices, and documentation discipline to ensure platform consumers can trust what they receive.
• Stakeholder Partnership — Builds effective working relationships across technical and business teams; listens to understand needs, communicates transparently, and delivers solutions that address the underlying business problem.
• Problem Solving — Diagnoses complex pipeline failures, data anomalies, and performance issues methodically; brings structured thinking and creativity to both technical and process challenges.
• Adaptability — Thrives in dynamic, greenfield environments where priorities shift and patterns are still being established; comfortable with ambiguity and capable of making sound decisions with incomplete information.
• Collaboration — Works effectively across organizational boundaries; contributes generously to team knowledge sharing, documentation, and the success of adjacent teams.
• Continuous Improvement — Consistently looks for opportunities to improve platform reliability, engineering practices, and team effectiveness; stays current on relevant tools, frameworks, and industry patterns.

Compensation:

Salary range $140-150K + 5% bonus. Salary will vary dependent on years of experience, skill level, education, etc. Benefits provided by the company