Sr. Data Engineer

• Role: Senior Data Engineer
• Location: Shelton, Connecticut, United States (On-site)
• Payout: $119,200 – $149,000 annually

• Role Overview
• We are seeking a Senior Data Engineer to design, develop, and optimize scalable data pipelines and enterprise data integrations that support business-critical analytics and system integrations. This role partners with cross-functional teams to deliver reliable cloud-based data solutions while ensuring high standards for data quality, governance, and performance.

• Key Responsibilities
• Design and develop scalable, high-performance data pipelines and system integrations.
• Build reliable and resilient data integration solutions in collaboration with cross-functional project teams.
• Partner with business stakeholders and Product Owners to define requirements, provide technical guidance, and estimate delivery efforts.
• Develop automated testing and deployment processes for data pipelines and integrations.
• Provide database support, troubleshoot issues, and resolve technical problems related to enterprise data platforms.
• Create and maintain technical documentation, including data flow and data lineage documentation.
• Support production environments by providing Tier 3 operational support and troubleshooting data quality issues.
• Ensure enterprise data quality by analyzing, monitoring, and resolving warehouse and data mart issues.
• Mentor junior engineers through code reviews and technical guidance.
• Implement data governance and master data management principles throughout data pipeline development.

• Required Skills & Qualifications
• Bachelor's degree in Computer Science, Information Science, or a related field, or an equivalent combination of education and experience.
• 5–8 years of experience building enterprise data pipelines and system integrations, including at least 3 years in a cloud environment.
• Hands-on experience with Databricks (Delta Lake, Unity Catalog) or Snowflake (Iceberg Tables, Horizon Catalog).
• Strong knowledge of lakehouse architecture, Medallion Architecture, ETL/ELT orchestration, and data modeling techniques.
• Proficiency in PySpark, advanced SQL, and Python for data engineering and automation.
• Experience with Airflow, Databricks Lakeflow, Snowflake Openflow, dbt, CI/CD pipelines, Git, and DevOps practices.
• Knowledge of AWS, Azure, or Google Cloud Platform services supporting modern data platforms.
• Experience with data governance, security, performance optimization, streaming or batch processing, and AI/ML enablement technologies.
• Strong communication skills with the ability to collaborate across technical and business teams.
• Must be legally authorized to work in the country where the position is based.

• More About the Opportunity
• This opportunity offers the chance to work on modern cloud-based data platforms, build scalable enterprise data solutions, and contribute to high-impact initiatives that support analytics, integration, and data-driven decision-making while collaborating with experienced engineering teams.

• Equal Opportunity Employer
• We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!