Senior Data Engineer

Role Overview

Senior Data Engineer responsible for designing, building, and maintaining scalable data pipelines and data infrastructure for the firm’s enterprise analytics and reporting platform.

Responsibilities

• Design and implement robust, scalable ETL/ELT pipelines across multiple SQL Server environments and cloud platforms
• Collaborate with architects, analysts, and business stakeholders to translate data requirements into technical solutions
• Optimize data workflows for performance, reliability, and cost-efficiency
• Ensure data quality, integrity, and security using validation, monitoring, and governance practices
• Maintain and evolve data models, schemas, and metadata for analytics and reporting
• Automate ingestion, transformation, and deployment using CI/CD and orchestration (e.g., Airflow, Azure Data Factory)
• Troubleshoot and resolve data issues; ensure high availability and performance
• Mentor junior engineers and contribute to best practices and standards

Requirements

• 5+ years of experience in data engineering or related roles
• Strong proficiency in SQL, data warehousing, and performance tuning
• ETL tools/frameworks experience (e.g., SSIS, dbt, Apache Spark, Azure Data Factory)
• Familiarity with cloud data platforms (e.g., Azure, AWS, GCP)
• Data modeling and governance knowledge (e.g., star/snowflake schemas, data lakes)
• Proficiency in Python or Scala (or similar) for data processing
• Version control and CI/CD experience (e.g., Git)
• Strong communication skills and ability to work with stakeholders at all levels
• Ability to work independently and as part of a team

Nice-to-Haves

• College degree strongly preferred (Computer Science, Data Science, Information Systems, or related)
• Technical certifications preferred
• Experience with modern data platforms (e.g., Microsoft Fabric)

Additional Notes

• Workplace type: Remote
• Salary range: $126,000 – $158,000 (depends on location and experience).