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Data Engineer II

Butler Till

$79,000 - $111,000
Oct 16, 2025
Rochester, NY, US
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Data Engineer II is a role designed for individuals with a solid understanding and some hands-on experience in data engineering. This role involves taking ownership of larger data engineering tasks, designing solutions for moderately complex problems, and ensuring high-quality data pipelines and integrations.

Requirements

  • Proficiency in SQL and experience with relational databases.
  • Experience with cloud platforms (e.g., AWS) and data warehousing technologies (e.g., Snowflake).
  • Strong understanding of data integration techniques and ETL/ELT processes.
  • Ability to write complex code with a focus on optimization and scalability.
  • Strong attention to detail and ability to ensure data quality and integrity.
  • Experience with Python, big data technologies, and distributed data processing.
  • Familiarity with data visualization tools like Power BI.

Responsibilities

  • Independently design, develop, and maintain data pipelines and ETL processes for moderately complex data flows.
  • Write complex, efficient, and maintainable code to integrate data from multiple sources, ensuring scalability and performance.
  • Optimize and refactor existing code and pipelines to improve efficiency, reliability, and maintainability.
  • Troubleshoot and resolve more complex technical issues with data quality, pipeline performance, or integration challenges.
  • Ensure data quality, integrity, and security through monitoring, validation, and the application of best practices.
  • Automate and document data processes to improve efficiency and repeatability.
  • Collaborate on troubleshooting and resolving complex production data issues to ensure system reliability and availability.

Other

  • 2-5 of experience in data engineering or a related field.
  • Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • Excellent problem-solving skills with a focus on troubleshooting complex data issues.
  • Exposure to Agile development methodologies and tools (e.g., JIRA, Confluence).
  • Experience mentoring or coaching junior engineers.