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Data Engineer (Lead-level)

Mission Lane

$159,000 - $174,400
Apr 25, 2025
Remote, US
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Mission Lane is seeking a lead for their Data Engineering team to design, develop, and maintain complex data pipelines and drive best practices in software engineering.

Requirements

  • Expert-level SQL skills.
  • Strong Python programming skills.
  • Strong understanding of software engineering principles and best practices (e.g., version control, testing, CI/CD).
  • Extensive experience with data warehousing technologies, preferably Snowflake.
  • Experience with dbt (Data Build Tool).
  • Experience with cloud platforms, preferably GCP (Google Cloud Platform), including services like Cloud Functions, and GCS.
  • Experience designing and implementing reliable and resilient ETL/ELT pipelines.

Responsibilities

  • Design, develop, and maintain complex, high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP.
  • Lead the effort to advance code quality, test coverage, and maintainability of our data pipelines.
  • Champion and implement software engineering best practices, including code reviews, testing methodology, CI/CD, and documentation.
  • Drive the adoption of data observability tools and practices (e.g., data lineage, automated alerting).
  • Research, evaluate, and recommend new technologies and tools to improve our data platform.
  • Contribute to the data architecture and design of our data warehouse.
  • Troubleshoot and resolve complex data pipeline issues, ensuring data quality and reliability.

Other

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering.
  • Excellent communication, collaboration, and problem-solving skills.
  • Unlimited paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment.