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RevSpring, Inc Logo

Senior Data Engineer - Analytics

RevSpring, Inc

Salary not specified
Nov 10, 2025
Remote, US
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RevSpring is looking to solve the problem of delivering reliable, scalable, high-performing customer-facing analytic services within analytic SLAs, empowering business teams and customers with AI-assisted insights without dependency on engineering.

Requirements

  • Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.
  • Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
  • Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
  • Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.
  • Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
  • Experience with cloud services such as AWS, Azure, GCP.
  • Experience in developing large scale data models and complex data pipelines.

Responsibilities

  • Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse
  • Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern
  • Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.
  • Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe
  • Provide feedback and participate in pair programming exercises.
  • Consistently deliver high quality code that is easily maintained and scaled.
  • Contribute to the team culture where innovation, autonomy, and accountability thrive

Other

  • Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
  • Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for
  • Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
  • Ability to write reports, business correspondence and procedure manuals.
  • Ability to effectively present information and respond to questions from a variety of both internal and external sources.