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Senior Analytics Engineer

Forward Financing · United States · Dominican Republic · Canada · Remote

  • Financial Services & Banking
  • 501–1,000 employees
  • Boston, Massachusetts
4545

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Open 123 days · How we score

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  • Open 123 days
  • Barely describes the job

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Responsibilities

  • Design, develop, and optimize scalable dimensional data models and marts using dbt
  • Build and extend Forward's semantic layer and metrics standards
  • Help deliver the data foundation that powers AI at Forward
  • Advance Forward's data centralization vision
  • Act as the primary liaison with the Data Science team
  • Collaborate closely with the Data Engineering team
  • Partner with the Core Technology teams on internal application schema changes
  • Collaborate with the DevOps team to monitor, maintain, and contribute to streaming pipelines
  • Elevate team code quality by serving as a technical reviewer
  • Evaluate, integrate, and operationalize high-value third-party data sources
  • Champion data governance and quality across the data platform

Requirements

  • 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence
  • 2+ years of hands-on experience developing and maintaining production-level data transformation pipelines using dbt or equivalent scripting experience in Python
  • 2+ years of experience with a cloud-based data warehouse such as Snowflake or Redshift
  • Advanced proficiency in SQL and dimensional data modeling
  • Demonstrated strong ability to quickly translate complex business needs and ambiguous requirements into robust, scalable technical data solutions

Preferred

  • Hands-on experience with Python for data scripting, automation, or predictive modeling support
  • Experience designing or contributing to a semantic layer / metrics layer that serves as an organizational source of truth
  • Experience building data products that support AI, LLM, or agent-based applications
  • Familiarity with streaming/CDC pipelines (Streamkap, Fivetran, Kafka)
  • Experience in fintech, lending, or another regulated, data-intensive industry

Skills

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