
Senior Analytics Engineer
Forward Financing · United States · Dominican Republic · Canada · Remote
- Financial Services & Banking
- 501–1,000 employees
- Boston, Massachusetts
All reasons
- Open 123 days
- Barely describes the job
In its favour
- Still listed on the employer's own board
- Publishes a salary range
- Someone has already applied through it
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
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
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