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Senior Business Intelligence & Analytics Engineer

Upland Capital Group LogoUpland Capital Group
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Salary

$120,000 - $135,000

Location

Remote - Dallas, TX

Posted

Today

Upland Capital Group is seeking a Senior Business Intelligence & Analytics Engineer to be a technical expert within our growing Data organization. This is a high-impact, hands-on role responsible for continued building and maintaining of our data platform, architecting scalable, well-governed data models, and delivering analytics solutions that directly influence underwriting, claims, and executive decision-making.

You will provide technical mentorship, guide best practices across SQL, dbt, and BI development, and act as a key partner to cross-functional leaders. Senior Engineers at Upland are expected to operate with significant autonomy-owning complex projects end-to-end, elevating data quality standards, and contributing to the long-term design of our data platform.

The ideal candidate

  • Operates with mature technical judgment and strong business acumen
  • Leads others through influence, mentorship, and exceptional communication
  • Thrives in a fast-paced, evolving environment
  • Thinks in systems - comfortable owning platform architecture, not just individual models
  • Drives innovation, standardization, and continuous improvement
  • Sets a high bar for accuracy, documentation, and data governance

Duties and responsibilities

  • Design, develop, and maintain core layers of the data platform, including ingestion, transformation, and semantic layers.
  • Support the reliability and timeliness of recurring reporting cycles that depend on the data platform
  • Design, build, and optimize scalable dbt models, data marts, and analytics layers
  • Write, optimize, and review complex SQL with a focus on performance, reliability, and maintainability
  • Build and maintain Sigma data models, workbooks, and self-service analytics solutions
  • Apply engineering rigor - testing, CI/CD, version control - to analytics development
  • Translate complex business requirements into well-designed analytical solutions
  • Lead code reviews, enforce modeling and naming standards, and mentor engineers and analysts on the team
  • Proactively identify and resolve data quality, modeling, and pipeline performance issues
  • Contribute to analytics engineering standards, documentation, and long-term architecture decisions
  • Additional responsibilities as needed

Other essential duties

  • Troubleshoot and resolve platform and pipeline issues affecting downstream consumers
  • Follow internal data governance, documentation, and security standards
  • Represent the team in strategic discussions related to process improvements
  • Participate in team retrospectives and process improvements
  • Keep documentation current as dashboards and pipelines evolve
  • Drive cross-functional initiatives to expand the company’s data maturity
  • Stay updated on tools used by the team (e.g., dbt, Sigma, Snowflake, Azure)
  • Contribute to a team culture that values clarity, curiosity, and follow-through

Experience, education, special skills required

  • 5+ years of professional experience in analytics engineering, data engineering, data platform development, or a related field
  • Bachelor's degree in related field
  • Insurance industry experience preferred but not required
  • Advanced proficiency in SQL and data modeling
  • Strong expertise with dbt and Snowflake; working knowledge of Python
  • Advanced experience with a modern BI platform; hands-on Sigma Computing experience strongly preferred
  • Demonstrated experience leading complex analytics initiatives with solid problem-solving skills
  • Strong communication skills with both technical and non-technical teammates
  • Bachelor’s degree in a technical or quantitative field (or equivalent experience)

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