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Analytics Engineer

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: NextPath Career Partners
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Analytics Engineer (5918)

Next Path Workforce Solutions is currently seeking a Analytics Engineer to join our client’s team in Raleigh, NC
. This is an Onsite,
Direct Hire position.

SALARY: $90,000 - $130,000 depending on experience

Unfortunately, at this time our client is unable to sponsor or transfer visas. Only candidates authorized to work in the US without sponsorship should apply.

REQUIREMENTS:

  • 5+ years of experience in analytics engineering, business intelligence, or data engineering
  • Advanced proficiency in SQL, including complex transformations and aggregations
  • Strong hands-on experience with dbt, covering model development, refactoring, documentation, sources, and tests
  • Deep understanding of analytical data modeling concepts and best practices
  • Ability to translate business concepts into structured, analytics-ready data models
  • Excellent communication skills to explain data logic in business terms
  • Experience working in a modern analytics stack (cloud data warehouse, dbt, BI tools)
  • Familiarity with data governance concepts such as data definitions, lineage, and stewardship

RESPONSIBILITIES:

  • Own and steward the dbt analytics project, including organization, naming, testing, and documentation
  • Manage the analytics transformation layer to ensure reliable, scalable data models
  • Collaborate with Data Engineering on upstream pipelines and data shaping to support analytics needs
  • Define and implement trusted business logic, including dimensions, facts, and shared metrics
  • Build and maintain performance-driven analytics models in dbt based on business requirements
  • Embed data quality rules and validation logic into dbt models
  • Apply dimensional modeling best practices to support reporting consistency
  • Document models thoroughly, including descriptions, lineage, and assumptions
  • Support the development of shared metrics and ensure consistency across analytics
  • Participate in code reviews, testing, and deployment workflows to ensure quality

We are an Equal Opportunity Employer

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