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Senior AI Analytics Engineer

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Ericsson

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Location:
United States , Boise, Idaho or Plano, Texas

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

This role is a hybrid position with the expectation to work onsite (3) three days a week in the Ericsson office located in either Boise, Idaho or Plano, Texas and relocation is not offered for this position. We are looking for a Senior Data Engineer to join our 4-person Finance AI & Analytics team as a foundational technical hire. You will own the end-to-end data pipelines and transformation layer that power our AI agents and enable reliable, insight-ready data for finance leadership. This is a high-ownership role with direct visibility to the CFO and senior finance stakeholders. You will work closely with an Analytics Engineer and Data Analyst, reporting to the Head of Finance AI & Analytics.

Job Responsibility:

  • Design, build, and maintain ELT pipelines that move data from finance source systems into Snowflake
  • Develop and own dbt models that transform raw data into clean, reliable, business-ready datasets
  • Integrate new finance data sources
  • Ensure data quality, reliability, and governance across the finance data layer
  • Support and expand Crystal, our Finance AI Agent, by building the data foundation it depends on
  • Collaborate with the Analytics Engineer to align on data modeling standards and best practices
  • Identify data pipeline gaps and proactively resolve them without being directed to
  • Contribute to the team's data infrastructure roadmap and technical decision-making

Requirements:

  • Advanced SQL and Python -- you are comfortable writing complex queries and scripts from scratch
  • Hands-on experience building and owning ELT/ETL pipelines end-to-end
  • dbt (data build tool) for data transformation and modeling
  • Fivetran or equivalent ELT platform
  • Snowflake or a comparable cloud data warehouse
  • Proven ability to work autonomously with minimal technical oversight
  • Self-starter mentality -- you identify problems and solve them without waiting to be asked

Nice to have:

  • Finance domain knowledge -- FP&A, billing, revenue, or OPEX data
  • Experience supporting AI or ML data pipelines
  • VBA coding experience
  • Claude code or equivalent AI coding tools
  • Building ML models
  • Background on a small data team where you wore multiple hats
  • Familiarity with Salesforce data structures and data quality challenges
What we offer:
  • subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution
  • 401(k) plan has a 4% company match and immediate vesting
  • company-paid employee basic life and AD&D insurance and company-paid disability benefits
  • minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually
  • up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay
  • comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off

Additional Information:

Job Posted:
April 11, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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