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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