Senior Data Engineer

Ericsson•Boise, ID

13h•Hybrid

About The Position

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. Ericsson Enterprise Wireless Solutions Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1’s working on EAD for this position. Ericsson Business Enterprise Wireless Solutions (BEWS) is the division behind Cradlepoint, the global leader in cloud-delivered LTE and 5G wireless network edge solutions for enterprises. BEWS serves customers across industries including retail, transportation, government, and healthcare, delivering the connectivity infrastructure that keeps businesses running. Within BEWS, the Finance AI & Analytics team is a newly formed, high-impact group driving AI transformation across the finance organization. We build the data infrastructure, AI agents, and analytics capabilities that power financial decision-making at Ericsson -- including Crystal, our internal Finance AI Agent built on Snowflake Intelligence. 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.

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 Haves

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

Responsibilities

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

Benefits

Ground floor of a high-visibility AI and finance transformation initiative
Direct exposure to the CFO and senior finance leadership
Small team with outsized ownership -- your work is seen and felt immediately
Modern data stack with room to help shape it
Clear growth path into Staff Data Engineering, Data Architecture, or AI/ML Engineering
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.
A 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.