Senior Data Engineer
Listed on 2026-03-11
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Software Development
Data Engineer
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.
What you will do- 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
Required skills:
- 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
Preferred skills:
- 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
- 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
At Ericsson, you’ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what’s possible. To build solutions never seen before to some of the world’s toughest problems. You’ll be challenged, but you won’t be alone. You’ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Whathappens once you apply?
to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city: United States (US) || Boise () (Country/ City)
Job details: IT Data Engineer
Compensation And Benefits At Ericsson
At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.
Your Pay
The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.
Short-Term Variable Compensation Plan:
Your pay also includes the…
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