Data Engineer
Role details
Job location
Tech stack
Job description
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.
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, 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.
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
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
Benefits & conditions
What we offer:
- 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
Why join Ericsson?
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., 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 (select if STV): Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.
Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: 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.
Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits.
Your Time Your work-life balance is important to us. New employees are provided 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. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay., Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.", "datePosted": "2026-03-09T09:52:20.000Z", "validThrough": "2026-04-09T20:52:49.000Z", "url": "https://www.dice.com/job-detail/cd1b1409-9c09-42d9-8a4a-7115038e6d1a", "identifier": {"@type": "PropertyValue", "name": "Ericsson Inc.", "value": "cd1b1409-9c09-42d9-8a4a-7115038e6d1a"}, "hiringOrganization": {"@type": "Organization", "name": "Ericsson Inc.", "sameAs": "https://www.dice.com/company-profile/d0f03998-b07d-42b1-819b-1253d4da038a", "logo": "https://assets.dice.com/external/images/empLogos/69492largeLogo.gif"}, "applicantLocationRequirements": {"@type": "Country", "name": "USA"}, "jobLocation": {"@type": "Place", "address": {"@type": "PostalAddress", "addressLocality": "Plano", "addressRegion": "TX", "postalCode": "75023", "addressCountry": "US"}}, "employmentType"