Associate Data Engineer
switchboard · Centennial, CO ·
- Work mode
- Hybrid
- Employment
- Full time
- Category
- Data engineering
- Experience
- 2+ years
- Visa sponsorship
- No
- Salary
- USD 100,000 – 120,000 / year
switchboard · Centennial, CO ·
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Associate Data Engineer building and optimizing data pipelines using SQL, dbt, and Python within a Snowflake stack. The role involves creating ingestion processes, transforming raw data for analytics, and maintaining technical documentation for a Credit Union Service Organization.
Switchboard is seeking an Associate Data Engineer on behalf of our client, Open Technology Solutions (OTS). This is an early-career role for someone with a year or two of hands-on SQL and data work who wants to grow into a full data engineer. You'll join a five-person data engineering team where you'll build SQL ingestion processes, create dbt models, document how things work, and learn the architecture behind a modern Snowflake data stack. If you've written real code in a BI, analytics, or developer role and you're ready to make the jump into data engineering, we want to hear from you.
About Open Technology Solutions
Open Technology Solutions (OTS) is a CUSO (Credit Union Service Organization) providing shared technology services to credit union partners. Built on a cooperative model, OTS delivers enterprise-grade IT infrastructure, support, and innovation to its partner organizations, allowing them to compete at a higher level while keeping costs in check. OTS operates with the values of a credit union at its core: member-focused, collaborative, and committed to long-term relationships over short-term wins.
Build, support, and optimize data pipelines using tools like Fivetran, dbt, and Python to move data between Snowflake, SaaS APIs, on-prem databases (Oracle, SQL Server), and other data stores.
Write and run SQL for data ingestion and transformation, and build dbt models that turn raw data into analytics-ready structures.
Support the design and implementation of data structures in Snowflake.
Help automate monitoring and alerting on data quality, pipeline health, and overall data infrastructure.
Create and maintain technical documentation for data products, processes, and lineage.
Research and recommend new tools and methods to improve how data is ingested, stored, and transformed.
Participate in scheduled weekend and after-hours maintenance windows and downtime testing as needed.
1–2+ years of hands-on experience in data engineering, business intelligence, data analytics, or software development
Real, hands-on SQL coding experience. You've written and run queries in production, not just read about them
Exposure to Python and databases such as Snowflake, Oracle, or SQL Server
Familiarity with ETL/ELT tools like dbt, Fivetran, or Matillion is a plus
Experience with BI platforms (Power BI, Qlik, Tableau, or similar) is a plus
Resourceful problem solver. You try to find the answer yourself first, and you know when to use your team
Clear communicator who's comfortable talking through your work and asking questions
Team-minded. You coordinate your work so teammates aren't left scrambling to review it at 9 p.m.
You see documentation as part of the job, not an afterthought
Flexible and willing to pitch in on occasional weekend or after-hours work
Compensation: $100,000–$120,000 base + 10% annual bonus target
Benefits: Medical, dental, and vision; 401(k) with fully vested match; PTO and holiday pay; FSA; life, short-term, and long-term disability; student loan paydown program; tuition reimbursement
Location: Englewood, CO. Hybrid, typically Tuesday–Thursday in office (Wednesdays required)
Schedule: Full-time, exempt, with occasional weekend and after-hours work for scheduled maintenance
Sponsorship not available. Position only available to those with legal authorization to work in the United States.
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