Associate Data Engineer
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.
- Compensation
- $100K–$120K / yr
- Location
- Centennial, CO
- Work setup
- Hybrid
- Seniority
- Junior
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 1–2+ years of hands-on experience in data engineering, business intelligence, data analytics, or software development
- Real, hands-on SQL coding experience in production
- Exposure to Python
- Exposure to databases such as Snowflake, Oracle, or SQL Server
- Resourceful problem solver
- Clear communicator
- Flexible and willing to pitch in on occasional weekend or after-hours work
- Documentation as part of the job, not an afterthought
Nice to have
- Familiarity with ETL/ELT tools like dbt, Fivetran, or Matillion
- Experience with BI platforms (Power BI, Qlik, Tableau, or similar)
Full description
Description
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.
Responsibilities
- 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.
Qualifications
- 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