Associate Data Engineer
$100k - $120kcompany1324
Description Open Technology Solutions (OTS) is seeking an Associate Data Engineer. 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
Sponsorship not available. Position only available to those with legal authorization to work in the United States.
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.
- 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 incentive 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.
Vacancy posted 4 days ago
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