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Data Engineer

Data Engineer

United States Olympic and Paralympic CommitteeColorado Springs, CO, US
22 days ago
Job type
  • Full-time
Job description

Description

Are you mission-driven and passionate about helping others succeed?

Do you strive to lead, follow, and act with integrity?

Are you the one who honors your commitments?

Is building trusting relationships an integral part of why you do what you do?

Do you push limits and challenge the status quo?

If you answered YES , keep reading to discover how you can significantly contribute to Team USA's success!

Here's a summary of responsibilities :

The Data Engineer is responsible for designing, building, and maintaining the technical foundations of the USOPC’s enterprise data ecosystem. This role develops modern data solutions that combine scalable pipelines with flexible integrations, ensuring data flows seamlessly across systems and into platforms that power reporting, analytics, and operations. The engineer ensures that data is reliable, high-quality, and accessible, enabling both actionable insights and interoperability across the enterprise.

The ideal candidate will bring deep technical expertise in modern data engineering and integration practices, strong problem-solving skills, and the ability to collaborate with both technical and business stakeholders. This role is essential to advancing the USOPC’s enterprise data strategy and enabling data-driven decision making across the organization.

Here’s how you’ll have an impact :

Architecture & Engineering

  • Design, develop, and maintain efficient and scalable data pipelines and API-driven integrations that ingest, transform, and exchange data across enterprise systems, applications, and external partners.
  • Build and maintain data models, schemas, and architectures to support analytical needs, reporting requirements, and operational integrations.
  • Write high-quality code to architect custom, flexible integration frameworks for internal applications and third-party systems.
  • Implement solutions leveraging ETL / ELT frameworks, orchestration tools (Airflow, dbt, Prefect), and integration patterns (batch, real-time, event-driven).
  • Optimize pipelines, integrations, and data services for performance, scalability, and maintainability.
  • Monitor pipeline and integration health; proactively troubleshoot data quality, delivery, or connectivity issues.

Data Quality, Governance, & Security

  • Ensure accuracy, consistency, and reliability of both analytical datasets and transactional integrations through validation and monitoring frameworks.
  • Implement robust error handling, reconciliation, and retry logic to maintain data integrity in system-to-system flows.
  • Adhere to data governance, security, and compliance requirements, including authentication and authorization standards (OAuth, SAML, JWT).
  • Partner with data owners and system owners to align on definitions, integration rules, and stewardship practices.
  • Document pipelines, integrations, APIs, and architectures for maintainability and transparency.
  • Collaboration & Communication

  • Partner with analysts, data scientists, system owners, and business stakeholders to deliver solutions that meet both analytical and operational integration needs.
  • Translate business requirements into technical specifications for data pipelines and integrations.
  • Provide consultation on data access, pipeline enhancements, system connectivity, and API usage.
  • Participate in cross-functional initiatives to align engineering with enterprise data strategy and evolving business needs.
  • Innovation & Continuous Improvement

  • Stay current on emerging data engineering and integration technologies (cloud platforms, APIs, middleware, event-driven frameworks).
  • Identify opportunities to automate workflows, reduce manual data handling, and improve system interoperability.
  • Pilot and evaluate new tools (e.g., Snowflake features, dbt, MuleSoft, Airbyte, Kafka) to improve delivery speed and reliability.
  • Foster a culture of knowledge-sharing, reusability, and experimentation within the engineering team.
  • Perform other duties as assigned.

    Here are the skills and experience you'll need to be effective :

  • Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • 3–5+ years of experience as a Data Engineer or in a similar role, with a strong understanding of data architecture, integration patterns, and database management.
  • Hands-on experience designing, developing, and maintaining pipelines and integrations in cloud environments (e.g., Snowflake, AWS, GCP, Azure).
  • Experience with ETL / ELT frameworks and orchestration tools (e.g., Airflow, dbt, Prefect) and API-based integrations (REST, SOAP, GraphQL).
  • Proficiency in SQL and at least one programming language such as Python, Java, or C#, with strong coding practices for scalable and resilient solutions.
  • Familiarity with data governance, security, and compliance standards, including authentication / authorization methods (OAuth, JWT, SAML).
  • Strong track record of collaboration across technical and business teams, with the ability to translate requirements into practical solutions.
  • Experience with data visualization tools (e.g., Tableau, Power BI) preferred.
  • Experience in the sports industry or with sports-related data is a plus.
  • Ability to design and optimize pipelines, integrations, and queries for performance and maintainability.
  • Excellent problem-solving and analytical skills, with a detail-oriented and proactive mindset.
  • Strong communication and teamwork skills, with the ability to work effectively in a collaborative, cross-functional environment.
  • Adaptability and eagerness to learn new tools, frameworks, and integration patterns.
  • Commitment to maintaining high-quality, reliable data and integrations that support enterprise-wide use.
  • Ability to effectively prioritize and execute tasks in a fast-paced, high-pressure environment.
  • Passion for contributing to the mission of supporting athletes and advancing Olympic and Paralympic sport across the United States.
  • Here are the tools, equipment, & conditions :

  • Standard office equipment, including telephone, personal computers, and other equipment related to database administration
  • Office equipment in a multi-level building on a multi-building site
  • Occasional domestic and international travel
  • Here's where you'll work :

    Colorado Springs Downtown Headquarters / Hybrid

    Here's some more information you need to know :

  • Hiring pay range $80,000 - $90,000 per year
  • This Full-Time, Exempt position is intended to work 40 hours per week.
  • Bonus : This position will be eligible for the Annual Incentive Award Program, which has a 10% target. The USOPC may change or eliminate this program at any time at its sole discretion.
  • Benefits : This position will be eligible for USOPC benefits. You can view a summary  here .
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    Data Engineer • Colorado Springs, CO, US

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