Junior Data Engineer

United States Soccer Federation 1•Remote - Atlanta, GA

20h

About The Position

U.S. Soccer is seeking a Junior Data Engineer to support strategic technology projects. This individual will join U.S. Soccer’s growing product team and support scalable data warehouse solutions, integrate new systems with existing infrastructure, manage our identity resolution process, and align data ingestion with business objectives. This position reports to the Vice President of Engineering.

Requirements

0-2 years experience with cloud-based BI and data solutions (AWS preferred)
Proven experience operating production pipelines
Strong foundation in Python and SQL
Bachelor's degree in computer science or related field
Strong experience delivering reliable data sets for BI, analytics, and data science—with real ownership of data quality, testing, and documentation
Excellent problem-solving skills and attention to detail.
Experience working with relational and dimensional data models
Must be a self-starter comfortable working in a fast-paced, flexible environment, and take the initiative to learn new tools and concepts quickly
General knowledge of soccer
Must be able to connect “micro” details to the “macro” vision and mission
Proficient experience with Microsoft Suite (Word, PowerPoint, Excel, and Outlook)

Nice To Haves

Experience utilizing Prefect for data orchestration
Experience managing data warehouses in AWS Redshift
A background in, and passion for, soccer, sports and/or entertainment is preferred
Familiarity with Salesforce data structure and concepts
Ability to handle multiple projects, tasks, and priorities
Collaborative, team-player with a results-driven mindset
Must be able to connect “micro” details to the “macro” vision and mission

Responsibilities

Integrate new data sources and ensure seamless data flow and accessibility across the organization.
Implement and manage Extract, Transform, and Load (ETL) processes to move data from various sources into the warehouse.
Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement.
Ensure the accuracy, integrity, and security of data within the warehouse, establishing policies and auditing regularly.
Monitor and optimize database and system performance, troubleshooting issues to ensure efficiency.
Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
Assist with our in-house unification process and all downstream data integrations.
Collaborate with engineers, analysts, and other stakeholders to ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes.