Data Engineer

Responsibilities

• Lands data from authoritative sources into the team's unified ingestion framework using the patterns specified in the design.
• Implements the data contracts, models, and transformations sometimes independently and sometimes as specified by the Senior Data Engineer.
• Builds pipelines in Snowflake (including Iceberg tables) and/or Databricks (Delta Lake) per the storage pattern in the design.
• Implements testing, data quality checks, and reconciliation.
• Builds the Fabric semantic layer assets and Power BI visualizations called for in the design.
• Operates and maintains the data products after delivery.

• Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field plus 4+ years of related work experience.
• Must be located in the United States.
• 4+ years of hands‑on data engineering experience delivering production data pipelines in enterprise environments.
• Strong proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation.
• Hands‑on experience with Databricks including Delta Lake, Unity Catalog, and workflow orchestration.
• Hands‑on experience with Snowflake at production scale.
• Working experience with Microsoft Fabric including One Lake; familiarity with Fabric IQ semantic layer concepts.
• Working experience building data visualizations and reports in Power BI.
• Experience implementing data ingestion pipelines using batch, CDC, API, or streaming patterns within a unified ingestion framework.
• Solid data modeling skills, including dimensional modeling and lakehouse modeling patterns at the physical implementation level.
• Experience implementing pipeline testing unit tests, integration tests, data quality checks, and reconciliation.
• Experience with Dev Ops practices for data pipelines Git, CI/CD, and automated testing.
• Good communication skills, with the ability to convey technical progress and ask clarifying questions of both technical leads and business stakeholders.
• Strong problem‑solving skills and the ability to execute independently on well‑defined technical work in a fast‑paced, agile environment.

• Experience with Iceberg tables or other modern open table formats.
• Experience with HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, Service Now HR, or comparable HR systems of record as authoritative sources for analytics.
• Exposure to real‑time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Familiarity with legacy data platforms such as Teradata, Oracle, or SQL Server.
• Azure certifications or demonstrated experience with Azure‑native data platform services.
• Familiarity with data privacy and regulatory compliance for HR data (GDPR, CCPA, employee data protection).

Washington, United States

$68,000 – $102,000 annually

Full‑time regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro‑rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. Employees and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as basic life insurance, accidental death and disability insurance, and short‑ and long‑term disability benefits.

Regular employees may purchase additional voluntary short‑term disability benefits and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. UST will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.

UST reserves the right to periodically redefine roles and responsibilities based on the requirements of the organization and/or performance.