Data Engineer I

About the role

Servco’s Data Engineers help ensure the organization has trusted, reliable data to support business decisions. This includes acquiring data from internal systems and external APIs, then transforming, modeling, and curating it for analytics, reporting, AI, and other data‑driven solutions. The role requires foundational DataOps knowledge and the ability to contribute in a cloud‑first, code‑first, agile environment. The Data Engineer I works with tools such as Databricks, Python, SQL, data orchestration, warehousing, and cloud‑native technologies while developing clean, efficient, well‑documented coding practices. The ideal candidate brings curiosity, creative and critical thinking, and a strong interest in building quality data solutions, is motivated to learn how data moves across the organization, and contributes to the reliability of Servco’s core data infrastructure. As a Level I Data Engineer, the individual develops a working understanding of Servco’s technical systems, business operations, and related dependencies, performing core responsibilities with increasing independence while receiving guidance, mentorship, and review. This junior‑level role is for someone eager to learn, seek feedback, and grow into a long‑term data engineering career aligned with Servco’s AI‑first future, supporting data quality, availability, and trust across the organization to enable better decisions and strategic, data‑driven and AI‑enabled outcomes.

Responsibilities

• Contribute to the design, development, and maintenance of data pipelines that move data from source systems to storage and processing environments.
• Assist with logical and physical data structures that support organizational reporting, analytics, warehousing, and cloud storage needs.
• Support reliable data integration across systems, applications, and departments.
• Help ensure data is accurate, complete, secure, and usable by the organization.
• Monitor and improve the performance of data pipelines and storage systems with guidance.
• Assist with deployment, maintenance, and documentation of data infrastructure.
• Participate in planned maintenance and provide occasional after‑hours support for business‑critical data operations, production incidents, and monitoring alerts.
• Support expectations, escalation procedures, and any on‑call rotation will be communicated in advance whenever practicable.
• Partner with Analytics Engineers to support downstream analytics, reporting, and data quality needs.
• Monitor the health and performance of assigned infrastructure components, including cloud services, data pipelines, and related applications.
• Explore, test, and apply new tools or methods that may improve analytics and data processing capabilities.
• Contribute to data governance and stewardship by supporting data quality, completeness, security, and compliance standards.

Qualifications

• Bachelor’s in Computer Science, Information, Data Science, Business Analytics or Information Management preferred; equivalent education and experience may be considered.
• 1–2 years of experience in an individual contributor capacity, with exposure to: