Data Acquisition Engineer I

MedPro SystemsWharton, NJ
Onsite

About The Position

The Data Acquisition Engineer I is an entry-level engineering role responsible for supporting the reliable retrieval of raw data from external sources such as APIs, file transfers, partner systems, and web endpoints. This role focuses exclusively on executing and monitoring data acquisition jobs under guidance, learning source access patterns, and escalating failures appropriately. The Data Acquisition Engineer I plays a foundational role in the company’s data pipeline by ensuring external data is successfully acquired and delivered to downstream teams according to defined handoff expectations. This role reports to the Engineering Success & Growth Manager (ESGM) and is based in Mount Arlington, New Jersey.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • Basic proficiency in scripting languages such as Python.
  • Familiarity with APIs, file transfers (e.g., SFTP), and structured data formats (CSV, JSON, XML).
  • Strong attention to detail and willingness to learn data acquisition practices.
  • Openness to responsibly leveraging AI-assisted tools to improve productivity and data accuracy.

Responsibilities

  • Execute and monitor scheduled data acquisition jobs for APIs, file-based transfers, and web sources.
  • Assist in maintaining data acquisition scripts using established patterns and tooling.
  • Verify successful job execution and raw data delivery according to defined handoff expectations.
  • Escalate acquisition failures related to access, authentication, or source availability.
  • Document acquisition logic, source metadata, and delivery behavior.
  • Support onboarding new external data sources under guidance from senior engineers.
  • Follow data access, licensing, and compliance guidelines when sourcing external data.
  • Use AI-assisted tools responsibly to support data sourcing, collection validation, and documentation in alignment with security and data governance standards.
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