Lead Data Engineer

🕒 July 30

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CampusWorks, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

CampusWorks, Inc. is a company that partners with institutions of higher education to solve challenges and improve student outcomes through strategic planning and technological solutions. They specialize in managed services, IT optimization, strategic planning, enterprise solutions, technology management, and staffing augmentation. CampusWorks offers tailored solutions to streamline operations, enhance efficiency, and align technology with institutional missions. Their services include AI enablement, enterprise system evaluations, staff augmentation, and shared services, among others. By focusing on meaningful relationships with campuses, they help institutions reach their full potential and foster a thriving educational environment.

📋 Description

• Build and maintain batch data pipelines that ingest from Workday (HCM, Finance, Student) and legacy source systems into the Bronze layer • Develop transformation logic across Bronze / Silver / Gold layers using Spark, Python, and SQL on Databricks • Model data for analytics consumption, balancing performance, reliability, and maintainability • Orchestrate and schedule workloads (e.g., Databricks Workflows, Azure Data Factory, or Fabric pipelines) and monitor them for reliability • Implement data-quality checks and validation within pipelines • Serve as senior technical lead on complex integrations and cross-institution data workstreams (Lead Data Engineer) • Define and enforce engineering standards, patterns, and best practices • Mentor and provide technical guidance and code review to other engineers

🎯 Requirements

• Data Engineer: 3–6 years building production data pipelines • Lead Data Engineer: 7–10 years, with demonstrated technical leadership • Hands-on expertise with Apache Spark, Python, and SQL in a Databricks environment • Experience designing and building medallion or layered data architectures (Bronze / Silver / Gold or equivalent) • Proven experience integrating data from multiple ERP / SIS / operational source systems into an analytics platform • Experience with batch pipeline orchestration and scheduling (Databricks Workflows, Azure Data Factory, or similar) • Working understanding of data governance, security, and access concepts in a shared or multi-tenant environment • Strong problem-solving skills with a consistent focus on data quality and reliability • Excellent communication and collaboration skills on a remote team • Bachelor’s degree in a technical field or equivalent practical experience

🏖️ Benefits

• Competitive pay • Robust benefits for full-time employees • Professional development opportunities • Flexibility for work-life balance • Charitable fundraising initiatives