Senior Data Engineer

EAB•Richmond, VA

About The Position

The Senior Data Engineer for Navigate360 leads the team responsible for implementing Navigate360 data integrations across partner campuses. The role oversees delivery for Navigate Student Success and helps define scalable implementation practices for newer Navigate Enrollment CRM and Advancement CRM offerings. It combines people leadership, technical and operational judgment, and a partner-first approach to help campuses achieve successful, durable implementations. Working across data, product, and customer outcomes, the Senior Data Engineer establishes operating processes, removes barriers, and ensures the team delivers reliable integrations. The position is ideally based in EAB’s Washington, D.C. or Richmond, Virginia office, and is also open to remote work within the continental United States. Quarterly travel to EAB’s central office in Washington, D.C., and occasional partner visits may be required; current travel is not expected to exceed 12 days per year. The opening is also posted at the Director, Data Engineer level, with candidates considered at both levels.

Requirements

  • Bachelor’s degree in a related field or equivalent work experience.
  • At least 4 years of database programming experience, including advanced SQL.
  • At least 2 years leading, managing, or serving as a team lead for data engineering teams.
  • Experience delivering data integration, warehousing, or analytics solutions in partner-facing or customer implementation environments.
  • At least 2 years of Python programming experience for relational data management, including commonly used data-management libraries.
  • Deep understanding of data flows across systems, including ETL pipelines, data mapping, validation, and reconciliation.
  • Demonstrated ability to solve complex technical and partner challenges, make sound decisions, and unblock teams.
  • Experience ensuring data integrity through standard rules, procedures, testing, validation, and quality controls.
  • Strong organization, process orientation, and ability to manage multiple priorities in a changing environment.
  • Strong written and verbal communication skills.

Nice To Haves

  • Master’s degree in a related field or equivalent work experience.
  • Experience working directly with external partners and executive stakeholders to solve problems, build trust, and drive successful implementations.
  • Practical knowledge of data warehouse design, scalable data pipelines, integrations across platforms, and complex stored procedures.
  • Experience leading teams through growth, change, and continuous improvement, including developing repeatable operating processes.
  • Ability to collaborate across Product, Launch, Partner Success, and technical teams to achieve shared partner outcomes in a fast-paced environment.
  • Commitment to continual learning and to a dynamic, welcoming culture of fairness, authenticity, and belonging.

Responsibilities

  • Lead, coach, and develop a team of data engineers implementing Navigate modules for partner campuses; set expectations, priorities, and delivery standards.
  • Own the implementation approach for Navigate Student Success and help define scalable delivery practices for Navigate Enrollment CRM and Advancement CRM.
  • Establish repeatable processes, playbooks, and quality controls for consistently delivering high-quality data integrations at scale.
  • Resolve partner-facing and technical challenges during implementations, escalating and coordinating decisions as needed to protect partner outcomes.
  • Partner with Product on data-integration issues, requirements, and product enhancements that improve implementation quality and the partner experience.
  • Collaborate with Launch and Partner Success teams to align implementation plans, manage risk, and support successful partner adoption and outcomes.
  • Guide solution design for integrations, data mapping, validation, reconciliation, and data quality across Navigate implementations.
  • Oversee delivery planning, capacity, and project health across the team; manage competing priorities and drive predictable execution.
  • Promote technical excellence through mentoring, code and design reviews, documentation, and continuous improvement of team practices.
  • Represent the Data Engineering team with internal and external stakeholders, clearly communicating progress, tradeoffs, risks, and recommendations.

Benefits

  • Medical, dental, and vision insurance plans; dependents and domestic partners are eligible.
  • 20+ days of PTO annually, in addition to paid firm and floating holidays.
  • Daytime leave for community service and flextime for fitness activities, up to 10 hours per month each.
  • 401(k) retirement savings plan with an annual discretionary company matching contribution.
  • Health savings account, healthcare and dependent care flexible spending accounts, and pre-tax commuter plans.
  • Employee assistance program with counseling services and resources for employees and immediate family.
  • Wellness programs, including gym discounts, healthy-living incentives, and family access to a sleep, meditation, and relaxation app.
  • Fertility treatment coverage and adoption or surrogacy assistance.
  • Paid parental leave with a phase-back-to-work program for birthing and non-birthing parents.
  • Milk shipping service for nursing employees during business travel.
  • Discounted pet health insurance for dogs and cats.
  • Company-provided life, AD&D, and disability insurance.
  • Financial wellness resources and membership in an employee discount program.
  • Access to employee resource groups, merit-based advancement, and professional growth opportunities.
  • Benefits begin on the first day of employment.
  • Eligibility for discretionary bonus or incentive compensation.
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