16 часов назад
Lead Data Engineer (Databricks)
120 900 - 187 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Databricks): Leading data engineering build teams and a Center of Excellence in designing, building, testing, and operating streaming analytical pipelines with an accent on Databricks governance, reusable frameworks, and engineering standards. Focus on Spark performance and platform cost optimization, CI/CD, data quality testing, AI/ML capabilities, and replacing legacy analytical platforms.
Location: Remote applicants must reside in Virginia, North Carolina, Washington DC, or Maryland. Applicants within 50 miles of the Richmond or Lynchburg offices must work hybrid in-office on Tuesdays, Wednesdays, and Thursdays.
Salary: $120,900–$187,000 annual base salary, plus eligibility for a performance-based bonus incentive plan.
Company
provides guidance, products, and services that help families navigate aging, care, life, and long-term-care needs.
What you will do
- Lead 3–4 data engineering build teams through technical direction, coaching, mentoring, and governance.
- Design and build reusable coding frameworks, proof-of-concept solutions, and shared data assets.
- Establish engineering, design, coding, code review, and delivery standards across teams.
- Lead CI/CD improvements and develop reusable data tests for future releases.
- Drive Spark performance optimization, Databricks feature adoption, and platform cost optimization.
- Oversee production monitoring, troubleshooting, defect resolution, and the full software development lifecycle.
Requirements
- 3–5 years of hands-on Databricks experience.
- Proven Tech Lead experience leading developers and decomposing and distributing work.
- Experience with data governance, reporting and dashboards, source systems, analytics, data warehousing, and modern data engineering.
- Experience working in Agile frameworks and writing high-quality user stories.
- Strong communication, mentoring, stakeholder alignment, and ambiguity-management skills.
- This role is not eligible for employment visa sponsorship.
Nice to have
- Azure and Microsoft Fabric experience.
- Insurance industry business process and data knowledge.
- Medical data experience.
- Familiarity with data governance and data quality requirements for business consumers.
Culture & Benefits
- Mission-driven organization focused on supporting families, policyholders, employees, and local communities.
- Comprehensive healthcare coverage, disability, life, and long-term-care insurance.
- 401(k) savings plans and an employer-funded retirement account feature.
- Paid time off, 12 paid holidays, volunteer time off, and paid family leave.
- Tuition reimbursement, student loan repayment, and training and certification support.
- Wellness, caregiver, mental health, financial, and legal support resources.
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