Data Engineer I responsible for supporting AI solutions in Consumer applications at Bank of America. Involved in Hadoop ecosystem, big data technologies, and ensuring system stability.
About the role
- Principal Data Engineer at Genworth leading build teams and mentoring engineers in data engineering practices. Overseeing data architecture and engineering processes for the Life, Annuity, and Long-Term Care Data Solutions team.
Responsibilities
- Leading 3–4 build teams, providing technical direction, coaching, mentoring, and technical governance.
- May directly lead some data engineers for POCs, building coding frameworks that will be shared across teams, and other re-usable data assets.
- May perform hands on designing, building, testing, and supporting analytical pipelines.
- Establishing and enforcing design, engineering, and coding standards, including code reviews.
- Leading CI/CD and designing reusable data tests for future releases.
- Expanding your expertise into AI, ML, Lakebase, and other capabilities available in the DataBricks platform to these features are implemented as needed.
- Driving Spark performance optimization and leading platform cost optimization opportunities.
- Managing production monitoring, troubleshooting, and defect resolution.
Requirements
- 3–5 years of hands-on Databricks experience with other complementary technologies including data governance, reporting and dashboard, and source system technologies.
- Proven experience in a Tech Lead role, including leading developers and distributing/decomposing work.
- Strong communication skills with the ability to mentor, influence, and align cross functional stakeholders.
- Ability to engage proactively with business leaders to recommend solutions aligned to strategy and support data self-service capabilities.
- Solid grounding in general analytics, data warehousing, and modern data engineering practices.
- Experience working in Agile frameworks and writing high-quality user stories.
- Ability to navigate ambiguity and provide clarity for your team and partners.
- Nice to have Azure and Fabric cloud experience.
- Insurance industry business process and data knowledge.
- Medical data experience.
- Familiarity with data governance and data quality needs for business consumers and how they integrate with pipeline design.
Benefits
- Competitive Compensation & Total Rewards Incentives
- Comprehensive Healthcare Coverage
- Multiple 401(k) Savings Plan Options
- Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
- Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
- Disability, Life, and Long Term Care Insurance
- Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
- Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
- Caregiver and Mental Health Support Services
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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