Senior Manager, Data Engineering

$150,000 - $300,000/Yr

Geico - Chevy Chase, MD

Full-time - Senior

Chevy Chase, MD

Insurance Carriers and Related Activities

About the position

The Senior Manager, Data Engineering at GEICO is responsible for leading a team of engineers to build high-performance, low-latency data engineering platforms and applications. This role focuses on transforming the current STAT reporting platform into a modern data engineering solution, ensuring alignment with business and product initiatives. The ideal candidate will possess deep technical expertise in open-source technologies and will be instrumental in driving the technical roadmap and increasing the velocity of product delivery.

Responsibilities

• Work with your Director to address project dependencies and negotiate delivery dates with stakeholders.
• Identify and raise project risks, presenting detailed solutions or alternatives.
• Understand the impact of requirements and design choices across multiple systems.
• Report on team progress for projects and key metrics.
• Cultivate a culture that motivates team members to achieve higher performance levels.
• Identify skill gaps within the team and create remediation plans.
• Manage communication with leadership and provide feedback when appropriate.
• Craft compliant quality documentation.
• Lead people, products, and processes to innovate data-driven transformations.
• Establish a long-term roadmap and business plan through strategic thinking and planning.
• Build strong relationships with tech teams and business partners.
• Work independently while being part of a cohesive management team.
• Coach, develop, and manage associates and supervisors, including goal setting and performance evaluation.
• Collaborate with stakeholders to meet data quality requirements, SLAs, and SLOs.

Requirements

• Proven management experience leading teams of 6+ engineers.
• Strong understanding of data ingestion, transformation, management, quality, and lineage concepts.
• Hands-on experience with modern open data stack technologies such as Apache Iceberg, Delta Lake, Spark, Flink, DBT, Python, Kafka, Airflow, NiFi.
• Strong knowledge of cloud computing technologies (SaaS, PaaS, IaaS).
• Fluency in at least one modern programming language (Python, Java, Go) and experience with open-source software.
• Proven ability to learn technical concepts and adapt to new technologies quickly.
• Strong knowledge of cloud platforms (AWS, GCP, Azure).
• Proficiency in project management tools like GitHub and Azure DevOps.
• Strong foundation in algorithms, data structures, and core computer science concepts.
• Fluency with SQL and PowerBI.
• Experience with application monitoring tools and performance assessments.
• Excellent verbal and written communication skills for diverse audiences.
• Experience designing, building, optimizing, and scaling solutions using distributed computing.
• Proven experience with CI/CD pipelines and build/release practices.
• 10+ years of professional software engineering experience, including software development lifecycle best practices.
• 5+ years of development in a large-scale, mission-critical environment.
• 5+ years of hands-on supervisory experience in a technical environment.
• 2+ years of experience with automated testing (Unit, Integration, End-to-End).

Benefits

• Premier Medical, Dental and Vision Insurance with no waiting period.
• Paid Vacation, Sick and Parental Leave.
• 401(k) Plan.
• Tuition Reimbursement.
• Paid Training and Licensures.