Staff Software Engineering Manager, Claims Data - REMOTE

$130,000 - $300,000/Yr

Geico - Chevy Chase, MD

Full-time - Manager

Remote - Chevy Chase, MD

5,001-10,000 employees

Insurance Carriers and Related Activities

About the position

The Staff Engineering Manager is a leadership role focused on guiding the data engineering team to develop a high-performing open-source solution that integrates with various applications. This position is responsible for leading the claims data strategy and executing a technical roadmap to enhance product delivery and unlock new engineering capabilities. The role involves collaboration with multiple teams to ensure alignment with governance initiatives and to drive process improvements.

Responsibilities

• Identify and raise appropriate project risks, presenting detailed and implementable solutions or alternatives.
• Understand how requirements and design choices may impact systems across multiple areas.
• Report on team progress for projects and key metrics, presenting ideas for improvement.
• Initiate and support performance evaluations of team members.
• Cultivate a culture that motivates all levels of performers to higher achievement.
• Identify technical or analytical skill gaps and craft remediation plans.
• Execute difficult conversations on development and performance.
• Craft and deliver strategic arguments to drive projects for process improvement and customer experience.
• Manage communication with leadership and provide feedback when appropriate.
• Administer coaching and performance improvement plans.
• Craft compliant quality documentation and manage warning administration or terminations.
• Develop and report on the team budget and results achieved.
• Contribute to team planning processes and surface associate-level proposals.
• Lead people, products, and processes to innovate data-driven transformations.
• Build strong relationships with tech teams and business partners.
• Work independently while being part of a cohesive cross-functional management team.

Requirements

• Strong understanding of data ingestion, transformation, management, quality, and lineage concepts.
• Working knowledge of object-oriented development, design patterns, microservices, and unit testing.
• Proven ability to learn technical concepts and adapt to new technologies quickly.
• Strong knowledge of cloud platforms (AWS, GCP, Azure).
• Foundation in algorithms, data structures, and core computer science concepts.
• Fluency with big data open-source tools (Spark, Iceberg, Superset, Flink).
• Experience in data engineering and modern warehousing technologies (Snowflake).
• Knowledge of Java, Python, .NET, and SDLC.
• Experience with data ingestion and streaming tools (Kafka, Spark).
• Experience with application monitoring tools and performance assessments.
• Experience designing, building, optimizing, and scaling solutions using distributed computing.
• Strong leadership experience in software or data engineering.

Nice-to-haves

• Experience with CI/CD pipelines and build and release practices.

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.