Senior Manager, Data Engineering

GEICO; United States; Remote; USD 147,000 - 230,000; Full time

Job summary

GEICO, a major U.S. auto insurer, seeks a data-platform leader to drive production data platforms and pipelines. You will lead engineers, shape data products, and ensure quality and governance across complex datasets and reporting systems.

The role emphasizes analytics, AI readiness, and a disciplined engineering culture, with a strong focus on reliability, data quality, and cross-functional collaboration within the organization.

Qualifications

• Data-platform leadership in production data platforms.
• Strong command of Python and SQL, data modeling, orchestration, cloud data architecture, and engineering practices.
• Operational discipline with testing, version control, deployment, data quality and observability.

Responsibilities

• Lead a high-accountability engineering team.
• Enable Analytics and AI by partnering on requirements, datasets, models and data readiness.
• Support governed self-service with reusable patterns, documentation, and controlled reporting/workflows.

Skills

Data-platform leadership

Python

SQL

Data modeling

Orchestration

Cloud data architecture

Engineering practices

Snowflake

Tools

Snowflake

Microsoft Fabric

Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

People and Operating Model

• Lead a high-accountability engineering team. Set clear ownership, coach technical and product thinking, build succession, and create an inclusive environment where quality and constructive challenge are expected.
• Enable Analytics and AI. Partner on requirements, production-ready datasets, semantic models, and data readiness; keep engineering, analytical interpretation, and AI decision authority clearly separated.
• Support governed self-service. Provide reusable patterns, documentation, coaching, and a controlled path for Agency colleagues to build approved reports and simple workflows.

Measures of Success

Priority data products meet agreed reliability, freshness, and quality expectations; access reviews and control tests pass; delivery cycle time and repeated preparation decline; reusable patterns are adopted; incidents and recurring defects trend down; Agency teams can reach trusted data faster; and platform value is demonstrated against transparent run and change costs.

Experience and Qualifications

• Data-platform leadership. Progressive experience leading engineers and delivering production data platforms, pipelines, and shared data products in a complex organization.
• Relevant technical depth. Strong command of Python and SQL, data modeling, orchestration, cloud data architecture, and engineering practices, with meaningful Snowflake and Microsoft Fabric experience or closely comparable platforms.
• Operational discipline. Demonstrated experience with testing, version control, controlled deployment, data quality, observability, lineage, access management, and production support.

Annual Salary

$146,575.00 - $229,600.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.