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Senior Engineer- Data Efficiency​/Datalakehouse

Job in Chevy Chase, Montgomery County, Maryland, 20815, USA
Listing for: GEICO
Full Time position
Listed on 2026-02-06
Job specializations:
  • Software Development
    Data Engineer
Job Description & How to Apply Below

Senior Engineer – Data

GEICO is seeking an experienced engineer to lead the technical onboarding of new data use cases and business initiatives to Blaise, GEICO’s Data Lakehouse. The engineer will collaborate with stakeholders, design and implement scalable data ingestion and transformation pipelines, and ensure integration with the existing Lakehouse architecture.

Position Responsibilities
  • Lead the technical onboarding of new data use cases and projects to the Lakehouse platform, working with data scientists, analysts, and business teams.
  • Design, build, and optimize scalable data pipelines (ETL/ELT) for ingesting and transforming data into the Lakehouse.
  • Collaborate with data producers and consumers to define data requirements, data models, and transformation logic.
  • Troubleshoot and resolve technical issues related to data ingestion, processing, and consumption within the Lakehouse.
  • Collaborate with platform engineers to implement infrastructure improvements that support new use cases and optimize platform performance.
  • Mentor junior engineers and contribute to knowledge sharing within the team and across the organization.
  • Stay current with emerging identity trends, technologies, and best practices to enhance GEICO’s data protection strategies.
Qualifications
  • 4+ years of experience in data engineering, data warehousing, or a related data-focused discipline, focusing on data ingestion and onboarding.
  • Experience with SQL, Python, PySpark, Spark, Scala, JSON, Kafka, DBT (Data Build Tool), Iceberg, Snowflake, Airflow, Azure Data Factory (ADF), and Azure Dev Ops (ADO) are preferred.
  • Hands‑on experience building and operating data pipelines using Apache Spark, Flink, Kafka, or similar frameworks.
  • Proficiency with cloud data platforms (AWS, Azure, GCP) and their respective data services.
  • Experience with data lakehouse technologies such as Delta Lake, Apache Hudi, or Apache Iceberg.
  • Strong understanding of data governance, security, and compliance principles.
  • Excellent communication, collaboration, and problem‑solving skills.
  • Ability to work independently and manage multiple projects simultaneously in a fast‑paced environment.
  • Experience with CI/CD pipeline setup and best practices;
    Azure Dev Ops (ADO) is preferred.
Education
  • Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent education or work experience.
Compensation Package
  • Base salary range: $ – $ USD annually.
  • Annual salary: $ – $ USD (range provided for general guidance).
Equal Employment Opportunity

GEICO is an equal employment opportunity employer. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. The GEICO Companies provide 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 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.

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Position Requirements
10+ Years work experience
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