82 applicants

Company

Original Job Post

GEICO · 2 days ago

Senior Staff Engineer – Finance Data

Chevy Chase, MD

Full-time

Remote

Senior Level

$120K/yr - $262K/yr

10+ years exp

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Responsibilities

Define the engineering direction and roadmap for the new Finance Data Lake that aligns with business goals.

Lead the development of the Finance Data Lake meeting goals for security, resilience, compliance, and correctness.

Provide technical guidance and mentorship to team members, sharing knowledge and best practices.

Hold a high bar on technical decision making and set a standard for engineering artifacts.

Stay up-to-date with industry trends and emerging technologies, evaluating their potential impact on payments engineering.

Triage and resolve service disruptions, build industry standard mechanisms for prevention and self-healing.

Influence and educate leadership at all levels.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data processingData modelingOLAPCloud data solutionsData formatsStreaming applicationsETL/ELT toolsMachine learningSQLCloud computingMessaging technologiesScalabilityHigh availabilityDeveloper toolingSoftware developmentProgramming languagesBig data technologiesArchitectureOpen-source frameworks

Required

Exemplary ability to design and develop, perform experiments, and influence engineering direction and product roadmap

Advanced experience developing new and enhancing existing data processing (data ingestion, data transformation, data storage, data management, data quality) components

Understanding of data warehouse concepts including data modeling and OLAP

Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent)

Experience with data formats such as Delta, Parquet, Avro, ORC, XML, JSON

Experience working streaming applications (Spark Streaming, Flink, Kafka, or equivalent)

Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks

Understanding of machine learning

Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs to reduce the execution window or reduce resource utilization

Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)

Experience with messaging such as Kafka, ActiveMQ, RabbitMQ, or similar messaging technologies

Expertise developing systems that are scalable, resilient, and highly available

Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)

10+ years of professional experience in data software development, programming languages and developing with big data technologies

8+ years of experience with architecture and design

6+ years of experience in open-source frameworks

4+ years of experience with AWS, GCP, Azure, or another cloud service

Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience

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

Company

GEICO

Glassdoor

2.7

GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.

Founded in 1936

Chase, Maryland, USA

10,001+ employees