GEICO
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Staff Engineer - Data Architecture
role at
GEICO
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This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $105,000.00/yr - $230,000.00/yr
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Summary
The GEICO Data Engineering team is seeking an experienced Staff Engineer to drive data architecture and engineering efforts. You have a passion for efficient data engineering that is founded on sound operational and analytical data models and robust data architecture. You understand holistically how data moves through an organization, including how it is originated, transformed, derived, and persisted to enable business analytics and machine learning models. You have a strong track record of building high-performance and resilient data-intensive applications, data warehouses and lakehouses. This role requires in-depth knowledge of data modeling and architecture, data pipelines, and data management.
Position Description
Our Staff Engineer is a key member of the data engineering staff working across the organization to innovate and leverage industry best practices for our data engineering efforts as we embark on our Data transformation journey. Our team thrives and succeeds in delivering high quality data platforms, products and services to our business partners in a hyper-growth environment where priorities shift quickly.
Position Responsibilities
Create and maintain a conceptual, logical, and physical data models that are optimized for accuracy, performance, and scalability
Live and breathe entities, relationships, aggregates, and different schema types for various use cases
Develop and drive adoption of metadata management strategy
Engage with business and product to guide them and choose the right entities and datasets for their analytics and ML solutions
Collaborate with business partners to establish and evolve enterprise and business domain data models and strategies
Identify, manage, and leverage data assets across the enterprise understanding the cross-domain data opportunities
Provide technical leadership to data engineering teams to ensure the delivery of high-performance and resilient data solutions
Promote the use of data architecture, data governance, and data management best practices at enterprise and domain levels
Drive automation of modeling best practices and compliance with conceptual enterprise data model
Have in-depth experience in understanding, profiling and defining, and standardizing data for efficient processing and utilization
Define data architectures for acquiring data and ingesting into the enterprise data warehouse / lakehouse
Develop and maintain semantic views that provide a business-friendly layer on top of the data lakehouse; ensure semantic views are aligned with business requirements and are easy to understand
Lead design sessions and code reviews to elevate the quality of engineering across the organization
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise class business applications
Work collaboratively with data engineers, software engineers, and business intelligence teams to ensure seamless integration and data flow across the enterprise
Qualifications
You are customer-centric, always keeping the customer’s experience at the forefront of the conversation
Ability to identify and communicate enterprise data challenges and develop strategies to address them
Ability to influence across enterprise data teams and leadership
Expertise in modern data architecture and data modeling best practices
Fluency and expertise in modern data stacks, e.g. Snowflake, Apache Iceberg, DBT, Delta Lake, Spark, Apache Flink, Cassandra, PostgreSQL etc.
Experience with at least one modern language such as Go, Python, Java, including object‑oriented design
Understanding of data warehouse concepts including data modeling and OLAP
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs
Fluency in DevOps concepts, cloud architecture, and CI/CD frameworks
In-depth knowledge of data structures and algorithms
Understanding of monitoring and troubleshooting tools such as OpenTelemetry, Prometheus, Grafana, Splunk etc.
Strong knowledge and understanding of cloud-based data services on Azure, AWS, or GCP
Strong problem-solving, analysis and estimation skills
Strong oral and written communication skills
Annual Salary
$105,000.00 - $230,000.00
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: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Design, Art/Creative, and Information Technology
Industries
Insurance
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Staff Engineer - Data Architecture
role at
GEICO
Get AI-powered advice on this job and more exclusive features.
This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $105,000.00/yr - $230,000.00/yr
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Summary
The GEICO Data Engineering team is seeking an experienced Staff Engineer to drive data architecture and engineering efforts. You have a passion for efficient data engineering that is founded on sound operational and analytical data models and robust data architecture. You understand holistically how data moves through an organization, including how it is originated, transformed, derived, and persisted to enable business analytics and machine learning models. You have a strong track record of building high-performance and resilient data-intensive applications, data warehouses and lakehouses. This role requires in-depth knowledge of data modeling and architecture, data pipelines, and data management.
Position Description
Our Staff Engineer is a key member of the data engineering staff working across the organization to innovate and leverage industry best practices for our data engineering efforts as we embark on our Data transformation journey. Our team thrives and succeeds in delivering high quality data platforms, products and services to our business partners in a hyper-growth environment where priorities shift quickly.
Position Responsibilities
Create and maintain a conceptual, logical, and physical data models that are optimized for accuracy, performance, and scalability
Live and breathe entities, relationships, aggregates, and different schema types for various use cases
Develop and drive adoption of metadata management strategy
Engage with business and product to guide them and choose the right entities and datasets for their analytics and ML solutions
Collaborate with business partners to establish and evolve enterprise and business domain data models and strategies
Identify, manage, and leverage data assets across the enterprise understanding the cross-domain data opportunities
Provide technical leadership to data engineering teams to ensure the delivery of high-performance and resilient data solutions
Promote the use of data architecture, data governance, and data management best practices at enterprise and domain levels
Drive automation of modeling best practices and compliance with conceptual enterprise data model
Have in-depth experience in understanding, profiling and defining, and standardizing data for efficient processing and utilization
Define data architectures for acquiring data and ingesting into the enterprise data warehouse / lakehouse
Develop and maintain semantic views that provide a business-friendly layer on top of the data lakehouse; ensure semantic views are aligned with business requirements and are easy to understand
Lead design sessions and code reviews to elevate the quality of engineering across the organization
Influence and build vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise class business applications
Work collaboratively with data engineers, software engineers, and business intelligence teams to ensure seamless integration and data flow across the enterprise
Qualifications
You are customer-centric, always keeping the customer’s experience at the forefront of the conversation
Ability to identify and communicate enterprise data challenges and develop strategies to address them
Ability to influence across enterprise data teams and leadership
Expertise in modern data architecture and data modeling best practices
Fluency and expertise in modern data stacks, e.g. Snowflake, Apache Iceberg, DBT, Delta Lake, Spark, Apache Flink, Cassandra, PostgreSQL etc.
Experience with at least one modern language such as Go, Python, Java, including object‑oriented design
Understanding of data warehouse concepts including data modeling and OLAP
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs
Fluency in DevOps concepts, cloud architecture, and CI/CD frameworks
In-depth knowledge of data structures and algorithms
Understanding of monitoring and troubleshooting tools such as OpenTelemetry, Prometheus, Grafana, Splunk etc.
Strong knowledge and understanding of cloud-based data services on Azure, AWS, or GCP
Strong problem-solving, analysis and estimation skills
Strong oral and written communication skills
Annual Salary
$105,000.00 - $230,000.00
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: At GEICO, we help our customers through life’s twists and turns. Our mission is to protect people when they need it most and we’re constantly evolving to stay ahead of their needs. We’re an iconic brand that thrives on innovation, exceeding our customers’ expectations and enabling our collective success. From day one, you’ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people’s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career – and your potential – in mind. You’ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Design, Art/Creative, and Information Technology
Industries
Insurance
Referrals increase your chances of interviewing at GEICO by 2x
Get notified about new Architectural Engineer jobs in
Chevy Chase, MD .
District of Columbia, United States $120,000.00-$166,000.00 11 months ago
Washington, DC $140,000.00-$180,000.00 1 month ago
Tysons Corner, VA $44.63-$71.40 5 days ago
District of Columbia, United States $226,000.00-$376,000.00 1 week ago
Sterling, VA $180,000.00-$220,000.00 2 weeks ago
Arlington, VA $145,000.00-$180,000.00 1 week ago
Washington, DC $102,274.00-$181,268.00 12 months ago
Enterprise Architect - Hybrid (Raleigh or Jersey City) OR Remote
District of Columbia, United States $150,000.00-$180,000.00 1 week ago
Washington, DC $211,500.00-$306,600.00 1 week ago
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Maryland, United States $150,000.00-$180,000.00 1 week ago
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Reston, VA $118,730.00-$201,840.00 1 week ago
Maryland, United States $102,274.00-$181,268.00 12 months ago
Bethesda, MD $135,000.00-$160,000.00 1 month ago
Washington, DC $130,000.00-$140,000.00 1 week ago
Washington, DC $171,000.00-$305,800.00 1 week ago
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr