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Staff Engineer - Data Architecture Job Opening In Chevy Chase – Now Hiring GEICO

Staff Engineer Data Architecture

Job description

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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose.

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.

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

As a Staff Engineer, you will:

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 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.

Required Skill Profession

Computer Occupations