Senior Engineer - Data Analytics

About Join to apply for the Senior Engineer - Data Analytics role at GEICO1 day ago Be among the first 25 applicantsJoin to apply for the Senior Engineer - Data Analytics role at GEICOAt 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.Position SummaryGEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning.Position DescriptionAs a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting.Position ResponsibilitiesAs a Senior Engineer, you will:Scope, design, and build scalable, resilient distributed systemsUtilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and servicesUtilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisionsUse your technical expertise to shape product definitions and drive towards optimal solutionsLead in design sessions and code reviews with peers to elevate the quality of engineering across the organizationEngage in cross-functional collaboration throughout the entire development lifecycleManage data pipelines, ensuring consistent data availabilityMentor other engineersConsistently share best practices and improve processes within and across teamsQualificationsAdvanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analyticsDemonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plusExperience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelinesExperience architecting and designing new ETL and BI systemsExperience with supporting existing ETL and BI systemsExperience with CI/CD to ensure smooth and continuous integration and deployment of data solutionsAbility to balance the competing needs of multiple priorities and excel in a dynamic environmentAdvanced understanding of DevOps concepts including Azure DevOps framework and toolsKnowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)Understanding of microservices oriented architecture and REST APIs and GraphQLAdvanced understanding of data quality monitoring and automated testingStrong problem-solving abilityExperience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferredExperience4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies3+ years of experience with data architecture and design3+ years of experience with AWS, GCP, Azure, or another cloud service3+ years of experience with ETL and/or BI tools2+ years of experience in Big-data tools like Spark and DatabricksEducationBachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experienceAnnual Salary$95,000.00 - $215,000.00The 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 PledgeGreat 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.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 levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionInformation TechnologyIndustriesInsuranceReferrals increase your chances of interviewing at GEICO by 2xSign in to set job alerts for “Data Engineer” roles.San Francisco, CA $126,100.00-$186,800.00 2 weeks agoSan Francisco, CA $150,000.00-$190,000.00 2 weeks agoSan Francisco, CA $180,000.00-$250,000.00 3 months agoFoster City, CA $143,000.00-$245,000.00 4 days agoOakland, CA $80,000.00-$120,000.00 2 days agoSan Francisco, CA $182,000.00-$232,000.00 3 days agoSan Francisco, CA $170,000.00-$250,000.00 2 weeks agoSan Francisco, CA $114,000.00-$171,000.00 4 days agoSan Francisco, CA $130,000.00-$150,000.00 2 days agoSan Francisco, CA $150,000.00-$200,000.00 2 months agoSan Francisco, CA $37.13-$42.76 4 days agoSan Francisco, CA $200,000.00-$220,000.00 1 day agoSan Francisco, CA $112,597.33-$152,810.66 1 month agoWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr Nice-to-have skills • Python • SQL • NoSQL • Docker • Kubernetes • Azure • Power BI • ETL • DevOps • AWS • GCP • GraphQL • California, United States Work experience • Data Engineer • Data Analyst Languages • English