Mercury Insurance ยท 1 month ago
Senior Data Engineer
California, United States
Full-time
Hybrid
Senior Level
$105K/yr - $199K/yr
6+ years expMercury Insurance is dedicated to helping people reduce risk and overcome unexpected events. The Senior Data Engineer will create production data pipelines for advanced analytics and data science teams, collaborating on data sources and infrastructure needs while serving as a subject matter expert for data across the organization.
Insurance
Responsibilities
Design, build, and launch collections of high-quality big data/data lake solutions on Cloud platform preferably AWS, Snowflake that support multiple use cases across all departments, all products, and all states
Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
The Data Engineer is an expert in all datalakes, data warehouses, and data cubes within Mercury, with no gaps in knowledge. Can efficiently and accurately extract and manipulate data from any source
Collaborate with teams of data analysts and data scientists, who research and integrate algorithms to develop solutions to address complex data problems. Influence all functions across the organization to identify data opportunities to drive profitable growth. Proactively identify pain points that Analytics & Data Science face with our existing data models
Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends and correlate similar data sets. Designs, develops and implements natural language processing software modules
Other functions may be assigned
Qualification
Required
Bachelor's degree in computer engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or related field
Or equivalent combination of education and/or experience
6 or more years of experience in data analytics, data engineering, and/or data science
5 or more years of experience in architecting/designing and leading development of big data/data lake solutions on Cloud platforms, preferably AWS (S3, Glue/EMR, Athena, AppFlow) or Snowflake
6 or more years of experience in Python, Java and/or Scala programming
5 or more years of experience in writing SQL statements and query performance tuning
5 or more years of experience in RDMS or MPP databases, preferably AWS Redshift or Snowflake
A high-level specialist who regularly interacts and works with senior management
Expert at analyzing source data to identify gaps and inconsistencies
Able to multitask, prioritize, and manage time effectively
The ability to think conceptually, analytically and creatively comfortable with ambiguity
Demonstrated expert skills in design, develop, and implement MDM solutions using industry-standard platforms
Demonstrated expert skills in managing and maintaining golden records for customer, product, vendor, and other master data domains
Collaborate with data stewards and business teams to define data quality rules, validation processes, and governance workflows
Ensure data deduplication, matching, merging, and survivorship logic is implemented effectively
Monitor and improve master data quality, completeness, consistency, and timeliness
Stay current with MDM technologies, tools, and best practices to enhance system performance and business value
Expert in Java, Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Strong understanding of deep learning architectures (CNNs, RNNs, Transformers), and NLP or computer vision techniques
Experience managing and communicating data plans and data models to internal clients
Demonstrated solid understanding, and passion for, all areas of data/analytics engineering best practices
Demonstrated expert skills in data mining and data analytics
Solid experience with cloud-based advanced data and analytics environment
Knowledge of working with AWS, GitHub, and other cloud-based infrastructure
Expert data skills and the ability to work with large structured and unstructured data sources
Excellent problem-solving skills required
Excellent analytical and critical thinking required
Excellent written and verbal communication skills required
Demonstrate Company's Core Values
Preferred
Actuarial experience/exams preferred
5 or more years of experience working with MDM (Master Data Management), preferably Reltio
1 or more years of experience working with AI technologies in a production environment
5 or more years of experience with ETL tools, preferably DBT
3 or more years of experience in the P&C insurance industry
Benefits
Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more
Company
Mercury Insurance
Mercury Insurance has offered quality insurance for personal auto insurance to homeowners insurance to mechanical breakdown protection.
5001-10000 employees
H1B Sponsorship
Mercury Insurance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (23)
2023 (14)
2022 (15)
2021 (8)
2020 (13)
Funding
Current Stage
Public CompanyTotal Funding
unknown1985-11-29IPO
Leadership Team
T
Ted Stalick
SVP & CFO
V
Victor Joseph
President & Chief Operating Officer
Recent News
2025-12-18
2025-12-04
2025-11-25
Company data provided by crunchbase