Data Engineer I

🔥 14 minutes ago

🇺🇸 United States – Remote

💵 $83.7k - $161.8k / year

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Mercury Insurance

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1962

🚘 Automotive

💼 Consulting

📦 Logistics

Automotive • Consulting • Logistics

Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.

📋 Description

• Design, build, and launch high-quality big data/data lake solutions on cloud platforms, preferably AWS • Solve data integration problems using optimal ETL patterns, frameworks, and query techniques • Source data from structured and unstructured data sources • Own existing production processes and optimize complex code through advanced algorithmic concepts • Extract and manipulate data from data lakes, data warehouses, and data cubes • Collaborate with data analysts and data scientists to develop solutions for complex data problems • Identify data opportunities to drive profitable growth • Proactively identify pain points in existing data models • Fulfill data-related requests using existing data infrastructure • Perform data housekeeping, cleansing, normalization, hashing, and required data model changes • Analyze data to identify anomalies, trends, and correlations • Design, develop, and implement natural language processing software modules • Enhance automation framework features, develop tools, and integrate automation into the software development lifecycle • Work with cross-functional teams to minimize manual efforts and ensure testing meets business and regulatory requirements • Perform other assigned functions

🎯 Requirements

• Bachelor's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or related field OR equivalent combination of education and/or experience • 1 or more years of experience in data analytics, data engineering, and/or data science • 1 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) • 1 or more years of experience in Python or Java programming • 1 or more years of experience in writing SQL statements and query performance tuning • 1 or more years of experience in RDMS or MPP databases, preferably AWS Redshift or Snowflake • Expert in Python and/or SQL programming; some experience with R preferred • 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 ability to work with large structured and unstructured data sources • Excellent problem-solving, analytical, critical thinking, written, and verbal communication skills • Preferred experience supporting or building AWS cloud-based data platform workflows, including S3, Lambda, Docker, and EKS • Preferred experience working with Spark for large-scale data processing, transformation, or dataset preparation • Preferred exposure to data ingestion or integration pipelines, vendor API calls, and secure data delivery into a data lake • Preferred familiarity with CI/CD practices and cross-functional infrastructure support • Preferred exposure to AI and automation • Demonstrated understanding of data/analytics engineering best practices • Demonstrated expert skills in data mining and data analytics • Demonstrate Company’s Core Values

🏖️ 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