Design, develop, and maintain scalable ETL/ELT pipelines to ingest data from a variety of internal and external sources.
Architect and optimize data storage solutions (data warehouses and data lakes) to ensure high performance and cost-efficiency.
Ensure data integrity and quality by implementing automated testing, monitoring, and validation frameworks within the data lifecycle.
Collaborate closely with Data Scientists and Product teams to understand their data requirements and provide "model-ready" datasets.
Build and maintain API integrations and microservices to facilitate seamless data movement between systems.
Implement automation and CI/CD practices for data infrastructure to improve deployment speed and system reliability.
Troubleshoot and resolve complex data-related issues, optimizing slow-running queries and bottlenecks in the data flow.
Stay up-to-date with the latest advancements in data engineering, cloud architecture, and distributed computing technologies.

Master’s degree in Computer Science, Software Engineering, Information Systems, or a closely related quantitative field.
Demonstrated ability to design and build production-grade data pipelines.
Strong experience with data modeling, database design, and storage optimization (SQL and NoSQL).
Expertise in at least one major programming language used in data engineering (e.g., Python).
Proficiency in writing complex, highly optimized SQL queries for large-scale data analysis.
Experience with workflow orchestration tools.
Familiarity with distributed computing frameworks.
Proven ability to translate business requirements into technical data architecture.

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.

Data Engineer

Key skills