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Description:
The Senior Data Engineer will work with the data warehousing team to transform transactional data into datasets that are consumable for reporting and analytics.
The successful candidate will be flexible and forward-leaning, able to learn new tools and skills, and adapt to new data domains as the data warehouse grows.
Requirements:
A Bachelor’s degree plus at least 7 years in a data engineering role, including ETL development, database development, data integration, data mining, and big data.
Strong experience in developing and maintaining complex SQL for ETL and reporting.
Strong experience with large complex data systems.
Experience performing database administration tasks, such as managing scheduled jobs and cluster configurations.
Experience performing software administration tasks, including deploying applications and managing scheduled tasks.
Ability to learn new tools quickly to provide innovative solutions for problem-solving.
Ability and desire to collaborate with other program staff and customers to reach design decisions within given constraints.
Excellent diplomacy and communication skills with both clients and technical staff.
Benefits:
Generous and flexible time-off policy.
Flexible work schedules and telework options, including remote work availability for eligible projects.
Career development opportunities, including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities.
Industry-leading benefits, including a choice of two health plans that cover dental and vision, flexible spending accounts, commuter benefits, life insurance, and more.
401K matching with immediate vesting and end-of-year profit sharing.
Regular team and company social events, including an annual party, happy hours, fitness challenges, and more.
A focus on community engagement, including company-wide support activities, employer match for donations, and time off for volunteer efforts.