Senior Engineer (Data Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Engineer (Data Engineering): Designing and delivering core data engineering software for enterprise analytics with an accent on data warehouse/BI development, scalable data pipelines, and CI/CD-driven reliability. Focus on architecting heterogeneous data flows (OLTP/flat files to staging to OLAP), optimizing STAR-schema models, and providing technical leadership across engineering standards and vendor/POC evaluations.
Location: Based in and reports to ’s HQ in Minneapolis, MN; option to telecommute from a home office anywhere in the United States.
Salary: at least $157,466/year
Company
is a financial services organization focused on helping people manage money wisely.
What you will do
- Apply technical expertise to drive customer outcomes and independently deliver initiatives aligned with the software engineering strategy.
- Develop and maintain core data engineering capabilities, including data warehouse/BI solutions and resilient, scalable software.
- Design and architect data pipelines and transformations from OLTP/flat files through staging to OLAP environments.
- Promote CI/CD pipeline usage and assess technology to improve deployment, build, stability, scalability, and resilience.
- Define engineering standards, patterns, and reusable components for reporting and analytics; support team planning and decomposition.
- Provide technical leadership through mentoring, trainings, interview participation, and vendor selection/POC collaboration.
Requirements
- Location/telecommute eligibility: Must be able to telecommute from a home office anywhere in the United States (role is based out of Minneapolis, MN).
- Bachelor’s (or foreign equivalent) in Applied Computer Science, Management Information Systems, Computer Science, or related field plus 5 years of progressive post-baccalaureate experience in data engineering/specialist/consultant roles.
- 5+ years developing and maintaining data warehouse and business intelligence using Informatica PowerCenter and Zena.
- 5+ years working with Oracle, SQL, PL/SQL, and relational databases; designing data pipelines and client requirement gathering/specifications.
- 3+ years working with IICS and Snowflake.
- 2+ years working with Databricks.
Culture & Benefits
- Benefits may include bonuses (annual/long-term incentives), medical/dental/vision insurance, HSA and FSA, 401k, pension, life/disability insurance, and additional supplemental protection.
- Paid time off: 20 days per year, plus Sick and Safe Time and 10 paid company holidays.
- Volunteer Time Off and paid parental leave; EAP and well-being benefits.
- Equal Employment Opportunity and commitment to reasonable accommodations for individuals with disabilities.
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