Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment.
Design robust, reusable, and scalable data-driven solutions and data pipeline frameworks.
Automate ingestion, processing, and delivery of structured/unstructured and batch/real-time data.
Understand and implement best practices in enterprise data management (master data, reference data, metadata, data quality, lineage).
Work with ALM, Hedging, Risk, and other stakeholders.
Navigate competing priorities; adapt to changing requirements.

Bachelor’s degree in computer science, math, engineering, or related field.
Four years of experience across data engineering, analytics, warehousing, BI, DB admin, integration.
Two years DevOps/CI-CD experience.
Practical experience with data warehousing and ETL development.
SQL expertise.
Creative thinker with strong problem solving and analytical skills.
Results oriented with strong customer focus.
Strong team collaboration and communication skills.
Ability to prioritize and meet deadlines.
Ability to learn new technologies quickly.

Competitive Pay
Bonus for Eligible Employees
Benefits Package
Pension Plan
401k Match
Employee Stock Purchase Plan
Tuition Reimbursement
Disability Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Employee Discounts
Career Training & Development Opportunities
Health and Work/Life Balance Benefits
Paid Time Off starting at 160 hours annually for employees in their first year of service.
Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).
Be Well Company holistic wellness program
Parental Leave – fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service
Adoption Assistance
Employee Assistance Program
Back-Up Care Program
PTO for Volunteer Hours
Employee Matching Gifts Program
Employee Recognition Program
Referral Bonus Programs

Senior Data Engineer

Key skills