Data Engineer

📋 Description

• Implement new data pipelines.

• Design and develop data observability platforms and metrics.

• Create metadata-driven pipeline solutions.

• Oversee and enhance data transformations.

• Establish third-party data integrations.

⛳️ Requirements

• BA/BS or Master's degree in a quantitative discipline such as Statistics, Economics, Engineering, Mathematics, or Data Science.

• Minimum of 4 years of experience in software engineering.

• Familiarity with one or more leading cloud service providers: AWS, GCP, Azure.

• Proficient in infrastructure as code tools and methodologies.

• Skilled in SQL-based and Python data manipulation with large datasets.

• Flourish in a fast-paced, dynamic entrepreneurial environment. You are willing to tackle unfamiliar challenges but also humble enough to learn from mistakes and iterate.

🏝️ Benefits

• Dental, vision, and a variety of group medical plans to select from.

• A 401(k) retirement savings option.

• Group life insurance coverage.

• Accidental death and dismemberment (AD&D) insurance.

• Flexible spending account (FSA) and health savings account (HSA).

• Commuter benefits available.

• Employer-funded short-term (STD) and long-term disability (LTD) insurance.

• Additional supplemental insurance options (spouse life insurance, legal insurance, employee assistance programs, home health testing kits, and discounts on fertility medications).

• Flexible vacation policy.

• Accrued paid sick leave.

• 10 paid holidays each year.

• 2 floating holidays for full-time non-exempt employees.

• Eight weeks of paid parental leave for eligible staff.

• Extra paid weeks for the birthing parent.

• 4 weeks of paid caregiver leave.

• Monthly Lifestyle Spending Account allowance.