The Sr. Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and systems. The ideal candidate will have a strong understanding of data modeling, data quality, data pipelining, and other areas related to data engineering.
Requirements
- 5+ years of experience in data engineering
- Proficiency in programming and coding with PySpark, Python, and SQL
- Expertise in Databricks and other databases
- Strong understanding of data modeling, data quality, and data governance practices
- Experience with data integration, ETL processes, and data warehousing
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
Benefits
- Competitive Medical, Dental, Vision, and Disability & Life insurance benefits
- Generous Paid Time off
- 401(k) with Company Match up to 6% of pay after 6 months of service
- Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000
- Employee Assistance Program
- Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans
- Charitable giving program and benefits