Job Title: Senior Data Engineer (Mid-Level) - Analytics
Location: NYC (Hybrid - 3 days onsite)
Position: Full-Time Permanent
Job Description: Join a leading organization as a Senior Data Engineer in the Analytics team. In this hybrid role, you will design, develop, and maintain data pipelines to support data-driven initiatives. Your responsibilities will include building scalable data products, collaborating with stakeholders, and ensuring data quality. You'll leverage advanced SQL, Python, and ELT techniques to optimize data pipelines and implement effective data models.
Key Responsibilities
- Design and maintain scalable data transformations and products.
- Create and manage data pipelines for analytics use cases.
- Collaborate with data scientists and stakeholders to fulfill data requirements.
- Optimize data pipelines for performance, reliability, and scalability.
- Ensure data integrity through rigorous testing and best practices.
- Review code changes and manage version control using Git.
- Convert requirements into Jira stories and provide milestones.
Requirements
- 7+ years in data engineering and pipelining.
- Expertise in SQL, Python, and ELT.
- Familiarity with dbt and big data platforms (Redshift, Snowflake).
- Experience with cloud environments (AWS) and Agile/Scrum.
- Graduate-level degree in computer science or related field preferred.
Preferred
- Experience with Generative AI and unstructured data.
- Background in the insurance industry.