Senior Data Engineer - job 1 of 2
Skills
- Strong experience with ETL/ELT pipeline development and maintenance.
- Proficiency in Python development, specifically building data APIs with FastAPI or similar.
- Advanced SQL skills including query optimization and performance tuning.
- Expertise in dbt for managing models, macros, and dynamic table creation.
- Hands-on experience with Snowflake including performance optimization and advanced data modeling.
- Experience with AWS data services like Kinesis, Firehose, Redshift, Spectrum, EMR, Lambda, and container orchestration with ECS/EKS.
Responsibilities
- Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology.
- Develop and manage robust data integrations with external vendors and organizations, including complex API integrations.
- Collaborate with Data Analysts, Data Scientists, DBAs, and cross-functional teams to deliver high-impact data solutions.
- Lead and own technical projects in a fast-paced environment.
- Drive improvements in data pipeline quality, security, efficiency, and scalability.
Education
- Bachelor of Science degree in Computer Science or equivalent practical experience.
Benefits
- Fully remote work setup with flexibility across contiguous US.
- Medical, dental, and vision insurance with multiple plan options.
- Company-paid life and AD&D insurance with supplemental options.
- Short-term and long-term disability coverage.
- FSA for medical and dependent care.
- 401(k) retirement plan.
- Equity packages for all roles.
- Paid vacation, sick, and parental leave.
- Employee Assistance Program (EAP).
- Financial literacy mentoring program.
- Pet insurance.
- Home office stipend.
Average salary estimate
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