Garner Health - New York, NY
posted 9 days ago
Full-time - Mid Level
New York, NY
251-500 employees
About the position
The Senior Data Engineer for Analytics will play a crucial role in designing and implementing data solutions that support analytics initiatives across the organization. This position focuses on building robust data pipelines, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights. The ideal candidate will have a strong background in data engineering, experience with cloud technologies, and a passion for optimizing data workflows.
Responsibilities
- Design and implement scalable data pipelines for analytics.
- Collaborate with data scientists and analysts to understand data needs.
- Ensure data quality and integrity across all data sources.
- Optimize existing data workflows and processes.
- Monitor and troubleshoot data pipeline performance issues.
- Document data architecture and processes for future reference.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or a related field.
- Proficiency in SQL and experience with data modeling.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong programming skills in Python or Java.
- Familiarity with ETL tools and data warehousing concepts.
Nice-to-haves
- Experience with big data technologies like Hadoop or Spark.
- Knowledge of machine learning concepts and tools.
- Familiarity with data visualization tools such as Tableau or Power BI.
Benefits
- Health insurance coverage
- 401k retirement plan
- Flexible work hours
- Professional development opportunities
- Paid time off and holidays
