Harnahm
Lead Data Engineer, Data and Systems
₹ Check with seller / month
✓ Actively Hiring
📍 San Francisco
💼 Full Time
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Job at a Glance
- Category
- Work from home
- Location
- San Francisco, California, United States
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- Harnahm
- Status
- Open & Active
Job Description
LEAD DATA ENGINEER, DATA AND SYSTEMS
San Francisco, CA
Remote
170-225,000k with bonus
Cannot sponsor at this time- No C2C
Company-
I have partnered with an innovative healthcare start-up looking for a Lead Data Engineer to join their growing team! They are committed to developing novel inventions that target the human microbiome to improve patients' lives. If that is something that sounds interesting to you apply below!
Responsibilities-
• Design, build, and maintain effective and scalable ELT pipelines.
• Collaborate with Data Science and Analytics teams to support the development of ML models.
• Leverage a modern tech stack to ensure scalable and automated data processing workflows.
• Manage and optimize data warehouses and data lakes to ensure data is accessible and reliable.
Requirements-
• 5+ years of experience with a degree in a related field.
• Strong understanding of Python and SQL
• Experience with data technologies ( Kafka, Spark, Hive/Iceberg, or Postgres).
• Experience in a cloud environment (AWS or GCP).
• Experience with Docker and Kubernetes is a plus.
• Experience with fivetran is a plus.
• High attention to detail and the ability to adapt quickly to new environments.
How to apply:
Please register your interest by sending your CV to Kyle Margolies via the Apply link on this page
San Francisco, CA
Remote
170-225,000k with bonus
Cannot sponsor at this time- No C2C
Company-
I have partnered with an innovative healthcare start-up looking for a Lead Data Engineer to join their growing team! They are committed to developing novel inventions that target the human microbiome to improve patients' lives. If that is something that sounds interesting to you apply below!
Responsibilities-
• Design, build, and maintain effective and scalable ELT pipelines.
• Collaborate with Data Science and Analytics teams to support the development of ML models.
• Leverage a modern tech stack to ensure scalable and automated data processing workflows.
• Manage and optimize data warehouses and data lakes to ensure data is accessible and reliable.
Requirements-
• 5+ years of experience with a degree in a related field.
• Strong understanding of Python and SQL
• Experience with data technologies ( Kafka, Spark, Hive/Iceberg, or Postgres).
• Experience in a cloud environment (AWS or GCP).
• Experience with Docker and Kubernetes is a plus.
• Experience with fivetran is a plus.
• High attention to detail and the ability to adapt quickly to new environments.
How to apply:
Please register your interest by sending your CV to Kyle Margolies via the Apply link on this page
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