Staff Data Engineer - Data Analytics & Workflows
Job Description
AiDASH, a Series C climate tech startup, is revolutionizing critical infrastructure industries through satellite and AI technology. Recognized by Forbes as one of "America's Best Startup Employers" and featured in Time Magazine's "America's Top GreenTech Companies 2024", we're seeking a Staff Data Engineer to join our Data & ML Platform team.
In this role, you'll lead the design and development of Analytics and Workflows to process vast amounts of geospatial and enterprise data, powering ML inferencing and experimentation. You'll work with cutting-edge technology, collaborating across teams including Data Science, Product, and DevOps, while having opportunities to mentor team members.
We offer a competitive compensation package ranging from $190,000 to $230,000, along with comprehensive benefits including 100% medical coverage for employees, generous parental leave, and a flexible vacation policy. Our work environment promotes diversity and inclusion, ensuring everyone can do their best work.
The ideal candidate brings 8+ years of data engineering experience, strong programming skills in Python/Java/Scala, and expertise in data warehousing and ETL processes. You'll be instrumental in building scalable data pipelines, optimizing performance, and maintaining robust data architecture for our growing platform.
Join us in our mission to safeguard critical infrastructure and secure the future of humanity through innovative technology solutions. Your expertise will directly contribute to making infrastructure industries more climate-resilient and sustainable.
Responsibilities For Staff Data Engineer - Data Analytics & Workflows
- Design and build scalable data pipelines for high-volume, high-complexity datasets
- Take ownership of designing and maintaining data architecture and storage solutions
- Optimize data workflows for performance, scalability, and cost-efficiency
- Support data science, machine learning and business operations functions
- Monitor and maintain pipelines and infrastructure to uphold internal SLAs
Requirements For Staff Data Engineer - Data Analytics & Workflows
- 8+ years of experience in data engineering
- 4+ years experience in building data pipes, datalakes and datawarehouse
- Proficient in Python, Java, or Scala, and experience with Apache Spark or Hadoop
- Familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery
- Strong knowledge of ETL/ELT concepts, frameworks or tools
- Deep understanding of data modeling techniques, and data warehouse design
- BS/BA in a technical field such as Computer Science
- Experience with machine learning workflows (preferred)
- Knowledge of satellite-generated data and geo-spatial technologies (preferred)
Benefits For Staff Data Engineer - Data Analytics & Workflows
- 100% Medical, Dental, and Vision Coverage for employees, 80% for spouses and children
- Health Reimbursement Account (HRA) - 100% funded by AiDASH
- 401(k) Plan after three months
- 16 weeks parental leave for primary caregivers, 4 weeks for secondary caregivers
- 20 vacation days per year plus birthday off
