Staff Data Engineer - Data Analytics & Workflows

AiDASH

AiDASH focuses on making critical infrastructure sustainable and resilient through satellite and AI technology. As a Series C climate tech startup, AiDASH is recognized for its innovative contributions to the industry and strives to protect critical infrastructure and secure the future of humanAIty. The Data & ML Platform team is expanding, offering a motivated Data Engineer the chance to shape data-driven workflows while collaborating with diverse teams to support ML and enterprise data needs.

In this role you can expect to have the responsibilities:

• Architect and develop scalable data pipelines for complex datasets.
• Oversee data architecture and storage solutions.
• Optimize data workflows for performance and cost-efficiency using big data tools.
• Support data science, machine learning, and business operations.
• Monitor and maintain data pipeline reliability and infrastructure.

This role comes with the following benefits:

• Comprehensive medical, dental, and vision coverage.
• Health Reimbursement Account (HRA) funded by AiDASH.
• 401(k) plan available after three months of employment.
• Supportive parental leave policy.
• Generous vacation policy with 20 days per year and birthday off.

This role requires you to have:

• 8+ years in data engineering with expertise in data pipeline and architecture design.
• Proficiency in Python, Java, or Scala and experience with Apache Spark or Hadoop.
• Familiarity with data warehousing solutions like Snowflake, Redshift, or BigQuery.
• Knowledge of ETL/ELT frameworks and data modeling techniques.
• BS/BA in Computer Science or related field.

You would benefit from having:

• Experience with ML workflows and integrating systems with ML models.
• Knowledge of satellite-generated data and geospatial technologies.

AiDASH supports diversity and inclusion, promoting a workplace for all individuals. The company is committed to providing accessible interview experiences and offers competitive compensation aligned with industry standards.