Senior Data Engineer, Data Analytics

📋 Description

• Collaborate with robotics software and hardware engineering teams to define, collect, structure
• Design, develop, maintain, and optimize scalable ETL pipelines that transform raw robot logs and
• Leverage Apache Spark, Airflow or equivalent orchestration technologies, and AWS data services to
• Own and maintain gold-layer datasets supporting fleet dashboards, hardware reliability models
• Establish and maintain data freshness service-level agreements (SLAs), documentation standards
• Implement data validation checks, schema evolution strategies, and metadata management practices

🎯 Requirements

• At least 5 years of professional experience as a Data Engineer or in a similar role building
• Strong proficiency in Apache Spark or an equivalent distributed data processing framework.
• Programming experience in Python, Java, and/or Scala, with the ability to develop and maintain
• Hands-on experience with data orchestration platforms such as Apache Airflow, Dagster, Prefect, or
• Strong knowledge of data serialization and storage formats, including Avro, Parquet, and structured
• Familiarity with modern data lake table formats and architectures, such as Apache Iceberg, Delta

🎁 Benefits

• Competitive salary: Annual base compensation ranging from $175,000 to $274,000 USD, depending on
• Retirement savings: 401(k) plan with a generous 6% company match.
• Equity compensation: Eligibility for company stock options.
• Comprehensive healthcare: 100% company-paid medical, dental, and vision insurance for employees.
• Disability coverage: Company-paid short-term and long-term disability insurance.
• Immediate benefits eligibility: Employees become eligible for benefits from their first day of