Data Engineer
Bedrock Robotics Inc5 months ago
Responsibilities
- Design, build, and maintain robust, scalable data pipelines and ingestion workflows across a growing data lake.
- Define and enforce data quality standards, service-level objectives, and validation frameworks for critical data assets.
- Optimize existing pipelines for performance and cost efficiency as data volumes grow.
- Own monitoring and alerting coverage to identify data issues before they affect customers.
- Drive best practices for data modeling, partitioning, and compute resource utilization.
- Enable non-engineering stakeholders to self-serve through documentation, tooling, and hands-on support.
- Review and debug pipelines, optimize queries, and help internal teams build data infrastructure.
Requirements
- 5+ years of experience in data engineering in large-scale data lake or data warehouse environments.
- 5+ years of experience with SQL and distributed query engines such as Spark, BigQuery, or Snowflake.
- Deep proficiency with pipeline orchestration tools such as Airflow or Prefect and transformation frameworks such as Spark.
- Experience designing and implementing data quality frameworks covering validation, anomaly detection, and lineage tracking.
- Familiarity with observability tooling, monitoring, alerting, and incident response for data pipelines.
- Experience enabling non-engineering stakeholders to self-serve on data infrastructure.
- Preferred: hands-on experience with Databricks and Spark.
- Preferred: experience with streaming or near-real-time ingestion patterns.
- Preferred: familiarity with data governance and access control at scale.
- Preferred: background working on customer-facing data products or external SLAs.
Benefits
- Roles are often flexible, and applicants in other locations, particularly near offices such as San Francisco or New York, are encouraged to apply.
Tech Stack
Categories
Data Engineering
About Bedrock Robotics Inc
Bedrock Robotics builds autonomous control systems that retrofit heavy construction equipment, enabling driverless operation on large infrastructure and industrial projects. The San Francisco–based, privately held company, founded in 2024, deploys its technology with contractors and project owners to speed schedules and improve job-site safety. Its business centers on upgrading existing fleets and operating them in the field, with software, sensors, and integration services tailored to construction workflows.