Data Engineer

Bedrock Robotics

Senior Data Engineer building robust data pipelines for Bedrock's autonomous construction systems. Collaborating with engineers to enhance project efficiency and data quality.

Posted 6/17/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQuerySparkSQL

About the role

Key responsibilities & impact

You will design, build, and maintain robust, scalable data pipelines and ingestion workflows across a growing Data Lake;
Define and enforce data quality standards, SLOs, and validation frameworks to ensure accuracy and reliability of critical data assets;
Continuously optimize existing pipelines for performance and cost efficiency as data volumes scale;
Expand and own our monitoring and alerting coverage — surfacing data issues before they become customer-facing problems;
Drive best practices around data modeling, partitioning, and compute resource utilization;
Also, you get to drive 100,000 lb excavators.

Requirements

What you’ll need

5+ years of experience in data engineering, with a strong track record in large-scale data lake or data warehouse environments
5+ years of experience working with SQL and distributed query engines (e.g. Spark, BigQuery, Snowflake, or similar)
Deep proficiency with pipeline orchestration tools (e.g. Airflow, Prefect, or equivalent) and transformation frameworks (e.g. Spark)
Experience designing and implementing data quality frameworks - validation, anomaly detection, lineage tracking
Familiarity with observability tooling for data systems: monitoring, alerting, and incident response for data pipelines
Experience enabling non-engineering stakeholders to self-serve on data infrastructure, whether through documentation, tooling, or hands-on enablement.

Benefits

Comp & perks

Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringSQLSparkBigQuerySnowflakepipeline orchestrationAirflowPrefectdata quality frameworksanomaly detection

Soft Skills

communicationcollaborationproblem-solvingdocumentationstakeholder engagement