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Data Engineer

Data Engineer Full-time Permanent United States

Job details

$99,365—$167,000 Salary
United States Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview A Connected Operations platform is hiring a Data Engineer to join a cross-functional Data team working alongside Data Scientists, Analysts, and other Engineers. The core mission is to design and maintain data pipelines inside a central data lake, ingesting and transforming high-volume IoT device telemetry and software product data into a unified analytics model that powers statistical analysis, machine learning, and operational dashboards.

Responsibilities - Build and maintain highly reliable computed tables that combine structured sensor and product data with unstructured sources such as video and audio, along with customer metadata. - Access, manipulate, and integrate external third-party datasets with internal data assets. - Deliver high-quality, customer-facing data products that meet strict uptime and reliability targets. - Partner with Data Science, Analytics, AI/ML, and peer Data Engineering teams to ensure data quality supports causal inference, model training, and dashboarding use cases. - Champion engineering best practices and inclusive, customer-focused cultural principles across a globally scaling organization.

Requirements - BA or MS degree in Computer Science, Statistics, or a related discipline. - 4+ years of experience in a data engineering-focused role. - Demonstrated experience designing data models at scale. - Proficiency building ETL pipelines that handle large data volumes. - Hands-on experience with Spark-based data platforms (SparkSQL and PySpark). - Strong command of at least one data orchestration tool such as Airflow, Dagster, or Prefect. - Expertise in SQL, Python, and working with REST APIs.

Benefits and work setup This is a fully remote position open to candidates residing in the United States; relocation assistance is not provided. The organization supports a flexible working model, with offices available for those who prefer in-person collaboration and remote options where operations permit. Benefits mentioned in the source include a professional development stipend, comprehensive health coverage, and parental leave plans. The company is committed to equal opportunity employment and reasonable accommodations throughout the recruiting process.

Skills detected in the listing

PythonGoSQLApache AirflowData EngineeringAWSGCPAzure
Detected Sep 9, 2026
Last verified Sep 9, 2026

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