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# Data Engineer

- **Company:** RFA Engineering
- **Location:** United States
- **Salary:** $80,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Vision, Cloud Computing, Cloud Database, Code Review, Information Engineering, Data Normalization, Data Security, Data Systems, Data Visualization, Software Debugging, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Software Engineering, Spatial Data Infrastructures, SQL Databases, Tableau (Software), Unstructured Data, Visual Analytics, Pyspark, Information Technology, Data Analytics, Email Notifications, Plotly, Data Pipelines, Databricks
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/5c3ac240-9864-4dc4-a664-cb732f5ca137

## About the Role

RFA Engineering (;/strong>) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices., * Bachelor's degree or higher in Computer Science, Software Engineering, Data Engineering, or a related technical field, or equivalent professional experience

 * Demonstrated experience designing and implementing cloud-based data solutions in production environments
 * Strong proficiency in Python for data engineering and analytics applications
 * Experience working with data access and processing technologies such as SQL, PySpark, Databricks, Postgres, and MongoDB
 * Experience building and maintaining datasets at scale across multiple data formats and structures
 * Familiarity with vehicle or embedded system data, including CAN signals
 * Excellent written and verbal communication skills, including the ability to lead meetings, clearly document work, communicate proof-of-concepts, and collaborate across teams, * Experience developing dashboards and visual analytics solutions using tools such as Tableau, Plotly, or similar platforms
 * Familiarity with spatial data and visualization tools such as Folium or Plotly
 * Experience implementing system monitoring, alerting, and health-tracking solutions
 * Strong analytical and problem-solving skills with the ability to debug complex data and system issues
 * Ability to work effectively in a self-directed environment with minimal oversight
 * Proven ability to manage multiple schedules, deliverables, and stakeholders simultaneously
 * Knowledge of off-highway, agricultural, construction, or industrial equipment data systems is a plus

## Description

As a Data Engineer, you will enable engineers, analysts, and data scientists to more effectively access, explore, and leverage enterprise data to generate insights, build models, and make data-driven decisions. This role focuses on designing scalable cloud-based data solutions, developing high-quality datasets, and creating data products that empower individual contributors to work independently with complex, high-volume data.

A key component of this role involves collaborating with embedded and digital engineering teams to define, capture, and analyze system performance, UI, and health metrics. You will help translate raw signals into actionable insights through analytics, dashboards, and monitoring tools., * Design, build, and maintain cloud-based data pipelines and data products that support analytics, machine learning, and exploratory data analysis

 * Enable self-service data access by developing well-structured, documented, and discoverable datasets for individual contributors
 * Partner with embedded and digital engineering teams to define required performance, UI, and system health metrics and ensure appropriate data capture
 * Perform analytics and data aggregation to translate raw signals into meaningful insights and visualizations
 * Develop and maintain production-ready Python code and data workflows using SQL, PySpark, Databricks, and related technologies
 * Manage and optimize storage of diverse data types, including images, raster data, parquet files, time-series data, geo-tagged data, text, and other unstructured data
 * Build dashboards and interactive data applications using tools such as Tableau, Plotly Dash, or similar web-based visualization frameworks
 * Develop alerting and monitoring solutions (e.g., automated email notifications) to identify system performance issues or data pipeline failures
 * Collaborate in code reviews, documentation, and best-practice development to ensure maintainable and reproducible solutions
 * Manage multiple projects, priorities, and milestones while maintaining a strong sense of ownership and accountability


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