Data Engineer

RFA Engineering

$80K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience
  • Experience designing and implementing cloud-based data solutions
  • Proficiency in Python for data engineering applications
  • Familiarity with SQL, PySpark, Databricks, and other data technologies
  • Experience managing large datasets across various formats
  • Excellent communication skills for cross-team collaboration
  • Knowledge of vehicle or embedded system data is a plus

Responsibilities

  • Design and maintain cloud-based data pipelines and products for analytics
  • Develop self-service datasets for individual contributors to access data
  • Collaborate with engineering teams to define performance and health metrics
  • Transform raw data signals into actionable insights and visualizations
  • Write production-ready Python code and manage data workflows
  • Optimize the storage of diverse data types and structures
  • Build interactive dashboards and applications using visualization tools
  • Implement systems for monitoring, alerting, and data pipeline management
  • Participate in code reviews and best-practice development
  • Manage multiple projects and priorities with ownership and accountability

Benefits

  • Health and Dental Insurance
  • Supplemental Vision Insurance
  • Company Paid Life and Long-Term Disability Insurance
  • Short-term Disability
  • Retirement Savings Account (Traditional & Roth 401k)
  • Flexible Spending Plan for Dependent Care
  • Health Savings Account (HSA) for Medical Expenses
  • Bonus Plan for exempt employees
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance
Full Job Description
This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization.

Data Engineer

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.

Responsibilities
  • 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

Requirements
  • 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

Desired Attributes
  • 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

Visa sponsorship is NOT available for this position.

Salary Range: $80,000-$120,000/year: Commensurate with experience

Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Bereavement Leave
  • Employee Assistance Programs (EAP)
  • Education Assistance

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