RFA Engineering (www.rfamec.com) 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.
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
You will be working with a high-velocity team of multi-disciplined engineers, developers, and architects that are developing big data pipelines to enable next-generation autonomous vehicles.
Responsibilities
- Developing and maintaining data pipelines that ingest and post-process video streams, sensor data logs, and related metadata to be stored and used for ML model training, regression testing, and analysis.
- Collaborate with data platform developers to perform functional verification and integration validation of data transformation processes.
- Develop and document common practices for data registration and configuration file generation
- Participate in code reviews, code optimization, and refactoring
Requirements
- Bachelor's degree or higher in Software Engineering, Computer Engineering, Electrical Engineering, Computer Science, or similar field or industry experience
- 2+ years of Python coding experience, familiar with utilizing packages such as pandas, NumPy, subprocess, argparse, json, csv, os
- 2+ years Git/GitHub experience and knowledge of branching best practices
- 1+ years experience with AWS cloud tools such as S3, ECR, Lambda, SQS/SNS, CloudFormation, or IAM role.
- 1+ years experience with SQL, relational databases, and tools such as MongoDB, AWS Athena, or Databricks Delta Lake
Desired Attributes
- Experience with large-scale data operations and transformation utilizing tools like PySpark, Kubeflow, or Docker containers
- Familiarity with CAN J1939 communication protocol
- Excellent interpersonal communication skills with the ability to lead conversations and collaborate
- Strong, demonstrated problem-solving and debugging skills
- Ability to influence others without authority
- Ability to work in a well-organized manner, provide clear status updates, and deliver results in a timely manner
Visa sponsorship is NOT available for this position.
About RFA Engineering
RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.
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
Equal Opportunity and Veteran Friendly
Preferred
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Bachelors of Science or better in Data Science or related field
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Bachelors of Science or better in Computer Engineering
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Bachelors of Science or better in Computer Science or related field
Preferred
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Data Analytics Data Mining
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Data Analytics Big Data
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