arenaflex is seeking a highly skilled and motivated Staff Data Engineer to join our Fleet Analytics team. This is a unique opportunity to work at the intersection of big data, software engineering, and innovation—helping to shape the future of data-driven decision-making across our organization. If you're passionate about leveraging massive datasets to drive meaningful impact, build scalable data solutions, and work with cutting-edge technologies, we'd love to hear from you.
At arenaflex, data is deeply embedded in our product development and engineering culture. We rely on vast amounts of information to enhance autonomous driving features, optimize hardware designs, proactively identify potential issues, and improve overall system performance. We collect and analyze data from millions of connected devices across our product ecosystem to make our products safer, smarter, and more efficient.
Our Fleet Analytics group serves as a critical enabler, empowering multiple teams to leverage the wealth of data we accumulate. We support engineers by providing direct data analysis and by developing self-service tools and applications. We operate a state-of-the-art internal data platform built on cloud infrastructure, utilizing open-source data science tools including Jupyter notebooks, Pandas, Bokeh, Superset, and Airflow. Our work has an immediate and measurable impact on product development and enables hundreds of engineers across disciplines to make data-informed decisions.
We are looking for a talented Staff Data Engineer to develop applications that leverage our extensive device data. This role spans the full breadth of data engineering, analysis, and data science activities. You'll take a first-principles approach to problem-solving to inform future hardware and firmware designs while ensuring our existing products continue to meet our exacting standards. Your applications will include full-stack web applications, software frameworks for efficient training and modeling, and complex systems that drive actionable insights. You'll be responsible for bringing these solutions from concept to production in collaboration with the Fleet Analytics team, while providing ongoing maintenance and user support. Additionally, you'll occasionally partner with specialized teams in mechanical engineering, electrical engineering, or firmware engineering—joining critical missions to help define product requirements, optimize control algorithms, and improve overall product quality.
What You'll Do
- Work closely with stakeholders to develop and maintain complex software systems that amplify the use of device data across the organization
- Provide guidance to the data engineering and data science community regarding best practices, coding standards, and architectural patterns
- Collaborate with engineers to drive adoption and utilization of applications and tools throughout the company
- Write reproducible data analysis code over massive datasets using modern open-source technologies and cloud-based processing frameworks
- Summarize and effectively communicate data analysis assumptions, methodologies, and results to both technical and non-technical audiences
- Build robust data pipelines to optimize the performance and accuracy of analysis workflows across the organization
- Design and implement metrics, applications, and self-service tools that empower engineers to derive their own data insights
- Write clean, well-tested, and maintainable code that can be extended by other software engineers
- Participate in code reviews, knowledge sharing sessions, and continuous improvement initiatives
- Mentor junior team members and contribute to the professional development of your colleagues
What You'll Bring
- 7+ years of professional software development experience in a related field
- Strong proficiency in Python and SQL, with the ability to write efficient and optimized queries
- Extensive experience with distributed data processing engines such as Apache Spark or similar frameworks
- Proficiency with data science tools including Pandas, NumPy, R, MATLAB, or Octave
- Demonstrated experience building data pipelines, web applications, and machine learning models in a professional environment
- A solid foundation in statistics and quantitative analysis methods
- Experience creating informative and visually appealing data visualizations
- Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences
- Excellent problem-solving skills with the ability to refine ambiguous problem statements and determine optimal solutions using available data and first principles
- A growth mindset—intellectually curious, humble, with a strong bias for action and iteration
- Ability to work independently and as part of a collaborative team in a fast-paced environment
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field (or equivalent practical experience)
Nice to Have
- Strong proficiency in Scala or other JVM-based languages
- Understanding of distributed computing concepts and architectures (HDFS, Spark, Presto/Trino)
- Experience with DevOps tools and practices—Linux, Ansible, Docker, Kubernetes, or similar technologies
- Experience working with complex hardware systems and embedded data
- Familiarity with continuous integration and continuous deployment (CI/CD) pipelines
- Experience with cloud platforms and services (infrastructure, serverless computing, managed data services)
- Knowledge of machine learning workflows, model training, and deployment practices
- Experience in the automotive, IoT, or connected device industries
Why Join arenaflex?
At arenaflex, we believe in pushing the boundaries of what's possible. We're not just building products—we're shaping the future of transportation, energy, and technology. As a Staff Data Engineer on our Fleet Analytics team, you'll have the opportunity to work on some of the most challenging and impactful data problems in the industry, with direct visibility into how your work influences product decisions and customer experiences.
We're a team of passionate engineers, data scientists, and problem-solvers who value collaboration, innovation, and continuous learning. You'll work alongside talented colleagues who are equally committed to excellence and who will support your growth and development throughout your career at arenaflex.
Career Growth & Learning Opportunities
We invest in our people. As a senior member of our team, you'll have access to numerous opportunities for professional development, including:
- Mentorship from senior engineers and technical leaders
- Access to internal training programs, workshops, and knowledge-sharing sessions
- Exposure to cutting-edge technologies and big data architectures
- Cross-functional collaboration opportunities with teams across the organization
- Career advancement paths into technical leadership or specialized domains
- Support for attending industry conferences, certifications, and advanced education
Work Environment & Culture
We're proud to foster a collaborative, inclusive, and innovative work environment. We believe that diverse perspectives drive better solutions, and we're committed to creating a workplace where everyone feels valued, respected, and empowered to do their best work. Our culture emphasizes accountability, intellectual honesty, and a relentless pursuit of excellence.
We offer flexible work arrangements to support work-life balance, including remote and hybrid options depending on role requirements and location. Our offices are designed to facilitate collaboration and creativity, with modern amenities and spaces that support both focused work and team interaction.
Compensation & Benefits
We offer competitive compensation packages that reflect the skills, experience, and contributions our employees bring to the team. The salary range for this position is $23-40 per hour, depending on qualifications and experience.
In addition to competitive pay, full-time employees are eligible for a comprehensive benefits package from day one of employment, including:
- Health Insurance: Multiple plan options including PPO and HSA plans with minimal payroll deduction
- Dental & Vision: Comprehensive coverage with orthodontic options
- Family Benefits: Fertility, adoption, surrogacy, and family-building support
- Financial Security: 401(k) with company match, employee stock purchase plans, and other financial benefits
- Life & Disability Insurance: Company-paid basic life, AD&D, short-term and long-term disability coverage
- Paid Time Off: Generous vacation, sick leave, and paid holidays
- Employee Assistance Program: Resources for personal and professional challenges
- Parental Support: Back-up childcare, parenting resources, and the arenaflex Babies program
- Wellness Programs: Weight loss, tobacco cessation, and wellness initiatives
- Commuter Benefits: Support for transportation costs
- Employee Perks: Discounts and access to exclusive programs
- Voluntary Benefits: Options for critical illness, accident, and pet insurance
How to Apply
If you're ready to make an impact, solve complex data challenges, and be part of something truly transformative, we encourage you to apply for this position. Join arenaflex and help us build the future of data-driven innovation.
We're excited to review your application and learn more about how your skills and experience align with this role. Take the next step in your career and become part of a team that's redefining what's possible.
arenaflex is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to creating a diverse and inclusive workplace.