Experienced Staff Data Engineer – Fleet Analytics & Big Data Platform Development (Remote/Hybrid)
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.
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