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Senior Remote Data Engineer – Fleet Analytics & Data Platform – arenaflex (Remote/Hybrid)

Work from home Full-time role Hiring
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About arenaflex – Pioneering the Future of Mobility and Energy

arenaflex is a global leader in electric mobility, autonomous driving technology, and sustainable energy solutions. With a portfolio that spans cutting‑edge electric vehicles, high‑speed charging infrastructure, and intelligent grid management, arenaflex is redefining how the world moves and powers itself. Our mission is to accelerate the transition to a zero‑emission future by delivering products that are safe, reliable, and continuously improving through data‑driven innovation. As a data‑centric organization, arenaflex embeds analytics into every facet of product development, from vehicle firmware to charging station performance, ensuring that each decision is backed by rigorous insight.

Why This Role Matters

The Fleet Analytics team at arenaflex sits at the heart of our data ecosystem. We collect, store, and analyze petabytes of telemetry from every vehicle, charger, and energy device on the road. This data fuels improvements in autopilot algorithms, hardware reliability, fault detection, and grid load optimization. As a Senior Remote Data Engineer, you will design, build, and maintain the software platforms that turn raw telemetry into actionable intelligence for engineers across the company. Your work will have a direct impact on product quality, safety, and the overall customer experience.

Role Overview

We are seeking a highly skilled, self‑motivated engineer with a strong background in software development, data engineering, and analytics. In this role you will collaborate with cross‑functional stakeholders—including vehicle engineers, firmware developers, and mechanical designers—to create robust, scalable data pipelines and analytical tools. You will champion best practices, mentor junior engineers, and help shape the strategic direction of arenaflex’s data platform.

Key Responsibilities

  • Platform Development: Design, implement, and maintain end‑to‑end data pipelines on a modern AWS‑based stack (S3, EMR, Glue, Athena/Trino) that ingest, transform, and store telemetry at petabyte scale.
  • Full‑Stack Application Engineering: Build reusable, production‑grade web applications and services using Python, Flask/FastAPI, and modern front‑end frameworks to enable self‑serve analytics for engineers.
  • Data Processing & Analytics: Write performant Spark jobs and SQL queries to clean, aggregate, and enrich data, supporting downstream machine‑learning and statistical modeling.
  • Tooling & Automation: Develop and maintain CI/CD pipelines with Docker, Kubernetes, and Airflow to ensure reliable, repeatable deployments across environments.
  • Collaboration & Guidance: Partner with domain experts to translate business requirements into technical specifications, providing mentorship on data‑engineering best practices.
  • Visualization & Reporting: Create interactive dashboards using Superset, Bokeh, or Plotly that surface key performance indicators, anomaly detection, and trend analysis to stakeholders.
  • Performance Optimization: Continuously monitor and tune data pipelines for latency, throughput, and cost efficiency, leveraging cloud native tools and cost‑management strategies.
  • Documentation & Knowledge Sharing: Produce clear, concise documentation, Jupyter notebooks, and code comments to foster a culture of reproducibility and knowledge transfer.
  • Cross‑Disciplinary Projects: Occasionally join mechanical, electrical, or firmware teams to help define product requirements, optimize control algorithms, or improve hardware reliability based on data insights.

Essential Qualifications

  • 7+ years of professional software development experience, preferably in data‑intensive environments.
  • Expertise in Python and SQL; demonstrated ability to write clean, testable, and maintainable code.
  • Hands‑on experience with Apache Spark (PySpark) and distributed data processing frameworks.
  • Proficiency with data‑science libraries such as Pandas, NumPy, and statistical analysis tools (R, MATLAB, or Octave).
  • Strong foundation in statistics, hypothesis testing, and experimental design.
  • Experience building data pipelines, ETL processes, and data‑platform services at scale.
  • Ability to create compelling data visualizations and dashboards that communicate complex findings to non‑technical audiences.
  • Excellent written and verbal communication skills; comfortable presenting technical concepts to senior leadership.
  • Demonstrated problem‑solving mindset with a bias for action and a collaborative, humble attitude.

Preferred (Nice‑to‑Have) Qualifications

  • Proficiency in Scala or Java for Spark development.
  • Deep understanding of distributed storage and compute concepts (HDFS, S3, Presto/Trino).
  • Experience with DevOps tooling: Linux, Ansible, Docker, Kubernetes, and CI/CD frameworks.
  • Background in working with complex hardware systems and telemetry data.
  • Familiarity with continuous integration/continuous deployment (CI/CD) pipelines and automated testing.
  • Exposure to machine‑learning pipelines and model deployment in production.

Core Skills & Competencies

  • Technical Acumen: Ability to architect scalable systems, troubleshoot performance bottlenecks, and implement robust monitoring.
  • Analytical Thinking: Strong statistical intuition and the capacity to translate raw data into actionable insights.
  • Collaboration: Proven track record of working effectively with multidisciplinary teams, influencing without authority.
  • Leadership: Mentoring junior engineers, driving technical standards, and championing best practices across the organization.
  • Adaptability: Comfortable navigating a fast‑paced, evolving environment and learning new technologies quickly.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is limited only by your ambition. As a senior member of the Fleet Analytics team you will:

  • Lead high‑impact projects that shape the future of autonomous driving and energy management.
  • Gain exposure to cutting‑edge AI/ML research, hardware engineering, and large‑scale cloud infrastructure.
  • Participate in internal tech talks, hackathons, and continuous learning programs funded by arenaflex.
  • Progress into technical leadership roles such as Data Platform Lead, Principal Engineer, or Director of Analytics.
  • Collaborate with global research labs and partner universities on pioneering data‑driven initiatives.

Compensation, Perks & Benefits

arenaflex offers a competitive salary range ($23–$40 per hour) commensurate with experience, along with a comprehensive benefits package that includes:

  • Medical, dental, and vision coverage with multiple plan options and zero payroll deductions for select plans.
  • Health Savings Account (HSA) contributions and flexible spending accounts (FSA) for healthcare and dependent care.
  • 401(k) plan with company match, Employee Stock Purchase Plan (ESPP), and additional financial incentives.
  • Life, AD&D, short‑term and long‑term disability insurance, and employee assistance programs.
  • Generous paid time off, flexible holidays, and remote‑work flexibility for eligible roles.
  • Family‑building benefits: fertility, adoption, surrogacy assistance, and parental leave.
  • Wellness programs: weight‑loss, tobacco‑cessation, mental‑health resources, and on‑site or virtual fitness classes.
  • Commuter benefits, backup childcare, and pet insurance options.
  • Access to exclusive employee discounts, tech gear, and the arenaflex Babies program for new parents.

Work Environment & Culture at arenaflex

Our culture is built on curiosity, collaboration, and a relentless drive for excellence. Engineers at arenaflex enjoy:

  • A flat organizational structure that empowers every voice to be heard.
  • Cross‑functional teams that break down silos and encourage knowledge sharing.
  • State‑of‑the‑art cloud infrastructure and open‑source tooling that let you focus on solving real problems.
  • Regular “innovation days” where you can explore passion projects and present findings to the broader community.
  • Commitment to diversity, equity, and inclusion, ensuring a welcoming environment for all backgrounds.

How to Apply

If you are excited about turning massive streams of telemetry into insights that power the next generation of electric vehicles and sustainable energy solutions, we want to hear from you. Join arenaflex and be part of a mission‑driven team that is shaping the future of mobility.

Apply Now

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