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About careeraxis – Pioneering the Future of Sustainable Mobility
careeraxis is a global leader in electric transportation, renewable energy, and intelligent mobility solutions. With a relentless focus on innovation, careeraxis designs and manufactures cutting‑edge electric vehicles, high‑performance charging infrastructure, and advanced energy storage systems that power a cleaner, more connected world. Our data‑driven culture fuels every aspect of the business—from autonomous driving algorithms to grid‑optimization strategies—making data engineering a cornerstone of our success.
Why This Role Matters
As a Remote Data Engineer on the Fleet Analytics team, you will directly influence how careeraxis’s massive fleet of vehicles, Superchargers, and energy devices generate, process, and act on data. Your work will enable engineers across product, hardware, firmware, and operations to make data‑informed decisions that improve safety, performance, and efficiency at scale. This is a unique opportunity to shape the data platform that powers the next generation of sustainable transportation.
Key Responsibilities
- Architect and maintain robust, production‑grade data pipelines that ingest petabytes of telemetry from vehicles, charging stations, and energy assets.
- Collaborate with cross‑functional stakeholders—including mechanical, electrical, and firmware engineers—to translate product requirements into scalable data solutions.
- Develop and ship full‑stack web applications that empower engineers to self‑serve analytics, visualizations, and model outputs.
- Lead the adoption of best practices for data engineering and data science across careeraxis, championing clean code, reproducibility, and performance optimization.
- Write high‑quality, testable Python and SQL code that can be maintained and extended by other software engineers.
- Design and implement metrics, dashboards, and tooling (using Jupyter, Pandas, Bokeh, Superset, Airflow, etc.) that surface actionable insights to internal teams.
- Perform deep data analysis on large‑scale datasets, summarizing findings and communicating results to both technical and non‑technical audiences.
- Participate in on‑call rotations and incident response to ensure data platform reliability and uptime.
- Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.
Essential Qualifications
- 7+ years of professional software development experience, preferably in data‑intensive environments.
- Expertise in Python and SQL, with a proven track record of building production‑grade data pipelines.
- Hands‑on experience with big‑data processing engines such as Apache Spark and query engines like Trino/Presto.
- Proficiency with data‑science toolkits including Pandas, NumPy, R, MATLAB, or Octave.
- Strong foundation in statistics and the ability to apply statistical methods to real‑world engineering problems.
- Demonstrated ability to create compelling data visualizations and dashboards for diverse audiences.
- Excellent verbal and written communication skills, with the ability to translate complex technical concepts into clear business value.
- Problem‑solving mindset, humility, and a bias for action—traits that align with careeraxis’s fast‑paced, innovative culture.
Preferred (Nice‑to‑Have) Qualifications
- Proficiency in Scala or other JVM‑based languages.
- Deep understanding of distributed computing concepts such as HDFS, Spark, and Presto.
- Experience with DevOps tooling—Linux, Ansible, Docker, Kubernetes—and CI/CD pipelines.
- Background in complex hardware systems and the ability to work closely with hardware engineering teams.
- Familiarity with continuous integration and continuous deployment (CI/CD) practices for data‑centric applications.
Core Skills & Competencies
- Technical Excellence: Mastery of modern data engineering frameworks, cloud platforms (AWS S3, EMR), and open‑source tooling.
- Analytical Thinking: Ability to dissect large datasets, identify patterns, and derive actionable insights.
- Collaboration: Strong teamwork skills, comfortable partnering with engineers from multiple disciplines.
- Communication: Clear articulation of technical decisions, data findings, and roadmap recommendations.
- Adaptability: Thrive in a dynamic environment where priorities shift rapidly and new challenges emerge daily.
Career Growth & Learning Opportunities
careeraxis invests heavily in the professional development of its employees. As a Remote Data Engineer, you will have access to:
- Mentorship programs with senior data scientists, architects, and product leaders.
- Internal technical conferences, hackathons, and knowledge‑sharing sessions.
- Tuition reimbursement for advanced degrees, certifications, and industry‑recognized courses.
- Opportunities to transition into specialized roles such as Machine Learning Engineer, Data Platform Architect, or Product Analytics Lead.
- Cross‑functional project rotations that broaden exposure to vehicle hardware, firmware, and energy‑grid analytics.
Work Environment & Culture at careeraxis
careeraxis fosters a culture of curiosity, inclusion, and relentless improvement. Our remote‑first policy empowers you to work from anywhere in the United States while staying tightly connected to a global team of innovators. Key cultural pillars include:
- Innovation at Scale: Every line of code you write can impact millions of vehicles on the road.
- Inclusivity & Belonging: Diverse perspectives are celebrated, and employee resource groups support underrepresented communities.
- Transparency: Leadership shares strategic goals openly, and data‑driven decision‑making is encouraged at all levels.
- Work‑Life Harmony: Flexible schedules, generous paid time off, and a results‑oriented approach let you balance personal priorities with professional ambition.
Compensation, Perks & Benefits
careeraxis offers a competitive hourly rate ranging from $23 to $40 based on experience and expertise, complemented by a comprehensive benefits package that includes:
- Medical, dental, and vision plans with zero payroll deductions for many options.
- Health Savings Account (HSA) contributions and flexible spending accounts (FSA) for healthcare and dependent care.
- Family‑building benefits—fertility, adoption, surrogacy, and parental leave support.
- 401(k) plan with company match, Employee Stock Purchase Plan, and additional financial incentives.
- Life, AD&D, short‑term and long‑term disability insurance.
- Employee Assistance Program, mental‑health resources, and LGBTQ+ concierge services.
- Paid holidays, flexible vacation policy, and sick leave.
- Wellness programs—including weight‑loss, tobacco‑cessation, and fitness subsidies.
- Commuter benefits, backup childcare resources, and a pet‑insurance option.
How to Apply
If you are passionate about turning massive streams of data into actionable intelligence and want to be part of a mission‑driven organization that is reshaping the future of mobility, we want to hear from you. Click the link below to submit your application and start your journey with careeraxis today.
Apply Now – Join careeraxis’s Remote Data Engineering Team!
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