Why careerzynith? careerzynith is a global leader in sustainable transportation and clean‑energy technologies. With a portfolio that spans electric vehicles, high‑speed charging infrastructure, and intelligent grid‑management systems, careerzynith is redefining how people move and how power is delivered. Our mission is to accelerate the world’s transition to renewable energy by building products that are safe, efficient, and delightful to use. As part of this mission, data is the lifeblood of every decision – from autonomous driving algorithms to battery‑health monitoring and charger‑network optimization. If you thrive on turning massive data streams into actionable insights that shape the future of mobility, you’ve found the right place. Position Overview We are seeking a seasoned Senior Data Engineer to join our Remote Fleet Analytics team. This team serves as the analytical backbone for all of careerzynith’s vehicle, charger, and energy‑device data. You will design, build, and maintain high‑performance data pipelines, develop reusable analytics tools, and partner with engineers across hardware, firmware, and software domains to embed data‑driven decision‑making into every product release. Key Responsibilities End‑to‑end data platform development Architect, implement, and scale data pipelines on a modern AWS‑based stack (S3, Spark, Trino) that ingest petabytes of telemetry from vehicles, Superchargers, and grid‑connected devices. Tooling & library creation Build reusable Python/SQL libraries, Jupyter notebooks, and visualization dashboards (Bokeh, Superset) that enable engineers to explore data without writing boilerplate code. Stakeholder collaboration Partner with product, mechanical, electrical, and firmware teams to translate business requirements into robust data solutions that drive product improvements. Best‑practice advocacy Define and champion data‑engineering standards, code review processes, and testing frameworks to ensure high quality, maintainable code across the organization. Performance optimization Continuously monitor and tune data pipelines for latency, cost, and reliability, leveraging Airflow for orchestration and Spark/Trino for distributed processing. Insight communication Summarize complex analytical findings into clear, actionable recommendations for senior leadership and cross‑functional teams. Full‑stack development Contribute to both backend services (REST APIs, data services) and front‑end visualization components that empower self‑serve analytics. Mentorship & knowledge sharing Guide junior engineers, host brown‑bag sessions, and document best practices to foster a culture of continuous learning. Essential Qualifications 7+ years of professional software development experience, with a focus on data engineering or analytics. Expert‑level proficiency in Python and SQL , including experience writing clean, testable, and well‑documented code. Hands‑on experience with distributed data processing engines such as Apache Spark and query engines like Trino/Presto . Deep familiarity with data‑science toolkits Pandas, NumPy, SciPy, Matplotlib/Bokeh, and Jupyter . Proven track record designing and operating large‑scale data pipelines (ETL/ELT) that handle petabyte‑scale workloads. Strong statistical foundation and ability to apply statistical methods to real‑world engineering problems. Experience building data visualizations and dashboards that translate raw data into intuitive insights. Excellent verbal and written communication skills; ability to convey technical concepts to non‑technical audiences. Demonstrated problem‑solving mindset with a bias for action, humility, and a collaborative spirit. Preferred (Nice‑to‑Have) Qualifications Proficiency in Scala or other JVM languages for Spark development. Understanding of distributed storage concepts (HDFS, S3) and how they interact with processing engines. Experience with DevOps tooling Linux, Ansible, Docker, Kubernetes, and CI/CD pipelines. Background in working with complex hardware systems and telemetry data. Familiarity with continuous integration/continuous deployment (CI/CD) practices for data‑centric applications. Core Skills & Competencies Analytical Thinking Ability to dissect large, noisy datasets and extract meaningful patterns. Software Engineering Discipline Test‑driven development, version control (Git), code reviews, and documentation. Collaboration Comfortable working in cross‑functional, remote teams across multiple time zones. Adaptability Thrive in a fast‑moving environment where priorities shift based on product needs. Customer‑Centric Mindset Always consider how data solutions improve the end‑user experience and safety. Career Growth & Learning Opportunities careerzynith invests heavily in employee development. As a senior member of the Fleet Analytics group, you will have access to Mentorship from industry leaders in autonomous systems, battery technology, and cloud analytics. Sponsored certifications (e.g., AWS Certified Data Analytics, Apache Spark, Kubernetes). Internal hackathons and innovation labs where you can prototype cutting‑edge AI models for vehicle health prediction. Clear promotion pathways from Senior Engineer to Staff Engineer, Principal Engineer, and eventually Technical Fellow. Opportunities to rotate into adjacent domains such as firmware engineering, mechanical design, or product management. Work Environment & Culture at careerzynith Our remote‑first policy empowers you to work from anywhere in the United States while staying tightly connected to a vibrant, inclusive community. careerzynith’s culture is built on three pillars Innovation We encourage bold ideas, rapid experimentation, and data‑driven risk‑taking. Integrity Safety and reliability are non‑negotiable; every line of code is written with those values in mind. Collaboration Diverse perspectives are celebrated, and cross‑team partnerships are the norm, not the exception. Regular virtual town halls, team‑building events, and an open‑door leadership philosophy ensure you always have a voice and a clear view of the company’s strategic direction. Compensation, Perks & Benefits careerzynith offers a competitive hourly rate ranging from $23 to $40 per hour , commensurate with experience and expertise. In addition to base pay, you will receive a comprehensive benefits package that includes Medical, dental, and vision coverage with multiple plan options and zero payroll deductions for the primary plan. Health Savings Account (HSA) contributions for high‑deductible plans. Flexible Spending Accounts (FSA) for healthcare and dependent care. 401(k) plan with company match, Employee Stock Purchase Plan, and other financial incentives. Life, AD&D, short‑term and long‑term disability insurance. Generous paid time off, flexible holidays, and sick leave. Family‑building benefits fertility, adoption, surrogacy assistance, and parental leave. Wellness programs weight‑loss, tobacco‑cessation, mental‑health resources, and employee assistance. Remote‑work stipend for home‑office setup, high‑speed internet, and ergonomic equipment. Community perks pet insurance, commuter benefits, and exclusive discounts on careerzynith products. How to Apply If you are ready to leverage your data‑engineering expertise to drive the next generation of electric‑vehicle and energy‑grid innovations, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for careerzynith’s Remote Fleet Analytics team. Apply Now – Join careerzynith! Closing Thoughts At careerzynith, your work will have an immediate, tangible impact on millions of drivers and energy consumers worldwide. You will be part of a mission‑driven organization that values curiosity, rigor, and the relentless pursuit of excellence. Join us, and help shape a cleaner, smarter, and more connected future. Apply for this job