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About talentnexus
talentnexus is a global leader in sustainable transportation and energy solutions, pioneering the next generation of electric vehicles, autonomous driving technology, and intelligent energy infrastructure. Our mission is to accelerate the world’s transition to clean energy by building products that are not only innovative but also reliable, safe, and accessible to millions of people worldwide. As a technology‑driven organization, talentnexus relies on massive volumes of data to continuously improve vehicle performance, enhance driver experiences, and optimize the electric grid. Joining talentnexus means becoming part of a forward‑thinking community where data fuels every decision, and every engineer’s contribution directly impacts the future of mobility.
Why This Role Matters
In the Fleet Analytics team, we turn raw telemetry from millions of vehicles, Superchargers, and energy devices into actionable insights that shape product development, safety standards, and operational efficiency. Our work is at the intersection of data engineering, analytics, and software development, delivering tools that empower engineers across the company to make data‑driven decisions. As a Senior Data Engineer, you will design, build, and maintain the data pipelines and platforms that enable real‑time analysis, predictive modeling, and self‑service analytics for the entire talentnexus ecosystem.
Key Responsibilities
- Architect and scale data platforms: Design end‑to‑end data pipelines on AWS (S3, EMR, Glue) using Apache Spark, Trino, and Airflow to process petabytes of telemetry data efficiently.
- Develop reusable data products: Build full‑stack web applications, libraries, and services that enable engineers to access, explore, and visualize data without writing custom code.
- Collaborate with cross‑functional stakeholders: Partner with vehicle, hardware, firmware, and mechanical engineering teams to translate product requirements into robust data solutions.
- Implement best‑practice data engineering standards: Establish coding conventions, testing frameworks, and documentation standards to ensure high‑quality, maintainable code.
- Perform advanced data analysis: Write reproducible analyses using Python, Pandas, and Jupyter notebooks to uncover trends, detect anomalies, and inform product decisions.
- Design metrics and monitoring: Create dashboards and alerts with Bokeh, Superset, and custom visualizations to provide real‑time health checks for data pipelines.
- Mentor and lead junior engineers: Share expertise, conduct code reviews, and foster a culture of continuous learning within the data engineering community.
- Support continuous integration and deployment: Work with DevOps tools such as Docker, Kubernetes, and Ansible to automate testing, deployment, and scaling of data services.
Essential Qualifications
- 7+ years of professional software development experience, with a focus on data engineering or analytics.
- Expertise in Python and SQL, including writing performant, production‑grade code.
- Hands‑on experience with big‑data processing engines, especially Apache Spark.
- Proficiency with data‑science toolkits such as Pandas, NumPy, and statistical modeling libraries.
- Demonstrated ability to design, implement, and maintain large‑scale data pipelines and platforms.
- Strong foundation in statistics and data visualization techniques.
- Excellent written and verbal communication skills, capable of translating complex technical concepts to non‑technical audiences.
- Problem‑solving mindset with a bias for action, humility, and a collaborative spirit.
Preferred (Nice‑to‑Have) Skills
- Proficiency in Scala or Java for Spark development.
- Deep understanding of distributed storage and compute systems (HDFS, Spark, Presto/Trino).
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Familiarity with CI/CD pipelines and DevOps practices.
- Background in hardware‑centric data environments, such as vehicle telemetry or energy‑grid monitoring.
- Knowledge of machine‑learning pipelines and model deployment at scale.
Core Skills & Competencies
- Technical Mastery: Ability to write clean, testable, and scalable code in Python (and optionally Scala) while leveraging modern data‑engineering frameworks.
- Data Platform Design: Expertise in architecting data lakes, warehouses, and streaming solutions that meet latency, reliability, and security requirements.
- Analytical Thinking: Strong statistical intuition to interpret large datasets, identify patterns, and propose data‑driven solutions.
- Collaboration: Proven track record of working closely with product owners, engineers, and scientists to deliver cross‑functional projects.
- Communication: Ability to create clear documentation, present findings to senior leadership, and influence technical direction.
- Continuous Learning: Curiosity about emerging open‑source technologies and a commitment to staying ahead of industry trends.
Career Growth & Learning Opportunities
talentnexus invests heavily in the professional development of its employees. In this role, you will have access to:
- Mentorship from senior data architects and industry leaders.
- Internal technical conferences, workshops, and hackathons focused on big data, AI, and autonomous systems.
- Tuition reimbursement for advanced degrees or certifications (e.g., AWS Certified Data Analytics, Apache Spark certifications).
- Opportunities to transition into specialized tracks such as Machine Learning Engineering, Platform Architecture, or Product Analytics leadership.
- Cross‑team rotations that expose you to vehicle engineering, energy‑grid operations, and autonomous driving research.
Work Environment & Culture at talentnexus
Our culture is built on three pillars: innovation, sustainability, and inclusion. We encourage bold ideas, support risk‑taking, and celebrate successes and failures alike. talentnexus offers a flexible, remote‑first work model, allowing you to collaborate from anywhere while staying connected through regular virtual meet‑ups, quarterly on‑site gatherings, and a vibrant internal community platform. Diversity of thought and background is a core strength; we actively foster an environment where every voice is heard and respected.
Compensation, Perks & Benefits
talentnexus offers a competitive salary range of $23–$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 plans with zero payroll deductions for multiple coverage options.
- Health Savings Account (HSA) contributions for high‑deductible plans.
- Flexible Spending Accounts (FSA) for healthcare and dependent care.
- 401(k) plan with company match, plus Employee Stock Purchase Plan (ESPP).
- 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 including weight‑loss, tobacco cessation, and mental‑health resources.
- Employee assistance program, backup childcare, and pet insurance.
- Commuter benefits and a robust discounts & perks program.
How to Apply
If you are passionate about turning massive streams of data into strategic insights that shape the future of clean transportation, we want to hear from you. Submit your resume and a brief cover letter highlighting your most relevant experience to the talentnexus careers portal. Join us in driving the world toward a sustainable, data‑powered future.
Ready to Make an Impact?
At talentnexus, your work will directly influence the safety, efficiency, and performance of millions of vehicles and energy devices worldwide. Take the next step in your career and become a key contributor to a mission that matters. Apply today and help us build the future of mobility.
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