Data Engineer
We’re ALTEN Technology USA, an engineering company that provides solutions for engineering, technology, and product development projects. For decades, we’ve been helping our clients develop products that are changing the world, whether that’s by shaping the future of space exploration, saving lives with medical devices that set a new standard of care, or creating the fully autonomous electric taxi of tomorrow. Our team of more than 600 people works across industries including aerospace, medical devices and life sciences, unmanned systems and robotics, automotive OEM and tier 1 suppliers, commercial vehicle, electric vehicles, rail, and more. Our offices across the US have different industry focuses and engage with our clients in different ways, ranging from working on-site at client facilities to performing product development at our delivery centers.
ALTEN Group, our parent company, has been a leader in engineering and information technology for more than 30 years. ALTEN Group operates in 30 countries across Europe, North America, Asia, Africa and the Middle East and employs more than 36,000 people, 88% of whom are engineers. The company covers the whole development cycle and offers a choice of service levels, from technology consulting to complete project outsourcing.
When you join ALTEN Technology USA, you join a group of people passionate about collaborating to solve some of the world’s most technical engineering challenges. Our success is tied to taking care of our employees by building relationships and providing opportunities for mentorship and career growth. We offer comprehensive benefits for all full-time employees, including medical, dental, and vision insurance; a 401(k) plan with employer matching; paid time off (PTO); paid parental leave; and mentorship to help you take your career to the next level. You don’t have to take our word for it that we are a great place to work—we were named on the 2023 Top Workplaces list thanks to feedback from our proud employees.
We are seeking a highly skilled and versatile Data Analyst / Data Engineer. The ideal candidate will possess a dual competency in engineering, with proficiency in at least two of the following areas: data engineering, project management, mechanical engineering, etc. This individual will be responsible for deciphering complex data sets, leveraging their expertise in data analysis and engineering to derive actionable insights. Experience with heavy-duty commercial battery-electric vehicles, fuel-cell electric vehicles, or energy solutions preferred!
Essential Duties and Responsibilities include the following. Other duties may be assigned.
- Utilize expertise in data engineering and analysis to decipher complex data sets.
- Demonstrate proficiency in power current and battery engineering knowledge, with a strong preference for experience in fuel cell truck technology.
- Possess dual majors in college, with a focus on machine learning, AI, material science, computer science, software engineering, or related fields.
- Leverage material and manufacturing knowledge to enhance data analysis and engineering processes.
- Collaborate effectively with cross-functional teams to drive project success.
Qualifications -
The requirements listed below are representative of the knowledge, skills, and/or abilities required.
- Bachelor's degree or higher in a relevant field (e.g., engineering, computer science, data science, etc.).
- Proven experience in data engineering, data analysis, or related roles.
- Strong proficiency in programming languages and tools commonly used in data science and data engineering, including but not limited to Pandas, SQL, PostgreSQL, SQLAlchemy, PySpark, and PyArrow.
- Excellent problem-solving skills and the ability to think critically to derive insights from data.
- Effective communication skills and the ability to collaborate with diverse teams.
- Experience in the material science or manufacturing industry is a plus.
Salary Range: $105,000 - $ 115,000 (MAXIMUM)
ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual’s age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status.