AI Data Engineer, Automotive

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.

Description:

Responsibilities:

•    Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and storing large volumes of diverse automotive data (e.g., sensor data, vehicle telematics, manufacturing data, customer data).
•    Build and optimize data warehouses, data lakes, and other data storage solutions to support AI/ML workloads
•     Implement data quality checks and monitoring systems to ensure data accuracy, consistency, and reliability.
•    Collaborate with data scientists and machine learning engineers to understand their data requirements and provide efficient data access.
•    Develop and maintain ETL/ELT processes using various tools and technologies. 
•    Implement data governance policies and ensure compliance with data security and privacy regulations.
•     Monitor and troubleshoot data pipeline performance and identify areas for optimization.     
•    Stay up-to-date with the latest advancements in data engineering technologies and best practices.    
•    Document data pipelines, data models, and data engineering processes. 
•    Participate in the design and implementation of data APIs for seamless data access.

Required Qualifications:
•    Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related field.
•    Minimum of 3 years of experience in data engineering, with a focus on building data pipelines for analytics and/or AI/ML applications.
•     Strong proficiency in programming languages such as Python and SQL.
•    Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).
•    Experience with data lake technologies (e.g., Hadoop, Spark, Delta Lake).
•    Hands-on experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Informatica, Talend).
•    Understanding of data modeling principles and database design.
•    Experience with data quality and data governance practices.
•    Familiarity with version control systems (e.g., Git).
•    Excellent problem-solving and analytical skills.
•    Strong communication and collaboration skills.

Preferred Qualifications:
•    Experience working with automotive data (e.g., CAN bus data, sensor data).   
•    Experience with stream processing technologies (e.g., Kafka, Flink, Kinesis).
•    Experience with containerization technologies (e.g., Docker, Kubernetes).  
•    Familiarity with machine learning workflows and data requirements for model training and deployment.
•    Experience with MLOps principles and tools.
•     Experience with NoSQL databases.
•    Knowledge of data security and privacy regulations relevant to the automotive industry.

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.

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