Data Engineer

Collaborate across teams and internal organizations to develop a wider data architecture plan for Connected Vehicle Software Work with data stewards and data owners to source and understand data and ensure effective data transformation practices Streamline data acquisition, processing, and presentation with data analytics stakeholders Analyze connected vehicle data to support new product development and production vehicle improvements Design and build a Semantic Data layer to serve AI agents Design and implement scalable data science and MLOps pipelines in GCP and AWS Integrate cloud technologies and AI tools such as Vertex AI into workflows Translate vehicle engineering problems into mathematical representations and AI/ML solutions Develop and maintain data quality systems across the development lifecycle Build pipelines monitoring data quality and analytical model and agentic solution performance Translate technical work for diverse stakeholders and mentor junior data engineering team members Requirements Master’s degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience; or equivalent education and experience, including 6+ years with a bachelor’s degree 4 years of professional experience in data engineering, data product development, and software product launches Proficiency in at least three of Java, Python, Spark, Scala, and SQL 3 years of cloud data/software engineering experience building scalable, reliable, cost-effective batch and streaming production pipelines Experience with data warehouses such as Amazon Redshift, Microsoft Azure Synapse Analytics, and Google BigQuery Experience with workflow orchestration tools such as Airflow and Cloud Run Experience with relational databases including MySQL, PostgreSQL, and SQL Server Experience with real-time streaming platforms including Apache Kafka and GCP Pub/Sub Experience with microservices architecture for large-scale real-time data processing Experience with REST APIs for compute, storage, operations, and security Experience with DevOps tools including Tekton, GitHub Actions, Git, GitHub, Terraform, and Docker Experience with Atlassian JIRA Comfort working in ambiguous environments requiring innovative problem-solving Candidates must be legally authorized to work in the United States Visa sponsorship is not available Core Competencies Demonstrates expertise in data engineering and product development, with a strong focus on building scalable data pipelines and integrating cloud technologies. Proficient in translating complex vehicle engineering challenges into AI/ML solutions while ensuring data quality and effective collaboration across teams. Highest-signal resume keywords Data Engineering Cloud Data Engineering MLOps Pipelines Data Quality Systems AI/ML Solutions ATS Optimization Keywords Hard Skills Java Python Spark Scala SQL Data Warehousing Microservices Architecture REST APIs Real-Time Streaming Data Product Development Soft Skills Innovative Problem-Solving Mentoring Industry Keywords Connected Vehicle Software Data Architecture Data Transformation Data Analytics DevOps Tools & Technologies GCP AWS Vertex AI Airflow Cloud Run MySQL PostgreSQL SQL Server Apache Kafka GCP Pub/Sub #J-18808-Ljbffr Jobtailor