Data Engineer Job Dearborn Missouri USA,Software Development

Location: Dearborn

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 Big Query
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 Dev Ops tools including Tekton, Git Hub Actions, Git, Git Hub, 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
Dev Ops

Tools & Technologies

GCP
AWS
Vertex AI
Airflow
Cloud Run
MySQL
PostgreSQL
SQL Server
Apache Kafka
GCP Pub/Sub

#J-18808-Ljbffr