Data Engineer

Jobtailor

Dearborn (MO)

On-site

USD 120,000 - 180,000

Full time

4 days ago

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Job summary

Jobtailor is seeking a Senior Data Engineer to collaborate across teams and design a scalable data architecture for Connected Vehicle Software. You will source data, ensure effective transformation practices, and build data pipelines in cloud environments.

You will implement MLOps pipelines in GCP and AWS, integrate Vertex AI, monitor data quality, mentor junior engineers, and translate analytical challenges into AI/ML solutions for product development.

Qualifications

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

Responsibilities

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

Skills

Java

Python

Spark

Scala

SQL

Data Warehousing

Microservices Architecture

REST APIs

Real-Time Streaming

Data Product Development

Cloud Data Engineering

Education

Master’s degree in Computer Science/Software Engineering/Information Systems/Data Engineering

Tools

GCP

AWS

Vertex AI

Airflow

Cloud Run

MySQL

PostgreSQL

SQL Server

Apache Kafka

GCP Pub/Sub

Job description

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.

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