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# Data Engineer

- **Company:** V2soft Inc.
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, BigQuery, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Data Flow Control, Apache Hadoop, High-Level Architecture, Python (Programming Language), Data Processing, Google Cloud, Test-Driven Development (TDD), Sql Optimization, Apache Spark, Git, Apache Flink, Deployment Automation, Data Analytics, Apache Kafka, Software Version Control, Service Stack, Databricks
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-engineer-dearborn-mi-usa-58829681

## About the Role

Improve performance and adopt new technologies to boost efficiency * Apply test-driven development, CI/CD practices * Support security practices including data encryption and anonymization * Build user-friendly interfaces for data products * Develop and maintain back-end services and APIs * Evaluate emerging technologies and stay aligned with industry trends Tasks * 5+ years of progressive experience in data engineering or related role with focus on large-scale data systems * Expert proficiency in Python or Scala * Advanced SQL and complex data manipulation * Extensive experience with big data tech (Spark, Hadoop, Kafka, Flink) * Proven experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, Redshift, Athena, Glue; Data Factory, Databricks, BigQuery, Dataflow) * Strong data warehousing, data modeling (dimensional/relational), and ETL/ELT * Experience with version control systems (Git) * Excellent problem-solving, analytical and communication skills * aaaaa
aaav_ degree * Knowledge of data governance and security practices Key requirements * HYBRID / 4 days per week in the office

## Description

Experteer Overview In this role you will shape and govern large-scale data architectures to enable data-driven decisions. You'll lead design and implementation of data warehouses, lakes, and streaming platforms while collaborating with cross-functional teams. Your work will optimize pipelines and ensure data quality, security, and performance. This hybrid role blends hands-on engineering with strategic architecture to deliver scalable data solutions aligned with business goals. Compensation / Benefits * Engage with customers to understand use-cases and needs, advocating for user-centric data solutions * Design, develop, and deliver software and data architecture across full stack * Select technology stacks, integration approaches, and deployment strategies * Create high-level architecture designs outlining components and interfaces * Collaborate with product, design, and architecture teams to align on solutions * Define and implement software and data test strategies and governance * Improve performance and adopt new technologies to boost efficiency * Apply test-driven development, CI/CD practices * Support security practices including data encryption and anonymization * Build user-friendly interfaces for data products * Develop and maintain back-end services and APIs * Evaluate emerging technologies and stay aligned with industry trends Tasks * 5+ years of progressive experience in data engineering or related role with focus on large-scale data systems * Expert proficiency in Python or Scala * Advanced SQL and complex data manipulation * Extensive experience with big data tech (Spark, Hadoop, Kafka, Flink) * Proven experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, Redshift, Athena, Glue; Data Factory, Databricks, BigQuery, Dataflow) * Strong data warehousing, data modeling (dimensional/relational), and ETL/ELT * Experience with version control systems (Git) * Excellent problem-solving, analytical and communication skills * Bachelor's degree * Knowledge of data governance and security practices Key requirements * HYBRID / 4 days per week in the office


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