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Data Engineer
Job Location:
Job Location:
Dearborn, MI - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
1 October 2026 (21 hours ago)
Posted:
Application Deadline:
29 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
V2Soft is a global leader in IT services and business solutions delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI IT staffing cloud computing engineering mobility testing and more. Certified with CMMI Level 3 and ISO standards V2Soft is committed to quality and security. Beyond our work we actively support local communities and non-profits reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at to know more.
Skills Required:
Data/Analytics dashboards
Skills Preferred:
GCP
Experience Required:
Bachelors degree in Computer Science Information Technology Information Systems Data Analytics or a related field (or equivalent combination of education and experience). 5-7 years of experience in Data Engineering or Software Engineering with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred). Strong proficiency in SQL Java and Python with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery Dataflow and DataProc. Solid understanding of Service-Oriented Architecture (SOA) and microservices and their application within a cloud data platform. Experience with relational databases (e.g. PostgreSQL MySQL) NoSQL databases and columnar databases (e.g. BigQuery). Knowledge of data governance frameworks data encryption and data masking techniques in cloud environments. Familiarity with CI/CD pipelines Infrastructure as Code (IaC) tools like Terraform and Tekton and other automation frameworks. Excellent analytical and problem-solving skills with the ability to troubleshoot complex data platform and microservices issues. Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g. BigQuery Dataflow Cloud Run DataProc). A passion for data innovation and continuous learning.
Education Required:
Bachelors Degree Hybrid Position 4 days a week onsite
Education Preferred:
Masters Degree
Additional Information :
Data Pipeline Architect & Builder: Spearhead the design development and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized high-quality and optimized for analytical use. Leverage cutting-edge tools and technologies including Python SQL and DBT/Dataform to build robust and efficient data pipelines. End-to-End Integration Expert: Utilize your full-stack skills to contribute to seamless end-to-end development ensuring smooth and reliable data flow from source to insight. GCP Data Solutions Leader: Leverage your deep expertise in GCP services (BigQuery Dataflow Pub/Sub Cloud Functions etc.) to build and manage data platforms that not only meet but exceed business needs and expectations. Data Governance & Security Champion: Implement and manage robust data governance policies access controls and security best practices fully utilizing GCPs native security features to protect sensitive data. Data Workflow Orchestrator: Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning championing best practices in Infrastructure as Code (IaC). Performance Optimization Driver: Continuously monitor and improve the performance scalability and efficiency of data pipelines and storage solutions ensuring optimal resource utilization and cost-effectiveness. Collaborative Innovator: Collaborate effectively with data architects application architects service owners and cross-functional teams to define and promote best practices design patterns and frameworks for cloud data engineering. Automation & Reliability Advocate: Proactively automate data platform processes to enhance reliability improve data quality minimize manual intervention and drive operational efficiency.
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Please visit us at to know more.
Skills Required:
Data/Analytics dashboards
Skills Preferred:
GCP
Experience Required:
Bachelors degree in Computer Science Information Technology Information Systems Data Analytics or a related field (or equivalent combination of education and experience). 5-7 years of experience in Data Engineering or Software Engineering with at least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred). Strong proficiency in SQL Java and Python with practical experience in designing and deploying cloud-based data pipelines using GCP services like BigQuery Dataflow and DataProc. Solid understanding of Service-Oriented Architecture (SOA) and microservices and their application within a cloud data platform. Experience with relational databases (e.g. PostgreSQL MySQL) NoSQL databases and columnar databases (e.g. BigQuery). Knowledge of data governance frameworks data encryption and data masking techniques in cloud environments. Familiarity with CI/CD pipelines Infrastructure as Code (IaC) tools like Terraform and Tekton and other automation frameworks. Excellent analytical and problem-solving skills with the ability to troubleshoot complex data platform and microservices issues. Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g. BigQuery Dataflow Cloud Run DataProc). A passion for data innovation and continuous learning.
Education Required:
Bachelors Degree Hybrid Position 4 days a week onsite
Education Preferred:
Masters Degree
Additional Information :
Data Pipeline Architect & Builder: Spearhead the design development and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized high-quality and optimized for analytical use. Leverage cutting-edge tools and technologies including Python SQL and DBT/Dataform to build robust and efficient data pipelines. End-to-End Integration Expert: Utilize your full-stack skills to contribute to seamless end-to-end development ensuring smooth and reliable data flow from source to insight. GCP Data Solutions Leader: Leverage your deep expertise in GCP services (BigQuery Dataflow Pub/Sub Cloud Functions etc.) to build and manage data platforms that not only meet but exceed business needs and expectations. Data Governance & Security Champion: Implement and manage robust data governance policies access controls and security best practices fully utilizing GCPs native security features to protect sensitive data. Data Workflow Orchestrator: Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning championing best practices in Infrastructure as Code (IaC). Performance Optimization Driver: Continuously monitor and improve the performance scalability and efficiency of data pipelines and storage solutions ensuring optimal resource utilization and cost-effectiveness. Collaborative Innovator: Collaborate effectively with data architects application architects service owners and cross-functional teams to define and promote best practices design patterns and frameworks for cloud data engineering. Automation & Reliability Advocate: Proactively automate data platform processes to enhance reliability improve data quality minimize manual intervention and drive operational efficiency.
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Required Experience:
IC
