Dexian - Signature Consultants
Data Engineer
Learn more about the general tasks related to this opportunity below, as well as required skills.
On site 4 days a week in Dearborn, MI
W2 Only - no sponsorship offered for this position
Python, Cloud (preferably GCP), SQL, Apache Spark, Kafka, Data Mapping & Cataloging, CI/CD
Dexian is seeking a
Data Engineering Engineer
to design, build, and maintain scalable data infrastructure and pipelines in support of advanced product development and AI-driven initiatives
This is a hands-on, operations-focused backend role. The engineer will "hold the fort" operationally - ensuring pipelines are healthy, data is mapped and cataloged, and the right data is in the right place. You'll work closely with another data engineer who is currently writing APIs, mapping elements, and building advanced Python scripts to normalize and pipeline data. This role ensures the ongoing health and scalability of pipelines, while also enabling Dexian to industrialize AI applications and scale innovative models into enterprise-ready solutions
Key Responsibilities
Collaborate with business, technology, and AI/ML teams to define data requirements and delivery standards
Partner with another data engineer to manage backend operations, pipeline stability, and scaling
Write advanced Python and SQL scripts for normalization, transformation, and cataloging of data
Design, build, and maintain cloud-native ETL pipelines (Kafka, Spark, Beam, GCP Dataflow, Pub/Sub, EventArc)
Architect and implement data warehouses and unified data models to integrate siloed data sources
Perform data mapping and cataloging to ensure accuracy, traceability, and consistency
Automate pipeline orchestration, event-driven triggers, and infrastructure provisioning
Troubleshoot and optimize data workflows for performance and scalability
Support CI/CD processes with Git/GitHub and Cloud Build
Work cross-functionally to integrate new applications into existing data models and scale them effectively
Must-Have Skills
Candidates must bring the following as a complete package:
Advanced
Python
(scripting, backend operations, transformations)
Advanced
SQL
(complex queries, backend optimization)
Apache Spark/Kafka
(large-scale ETL/data processing)
Cloud experience
(GCP preferred, but AWS or Azure equally acceptable if adaptable)
Data mapping and cataloging
(governance, traceability, accuracy)
Event-driven pipeline design
(e.g., EventArc, Pub/Sub, AWS equivalents)
Data warehouse design & cloud-native storage
(BigQuery, Snowflake, Redshift)
CI/CD pipeline tools
(GitHub, Cloud Build, or equivalents)
Familiarity with
data governance and orchestration
practices
Nice-to-Have Skills
(Not required, but will help a candidate stand out):
Java or Powershell scripting
Awareness of ML/AI concepts - curiosity and willingness to learn valued
Experience & Education
~5 years of data engineering experience
Bachelor's Degree in Computer Science, Data Engineering, or related field (Master's in Data Science is a plus)
Industry background flexible - non-automotive engineers can succeed if able to adapt quickly
Personality & Team Fit
Ownership mentality: treats projects like their own, takes initiative without reminders
Curious & proactive: stays current with new technologies, eager to learn
Positive & collaborative: fits into a young, energetic team; keeps the atmosphere light but focused
Problem solver: navigates cross-functional challenges and proposes actionable solutions
Willing to put in extra effort (early/late work when needed) to help the team succeed
Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Learn more about the general tasks related to this opportunity below, as well as required skills.
On site 4 days a week in Dearborn, MI
W2 Only - no sponsorship offered for this position
Python, Cloud (preferably GCP), SQL, Apache Spark, Kafka, Data Mapping & Cataloging, CI/CD
Dexian is seeking a
Data Engineering Engineer
to design, build, and maintain scalable data infrastructure and pipelines in support of advanced product development and AI-driven initiatives
This is a hands-on, operations-focused backend role. The engineer will "hold the fort" operationally - ensuring pipelines are healthy, data is mapped and cataloged, and the right data is in the right place. You'll work closely with another data engineer who is currently writing APIs, mapping elements, and building advanced Python scripts to normalize and pipeline data. This role ensures the ongoing health and scalability of pipelines, while also enabling Dexian to industrialize AI applications and scale innovative models into enterprise-ready solutions
Key Responsibilities
Collaborate with business, technology, and AI/ML teams to define data requirements and delivery standards
Partner with another data engineer to manage backend operations, pipeline stability, and scaling
Write advanced Python and SQL scripts for normalization, transformation, and cataloging of data
Design, build, and maintain cloud-native ETL pipelines (Kafka, Spark, Beam, GCP Dataflow, Pub/Sub, EventArc)
Architect and implement data warehouses and unified data models to integrate siloed data sources
Perform data mapping and cataloging to ensure accuracy, traceability, and consistency
Automate pipeline orchestration, event-driven triggers, and infrastructure provisioning
Troubleshoot and optimize data workflows for performance and scalability
Support CI/CD processes with Git/GitHub and Cloud Build
Work cross-functionally to integrate new applications into existing data models and scale them effectively
Must-Have Skills
Candidates must bring the following as a complete package:
Advanced
Python
(scripting, backend operations, transformations)
Advanced
SQL
(complex queries, backend optimization)
Apache Spark/Kafka
(large-scale ETL/data processing)
Cloud experience
(GCP preferred, but AWS or Azure equally acceptable if adaptable)
Data mapping and cataloging
(governance, traceability, accuracy)
Event-driven pipeline design
(e.g., EventArc, Pub/Sub, AWS equivalents)
Data warehouse design & cloud-native storage
(BigQuery, Snowflake, Redshift)
CI/CD pipeline tools
(GitHub, Cloud Build, or equivalents)
Familiarity with
data governance and orchestration
practices
Nice-to-Have Skills
(Not required, but will help a candidate stand out):
Java or Powershell scripting
Awareness of ML/AI concepts - curiosity and willingness to learn valued
Experience & Education
~5 years of data engineering experience
Bachelor's Degree in Computer Science, Data Engineering, or related field (Master's in Data Science is a plus)
Industry background flexible - non-automotive engineers can succeed if able to adapt quickly
Personality & Team Fit
Ownership mentality: treats projects like their own, takes initiative without reminders
Curious & proactive: stays current with new technologies, eager to learn
Positive & collaborative: fits into a young, energetic team; keeps the atmosphere light but focused
Problem solver: navigates cross-functional challenges and proposes actionable solutions
Willing to put in extra effort (early/late work when needed) to help the team succeed
Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.