

TRIMAH TECHNOLOGIES LLC
Data Engineer Lead (W2/Onsite/Local/Columbus, OH)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer, W2 contract for 6+ months, based onsite in Columbus, OH. Requires 7+ years in data management, strong database programming skills, and experience in data integration and quality. Bachelor's degree necessary.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
August 7, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Columbus, OH
-
π§ - Skills detailed
#Programming #Business Analysis #Data Governance #Data Pipeline #Data Quality #Data Analysis #Data Science #Statistics #Data Integration #Leadership #Data Management #Data Engineering #Data Catalog #Computer Science #Automation
Role description
Job Title: Lead Data Engineer
Location: (Onsite/Local/Columbus, OH)
Job Type: W2 Contract / 6 Months+
Visa: W2 Only/USC/GC
JOB DESCRIPTION
Summary:
The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools, as well as, being interested in leading and developing current team members, while also serving as a technical leader. This position primarily leads the building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. This role will also test for data quality to ensure data conforms to business rules and is accurate, complete, consistent, and uniform.
Duties and Responsibilities:
Architecting, creating and maintaining data pipelines.
Assist with renovating the data management infrastructure to drive automation in data integration and management.
Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
Demonstrated ability to communicate complex results to technical and non-technical audiences.
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
Strategic, intellectually curious thinker with focus on outcomes.
Professional image with the ability to form relationships across functions.
Provides leadership, coaching, and mentoring to team members, and develops team to work with all areas of the organization.
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
Anticipates and analyzes trends in technology while assessing the emerging technologyβs impact(s).
Coaches' individuals through change and serves as a role model.
Performs other duties as assigned.
Basic Qualifications:
Bachelor's Degree in computer science, statistics or related field
7+ years of related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
7+ years of experience with database programming languages and advanced analytics
Job Title: Lead Data Engineer
Location: (Onsite/Local/Columbus, OH)
Job Type: W2 Contract / 6 Months+
Visa: W2 Only/USC/GC
JOB DESCRIPTION
Summary:
The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools, as well as, being interested in leading and developing current team members, while also serving as a technical leader. This position primarily leads the building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise. This role will also test for data quality to ensure data conforms to business rules and is accurate, complete, consistent, and uniform.
Duties and Responsibilities:
Architecting, creating and maintaining data pipelines.
Assist with renovating the data management infrastructure to drive automation in data integration and management.
Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
Demonstrated ability to communicate complex results to technical and non-technical audiences.
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
Strategic, intellectually curious thinker with focus on outcomes.
Professional image with the ability to form relationships across functions.
Provides leadership, coaching, and mentoring to team members, and develops team to work with all areas of the organization.
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
Anticipates and analyzes trends in technology while assessing the emerging technologyβs impact(s).
Coaches' individuals through change and serves as a role model.
Performs other duties as assigned.
Basic Qualifications:
Bachelor's Degree in computer science, statistics or related field
7+ years of related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
7+ years of experience with database programming languages and advanced analytics






