

Experis UK
Data Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Denver, Colorado, offering $70-90/hour for a contract of unspecified length. Candidates must have 5+ years of experience, proficiency in Python, SQL, and Big Data platforms, and expertise in data modeling and ETL processes.
๐ - Country
United States
๐ฑ - Currency
$ USD
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๐ฐ - Day rate
720
-
๐๏ธ - Date
March 3, 2026
๐ - Duration
Unknown
-
๐๏ธ - Location
On-site
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
Denver, CO 80206
-
๐ง - Skills detailed
#"ETL (Extract #Transform #Load)" #Azure #AWS (Amazon Web Services) #Data Extraction #Big Data #Database Design #Python #Scripting #Databricks #Logging #Compliance #Data Engineering #Scala #Security #Data Quality #Cloud #GCP (Google Cloud Platform) #Data Mining #Hadoop #SQL (Structured Query Language)
Role description
Our client, a leading organization in the technology and data industry, is seeking a Data Engineer to join their team. As a Data Engineer, you will be part of the Data Engineering Department supporting the Data Team. The ideal candidate will have strong problem-solving skills, excellent communication abilities, and a proactive mindset, which will align successfully in the organization.
Job Title: Data Engineer
Location: Denver, Colorado
Pay Range: $70-90/hour based on experience
โข
โข
โข No 3rd Parties/Corp-to-Corp Allowed
โข
โข What's the Job?
Independently design, build, and launch new data extraction, transformation, and loading processes in production.
Identify the data needed for business problems and implement logging to ensure data availability, working with data infrastructure to troubleshoot issues and resolve them.
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operational efficiency.
Design, build, and launch new data models to support evolving business needs.
Support existing processes running in production and implement optimized solutions with limited guidance, working with large-scale data environments.
What's Needed?
Minimum of 5 years of relevant experience in data engineering or similar roles.
Technical expertise with data models, data mining, and segmentation techniques.
Proficiency in Python, Scala, SQL, and scripting languages.
Experience with Big Data platforms such as Databricks, EMR, Hadoop.
Hands-on experience with SQL database design, ETL tools, and cloud environments like AWS, GCP, or Azure.
What's in it for me?
Opportunity to work with cutting-edge big data technologies and large-scale data environments.
Engagement in meaningful projects that impact business operations and decision-making.
Collaborative and innovative work environment supporting professional growth.
Chance to develop expertise in cloud platforms and data engineering tools.
Competitive compensation aligned with your experience and skills.
Upon completion of waiting period consultants are eligible for:
Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.
ManpowerGroupยฎ (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands โ Manpower, Experis, Talent Solutions, and Jefferson Wells โ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.
Our client, a leading organization in the technology and data industry, is seeking a Data Engineer to join their team. As a Data Engineer, you will be part of the Data Engineering Department supporting the Data Team. The ideal candidate will have strong problem-solving skills, excellent communication abilities, and a proactive mindset, which will align successfully in the organization.
Job Title: Data Engineer
Location: Denver, Colorado
Pay Range: $70-90/hour based on experience
โข
โข
โข No 3rd Parties/Corp-to-Corp Allowed
โข
โข What's the Job?
Independently design, build, and launch new data extraction, transformation, and loading processes in production.
Identify the data needed for business problems and implement logging to ensure data availability, working with data infrastructure to troubleshoot issues and resolve them.
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operational efficiency.
Design, build, and launch new data models to support evolving business needs.
Support existing processes running in production and implement optimized solutions with limited guidance, working with large-scale data environments.
What's Needed?
Minimum of 5 years of relevant experience in data engineering or similar roles.
Technical expertise with data models, data mining, and segmentation techniques.
Proficiency in Python, Scala, SQL, and scripting languages.
Experience with Big Data platforms such as Databricks, EMR, Hadoop.
Hands-on experience with SQL database design, ETL tools, and cloud environments like AWS, GCP, or Azure.
What's in it for me?
Opportunity to work with cutting-edge big data technologies and large-scale data environments.
Engagement in meaningful projects that impact business operations and decision-making.
Collaborative and innovative work environment supporting professional growth.
Chance to develop expertise in cloud platforms and data engineering tools.
Competitive compensation aligned with your experience and skills.
Upon completion of waiting period consultants are eligible for:
Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay
If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.
ManpowerGroupยฎ (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands โ Manpower, Experis, Talent Solutions, and Jefferson Wells โ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.






