Dataspace
227: Data Engineer - Detroit
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position in Detroit, MI, for a contract-to-hire duration, offering $60-70/hour. Requires 4+ years of experience in Advanced SQL, Python, and Spark, with preferred experience in healthcare data and Linux environments. Hybrid work setup.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
-
🗓️ - Date
March 6, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Detroit, MI
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Datasets #Data Pipeline #Data Science #Data Storage #SQL (Structured Query Language) #Compliance #Security #Data Warehouse #Data Governance #Scala #Data Engineering #Data Lake #Data Integrity #Spark (Apache Spark) #Data Quality #Linux #Storage #Python
Role description
Job Title: Data Engineer - Health Insurance
Location:Detroit, United States Experience:Mid-level Remote Working:Hybrid
Job Description:
Dataspace is seeking a talented and motivated Data Engineer to join our team in Detroit. As a Data Engineer, you will play a crucial role in designing, building, and maintaining the infrastructure and tools required to process and analyze large datasets. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability and quality, enabling the organization to make data-driven decisions.
Location: Detroit, MI (2+ days/week onsite required)
Mode: Contract to Hire
Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from various sources.
Collaborate with data scientists and analysts to understand data requirements and ensure data is accessible and reliable for analysis.
Implement and optimize data storage solutions, such as data warehouses and data lakes, to support analytical and reporting needs.
Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.
Develop and enforce data governance and security standards to ensure data integrity and compliance with relevant regulations.
Perform data quality checks and validation to ensure accuracy and consistency of data.
Mandatory Skills/Experience:
4 or more years’ experience in:
Advanced SQL
Python and Spark
Preferred Skills/Experience:
Experience with healthcare data
Experience in a Linux environment
Compensation: $60-70 per hour on 1099 or C2C
Other Notes:
Our client requires that we work ONLY with direct, W2 employees of our contracting partners. Contracting firms, do not submit resumes for candidates who are not your own, direct employees.
We rely heavily on assertions in resumes and report suspected cases of resume fraud to the USCIS and other authorities. Submit only resumes that can be independently verified.
We expect submissions to demonstrate effective written communication skills, including having no more than six concise bullet points on any particular assignment. We reserve the right to immediately reject any submission that does not comply with this rule.
Job Title: Data Engineer - Health Insurance
Location:Detroit, United States Experience:Mid-level Remote Working:Hybrid
Job Description:
Dataspace is seeking a talented and motivated Data Engineer to join our team in Detroit. As a Data Engineer, you will play a crucial role in designing, building, and maintaining the infrastructure and tools required to process and analyze large datasets. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability and quality, enabling the organization to make data-driven decisions.
Location: Detroit, MI (2+ days/week onsite required)
Mode: Contract to Hire
Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from various sources.
Collaborate with data scientists and analysts to understand data requirements and ensure data is accessible and reliable for analysis.
Implement and optimize data storage solutions, such as data warehouses and data lakes, to support analytical and reporting needs.
Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.
Develop and enforce data governance and security standards to ensure data integrity and compliance with relevant regulations.
Perform data quality checks and validation to ensure accuracy and consistency of data.
Mandatory Skills/Experience:
4 or more years’ experience in:
Advanced SQL
Python and Spark
Preferred Skills/Experience:
Experience with healthcare data
Experience in a Linux environment
Compensation: $60-70 per hour on 1099 or C2C
Other Notes:
Our client requires that we work ONLY with direct, W2 employees of our contracting partners. Contracting firms, do not submit resumes for candidates who are not your own, direct employees.
We rely heavily on assertions in resumes and report suspected cases of resume fraud to the USCIS and other authorities. Submit only resumes that can be independently verified.
We expect submissions to demonstrate effective written communication skills, including having no more than six concise bullet points on any particular assignment. We reserve the right to immediately reject any submission that does not comply with this rule.
