

Strategic Staffing Solutions
Data Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 12-month W2 contract in St. Louis, Missouri, requiring 7+ years of experience, expertise in SQL, Python, Spark, and Databricks, and strong data warehousing knowledge. On-site work is required three days a week.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
Unknown
-
๐๏ธ - Date
June 4, 2026
๐ - Duration
More than 6 months
-
๐๏ธ - Location
On-site
-
๐ - Contract
W2 Contractor
-
๐ - Security
Unknown
-
๐ - Location detailed
St Louis, MO
-
๐ง - Skills detailed
#Documentation #Distributed Computing #Data Science #GCP (Google Cloud Platform) #Infrastructure as Code (IaC) #Version Control #Python #Data Quality #Data Management #AWS (Amazon Web Services) #Spark (Apache Spark) #Monitoring #Apache Spark #Data Processing #Data Architecture #Azure #Data Modeling #S3 (Amazon Simple Storage Service) #Teradata #Cloud #SQL (Structured Query Language) #Data Pipeline #Databricks #Data Engineering #Terraform #Jenkins #GIT #Scala #"ETL (Extract #Transform #Load)" #Informatica #Data Integration
Role description
Strategic Staffing Solutions is currently looking for a Data Engineer, a W2 contract opportunity.
This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.
Employment Type: W2 Only (No C2C or 1099)
Duration: 12Month Contract
Location: St. Louis, Missouri
Schedule: On-site-3 days
Top Skills: SQL, Python, Spark, and Databricks
Key Responsibilities
โข Design, develop, and maintain scalable and robust data pipelines and ETL/ELT workflows
โข Build and optimize data architectures using Databricks and Spark
โข Develop and maintain data models to support analytical and reporting needs
โข Ensure data quality, integrity, and performance across systems
โข Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
โข Implement and enforce best practices for data engineering, including testing, monitoring, and documentation
โข Optimize large-scale data processing using distributed computing frameworks
โข Support cloud-based data platforms and contribute to platform modernization initiatives
โข Troubleshoot and resolve complex data issues in production environments
Required Qualifications
โข 7+ years of experience in Data Engineering or a related field
โข Strong expertise in:
โข SQL
โข Python
โข Apache Spark
โข Databricks
โข Experience building and optimizing large-scale data processing systems
โข Strong understanding of data warehousing concepts and data modeling
โข Experience working with structured and unstructured data
โข Excellent problem-solving and communication skills
Preferred / Nice-to-Have Skills
โข Version control and CI/CD tools:
โข Git
โข Jenkins
โข Infrastructure as Code:
โข Terraform
โข Data integration tools:
โข Informatica Intelligent Data Management Cloud (IDMC)
โข Experience with enterprise data platforms such as:
โข Teradata
โข Familiarity with cloud environments (Azure, AWS, or GCP)
โBeware of scams. S3 never asks for money during its onboarding process.โ
Strategic Staffing Solutions is currently looking for a Data Engineer, a W2 contract opportunity.
This is a W-2 contract opportunity, and candidates must be able to work on our W-2 only. NO C2C or 1099.
Employment Type: W2 Only (No C2C or 1099)
Duration: 12Month Contract
Location: St. Louis, Missouri
Schedule: On-site-3 days
Top Skills: SQL, Python, Spark, and Databricks
Key Responsibilities
โข Design, develop, and maintain scalable and robust data pipelines and ETL/ELT workflows
โข Build and optimize data architectures using Databricks and Spark
โข Develop and maintain data models to support analytical and reporting needs
โข Ensure data quality, integrity, and performance across systems
โข Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
โข Implement and enforce best practices for data engineering, including testing, monitoring, and documentation
โข Optimize large-scale data processing using distributed computing frameworks
โข Support cloud-based data platforms and contribute to platform modernization initiatives
โข Troubleshoot and resolve complex data issues in production environments
Required Qualifications
โข 7+ years of experience in Data Engineering or a related field
โข Strong expertise in:
โข SQL
โข Python
โข Apache Spark
โข Databricks
โข Experience building and optimizing large-scale data processing systems
โข Strong understanding of data warehousing concepts and data modeling
โข Experience working with structured and unstructured data
โข Excellent problem-solving and communication skills
Preferred / Nice-to-Have Skills
โข Version control and CI/CD tools:
โข Git
โข Jenkins
โข Infrastructure as Code:
โข Terraform
โข Data integration tools:
โข Informatica Intelligent Data Management Cloud (IDMC)
โข Experience with enterprise data platforms such as:
โข Teradata
โข Familiarity with cloud environments (Azure, AWS, or GCP)
โBeware of scams. S3 never asks for money during its onboarding process.โ






