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.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
Unknown
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๐Ÿ—“๏ธ - Date
June 4, 2026
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
On-site
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๐Ÿ“„ - Contract
W2 Contractor
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
St Louis, MO
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๐Ÿง  - 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 โ€ข Design, develop, and maintain scalable and robust data pipelines and ETL/ELT workflows โ€ข Build and optimize data architectures using Databricks and Spark โ€ข Develop and maintain data models to support analytical and reporting needs โ€ข Ensure data quality, integrity, and performance across systems โ€ข Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions โ€ข Implement and enforce best practices for data engineering, including testing, monitoring, and documentation โ€ข Optimize large-scale data processing using distributed computing frameworks โ€ข Support cloud-based data platforms and contribute to platform modernization initiatives โ€ข Troubleshoot and resolve complex data issues in production environments Required Qualifications โ€ข 7+ years of experience in Data Engineering or a related field โ€ข Strong expertise in: โ€ข SQL โ€ข Python โ€ข Apache Spark โ€ข Databricks โ€ข Experience building and optimizing large-scale data processing systems โ€ข Strong understanding of data warehousing concepts and data modeling โ€ข Experience working with structured and unstructured data โ€ข Excellent problem-solving and communication skills Preferred / Nice-to-Have Skills โ€ข Version control and CI/CD tools: โ€ข Git โ€ข Jenkins โ€ข Infrastructure as Code: โ€ข Terraform โ€ข Data integration tools: โ€ข Informatica Intelligent Data Management Cloud (IDMC) โ€ข Experience with enterprise data platforms such as: โ€ข Teradata โ€ข Familiarity with cloud environments (Azure, AWS, or GCP) โ€œBeware of scams. S3 never asks for money during its onboarding process.โ€