HTD Talent

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 6-month contract requiring U.S. citizenship or Permanent Residency. Key skills include AWS Lambda, ETL/ELT solutions, strong SQL, and data pipeline experience with Snowflake or Databricks. A Bachelor's degree and 5 years of experience are mandatory.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
August 7, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Unknown
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Data Governance #Snowflake #Data Pipeline #Scala #AWS Glue #Databricks #Lambda (AWS Lambda) #Data Engineering #Computer Science #"ETL (Extract #Transform #Load)" #Database Design #Monitoring #SQL (Structured Query Language) #AWS Lambda #Cloud #Data Quality #Data Integration #AI (Artificial Intelligence) #Automated Testing #AWS (Amazon Web Services)
Role description
Data Engineer Contract Length: 6-month contract with expected extension Travel: Monthly travel to one of the following locations: Dallas, TX; Alpharetta, GA; San Antonio, TX; or Charlotte, NC Note: This project requires contractors to be U.S. citizens or Permanent Residents. Must-Have Skills β€’ Hands-on experience building and maintaining data integration and ETL/ELT solutions using AWS Lambda and AWS Glue β€’ Experience developing and supporting orchestration pipelines and automated data workflows β€’ Strong SQL skills and experience implementing data models and database designs β€’ Experience building data pipelines for Snowflake and/or Databricks β€’ Knowledge of data governance, data quality, lineage, and validation practices β€’ Experience troubleshooting pipelines, optimizing performance, and monitoring production data workloads Qualifications β€’ Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field β€’ Minimum of 5 years of hands-on data engineering experience β€’ Proven experience designing, developing, testing, and deploying scalable data integration solutions β€’ Experience working with structured and unstructured data across cloud-based platforms β€’ Experience supporting data pipelines and infrastructure for AI and machine-learning workloads β€’ Familiarity with CI/CD, source control, automated testing, and production support for data solutions β€’ Relevant certifications, such as AWS Certified Data Engineer, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer, are preferred