Ztek Consulting
W2 Contract - Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a W2 Contract - Data Engineer in Denver, CO, for 6 months at a competitive pay rate. Key skills include strong SQL, Apache Spark, and AWS experience. Candidates must have a solid understanding of data engineering concepts and pipeline maintenance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
-
🗓️ - Date
August 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Denver, CO
-
🧠 - Skills detailed
#Data Quality #Data Extraction #Data Pipeline #Spark (Apache Spark) #Data Engineering #Data Processing #"ETL (Extract #Transform #Load)" #Security #Scala #Data Analysis #SQL (Structured Query Language) #Apache Spark #Datasets #AWS (Amazon Web Services) #SQL Queries
Role description
Work Authorization: GC / USC
Location: Denver, CO
Job Description:
We are looking for experienced Data Engineers to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate will have strong experience with SQL, Apache Spark, and AWS data services.
Key Responsibilities:
• Design and develop scalable data pipelines using Spark and AWS.
• Develop complex SQL queries for data extraction, transformation, and analysis.
• Build and optimize data processing workflows.
• Work with large datasets and distributed data processing environments.
• Collaborate with data analysts, engineers, and business stakeholders.
• Troubleshoot performance, data quality, and pipeline issues.
• Follow data engineering best practices around scalability, reliability, and security.
Required Skills:
• Strong SQL experience.
• Hands-on experience with Apache Spark.
• Strong experience with AWS.
• Experience building and maintaining data pipelines.
• Strong understanding of data engineering concepts and distributed data processing.
Work Authorization: GC / USC
Location: Denver, CO
Job Description:
We are looking for experienced Data Engineers to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate will have strong experience with SQL, Apache Spark, and AWS data services.
Key Responsibilities:
• Design and develop scalable data pipelines using Spark and AWS.
• Develop complex SQL queries for data extraction, transformation, and analysis.
• Build and optimize data processing workflows.
• Work with large datasets and distributed data processing environments.
• Collaborate with data analysts, engineers, and business stakeholders.
• Troubleshoot performance, data quality, and pipeline issues.
• Follow data engineering best practices around scalability, reliability, and security.
Required Skills:
• Strong SQL experience.
• Hands-on experience with Apache Spark.
• Strong experience with AWS.
• Experience building and maintaining data pipelines.
• Strong understanding of data engineering concepts and distributed data processing.
