Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 4-6 years of experience in Databricks, AWS, Apache Spark, Python, and PySpark. Contract length is until May 28, 2026, with a pay rate of up to $75.86 per hour, onsite in Beaverton.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date discovered
September 18, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Beaverton, OR 97075
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🧠 - Skills detailed
#Apache Spark #PySpark #Databricks #Data Management #Python #Data Engineering #Database Management #Datasets #AWS (Amazon Web Services) #Quality Assurance #Database Design #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Storage
Role description
Expected End Date: May 28, 2026 Are you a skilled Data Engineer looking to make a significant impact in the world of data management? At Jobs Xchange, you'll have the opportunity to work with cutting-edge technologies and large datasets, transforming raw data into valuable insights. This role offers a chance to grow within a supportive and innovative environment, contributing to the success of our clients and the broader community. Establish database management systems, standards, guidelines, and quality assurance for database deliverables. Document and communicate database design. Evaluate and install database management systems. Code complex programs and derive logical processes on technical platforms. Build windows, screens, and reports. Assist in the design of user interface and business application prototypes. Participate in quality assurance and develop test application code in client-server environment. Provide expertise in devising, negotiating, and defending the tables and fields provided in the database. Adapt business requirements and develop the data, database specifications, and table and element attributes for an application. Determine appropriateness of data for storage and optimum storage organization. Determine how tables relate to each other and how fields interact within the tables for a relational model. What We Are Looking For In A Candidate 4-6 years of experience with Databricks, AWS, Apache Spark, Python, and PySpark. Typically requires a Bachelor's Degree and a minimum of 10 years directly relevant experience; alternative qualifications may be considered. Previous Nike experience is a plus. Must be onsite at Nike WHQ in Beaverton for a Hybrid schedule, 4:1. Job Type: Contract Pay: Up to $75.86 per hour Expected hours: 40 per week Application Question(s): This role will move quickly, if you are not responsive we will pass. Please confirm. What City,State are you located in? Education: Bachelor's (Preferred) Experience: Databricks: 4 years (Required) AWS: 4 years (Required) Apache: 4 years (Required) Spark: 4 years (Required) Python: 4 years (Required) PySpark: 4 years (Required) Data engineering: 10 years (Required) Nike: 1 year (Preferred) Work Location: In person