

Data Engineer 5
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer 5, offering a 6-month remote contract at $65 to $70/hour. Requires a Bachelor’s degree with 10+ years of experience, expertise in Databricks, AWS, Apache Spark, Python, and PySpark.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
June 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Salem, OR
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🧠 - Skills detailed
#Databases #Security #AWS (Amazon Web Services) #Data Storage #Spark (Apache Spark) #Data Engineering #Quality Assurance #"ETL (Extract #Transform #Load)" #Storage #Data Processing #Datasets #Databricks #Python #PySpark #Database Management #Apache Spark #Big Data #Data Governance #Data Access #Data Integration #Data Pipeline
Role description
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What are we looking for in our Data Engineer 5?
Job Title: Data Engineer – Manager
Location: Remote
Duration: 6 months
Compensation: $65 to $70/Hourly
Job Summary:
We are seeking an experienced Data Engineer – Manager to design, build, and optimize database management systems while ensuring data accessibility, security, and quality. This role involves developing database standards, evaluating system performance, and working with large-scale data pipelines.
As a key team member, you will collaborate with cross-functional teams to establish data integration strategies, database specifications, and security policies. If you have a passion for managing complex data systems and working with cutting-edge technologies, we want to hear from you!
Key Responsibilities:
• Establish and maintain database management systems, standards, and guidelines.
• Design and implement data models, logical databases, and capacity planning.
• Develop and optimize data pipelines to ensure efficient data flow and storage.
• Evaluate and install database management systems for performance and security.
• Write complex programs and build windows, screens, and reports.
• Assist in designing user interfaces and business application prototypes.
• Participate in quality assurance processes and test application code.
• Work with large-scale datasets to extract meaningful insights and optimize performance.
• Ensure proper data governance, security policies, and data maintenance plans.
Required Qualifications:
• Bachelor’s degree in a relevant field with 10+ years of experience (or equivalent: PhD + 8 years, Master’s + 9 years, Associate’s + 11 years, High School + 12 years).
• Extensive experience in data engineering, database management, and system architecture.
• Strong understanding of relational databases, data storage, and optimization.
Must-Have Skills:
Databricks
AWS
Apache Spark
Python
PySpark
Preferred Skills:
• Experience with big data processing frameworks.
• Strong problem-solving skills and the ability to troubleshoot data issues.
• Excellent communication and collaboration skills with cross-functional teams.
Benefits Info:
Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
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