Russell Tobin

Data Engineer 5

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer 5, remote for 6 months, with a pay rate of $65 to $70/hour. Requires 10+ years of experience in data engineering, expertise in Databricks, AWS, Apache Spark, Python, and PySpark.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
560
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๐Ÿ—“๏ธ - Date
October 28, 2025
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
Remote
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
Salem, OR
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๐Ÿง  - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Governance #PySpark #Data Integration #Security #Storage #Data Access #Data Processing #Spark (Apache Spark) #Datasets #Data Pipeline #Database Management #Data Storage #Data Engineering #Big Data #Python #Apache Spark #AWS (Amazon Web Services) #Databases #Quality Assurance #Databricks
Role description
What are we looking for in our Data Engineer 5? Job Title: Data Engineer โ€“ Manager Location: Remote Duration: 6 months Compensation: $65 to $70/Hourly Job Summary: We are seeking an experienced Data Engineer โ€“ 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: โ€ข Establish and maintain database management systems, standards, and guidelines. โ€ข Design and implement data models, logical databases, and capacity planning. โ€ข Develop and optimize data pipelines to ensure efficient data flow and storage. โ€ข Evaluate and install database management systems for performance and security. โ€ข Write complex programs and build windows, screens, and reports. โ€ข Assist in designing user interfaces and business application prototypes. โ€ข Participate in quality assurance processes and test application code. โ€ข Work with large-scale datasets to extract meaningful insights and optimize performance. โ€ข Ensure proper data governance, security policies, and data maintenance plans. Required Qualifications: โ€ข Bachelorโ€™s degree in a relevant field with 10+ years of experience (or equivalent: PhD + 8 years, Masterโ€™s + 9 years, Associateโ€™s + 11 years, High School + 12 years). โ€ข Extensive experience in data engineering, database management, and system architecture. โ€ข Strong understanding of relational databases, data storage, and optimization. Must-Have Skills: Databricks AWS Apache Spark Python PySpark Preferred Skills: โ€ข Experience with big data processing frameworks. โ€ข Strong problem-solving skills and the ability to troubleshoot data issues. โ€ข Excellent communication and collaboration skills with cross-functional teams. Benefits Info: Pride Global offers eligible employeeโ€™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. #CB