Data Engineer 5

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer 5, remote, with a 6-month contract at $65 to $70/hour. Requires a Bachelor’s degree and 10+ years of experience in data engineering, expertise in Databricks, AWS, Apache Spark, Python, and PySpark.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
560
🗓️ - Date discovered
April 11, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
1099 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Salem, OR
🧠 - Skills detailed
#Quality Assurance #Spark (Apache Spark) #Data Integration #Data Engineering #AWS (Amazon Web Services) #Python #Big Data #Apache Spark #Datasets #Data Pipeline #Security #Storage #Data Storage #"ETL (Extract #Transform #Load)" #Data Governance #PySpark #Database Management #Data Processing #Databases #Databricks #Data Access
Role description

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.

#CB