Data Engineer 3

Scottsdale, AZ, US • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
On-site
USD $65.00 - 75.00 per hour
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Job Details

Skills

  • Advanced Analytics
  • Data Flow
  • Software Design
  • Performance Tuning
  • Optimization
  • Process Improvement
  • Scalability
  • Extraction
  • Customer Acquisition
  • Performance Metrics
  • Collaboration
  • Analytics
  • Reporting
  • ROOT
  • Data Integrity
  • Computer Science
  • Amazon Web Services
  • Snow Flake Schema
  • SQL
  • Database
  • Extract
  • Transform
  • Load
  • ELT
  • Data Modeling
  • Version Control
  • Continuous Integration
  • Continuous Delivery
  • Root Cause Analysis
  • Leadership
  • Mentorship
  • Analytical Skill
  • Unstructured Data
  • Meta-data Management
  • Management
  • Big Data
  • Project Management
  • Organizational Skills
  • Microsoft SQL Server
  • NoSQL
  • MongoDB
  • Privacy
  • Marketing

Summary

Location: Scottsdale, AZ
Salary: $65.00 USD Hourly - $75.00 USD Hourly
Description: Our client is currently seeking a Data Engineer 3

Job Summary:
The Data Engineer III leads the design, development, and optimization of the data infrastructure. This role drives the evolution of data pipeline architecture to support advanced analytics and business insights. The position is responsible for expanding and improving data pipelines, ensuring efficient data flow, and supporting the data needs of multiple teams, systems, and products. This is a self-directed role that also provides mentorship on best practices and software design principles.

Essential Duties:
  • Lead the creation and maintenance of scalable, efficient, and secure data pipeline architecture.
  • Build large and complex data sets that meet business and technical requirements.
  • Mentor and guide Data Engineer team members on best practices and design principles.
  • Perform advanced data modeling and architecture work.
  • Drive performance tuning, troubleshooting, and dataset optimization to improve data delivery.
  • Identify, design, and implement process improvements, including automation, optimized data delivery, and infrastructure redesign for scalability.
  • Design and build infrastructure for extraction, transformation, and loading of data using SQL and big data technologies.
  • Develop analytics tools that use data pipelines to provide insights into customer acquisition, operations, and business performance metrics.
  • Collaborate with executive, product, data, and design teams on technical data issues and infrastructure needs.
  • Partner with data and analytics experts to improve functionality within data systems.
  • Manage complex reporting queries and support data consumption for applications.
  • Troubleshoot database software issues and analyze root causes related to data integrity.
  • Work off-hours when needed, including occasional evenings, weekends, or holidays.

Minimum Qualifications:
  • Bachelor's degree in computer science or equivalent experience.
  • Minimum of 7 years of experience as a Data Engineer.

Preferred Qualifications:
  • Master's degree in computer science or related field.
  • 8 years of experience as a Data Engineer.
  • Preferred certifications include AWS Data Engineer or AWS Solutions Architect, and Snowflake certifications.

Required Skills and Experience:
  • Strong SQL expertise and experience with relational and NoSQL databases.
  • Proficiency in optimizing ETL and ELT pipelines and data modeling.
  • Experience with version control systems and CI/CD development.
  • Ability to perform root cause analysis on data and processes to identify improvements.
  • Experience supporting cross-functional teams in dynamic environments.
  • Demonstrated leadership and ability to mentor junior engineers.
  • Strong analytical skills, including working with unstructured data.
  • Ability to develop processes supporting data transformation, structures, metadata, dependency identification, and workload management.
  • Working knowledge of message queuing, stream processing, and highly scalable big data systems.
  • Strong project management and organizational skills.
  • Graduate-level education in a technical or quantitative field is preferred.
  • Experience with SQL Server and NoSQL technologies such as MongoDB.


By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1123427
  • Posted 4 hours ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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