Data Engineer

Overview

On Site
USD 50.00 - 65.00 per hour
Full Time

Skills

Brand
Data Flow
Data Collection
Streaming
Data Storage
Storage
Data Warehouse
SFTP
Data Architecture
Data Quality
Testing
Analytics
Dashboard
Python
SQL
JSON
Data Visualization
Extract
Transform
Load
Snow Flake Schema
Amazon Web Services
Analytical Skill
Mathematics
Training
Documentation
Communication
Research
Management
Managed Services
Collaboration
Partnership
Value Engineering
Effective Communication
Law

Job Details

Data Engineer (onsite)
Utah County (onsite)
6 month C2H or Direct Hire
Pay: $50.00-$65.00/hr

Job Description:

Our client is looking for a Data Engineer who will play a key role in developing and optimizing the data infrastructure supporting the company brand. This position ensures the reliability of data pipelines, enabling seamless data flow and delivering actionable insights that drive strategic decisions and empower analytics teams.
You'll collaborate with analysts, business leaders, and cross-functional teams to build robust, scalable, and secure data systems-shaping and executing the data strategy across both brands.

Responsibilities:
  • Data Collection: Gather data from a variety of sources, including internal systems, APIs, and streaming platforms.
  • Data Transformation: Clean, structure, and prepare raw data for analysis.
  • Data Storage: Design and manage scalable storage solutions, such as data warehouses.
  • Data Quality: Ensure data accuracy and integrity through monitoring and validation processes.
  • Data Pipelines: Develop and maintain secure, efficient pipelines using APIs, SFTP, and other integration methods.
  • Data Architecture: Build and refine data infrastructure to meet evolving business requirements.
  • Data Testing: Conduct rigorous testing to identify and resolve data issues and system errors.
  • Data Visualization: Collaborate with the analytics team to develop dashboards, reports, and visualizations that drive data-driven insights.

Required Skills:
  • 5+ years working with Python, SQL, JSON, and data visualization/exploration tools.
  • Proven expertise in building and maintaining robust ETL pipelines.
  • Strong hands-on experience with Snowflake and AWS services.

Technical & Analytical Skills:
  • Skilled in interpreting and solving complex problems with minimal standardization.
  • Proficient in basic mathematics, including percentages, ratios, and graph interpretation.
  • Able to follow and adapt to various instruction formats.

Communication:
  • Capable of explaining complex technical concepts to non-technical audiences.
  • Excellent written communication skills; able to craft clear reports, memos, and documentation using correct grammar and structure.
  • Strong verbal communication with clear articulation, correct pronunciation, and proper use of tense and emphasis.

Collaboration:
  • Effective in fast-paced, research-driven environments managing multiple concurrent projects.
  • Works well within cross-functional teams and adapts quickly to changing priorities.


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