Data Engineer

Agility Partners

United States

On-site

USD 75,768 - 89,544

Part time

14 days+

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Benefits offered by this job

Work with cutting-edge data technologies

Opportunity to drive innovation

Support data literacy and training programs

Job summary

A dynamic recruitment firm is seeking a skilled Data Engineer to join their client in the retail industry. In this mid-senior level position, you will create and automate data pipelines, build data infrastructure, and support data-driven initiatives. Ideal candidates have a degree in a relevant field, 3–5 years experience, and familiarity with big data frameworks and cloud platforms. Enjoy a collaborative environment focused on innovation and professional growth.

Qualifications

3–5 years of experience in data engineering or related disciplines.
Familiarity with DevOps, CI/CD, and Agile/Scrum environments.
Relevant certifications (AWS Big Data, Google Data Engineer, Azure Data Engineer) are a plus.

Responsibilities

Team up with engineering and enterprise architecture to define standards.
Build and automate data pipelines.
Conduct complex data analysis and respond to business and technology queries.

Skills

Experience with big data frameworks (Spark, Hive)

Data modeling

Pipeline automation

Proficiency in cloud platforms (Azure, AWS, GCP)

Strong communication and collaboration skills

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Azure Data Factory

Databricks/Spark

Snowflake

Kafka

Job description

This range is provided by Agility Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$55.00/hr - $65.00/hr

Direct message the job poster from Agility Partners

Lead Talent Executive @ Agility Partners | Data Engineer

Agility Partners is seeking a qualified Data Engineer to fill an open position with one of our clients. This is an exciting opportunity in the retail industry, where you’ll help build and optimize data infrastructure for impactful business insights. You’ll work with modern big data tools, cloud platforms, and automation frameworks in a collaborative, fast-paced environment. The Data Engineer will design, build, and maintain data pipelines and infrastructure, ensuring high-quality data is available for analytics and reporting. You’ll collaborate with engineering and architecture teams, automate processes, and support data-driven decision-making across the organization.

Responsibilities

Team up with engineering and enterprise architecture to define standards, design patterns, and DevOps automation
Create and maintain data ingestion, quality testing, and audit frameworks
Build and automate data pipelines using Azure Data Factory, Databricks/Spark, Snowflake, Kafka, and scheduler tools
Conduct complex data analysis and respond to business and technology queries

Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field
3–5 years of experience in data engineering or related disciplines
Experience with big data frameworks (Spark, Hive), ETL processes, and cloud platforms (Azure, AWS, GCP)
Proficiency in data modeling, pipeline automation, and metadata management
Familiarity with DevOps, CI/CD, and Agile/Scrum environments
Relevant certifications (AWS Big Data, Google Data Engineer, Azure Data Engineer) are a plus
Strong communication and collaboration skills

Reasons to Love This Opportunity

Work with cutting-edge data technologies and cloud solutions
Opportunity to drive innovation and process automation in a dynamic team
Support data literacy and training programs for business and technology users
Be part of a collaborative environment focused on professional growth and impact

Seniority level