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Remote Co Op Data Engineer Jobs (NOW HIRING)

GCP Data Engineer

$117K - $140K/yr

Denver, CO (Remote) Only W2 Candidates Job Summary We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate ...

The Athlete Partnerships Co-op is an opportunity to gain valuable experience in the sports industry ... engineering team. Responsibilities * Set up athlete websites and eCommerce stores using Athlete ...

Data Engineer

Roanoke, TX · Remote

$65/hr

Westlake, TX (Hybrid - 2 weeks onsite per month/ alternate weeks, rest remote) Salary: Up to $130,000/Annually or $65.00/Hourly Role: Data Engineer Primary Skills: Data Engineering and API ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Position Summary The Data Engineer sits within the Data & Analytics organization and supports the ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise: * Experienced in building and ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Role: Data Engineer Location: Dallas, TX Duration: 12+ Months Contract * Bachelor's degree in Computer Science, Data Engineering, or a related field * 3+ years of experience in data engineering ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory. • Build and maintain a ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0239070 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0244707 Location: Chantilly,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that there is more ...

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Remote Co Op Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote co op data engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote co op data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

How does a Remote Co-Op Data Engineer typically collaborate with team members across different locations?

As a Remote Co-Op Data Engineer, you'll frequently collaborate with teammates through virtual tools like video conferencing, instant messaging, and project management platforms. Regular check-ins and agile stand-ups help keep everyone aligned, while code reviews and shared documentation ensure consistent quality and understanding. You may also participate in pair programming sessions and cross-functional meetings to discuss data solutions, so strong communication and time management skills are key to thriving in this distributed environment.

What is the difference between Remote Co Op Data Engineer vs Remote Data Analyst?

AspectRemote Co Op Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; some internshipsBachelor's in Statistics, Math, or related; some internships
Work EnvironmentPart-time or internship, collaborative teams, technical tasksPart-time or internship, reporting and visualization tasks
Employer & Industry UsageTech, finance, healthcare companies during internships or co-op programsVarious industries for data reporting and insights during internships

The Remote Co Op Data Engineer role focuses on building data pipelines, databases, and infrastructure, often as part of an internship or cooperative program. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations. Both roles are common in tech-driven industries and often require similar educational backgrounds, but they differ in technical depth and focus areas.

What are the key skills and qualifications needed to thrive as a Remote Co Op Data Engineer, and why are they important?

To thrive as a Remote Co Op Data Engineer, you typically need a solid understanding of programming languages like Python or SQL, data structures, and a background in computer science or a related field. Familiarity with data processing tools (such as Hadoop or Spark), version control systems like Git, and cloud platforms (AWS, Azure, or GCP) is highly valued. Strong problem-solving, communication, and time management skills help you excel in remote teamwork and adapt to evolving project requirements. These skills ensure that you can efficiently manage, process, and analyze large datasets while collaborating effectively in a distributed work environment.

What is a Remote Co-Op Data Engineer?

A Remote Co-Op Data Engineer is an intern or student employee who works with data engineering teams while working remotely, often as part of a cooperative education program. Their main responsibilities include assisting in building and maintaining data pipelines, cleaning and transforming data, and supporting data infrastructure projects from a remote location. This position provides hands-on experience with tools and technologies like SQL, Python, and cloud platforms, while allowing the flexibility of working from anywhere. It is ideal for students or early-career professionals seeking to apply classroom knowledge in real-world data engineering environments.
More about Remote Co Op Data Engineer jobs
What cities are hiring for Remote Co Op Data Engineer jobs? Cities with the most Remote Co Op Data Engineer job openings:
What states have the most Remote Co Op Data Engineer jobs? States with the most job openings for Remote Co Op Data Engineer jobs include:
What job categories do people searching Remote Co Op Data Engineer jobs look for? The top searched job categories for Remote Co Op Data Engineer jobs are:
Infographic showing various Remote Co Op Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Greetings from Smart Work IT Services,
Role: Data Engineer - GCP
Location: Denver, CO (Remote)
Only W2 Candidates
Job Summary
We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.
This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.
Key Responsibilities
  • Design, develop, and maintain scalable batch and real-time data pipelines on GCP
  • Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing
  • Build high-performance data transformations using Python and PySpark
  • Develop and optimize complex SQL queries for analytical workloads
  • Work extensively with BigQuery for large-scale data processing and performance tuning
  • Develop and deploy pipelines using Cloud Dataflow
  • Orchestrate workflows using Cloud Composer (Apache Airflow)
  • Manage data storage and lifecycle using Google Cloud Storage (GCS)
  • Implement version control and CI/CD pipelines using Git-based tools
  • Ensure data security, governance, and access control using GCP IAM
  • Optimize data solutions for performance, scalability, reliability, and cost-efficiency

Required Skills & Experience
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Expertise in BigQuery (partitioning, clustering, query optimization)
  • Proven experience implementing Medallion Data Architecture
  • Strong programming skills in Python and PySpark
  • Advanced proficiency in SQL (complex joins, window functions, performance tuning)
  • Hands-on experience with Cloud Dataflow
  • Experience with Cloud Composer (Airflow) for orchestration
  • Experience working with Google Cloud Storage (GCS)
  • Knowledge of version control systems (Git) and CI/CD practices
  • Strong understanding of GCP IAM and cloud security best practices

Preferred Qualifications
  • Experience working with large-scale enterprise data platforms
  • Knowledge of data warehousing and data lake concepts
  • Familiarity with real-time streaming frameworks
  • Experience in data governance and data quality frameworks
Exposure to Agile/Scrum methodologies