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Remote Load Builder Jobs (NOW HIRING)

Data Engineer/ETL Developer

Dorchester, MA · On-site +1

$120K - $144K/yr

Remote but interviews or laptop pickup must occur at one of the following locations: San Francisco ... Data Engineer - ETL We are seeking a Data Engineer to design, build, and scale high quality data ...

New

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join ... in ETL processes. Collaborate with data scientists and engineers to build scalable solutions.

Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be ... Build scalable ETL/ELT solutions supporting enterprise data migration and modernization.

Be Seen First

Search auto-transport load boards * Build and coordinate efficient trips based on vehicle capacity ... Reliable, self-motivated, and professional Work Requirements * Full-time, remote position

Be Seen First

Search auto-transport load boards * Build and coordinate efficient trips based on vehicle capacity ... Reliable, self-motivated, and professional Work Requirements * Full-time, remote position

... and to build workflows that punch well above their weight. This is a remote position open to ... The first two quarters will be front-loaded with a design phase that will include cleanup ...

... build, and maintain interactive dashboards and reports that drive business insights and strategic ... Connect to Snowflake and other cloud data sources, leveraging ETL pipeline outputs for optimized ...

Data Architect - Remote

Parsippany, NJ · On-site +1

$64 - $82.50/hr

Data Architect Data Warehouse ODI and OIC Location: 100% Remote Duration: 6-12 months Mandatory ... build ETL workflows. * Create source to target mappings for simple to complex data integration ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Design, develop, and maintain scalable data pipelines and ETL processes. * Build and optimize data ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Design, develop, and maintain scalable data pipelines and ETL processes. * Build and optimize data ...

Showing results 21-40

Remote Load Builder information

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How much do remote load builder jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote load builder in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What cities are hiring for Remote Load Builder jobs?

Cities with the most Remote Load Builder job openings:

What are the most commonly searched types of Load Builder jobs?

The most popular types of Load Builder jobs are:

What states have the most Remote Load Builder jobs?

States with the most job openings for Remote Load Builder jobs include:

Infographic showing various Remote Load Builder job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Data Engineer/ETL Developer

3B Staffing LLC

Dorchester, MA • On-site, Remote

$120K - $144K/yr

Full-time

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


Job description

Data Engineer

Location: Remote but interviews or laptop pickup must occur at one of the following locations: San Francisco, Arlington, VA, Denver, CO, Chicago, Boston, NYC, Houston, Miami, Los Angeles, Seattle, Dallas, Minneapolis, Minn, Birmingham, MI or Irvine, CA

Length: 6-10 months

ADF and Databricks is a must have.

Data Engineer - ETL
We are seeking a Data Engineer to design, build, and scale high quality data solutions that power analytics, reporting, and data driven decision making. In this role, you will work across the full data engineering lifecycle-partnering closely with product, analytics, and engineering teams to deliver reliable, performant, and secure data platforms.
This role requires strong hands on technical expertise, ownership of complex data pipelines, and the ability to influence engineering standards and best practices.

Key Responsibilities

  • Design, develop, and maintain scalable batch and streaming data pipelines.
  • Build and optimize ETL/ELT workflows to ingest and transform data from multiple sources.
  • Develop and maintain data models that support analytics, reporting, and downstream applications.
  • Ensure data quality, reliability, performance, and security across data platforms.
  • Work with cloud based data platforms (Azure, AWS, or GCP) and modern data architectures (data lake, warehouse, lakehouse).
  • Implement best practices for testing, monitoring, logging, CI/CD, and automation in data engineering.
  • Collaborate with analytics, product, and business stakeholders to translate requirements into robust data solutions.
  • Troubleshoot and resolve complex issues in non production and production environments.
  • Mentor junior engineers and contribute to engineering standards, reusable frameworks, and technical documentation.
  • Evaluate new tools and technologies to improve scalability, efficiency, and maintainability of data systems.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • 5+ years of experience in data engineering, backend engineering, or platform engineering roles.
  • Strong proficiency in SQL and experience with data modeling and performance optimization.
  • Hands on experience with Python, Scala, or Java.
  • Experience with distributed data processing frameworks (e.g., Spark or equivalent).
  • Experience building and operating data solutions on cloud platforms (Azure, AWS, or GCP).
  • Solid understanding of data warehousing, data lakes, and analytics ecosystems.
  • Experience with version control, CI/CD pipelines, and DevOps practices.
  • Strong problem solving skills and ability to independently own complex technical deliverables.

Preferred Qualifications

  • Experience with real time or streaming data platforms (e.g., Kafka or equivalent).
  • Familiarity with workflow orchestration tools (e.g., Airflow, ADF, or similar).
  • Exposure to data governance, security, and compliance concepts.
  • Experience supporting analytics, BI, or machine learning use cases.
  • Prior experience mentoring engineers or leading technical initiatives.