What is the average salary for a data engineer in the USA?

In the USA, a data engineer typically earns about $110,000 to $160,000 per year, with senior and specialized roles often going higher in major tech markets. Compensation varies by company size, industry, and depth of experience with cloud data platforms, ETL, and distributed systems. Remote roles may also include location-adjusted pay bands, even when the work is fully distributed. For a data engineer, it helps to compare compensation against similar data platform or analytics engineering roles and review current listings to see how total pay is structured.

What skills are required for a data engineer role?

Strong candidates usually combine solid SQL and Python skills with a good understanding of data modeling, ETL design, and cloud-based data architecture. In the USA market, employers also look for experience building reliable pipelines, working with large datasets, and collaborating with analytics or software teams. Communication matters too, since a data engineer often translates business needs into scalable data solutions. If you’re evaluating fit, compare these expectations with related roles such as analytics engineer or backend engineer to see where your strengths align.

What tools and technologies should a data engineer know, such as SQL, Python, Spark, or AWS?

Most employers expect hands-on knowledge of SQL and Python, along with at least one distributed processing framework such as Spark. For cloud environments, AWS is common, but many USA companies also use Azure or Google Cloud. Familiarity with orchestration tools, data warehouses, version control, and workflow automation is increasingly standard for a data engineer. The exact stack depends on the team, so checking current listings can help you identify which tools are most frequently requested in the market and how they connect to the rest of the platform.

What does a data engineer do on a daily basis?

A typical day often includes building and maintaining data pipelines, monitoring job runs, troubleshooting failures, and improving data quality checks. A data engineer may also optimize warehouse performance, support analysts with reliable datasets, and collaborate with product or engineering teams on new data sources. In the USA, the scope can differ by company maturity: startups may expect broader ownership, while larger firms may be more specialized. Reviewing job descriptions side by side can show how daily responsibilities shift from one employer to another.

Is this a fully remote data engineer role, or are occasional office visits required?

This data engineer role is listed as remote, which usually means you can work from home anywhere in the USA unless the employer specifies a location restriction. Some remote jobs still include occasional in-person meetings, team offsites, or onboarding visits, so the exact setup depends on company policy. It’s common for remote-first data teams to operate across time zones and rely on clear documentation and async communication. Before applying, it’s worth checking the listing details to confirm whether any travel or office attendance is expected.

What kind of data pipelines, ETL, and cloud data warehouse experience is expected for this remote role?

Employers typically want practical experience designing production-grade ETL pipelines that move data from source systems into a cloud data warehouse such as Snowflake, BigQuery, or Redshift. For a remote data engineer, that often includes scheduling workflows, handling incremental loads, managing schema changes, and building quality controls to keep reporting trustworthy. In the USA market, teams value engineers who can make pipelines observable, scalable, and maintainable without close day-to-day supervision. Comparing listings will help you gauge whether the role leans more toward analytics ETL or platform engineering.

What are the career growth opportunities for a data engineer?

This path can lead to senior data engineer, staff data engineer, data platform architect, or engineering manager roles, depending on whether you prefer technical depth or team leadership. In the USA, companies increasingly value data engineers who can own architecture, governance, and cloud modernization, which can open doors to higher-impact roles. Many professionals also move into machine learning infrastructure or analytics engineering. If you’re planning long term, it helps to compare job descriptions now so you can target the next level of responsibility and skill growth.

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Remote Data Engineer Jobs in the USA — Build Scalable Data Pipelines

Companies across the USA are actively searching for skilled data engineers to design and maintain the infrastructure powering modern analytics. With 500+ remote openings available, this is an excellent time to explore data engineer jobs in the USA and join teams solving complex data challenges. The demand for professionals who can transform raw data into actionable insight continues to grow across industries.

Strong candidates typically bring expertise in SQL, Python, and cloud platforms such as AWS, Azure, or Google Cloud, along with experience building ETL pipelines and managing large-scale data warehouses. Familiarity with tools like Apache Spark, Airflow, and Kafka is highly valued, as is a solid understanding of data modeling and distributed systems. Employers looking to hire a data engineer often prioritize problem-solving ability and a collaborative mindset alongside technical depth.

Remote work has become a standard arrangement for data engineer positions, allowing professionals across the USA to contribute to distributed teams without relocating. Companies are increasingly flexible about location, focusing instead on measurable impact and technical proficiency. This shift has expanded opportunities nationwide, making data engineer vacancies more accessible than ever for talented individuals seeking flexibility and growth.

If you are ready to advance your career, now is the time to explore new opportunities. Global Work AI connects motivated professionals with companies offering rewarding data engineer roles across the country. Browse current listings on Global Work AI and take the next step toward a fulfilling remote career today.

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Everything you need to know about
finding your next role

What is the average salary for a data engineer in the USA?
In the USA, a data engineer typically earns about $110,000 to $160,000 per year, with senior and specialized roles often going higher in major tech markets. Compensation varies by company size, industry, and depth of experience with cloud data platforms, ETL, and distributed systems. Remote roles may also include location-adjusted pay bands, even when the work is fully distributed. For a data engineer, it helps to compare compensation against similar data platform or analytics engineering roles and review current listings to see how total pay is structured.
What skills are required for a data engineer role?
Strong candidates usually combine solid SQL and Python skills with a good understanding of data modeling, ETL design, and cloud-based data architecture. In the USA market, employers also look for experience building reliable pipelines, working with large datasets, and collaborating with analytics or software teams. Communication matters too, since a data engineer often translates business needs into scalable data solutions. If you’re evaluating fit, compare these expectations with related roles such as analytics engineer or backend engineer to see where your strengths align.
What tools and technologies should a data engineer know, such as SQL, Python, Spark, or AWS?
Most employers expect hands-on knowledge of SQL and Python, along with at least one distributed processing framework such as Spark. For cloud environments, AWS is common, but many USA companies also use Azure or Google Cloud. Familiarity with orchestration tools, data warehouses, version control, and workflow automation is increasingly standard for a data engineer. The exact stack depends on the team, so checking current listings can help you identify which tools are most frequently requested in the market and how they connect to the rest of the platform.
What does a data engineer do on a daily basis?
A typical day often includes building and maintaining data pipelines, monitoring job runs, troubleshooting failures, and improving data quality checks. A data engineer may also optimize warehouse performance, support analysts with reliable datasets, and collaborate with product or engineering teams on new data sources. In the USA, the scope can differ by company maturity: startups may expect broader ownership, while larger firms may be more specialized. Reviewing job descriptions side by side can show how daily responsibilities shift from one employer to another.
Is this a fully remote data engineer role, or are occasional office visits required?
This data engineer role is listed as remote, which usually means you can work from home anywhere in the USA unless the employer specifies a location restriction. Some remote jobs still include occasional in-person meetings, team offsites, or onboarding visits, so the exact setup depends on company policy. It’s common for remote-first data teams to operate across time zones and rely on clear documentation and async communication. Before applying, it’s worth checking the listing details to confirm whether any travel or office attendance is expected.
What kind of data pipelines, ETL, and cloud data warehouse experience is expected for this remote role?
Employers typically want practical experience designing production-grade ETL pipelines that move data from source systems into a cloud data warehouse such as Snowflake, BigQuery, or Redshift. For a remote data engineer, that often includes scheduling workflows, handling incremental loads, managing schema changes, and building quality controls to keep reporting trustworthy. In the USA market, teams value engineers who can make pipelines observable, scalable, and maintainable without close day-to-day supervision. Comparing listings will help you gauge whether the role leans more toward analytics ETL or platform engineering.
What are the career growth opportunities for a data engineer?
This path can lead to senior data engineer, staff data engineer, data platform architect, or engineering manager roles, depending on whether you prefer technical depth or team leadership. In the USA, companies increasingly value data engineers who can own architecture, governance, and cloud modernization, which can open doors to higher-impact roles. Many professionals also move into machine learning infrastructure or analytics engineering. If you’re planning long term, it helps to compare job descriptions now so you can target the next level of responsibility and skill growth.

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The AI tools here are outstanding. I found a job within a week of signing up, and the personalized job suggestions made the whole process effortless. I'm beyond impressed!

Feb 16, 2025

Brian Raine

Feb 16, 2025

Tomi Horvat

This site is amazing! The AI tools saved me so much time. I secured two contracts.

Feb 16, 2025

Elias Nyman

Feb 16, 2025

Ruben

Feb 16, 2025

Zayn

Mar 9, 2025

Lena Kindler

Nov 24, 2025

Janos Kocsis

Nov 10, 2025

Andrea Martins

Aug 23, 2025

Remote Data Engineer Jobs in the USA — Build Scalable Data Pipelines

Remote Data Engineer jobs in the United States

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Over 200,000 job seekers trust us

Remote Data Engineer Jobs in the USA — Build Scalable Data Pipelines

Frequently Asked Questions

What is the average salary for a data engineer in the USA?

What skills are required for a data engineer role?

What tools and technologies should a data engineer know, such as SQL, Python, Spark, or AWS?

What does a data engineer do on a daily basis?

Is this a fully remote data engineer role, or are occasional office visits required?

What kind of data pipelines, ETL, and cloud data warehouse experience is expected for this remote role?

What are the career growth opportunities for a data engineer?

Remote Data Engineer jobs in the United States

500+ jobs found

Data engineer

Sr. data engineer

Data engineer (remote us)

Data engineer-ii

Data engineer

Data engineer ii

Data engineer (i)

Data engineer

Data engineer (remote)

Data engineer

Data engineer (ai & automation)

Data engineer

Data engineer, enterprise data, analytics and innovation, digital innovation

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer ii

Staff data engineer

Data engineer i - data platform

Data analytics engineer

Data engineer ii

Data engineer

Data engineer

Staff data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer

Data engineer-6336

Data engineer

Stop wasting hours on applications

Over 200,000 job seekers trust us

Remote Data Engineer Jobs in the USA — Build Scalable Data Pipelines

Frequently Asked Questions

What is the average salary for a data engineer in the USA?

What skills are required for a data engineer role?

What tools and technologies should a data engineer know, such as SQL, Python, Spark, or AWS?

What does a data engineer do on a daily basis?

Is this a fully remote data engineer role, or are occasional office visits required?

What kind of data pipelines, ETL, and cloud data warehouse experience is expected for this remote role?

What are the career growth opportunities for a data engineer?

500+ jobs found

Data engineer

Sr. data engineer

Data engineer (remote us)

Data engineer-ii

Data engineer

Data engineer ii

Data engineer (i)

Data engineer

Data engineer (remote)

Data engineer

Data engineer (ai & automation)

Data engineer

Data engineer, enterprise data, analytics and innovation, digital innovation

Stop wasting hours
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Frequently Asked
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Stop wasting hours
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Frequently Asked
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