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Remote Amazon Data Engineer Jobs (NOW HIRING)

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to ...

Leading Utilities Organization

Data Engineer

Charlotte, NC · On-site +1

$111.80K - $134.30K/yr

Data Engineer Location: Charlotte, NC (Hybrid/Remote) Work Setting: Preference for Hybrid but open ... Build and operate AI/ML and search capabilities on Amazon OpenSearch, including vector search ...

Strategic Staffing Solutions

Data Engineer

Charlotte, NC · On-site +1

$111.80K - $134.30K/yr

Data Engineer Location: Charlotte, NC (Hybrid/Remote) Work Setting: Preference for Hybrid but open ... Build and operate AI/ML and search capabilities on Amazon OpenSearch, including vector search ...

empyrean

Cloud Data Engineer

Houston, TX · Remote

$109.30K - $131.30K/yr

Amazon MWAA / Apache Airflow * Step Functions * S# / Lake Formation * Architect and maintain data ... Remote

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

Google, Amazon, Uber, Dropbox etc...). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to ...

Empyrean Services

Cloud Data Engineer

Houston, TX · Remote

$109.30K - $131.30K/yr

Amazon MWAA / Apache Airflow * Step Functions * S# / Lake Formation * Architect and maintain data ... RZ1 #LI-Remote Empyrean is an Equal Opportunity Employer: including disability and protected ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77.60K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon ...

Navtech

Sr Data Engineer

Lake Saint Louis, MO · Remote

$108.50K - $130.30K/yr

Remote till march 2022 Duration : 6 Months C2H W2 ONLY Day to Day Responsibilities of this Position ... CockroachDB, Amazon Aurora and Redis; Linux - RedHat; Continuous Integration and Deployment ...

Barbaricum

Data Engineer

Omaha, NE · On-site +1

$109.50K - $131.50K/yr

Utilize Amazon Web Services (AWS) hosted big data technologies to store, format, process, compute ... remote support.

Wondr Health

Data Engineer

Dallas, TX · On-site +1

$113.70K - $136.60K/yr

Amazon Redshift, IaC, DB2 experience desirable. General Working Conditions : General office working ... remote work from home or in the office. Each department head determines if the position is work ...

Wondr Health

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Amazon Redshift, IaC, DB2 experience desirable. General Working Conditions: General office working ... remote work from home or in the office. Each department head determines if the position is work ...

Accenture Federal Services

Data Engineer

$117.20K - $140.70K/yr

The Data Engineer role involves designing and maintaining scalable data pipelines, integrating ... Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark ...

Mactores

AWS Data Engineer (Associate)

$117.20K - $140.70K/yr

As an AWS Data Engineer, you will collaborate with business leads and data scientists to build data ... Responsibilities : • Write efficient code in - PySpark, Amazon Glue • Write SQL Queries in ...

New

Accenture Federal Services

Data Engineer

$117.20K - $140.70K/yr

The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing ... Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126.10K - $151.40K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

InStride Health

Data Engineer II

$110K - $125K/yr

This role reports to the Director of Data Engineering and is a fully remote position ... Hands-on experience with cloud data warehouses (Amazon Redshift preferred; Snowflake or BigQuery ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113.60K - $136.40K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Delineate

Data Engineer II

Indianapolis, IN · On-site +1

$109.40K - $131.40K/yr

... remote work, Professional development, Access to life insurance benefits, short and long-Term ... Experience with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.

4 Staffing Corp

Data Engineer (Financial Services)

Newark, NJ · On-site +1

$119.60K - $143.60K/yr

Hybrid onsite/remote - Newark, NJ * No visa sponsorship or C2C at this time Our client is seeking a ... Demonstrated proficiency in working with containerization technologies like ECS (Amazon Elastic ...

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Remote Amazon Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do remote amazon data engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote amazon 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.

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

To thrive as a Remote Amazon Data Engineer, you need strong expertise in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with AWS services like Redshift, S3, Glue, and data pipeline tools, as well as certifications such as AWS Certified Data Analytics, are highly valued. Excellent problem-solving, communication, and self-management skills help remote engineers collaborate effectively and deliver reliable data solutions. These abilities are crucial for ensuring robust, scalable data infrastructure and supporting data-driven decision-making in a distributed work environment.

What are some common challenges faced by Remote Amazon Data Engineers, and how can they be addressed?

Remote Amazon Data Engineers often encounter challenges related to collaborating across time zones and ensuring clear communication with global teams. Effective use of collaboration tools, regular virtual meetings, and clear documentation can help bridge these gaps. Additionally, managing large-scale data pipelines on AWS requires staying updated on best practices for security, scalability, and cost optimization. Proactively participating in team stand-ups and engaging in continuous learning about AWS services can significantly enhance productivity and project outcomes.

What does a Remote Amazon Data Engineer do?

A Remote Amazon Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases for Amazon or companies using Amazon Web Services (AWS). They work remotely to process large volumes of data, ensure data quality, and enable efficient data analysis. Their tasks typically include extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytics platforms. They often use AWS tools such as Redshift, Glue, S3, and Lambda to manage infrastructure and automate workflows. Strong programming skills in languages like Python or SQL are essential for this role.

What is the difference between Remote Amazon Data Engineer vs Remote Amazon Data Analyst?

AspectRemote Amazon Data EngineerRemote Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDesigning data pipelines, managing ETL processesInterpreting data, creating reports and dashboards
Employer & Industry UsageTech companies, e-commerce, cloud servicesRetail, marketing, e-commerce
Common Search & ComparisonFocus on data infrastructure and pipelinesFocus on data insights and reporting

The main difference between a Remote Amazon Data Engineer and a Remote Amazon Data Analyst lies in their roles. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in data architecture. Data Analysts interpret data to generate insights, focusing on analysis and reporting. Both roles are essential in data-driven companies but serve different functions within the data ecosystem.

More about Remote Amazon Data Engineer jobs
What cities are hiring for Remote Amazon Data Engineer jobs? Cities with the most Remote Amazon Data Engineer job openings:
What are the most commonly searched types of Amazon Data Engineer jobs? The most popular types of Amazon Data Engineer jobs are:
What states have the most Remote Amazon Data Engineer jobs? States with the most job openings for Remote Amazon Data Engineer jobs include:
What job categories do people searching Remote Amazon Data Engineer jobs look for? The top searched job categories for Remote Amazon Data Engineer jobs are:
Remote Amazon Data Engineer jobs near you
Infographic showing various Remote Amazon Data Engineer job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 83% Full Time, 13% Contract, and 2% Nights. Highlights an 93% Physical, 6% Hybrid, and 1% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer - Reno, NV (Remote or Hybrid)

Mercury Group Staffing

Reno, NV • On-site, Remote

$58.83 - $82.37/hr

Other

Posted 24 days ago

Job description

Data Engineer - Reno, NV (Remote or Hybrid)

Job Title: Data Engineer Location: Reno, NV (Remote or Hybrid) Salary Range: $58.83-$82.37 per hour

Primary Responsibilities:

  • Experience with AWS infrastructure including AWS Connect and AWS Lambda.
  • Manage and optimize the movement and validation of data from an Epic EMR system to SQL databases in AWS or Azure and either from or to the Salesforce platform.
  • Accountable for data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance.
  • Oversee the development of novel data pipelines that integrate and normalize large data from a variety of sources to enable learning health, machine learning model development, and deployment.
  • Design, direct, and implement ETL processes, including data capture, data quality, testing, and validation methods.
  • Layer in instrumentation in the development process so that data pipelines can be monitored.
  • Build processes and diagnostic tools to troubleshoot, maintain, and optimize engineering environments and respond to production issues.
  • Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines for AWS.
  • Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.
  • Develop documentation, such as data dictionaries, guides, or data flow diagrams that assist staff in identifying, locating, and using the organizations data.

Incumbent Must Possess:

  • Minimum of 3 years of SQL programming experience and associated SQL tools (SSIS, SSMS, SSRS, etc.).
  • Experience with Visual Studio is preferred.
  • At least 3 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
  • Minimum of 3 years of RDBMS experience.
  • Extensive hands-on experience implementing data migration and data processing using Amazon Web Services. Includes knowledge of Amazon Connect and Amazon Lambda.
  • Knowledge of medical terminology, especially ICD-10 codes, CPT codes, DRG codes, and an understanding of adjudicated claims data.
  • Excellent verbal and written communication skills.

Minimum Qualifications:

  • Education: Masters degree with 10 years experience preferred; Bachelors degree with 13 years of equivalent experience will be considered in place of masters degree requirement.
  • Experience: Requires a minimum of 10 years experience with at least five (5) years working in data management, data engineering, or data architecture. Enterprise Data Warehouse development preferred; Requires at least five (5) years working with healthcare data; more is preferred. SQL proficiency is required.
  • License(s): None
  • Certification(s): Certification work related to Epic or Amazon Cloud may be required within 1 year of starting employment.
  • Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and can use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

This role offers a unique opportunity to work on cutting-edge data engineering projects in the healthcare industry. If you meet the qualifications and are excited about the potential of this role, we encourage you to apply.

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