2

Remote Amazon Data Engineer Jobs in Colonial Beach, VA

Data Engineer

California, MD · On-site +1

$137K/yr

Data Engineer Job Duties: * Discover hidden information using massive datasets and leveraging ... This position is eligible for fully remote work from any location in the United States. Minimum ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

Senior Manager, Data Security

California, MD · On-site +1

$109K - $150K/yr

This leader will own the data security engineering pillar, with accountability for data ... This role is remote-friendly within North America. For those who prefer in-office or hybrid work ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Data Security Consultant

California, MD · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

California, MD · On-site +1

$130K - $150K/yr

... Engineer (CDPSE) are considered an asset. * Values matter to you. You bring your real self to work ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Test Engineer, Sr.

Stafford, VA · Remote

$110K - $125K/yr

Perform on-site data collection, reduction, and analysis. * Manage the Data Availability ... Compensation & Details Location 100% remote Employment type Full-time, exempt Anticipated start 15 ...

Test Engineer, Sr.

Stafford, VA · On-site +1

$110K - $125K/yr

... test data analysis support, and aids in the creation and review of test plans and reports. The ... Compensation & Details Location 100% remote Employment type Full-time, exempt Anticipated start 15 ...

ELECTRICAL ENGINEER

Quantico, VA · On-site +1

$121K - $158K/yr

... catalog data, brochures, and samples. * You will provide technical management advice to ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

next page

Showing results 1-20

Remote Amazon Data Engineer information

See Colonial Beach, VA salary details

$45.1K

$131.6K

$180.1K

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

As of Sep 7, 2026, the average yearly pay for remote amazon data engineer in Colonial Beach, VA is $131,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,500.00 per year, depending on experience, location, and employer.

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 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 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.

Can I work remotely as a remote amazon data engineer?

Yes, many Amazon Data Engineer roles are available as remote positions, allowing professionals to work from home or other locations. These roles typically require strong skills in data pipelines, cloud platforms like AWS, and relevant certifications, with companies often providing remote work options depending on the team and project needs.

How much do remote Amazon data engineers make?

Remote Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill set. Salaries can vary based on factors such as certifications, expertise in tools like AWS and Spark, and the level of seniority in the role.

What cities near Colonial Beach, VA are hiring for Remote Amazon Data Engineer jobs?

Cities near Colonial Beach, VA with the most Remote Amazon Data Engineer job openings:

Data Engineer

Manulife

California, MD • On-site, Remote

$137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Employer: John Hancock Life Insurance Company (USA)
Job Site: 200 Berkeley Street, Boston, MA 02116
Job Title: Data Engineer

Job Duties:

  • Discover hidden information using massive datasets and leveraging advanced data analytics and machine learning techniques to enable data-driven strategic decision-making. Duties include:
  • Design, build and maintain data pipelines for ETL/ELT processes for large scale datasets;
  • Migrate legacy data architectures to Azure and AWS leveraging cloud-native services for scalability;
  • Develop and optimize Spark based pipelines using databricks for large-scale data processing and Synpse for creating data pipelines;
  • Automate complex workflows for data ingestion, transformation, and delivery using Airflow;
  • Create interactive dashboards to communicate insights to business stakeholders;
  • Design and manage relational MSSQL, PostgreSQL, and NoSQL (MongoDB) databases for diverse use cases;
  • Implement secure and compliant pipelines including governance policies for sensitive data;
  • Integrate various data sources to streamline data processing and analysis using REST APIs;
  • Collaborate with data scientists to build pipelines for training and deploying machine learning models;
  • Work with cross-functional teams to gather requirements and deliver tailored data solutions;
  • Set up monitoring and alerting systems to ensure data pipeline health and reliability;
  • Use Docker to built and deploy applications and ensure consistency across development and production environments; and
  • Identify inefficiencies in existing workflows and implement process improvements to reduce costs.

This position is eligible for fully remote work from any location in the United States.

Minimum Requirements:
Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic Engineering, Information Systems or related field and 3 years of experience with Python, SQL, and ETL processes.

Experience must include the following, which may have been gained concurrently:

1) 3 years of experience with cloud platforms including AWS and Azure.
2) 3 years of experience using distributed computing frameworks including Spark, Databricks and Synapse.
3) 2 years of experience with orchestration tools including Apache Airflow.
4) 3 years of experience with data visualization tools including Power BI and Tableau.
5) 3 years of experience with database systems including SQL and NoSQL.
6) 3 years of experience using data governance, compliance, and security practices.
7) 3 years of experience with REST APIs and integration frameworks.
8) 3 years of machine learning and predictive modeling experience.
9) 3 years of experience with monitoring tools including Splunk and CloudWatch.
10) 2 years of experience using DevOps practices and containerization.

Salary: $137,946 per year

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

USA, California - Full Time Remote

Working Arrangement

Remote

Salary range is expected to be between

$90,160.00 USD - $167,440.00 USD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)