2

Remote Amazon Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... The Palantir Data Engineer leverages advanced Python skills within a small team to develop and ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Client is seeking a data engineer to grow our team performing cutting edge client work in mission ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

$130K - $170K/yr

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Palantir Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer ... Data Engineer will conduct code reviews, solution brainstorming, and define UI designs and ...

Azure Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242562 Location: McLean,VA,US Share job via: Share Additional Locations: * Melbourne, Florida, USA Azure Data Engineer The Opportunity: Ever-expanding technology ...

Data Engineer (Databricks) - Remote USA

Reston, VA · Remote

$119K - $143K/yr

You'll be joining a cross-functional team of full stack developers, data engineers, and data ... This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings.

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

Senior Data Engineer

Herndon, VA · Remote

$109K - $148K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

POSITION TITLE Principal Data Engineer POSITION LOCATION This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants residing in ...

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ...

Lead Data Engineer

Reston, VA · Remote

$106K - $140K/yr

Remote. Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer science, or a related technical field required; aMaster'sdegree is preferred. Clearance Level

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote applicants residing in states/locations under Eastern Standard Time: Connecticut, Delaware, Florida, Georgia ...

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote applicants residing in states/locations under Eastern Standard Time: Connecticut, Delaware, Florida, Georgia ...

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote applicants residing in states/locations under Eastern Standard Time: Connecticut, Delaware, Florida, Georgia ...

next page

Showing results 1-20

Remote Amazon Data Engineer information

Can I work remotely as a data engineer?

Remote work is common for data engineers, including those working with companies like Amazon. Many data engineering roles involve tasks such as data pipeline development, database management, and cloud platform usage, which can often be performed remotely with the right skills and tools. However, some positions may require on-site presence for collaboration or specific project needs.

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms and big data tools may earn higher salaries, often exceeding $160,000.

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.

Does Amazon hire for remote work?

Amazon offers remote work opportunities for various roles, including data engineers, depending on the position and team needs. Many remote positions require relevant skills, such as experience with cloud platforms like AWS, and may involve flexible schedules or specific technical requirements.

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 engineers make $500,000?

Senior data engineers, especially those working at large tech companies like Amazon, can earn $500,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in data architecture, cloud platforms, and programming, as well as a track record of impactful projects.

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 the most commonly searched types of Amazon Data Engineer jobs in Virginia? The most popular types of Amazon Data Engineer jobs in Virginia are:
What job categories do people searching Remote Amazon Data Engineer jobs in Virginia look for? The top searched job categories for Remote Amazon Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Amazon Data Engineer jobs? Cities in Virginia with the most Remote Amazon Data Engineer job openings:
Data Engineer

Data Engineer

Shift5

Arlington, VA • Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 18 days ago


Job description

About Shift5

Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance.

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and integration pipelines. You will report to our Off Vehicle Manager, Software Engineering, and operate in a team-based environment with engineers, product managers, program managers, and designers to conceive, implement, and shape major features. You'll be a major factor in generating high-impact products that literally save lives.

What You'll Do
  • Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
  • Feature Ownership: Interpret requirements and design specifications, taking full ownership of building features from the ground up.
  • Write Quality Code: Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.
  • Cross-Functional Collaboration: Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry.
  • Support Stakeholders: Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making.
  • Cloud Optimization: Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services.
  • Data Analysis & Quality: Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines.
  • Field Support: Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.
What Success Looks Like
  • High-Impact Delivery: You successfully deliver scalable, observable, supportable, and reliable data processing applications that empower customers to run smarter, safer fleets.
  • End-to-End Ownership: You confidently steer features from initial requirements gathering and design through planning and implementation in a fast-paced environment.
  • Collaborative Impact: You actively shape product design alongside multidisciplinary teams, contributing directly to a culture of high performance and mission readiness.
  • Adaptability: You efficiently multitask and smoothly accommodate changing priorities on demand to meet the dynamic needs of a scaling company.
What We're Looking For
  • Engineering Experience: 2+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts.
  • Core Languages: 2+ years of experience with a major programming language (GoLang, Java, or Python).
  • Databases & Big Data: 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 2+ years of experience with Big Data (Hadoop, Spark) and Data Modeling.
  • Cloud & Containers: 2+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools.
  • Data Pipelines: Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos.
  • Modern Data Stack: Familiarity with modern data stack components including data ingestion, transformation, and orchestration.
  • U.S. citizenship required and ability to obtain a security clearance.
  • Data Architecture: Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift).
  • DevOps Practices: Proficiency with CI/CD, source control, design reviews, and integrating observable practices.
  • Travel Flexibility: Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts.
Compensation & Benefits
  • Base Salary: $130,000 - 170,000
  • Bonus program and equity in a fast-growing startup
  • Competitive salary and stock options in a fast-growing startup
  • Employer-paid medical, dental and vision coverage
  • Health Savings Account with annual employer contributions
  • Life Insurance
  • Uncapped paid time off policy
  • Flexible work & remote work policy
  • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)
Equal Opportunity Employer

Shift5 is committed to equal employment opportunity and affirmative action. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Shift5 is an Equal Opportunity Employer.

Privacy Policy and Notice for Shift5, Inc. Job Applicants, Employees & Contractors