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Remote Amazon Data Engineer Jobs in Laurel, MD (NOW HIRING)

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Data Engineer II or III WHY 540? 540 is a forward-thinking company that the government turns to in ...

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of ... Work Flexibility This role is eligible for full time remote work.

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that ... Experience with modern cloud data platforms such as Snowflake, Databricks, Amazon Redshift, Google ...

Data Engineer II (Remote)

Arlington, VA · Remote

$117K - $140K/yr

Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse ...

Lead Data Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

We are seeking a Lead Data Engineer to provide technical leadership for the Shared Services, Pharmacy, SIU, and Core Functions data portfolios. This role serves as the senior technical leader ...

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

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

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 ...

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... The Senior Data Engineer will work with technical teams, program leadership, and government ...

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Senior Data Engineer

Arlington, VA · Remote

$121K - $165K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Senior Data Engineer WHY 540? 540 is a forward-thinking company that the government turns to in ...

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Showing results 21-40

Remote Amazon Data Engineer information

See Laurel, MD salary details

$44.1K

$128.6K

$176K

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

As of Sep 6, 2026, the average yearly pay for remote amazon data engineer in Laurel, MD is $128,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 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 are popular job titles related to Remote Amazon Data Engineer jobs in Laurel, MD?

For Remote Amazon Data Engineer jobs in Laurel, MD, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Engineer jobs in Laurel, MD look for?

The top searched job categories for Remote Amazon Data Engineer jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Remote Amazon Data Engineer jobs?

Cities near Laurel, MD with the most Remote Amazon Data Engineer job openings:

Infographic showing various Remote Amazon Data Engineer job openings in Laurel, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,609 per year, or $61.8 per hour.

Data Engineer

540

Arlington, VA • Remote

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

540 is seeking a Data Engineer to support a mission-critical federal health data modernization initiative. The team is bringing together data from diverse defense and federal systems to build scalable pipelines, APIs, and data products that improve how critical information is integrated, accessed, and used.

In this role, you'll work hands-on with complex health and mission data to develop scalable, production-ready capabilities while helping establish reusable patterns for data ingestion, integration, and delivery. Your work will contribute to the technical foundation of a growing data platform ecosystem supporting multiple teams, data products, and mission areas.

Location: Remote within the continental United States. Periodic travel may be required
Citizenship & Clearance Requirement: per client requirements, candidates must be U.S. Citizens with an active DoW Secret (or higher) clearance
Education Requirement: Bachelor's Degree in Computer Science, Engineering, Data Science, or a related technical field (preferred)
540 Internal Thrive Level: Data Engineer II or III

WHY 540?

540 is a forward-thinking company that the government turns to in order to #getshitdone. We don't just talk about innovation – we deliver it. We break down barriers, build impactful technology, and solve mission-critical problems.

HOW YOU'LL DRIVE IMPACT

  • Design, develop, and maintain scalable, production-ready data pipelines using Spark, Python, and SQL in a Databricks environment
  • Integrate and transform diverse health, financial, and operational datasets into reliable, reusable data products
  • Develop data models and analytics datasets that support enterprise reporting and operational decision-making
  • Build and maintain API-based integrations for ingesting and exchanging data across systems
  • Monitor, troubleshoot, and optimize scheduled workflows and production pipelines for performance, reliability, and scalability
  • Implement data validation, quality checks, lineage, and governance practices that improve trust in data products
  • Contribute to automated testing, code reviews, technical documentation, and reusable engineering patterns
  • Collaborate with engineers, architects, analysts, and customer stakeholders to translate data needs into practical technical solutions

REQUIRED SKILLS & EXPERIENCE

  • 3+ years of data engineering, software engineering, or related technical experience
  • Strong proficiency with Python and SQL
  • Experience with Apache Spark or similar distributed data-processing frameworks
  • Experience working with Databricks or a similar modern data platform
  • Experience building and maintaining production data pipelines and ETL/ELT processes
  • Working knowledge of data modeling and transforming raw data into reusable analytics datasets or data products
  • Experience integrating or consuming data through REST APIs
  • Experience troubleshooting and optimizing data pipelines for performance and reliability
  • Familiarity with data validation, quality, governance, security, privacy, and compliance considerations
  • Experience with Git-based development workflows and modern software engineering practices
  • Comfort working in terminal and command-line environments
  • Experience using AI-assisted development tools to accelerate routine engineering tasks, testing, documentation, and debugging
  • Strong communication skills and experience working with customers or stakeholders to understand and resolve data needs
  • Ability to navigate ambiguity, learn unfamiliar systems, and independently drive assigned work toward resolution

NICE TO HAVE SKILLS & EXPERIENCE

  • AWS cloud experience
  • Experience working with very large datasets, including datasets containing billions of records
  • Experience with Palantir Foundry
  • Experience with Advana or similar DoW data environments
  • Experience with GitLab, CI/CD pipelines, or automated deployment workflows
  • Experience working with federal health, financial, or other regulated and sensitive data

BENEFITS & PERKS

  • Flexible PTO + all Federal holidays off
  • Health, dental and vision insurance plans
  • Flexible Spending Account (FSA)
  • 401k with employer match
  • Company-sponsored life insurance, short- and long-term disability 
  • Professional development (training, certifications, conferences)
  • Paid cloud developer accounts
  • Referral bonuses
  • HQ office perks (parking / metro reimbursement, nitro coffee & lunches) 
  • Annual social events (540 Week, hackathon, charity golf tournament, etc.)
  • Access to 540's Washington Capitals & Nationals tickets

EQUAL EMPLOYMENT OPPORTUNITY (EEO)

540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.