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

Senior Data Engineer

Baltimore, MD ยท On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

Senior Data Engineer

Baltimore, MD ยท On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

Big Data Engineer

Tysons, VA ยท Remote

$65 - $70/hr

Hybrid 3 days onsite / 2 days remote in Tysons Corner, VA Our client is seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems.

New

Sr. Staff Data Engineer

Mclean, VA ยท On-site +1

$107K - $145K/yr

Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Data Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished Data Engineer New York, NY: $343,400 - $392,000 for Sr ...

ETL Data Engineer

Tysons, VA ยท Remote

$70 - $88/hr

Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data Engineer to build ... Experience with foundation model APIs such as Anthropic Claude, Amazon Nova, or OpenAI.

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Integrate data engineering workflows with existing software systems and platforms. * Monitoring and ...

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

AWS Cloud Data Engineer Location: McLean, VA Type: Long-term contract Work Model ... Remote Hours: 40.0 Security Clearance: Ability to obtain a Federal Public Trust clearance Contact:

Showing results 41-60

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.

Senior Data Engineer

NinjaOne

Baltimore, MD โ€ข On-site, Remote

$105K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

About the Role

At NinjaOne, weโ€™re looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOneโ€™s expanding product offering. Youโ€™ll build the pipelines and data foundations that provide line of sight into product health, adoption, and performance turning raw, messy data into clean, usable datasets that data scientists, analysts, and stakeholders across the Product organization can rely on. This is an exciting opportunity to work at the intersection of business and highly technical products, partner with teams across Product and Engineering, and help shape how we use data to guide product decisions in a fast-paced environment.

Location โ€” We are flexible on remote working from home, if you are located in the USA and reside in one of the following states: CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

What You'll be Doing

  • Product Visibility & Health: Drive line of sight into how our products are used and performing by building the data foundation behind product health, adoption, and usage analytics.
  • Data Pipeline Development: Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load data from multiple sources, making it usable for analysts and data scientists across the org.
  • Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare structured and unstructured data for modeling โ€” including product usage, adoption, and customer behavior work.
  • Data Cleaning & Preparation: Own the transformation of raw, messy data into clean, well-structured datasets, including feature engineering support (e.g., creating dimensions, discretizing variables).
  • Product Telemetry & Streaming Data: Build and maintain pipelines for product telemetry, event, and streaming data sources as the teamโ€™s needs grow.
  • Complex Systems Fluency: Get familiar with NinjaOneโ€™s distributed product architecture and the data it generates, and translate that complexity into clean, well-modeled datasets that bridge business questions with highly technical products.
  • Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Collaboration: Work closely with data science and analytics teammates and with stakeholders and teams across Product and Engineering to gather requirements and ensure clean, usable data flows to the right people.
  • Other duties as needed.

About You

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
  • 7+ years of experience in software development, with a strong focus on data engineering and data science.
  • Demonstrated business impact and growth in prior roles
  • Expertise in Python and SQL.
  • Experience building ETL pipelines and managing large-scale data systems.
  • Strong experience with Databricks, dbt, and AWS data services; experience with Unity Catalog is a plus.
  • Comfortable working with structured and unstructured data; experience with product telemetry, event, or streaming data is a plus.
  • Solid understanding of data cleaning, preparation, and feature engineering to support downstream modeling.
  • Experience with Tableau or similar BI tools for dashboarding and visualization.
  • Able to work independently with messy data from sourcing through cleaning to handoff for modeling and comfortable operating in a fast-paced environment.
  • Strong communicator able to work directly with technical and non-technical stakeholders and bridge business needs with highly technical work.

Experience that will make you a standout candidate:

  • Previous experience partnering directly with data scientists or analytics teams on model-ready data pipelines.
  • Experience with product analytics usage metrics, adoption and retention analysis, or telemetry/event data at scale.
  • Understanding of Generative AI and Deep Learning frameworks.
  • Experience with streaming frameworks (e.g., Kafka, Kinesis, Spark Structured Streaming).

About Us
NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries.
The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS. Knowing large-scale datastore bottlenecks, asynchronous application design, and client-server architecture will help you.

What You'll Love

  • We are a collaborative, kind, and curious community.
  • We honor your flexibility needs with full-time work that is hybrid remote.
  • We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
  • We help you prepare for your financial future with our 401(k) plan.
  • We prioritize your work-life balance with our unlimited PTO.
  • We reward your work with opportunity for growth and advancement.

Additional Information
This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year. For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.

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