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Remote Aws Data Engineer Jobs in Baltimore, MD (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional ... Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... AWS certifications are a plus. Employment Type: FULL_TIME

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Experience with cloud data platforms (AWS, Snowflake), preferably within a regulated industry ... Work Flexibility This role is eligible for full time remote work.

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ...

Index Analytics

Sr. Data Engineer

Baltimore, MD · On-site +1

$129K - $178K/yr

This role blends advanced data engineering with hands-on cloud solutions engineering, leveraging AWS, Snowflake, and modern DevOps practices. The ideal candidate has experience delivering high ...

New

Sbdinc

Senior Manager, Data Engineering

Towson, MD · Remote

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your ... Design and implement scalable, secure, and resilient data architectures across cloud (Azure, AWS ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

Experience with Azure Data Factory, AWS Glue, or similar data integration platforms. * Experience with workflow management tools like Apache Airflow. * Hands-on experience with AWS, GCP, or Azure ...

TeamWorx Security, LLC.

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 ...

CareFirst

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

The primary purpose of a Senior Data Engineer in Production Support is to maintain the seamless operation of data pipelines, databases, and analytics platforms in live environments. This includes ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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All JobsAws Data Engineer JobsRemote Aws Data Engineer JobsRemote Aws Data Engineer Jobs in Baltimore, MD

Remote Aws Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

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

As of Aug 29, 2026, the average yearly pay for remote aws data engineer in Baltimore, MD is $128,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What are the key skills and qualifications needed to thrive as a remote AWS data engineer?

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.

How does a remote AWS data engineer typically collaborate with cross-functional teams?

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

What are popular job titles related to Remote Aws Data Engineer jobs in Baltimore, MD?

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

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

The top searched job categories for Remote Aws Data Engineer jobs in Baltimore, MD are:

Remote Aws Data Engineer jobs near you

Data Engineer (Remote)

Baltimore, MD • Remote

Magpie Health Analytics
See more jobs at Magpie Health Analyticsexternal

$117K - $140K/yr

Full-time

Re-posted 2 days ago

Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  •  Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.