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

INTELLIPLACERS, LLC

AWS Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR. * Implement incremental loads ...

Capital Technology Group

Data Engineer

Silver Spring, MD · On-site

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache ...

Pwc

Data Engineer - Senior Manager

Baltimore, MD

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Tachyon Technologies

AWS Architect

Owings Mills, MD · Hybrid

$70/hr

AWS Data Architect Location : Owings Mills MD Duration : 12 Months Contract Person will start ... data engineering along CI/CD pipeline. They will need good leadership skills Ability to drive ...

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

Booz Allen Hamilton

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ... engineering practices Clearance: Applicants selected will be subject to a security investigation ...

Booz Allen Hamilton, Inc.

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ... engineering practices Clearance: Applicants selected will be subject to a security investigation ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ... engineering practices Clearance: Applicants selected will be subject to a security investigation ...

Jobtailor

Hybrid Data Engineer

Hanover, MD · On-site

$110 - $140/hr

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 ...

Real Soft, Inc.

Data Engineer

Columbia, MD · On-site

$114K - $138K/yr

Citizenship required . * 14+ years of experience in data engineering, software engineering, or ... Hands-on experience with Kafka, NiFi, and AWS (S3, SQS) * Proficiency in Java and/or Python , with ...

INDEX ANALYTICS LLC

Sr. Data Engineer

Baltimore, MD

$116K - $139K/yr

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

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 ...

Analygence

Data Engineer III

Fulton, MD · On-site

$111K - $134K/yr

Tharros is seeking a Senior Data Engineer to support a Department of Defense customer in designing ... and AWS big data technologies to improve the availability, reliability, and scalability of ...

Analygence

Data Engineer IV

Fulton, MD · On-site

$111K - $134K/yr

Tharros is seeking a Lead Data Engineer to support a Department of Defense customer in designing ... and AWS big data technologies to improve the availability, reliability, and scalability of ...

Analygence

Data Engineer II

Fulton, MD · On-site

$111K - $134K/yr

Tharros is seeking a Data Engineer to support a Department of Defense customer in designing ... and AWS big data technologies to improve the availability, reliability, and scalability of ...

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

Aws Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do aws data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for 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 an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

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

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

What is the difference between Aws Data Engineer vs Data Analyst?

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

What are the most commonly searched types of Aws Data Engineer jobs in Baltimore, MD?

The most popular types of Aws Data Engineer jobs in Baltimore, MD are:

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

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

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

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

Aws Data Engineer jobs near you
Infographic showing various Aws Data Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $128,891 per year, or $62 per hour.

AWS Data Engineer

Baltimore, MD • On-site

INTELLIPLACERS, LLC
See more jobs at INTELLIPLACERS, LLCexternal

$113K - $136K/yr

Other

Posted 4 days ago

Job description

Role: Data Engineer
Location: Baltimore City, MD (Hybrid)
Duration: 12+ months project with 1 one-year renewal option
Job Description:

Hands-On Data Pipeline Development

  • Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse.
  • Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR.
  • Implement incremental loads, deduplication, error handling, and data validation.
  • Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.

EDW & Data Lake Implementation

  • Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting.
  • Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats.
  • Optimize partitioning, indexing, and metadata for fast query performance.

Healthcare Data Integration

  • Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.).
  • Implement mapping and transformation of EDI data with FHIR and HL7 frameworks.
  • Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.

Data Quality, Security & Compliance

  • Develop automated validation scripts to enforce data quality and integrity.
  • Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards.
  • Maintain lineage and governance documentation for all pipelines.

Collaboration & Delivery

  • Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics.
  • Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation.
  • Continuously improve pipelines and adopt new technologies where appropriate.
Minimum Qualification:

Specialized experience: The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.

  • 3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.
  • Strong coding skills in Python and SQL (Scala or Java a plus).
  • Proven experience with Apache Spark (PySpark) for large-scale processing.
  • Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.
  • Strong debugging and performance optimization skills in distributed systems.
  • Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.
  • Experience with Airflow or other pipeline orchestration frameworks.
  • Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).
  • Practical experience with EDI X12, HL7, or FHIR data formats.
  • Strong understanding of Medallion Architecture for data lake houses.
  • Hands-on experience building dimensional models and data warehouses.
  • Working knowledge of HIPAA and CMS interoperability requirements.

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