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

Capital Technology Group

Data Engineer

Silver Spring, MD

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Build AI-enabled data solutions using Amazon Bedrock , RAG pipelines , and vector search ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

Deloitte

Lead Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Work You'll Do As a Lead Data Engineer on the AI & Data team, you will be responsible for leading ... NET, Amazon Web Services (AWS), Amazon Elastic Container Service (ECS), and Databricks * Ability to ...

eSimplicity

Data Engineer

Columbia, MD · On-site

$93K - $136K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Amazon Managed Workflows for Apache Airflow (MWAA). * Load data accurately and optimally into S3 ...

Syndicus, Inc.

Data Engineer

Columbia, MD

$170K/yr

Description We are seeking a talented Data Engineer to support the ingestion of mission-critical ... Amazon S3, SQS/SNS Admin experience * Apache Airflow Workloads via UI or CLI a plus * Experience ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

Deloitte

Data Engineer II

Baltimore, MD

$113K - $136K/yr

... Amazon Redshift * 1+ years of experience with version control and continuous integration tools * 1+ years of experience supporting data quality, metadata, and data lineage processes * 1+ years of ...

Deloitte

Palantir Foundry Data Engineer

Baltimore, MD

$113K - $136K/yr

... Amazon Redshift * 1+ years of experience with version control and continuous integration tools * 1+ years of experience supporting data quality, metadata, and data lineage processes * 1+ years of ...

Pwc

Data Engineer - Manager

Baltimore, MD · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Leidos

Senior Data Engineer

Silver Spring, MD · On-site

$131K - $237K/yr

Graph databases such as JanusGraph, Neo4j, TigerGraph, Amazon Neptune, or Memgraph . * Data ... Python or Java for data engineering and automation. You will wow us even more if you have some of ...

Stellent IT LLC

Cloud Data Engineer

Nottingham, MD · On-site

$114K - $136K/yr

Cloud Data Engineer Nottingham, Maryland(Hybrid, 2 3 days on-site / week) Phone + SKype Visa : USC ... Build and support components and infrastructures of the data warehouse in Amazon Redshift. Develop ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Partnering with engineering, product, and data teams, this position provides technical leadership ... Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms. * Knowledge of MLOps ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

Partnering with engineering, product, and data teams, this position provides technical leadership ... Amazon Web Services (AWS), Google Cloud Platform (GCP), or similar platforms. * Knowledge of MLOps ...

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

Amazon Data Engineer information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do amazon data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon data engineer in Baltimore, MD is $128,886.00, 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 are the key skills and qualifications needed to thrive as an Amazon data engineer?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What do Amazon data engineers do?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon data engineer?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What are the most commonly searched types of Amazon Data Engineer jobs in Baltimore, MD? The most popular types of Amazon Data Engineer jobs in Baltimore, MD are:
What are popular job titles related to Amazon Data Engineer jobs in Baltimore, MD? For Amazon Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in Baltimore, MD look for? The top searched job categories for Amazon Data Engineer jobs in Baltimore, MD are:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $128,886 per year, or $62 per hour.

Data Engineer

Capital Technology Group

Silver Spring, MD

$118K - $142K/yr

Full-time

Posted 12 days ago

Job description

Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

The CTG Experience

At Capital Technology Group (CTG), our teams are passionate about modernizing how the federal government delivers software. We partner with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026. CTG fosters a culture rooted in our core values. Our values guide how we work together and support one another, creating an environment where employees feel trusted, empowered, and encouraged to grow both personally and professionally.

About the Role

CTG is seeking a Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.

You Will Get To
  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), Databricks, dbt, SQL (PostgreSQL), and AWS Glue.
  • Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch.
  • Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro.
  • Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies.
  • Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases.
  • Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes.
  • Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures.
  • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.
  • Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST 800-53 security controls.
  • Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services.
  • Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.
  • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders.
Who You Are
  • A strategic data engineer who enjoys designing complex systems and solving complex challenges
  • Strong in modern cloud-based solution design
  • Comfortable balancing business needs with technical constraints and long-term strategy
  • A strong communicator
  • Collaborative, proactive, and comfortable navigating ambiguity
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 4+ years of professional experience in data engineering or related domains
  • Strong hands-on experience with:
    • Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.
    • Designing, building, and maintaining AWS-native data platforms using AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch.
    • Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.
    • Working with modern data lake technologies including Apache Iceberg and data formats such as Parquet, ORC, and Avro.
    • Designing and optimizing solutions using relational and NoSQL databases including PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL platforms.
    • Building reliable, high-performance data platforms through performance tuning, system optimization, and enterprise-scale ETL/ELT architectures.
    • Java development and modern CI/CD practices using Harness.
  • Strong analytical and problem-solving skills
  • Experience working in agile, iterative software development environments
  • Ability to quickly learn and apply new technologies and domain knowledge
  • Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences
Nice to Have
  • Experience supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus.
  • Experience with Kafka (streaming/data pipelines)
  • Experience with Docker and Kubernetes for containerization and orchestration
  • Proficiency with Splunk for log aggregation and system monitoring
  • Experience using Terraform for infrastructure automation and management
  • Strong SQL skills, including performance tuning and complex query design
Salary

We are committed to offering a competitive salary for this position, with an estimated range of $110k to $140k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.

Full Time Employee Benefits
  • Remote Work (Hybrid roles will be specified in the job post)
  • Competitive Compensation Package
  • Medical, Dental, and Vision
  • Life Insurance, Short/Long Term Disability
  • Employee Assistance Program
  • 401(k) with 4% matching
  • Liberal PTO vacation policy
  • Generous Annual Continuing Education
  • Annual Wellness Budget
  • Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.