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

INDEX ANALYTICS LLC

Senior Data Engineer

Windsor Mill, MD · On-site

$107K - $146K/yr

  • Medical

  • Retirement

The Sr. Data Engineer plays a key role in modernizing the organization's data ecosystem by architecting data solutions using a contemporary infrastructure. As part of a cross-functional team ...

Deloitte

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Quevera LLC

Senior Data Engineer

Annapolis Junction, MD · On-site

$166K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Quevera is seeking a highly experienced Senior Data Engineer with an active TS/SCI clearance with Polygraph to support mission-critical programs in Annapolis Junction, Maryland . In this role, you ...

Quevera LLC

Senior Data Engineer

Annapolis, MD · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Quevera is seeking a highly experienced Senior Data Engineer with an active TS/SCI clearance with Polygraph to support mission-critical programs in Annapolis Junction, Maryland . In this role, you ...

Leidos

Senior Data Engineer

Silver Spring, MD · On-site

$131K - $237K/yr

  • Medical

  • Retirement

  • PTO

Leidos is seeking a mission-driven Senior Data Engineer to join our high-impact team supporting the National Digital Exploitation and Open Source Center (NDOC) DOMEX Technology Platform (DTP). In ...

The Banner

Senior Data Engineer

Baltimore, MD · On-site

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role The Banner is seeking an experienced and hands-on Senior Data Engineer to help scale and mature our modern cloud-based data platform as we expand operations through the acquisition and ...

The Banner

Senior Data Engineer

Baltimore, MD

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role The Banner is seeking an experienced and hands-on Senior Data Engineer to help scale and mature our modern cloud-based data platform as we expand operations through the acquisition and ...

Baltimore Banner

Senior Data Engineer

Baltimore, MD · On-site

$105K - $143K/yr

Baltimore Banner is one of Baltimore's Best Places to Work, seeking an experienced Senior Data Engineer to enhance their cloud-based data platform. The role focuses on building scalable data ...

The Whiteside Agency

Senior Data Engineer

Hunt Valley, MD · On-site

$139K - $230K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Baltimore, MD

Senior Data Engineer information

See Baltimore, MD salary details

$80.5K

$125.5K

$173.9K

How much do senior data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior data engineer in Baltimore, MD is $125,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $143,100.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Baltimore, MD? The most popular types of Data Engineer jobs in Baltimore, MD are:
What are popular job titles related to Senior Data Engineer jobs in Baltimore, MD? For Senior Data Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Baltimore, MD look for? The top searched job categories for Senior Data Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Senior Data Engineer jobs? Cities near Baltimore, MD with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $125,525 per year, or $60.3 per hour.

Senior Data Engineer

Capital Technology Group

Silver Spring, MD

$109K - $148K/yr

Full-time

Posted 16 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 Senior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Senior 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
  • 9+ 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 $130k to $165k 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.