1

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

Senior Data Engineer

Windsor Mill, MD ยท On-site +1

$131K - $173K/yr

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 ...

Senior Data Engineer

Windsor Mill, MD ยท On-site

$107K - $146K/yr

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 ...

Senior Data Engineer

Baltimore, MD ยท 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 ...

Senior Data Engineer

Annapolis Junction, MD ยท On-site

$166K - $197K/yr

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 ...

Senior Data Engineer

Silver Spring, MD ยท On-site

$131K - $237K/yr

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 ...

Senior Data Engineer

Baltimore, MD ยท On-site

$105K - $143K/yr

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 ...

Senior Data Engineer

Baltimore, MD

$105K - $143K/yr

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 ...

Senior Data Engineer

Columbia, MD ยท On-site

$115K - $125K/yr

We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within ...

Senior Data Engineer

Baltimore, MD ยท 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 ...

Senior Data Engineer

Hunt Valley, MD ยท On-site

$139K - $230K/yr

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 ...

Posted today

Senior Data Engineer

Columbia, MD

$105K - $142K/yr

... data engineer * Production experience with Databricks, Snowflake, or BigQuery platforms * Senior-level experience with engineering practices (CI/CD, testing, monitoring, and metrics analysis)

next page

Showing results 1-20

Senior Data Engineer information

See Baltimore, MD salary details

$81.1K

$126.5K

$175.2K

How much do senior data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior data engineer in Baltimore, MD is $126,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $144,200.00 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:
Infographic showing various Senior Data Engineer job openings in Baltimore, 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 $126,485 per year, or $60.8 per hour.

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASAโ€™s science operations center for missions including the Hubble and James Webb Space Telescopes. We are seeking a Senior Data Engineerย to join our Data Management Division. Weโ€™re looking for a talented and experienced professional to help manage the backend data pipelines, MPP database system and ensure high-performance, reliable data access for our advanced astronomical public data archive, the Mikulski Archive for Space Telescopes (MAST)one of the worldโ€™s most advanced astronomical public data archivesโ€” serving missions such as HST, JWST, Roman, and TESS. This position can support hybrid work (around twice a quarter, in the office). Candidates must reside in or be willing to relocate to our local market. (MD, DE, VA, PA, DC & WV). This position requires US Citizenship or Permanent Residence to meet ITAR requirements.

Weโ€™re hiring a Senior Data Engineer with strong core engineering skills and a passion for building robust, scalable data platforms. Youโ€™ll work hands-on with real scientific datasets, modern ETL/ELT data pipelines, and advanced distributed systems in a collaborative environment that supports rapid growth. Show us your GitHub, your projects, your passion. We highly value strong fundamentals and learning agility. If youโ€™re a capable senior engineer ready to expand your expertise in modern data lake and query engine technologies, weโ€™d love to hear from you.

Responsibilities

  • PostgreSQL/MPP Platform Performance & Operationsย 
  • Airflow Pipelines โ€” Design, develop, deploy, monitor, and troubleshoot complex data pipelines using Apache Airflow to process, transform, and load large-scale datasets efficiently and reliably.
  • Build, maintain, and continuously improve data systems supporting scientific research, including relational databases and cloud-based Lakehouseย 
  • Ensure data accuracy, accessibility, observability, and reliability through proactive monitoring, alerting, and incident response
  • Work with scientists, data engineers, and cross-functional teams to translate requirements into robust, scalable platform solutions.

Required Technical Skills

  • Advanced expertise in PostgreSQL and Greenplum MPP
  • Strong proficiency with Apache Airflowย 
  • Hands-on experience with AWS cloud servicesย 
  • Strong Python programming skills andย proficiency in SQL and SQL performance tuning
  • Strong experience designing, building, and optimizing data pipelines at scale

Required Qualifications

  • Bachelorโ€™s or masterโ€™s degree in computer science, Information Technology, or a related discipline
  • 8+ years of experience as a data engineer with proven expertise in Python, PostgreSQL, Airflow, AWS services, and production-grade practices

Youโ€™ll have the opportunity to grow into:

  • Specialized technologies such as Trino for distributed querying, Apache Iceberg for lakehouse management, Greenplum or other MPP systems, and large-scale performance tuning
  • Tackling complex challenges with high-volume scientific data, query optimization, and modern data infrastructure

Our excellent benefits include:

    Employer retirement contribution โ€“ direct STScI contribution of 10% of your salary from your first day

    12 days sick leave, up to 24 daysโ€™ vacation, and 10 paid holidays

    Flexible work schedule withย healthyย work/life balance

    Comprehensive medical/dental/vision/prescription plans, and more!

    Salary range is $125,000 - $150,000. Final compensation is based on experience, skills, internal equity, and market conditions.

    Application link -ย Senior Data Engineer

    Applications received by 06/27/2026 will receive full consideration. Applications received after this date will be considered until the position is filled. Reference #:0015514

    Individuals needing assistance with the employment process can contact us atย careers@stsci.edu.

    #LIHYBRID
    ย