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

STScI

Senior Data Engineer

Baltimore, MD · On-site

$125K - $150K/yr

Candidates must reside in or be willing to relocate to our local market. (MD, DE, VA, PA, DC & WV ... We're hiring a Senior Data Engineer with strong core engineering skills and a passion for building ...

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 ... No relocation provided Base Compensation $125,000.00-$165,000.00 USD Most new hires fall within ...

NinjaOne

Data Software Engineer

Baltimore, MD · On-site +1

About the Role At NinjaOne, we're looking for a skilled Data Engineer to join our team and help ... self-relocate. Starting pay for the successful applicant depends on a variety of job-related ...

NinjaOne

Data Software Engineer

Baltimore, MD · On-site +1

$90K - $170K/yr

About the Role At NinjaOne, we're looking for a skilled Data Engineer to join our team and help ... self-relocate. Starting pay for the successful applicant depends on a variety of job-related ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our team and ... self-relocate. Starting pay for the successful applicant depends on a variety of job-related ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

About the Role At NinjaOne, we're looking for a skilled Senior Data Engineer to join our team and ... self-relocate. Starting pay for the successful applicant depends on a variety of job-related ...

Social Security Administration

Kafka Engineer

Woodlawn, MD · On-site +1

$143K - $197K/yr

Relocation expenses will not be paid * All qualification requirements must be met by the closing ... Work closely with architects, data engineers, and stakeholders to define requirements and deliver ...

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Showing results 1-20

All JobsData Engineer Relocation JobsData Engineer Relocation Jobs in Baltimore, MD

Data Engineer Relocation information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do data engineer relocation jobs pay per year?

As of Jun 25, 2026, the average yearly pay for data engineer relocation 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 are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in Baltimore, MD? For Data Engineer Relocation jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Baltimore, MD look for? The top searched job categories for Data Engineer Relocation jobs in Baltimore, MD are:
Data Engineer Relocation jobs near you
Senior Data Engineer

Senior Data Engineer

Space Telescope Science Institute

Baltimore, MD • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA's science operations center for missions including the Hubble and James Webb Space Telescopes. We are seeking a Senior Data Engineer to join our Data Management Division. We'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 world's most advanced astronomical public data archives- 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.
We're hiring a Senior Data Engineer with strong core engineering skills and a passion for building robust, scalable data platforms. You'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 you're a capable senior engineer ready to expand your expertise in modern data lake and query engine technologies, we'd love to hear from you.
Responsibilities
  • PostgreSQL/MPP Platform Performance & Operations
  • Airflow Pipelines - 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 Lakehouse
  • 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 Airflow
  • Hands-on experience with AWS cloud services
  • Strong Python programming skills and proficiency in SQL and SQL performance tuning
  • Strong experience designing, building, and optimizing data pipelines at scale

Required Qualifications
  • Bachelor's or master'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

You'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 - direct STScI contribution of 10% of your salary from your first day
12 days sick leave, up to 24 days' vacation, and 10 paid holidays
Flexible work schedule with healthy 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 - 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 at careers@stsci.edu.
#LIHYBRID
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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