ZipRecruiter

Log In

2

Remote Data Engineering Jobs in Baltimore, MD (NOW HIRING)

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

Bachelor's degree in Computer Science, Information Technology, Data Engineering * 4+ years of progressive professional experience in a data engineering or backend software engineering role * Security ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

... and Engineering, and help shape how we use data to guide product decisions in a fast-paced environment. Location - We are flexible on remote working from home, if you are located in the USA and ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

... and Engineering, and help shape how we use data to guide product decisions in a fast-paced environment. Location - We are flexible on remote working from home, if you are located in the USA and ...

NinjaOne

Senior Data Engineer | Emerging Products

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

NinjaOne

Senior Data Engineer | Emerging Products

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

NinjaOne

Senior Data Engineer | Emerging Products

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

NinjaOne

Senior Data Engineer | Emerging Products

Baltimore, MD · On-site +1

$105K - $143K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

Blend360

Lead Data Engineer

Columbia, MD · On-site +1

$125K - $160K/yr

The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise health ...

SAIC

Data Architect

Aberdeen Proving Ground, MD · Remote

$120K - $160K/yr

TS/SCI Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an experienced Data ... Eight (8+) years of progressive experience in data architecture, data engineering, or a closely ...

Techizee Inc

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics. Position Description ...

Techizee Inc

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data architecture, data modeling, data governance, ETL design, data quality and BI-analytics. Position Description ...

previous pagenext page

Showing results 21-40

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Baltimore, MD

Remote Data Engineering information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do remote data engineering jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote data engineering 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 remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

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

What are popular job titles related to Remote Data Engineering jobs in Baltimore, MD?

For Remote Data Engineering jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Baltimore, MD look for?

The top searched job categories for Remote Data Engineering jobs in Baltimore, MD are:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $128,891 per year, or $62 per hour.

Cleared Hybrid Data Engineer (5418)

Hanover, MD • On-site, Remote

SMX
IT Services • 1 - 5K employees
Learn more about SMXexternal

$103K - $171K/yr

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago

Job description

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data architecture that powers our AI, analytics and reporting. Collaborate closely with Analysts, AI Engineers, and Software Engineers to transform raw, unstructured data into high-quality, accessible data pipelines. Optimizing data systems, building them from the ground up, and ensuring peak data reliability and performance. This role is essential for making data accessible, reliable, and usable across the enterprise.
Essential Duties and Responsibilities
  • Design, construct, install, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines across cloud and on-prem systems.
  • Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies. Support API strategy, data modeling, and domain-driven data structures.
  • Implement monitoring systems to ensure data integrity, quality, and security across all storage and processing layers. Implement data quality checks, validation, lineage tracking, and metadata management.
  • Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
  • Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery for greater scalability. Automate ingestion and transformation processes using industry-standard tools and patterns. Troubleshoot pipeline issues and optimize for performance and cost.
  • Work with analytics and business teams to understand their data requirements and deliver production-ready datasets. Collaborate with AI engineers and analysts to ensure datasets meet requirements.

Required Skills & Experience
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering
  • 4+ years of progressive professional experience in a data engineering or backend software engineering role
  • Security clearance required (Secret or higher)
  • Strong proficiency in Python, SQL, Java.
  • Experience with cloud data warehouses such as Snowflake and AWS Redshift.
  • Familiarity with distributed computing tools like Spark, Databricks, and Kafka.
  • 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 cloud environments. Familiarity with multi-cloud data ecosystem patterns.
  • Experience integrating structured and unstructured data sources. Knowledge of schema design, data modeling, and cloud-based storage patterns.

Desired Skills & Experience
  • Experience supporting AI/ML pipelines, vectorization, or embedding generation
  • Experience with data governance, access controls, or sensitive data protection
  • Exposure to DevOps/CI-CD patterns for data workflows
  • MuleSoft implementation experience
  • Experience with real-time data streaming and event-driven architectures

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$103,000-$171,800 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
SMX logo

About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US

View All SMX Jobs

Apply