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

Senior Manager, Data Engineering - Remote Towson, MD USA Come make the world and accelerate your success. It takes great people to achieve greatness. People with a sense of purpose and integrity.

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Bachelor's degree in computer science, engineering, statistics, or related field. * 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role. * Strong proficiency in ...

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... The ideal candidate brings strong data engineering fundamentals, hands-on experience delivering ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243265 Location: Belcamp,MD,US Share job via: Share Additional Locations: * Aberdeen Proving Ground, Maryland, USA Data Engineer The Opportunity: Ever-expanding ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241931 Location: Belcamp,MD,US Share job via: Share Additional Locations: * Aberdeen Proving Ground, Maryland, USA Data Engineer The Opportunity: Ever-expanding ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

Drive engineering best practices include testing, observability, modular modeling, and ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Apply data engineering principles to develop reusable workflows for data ingestion, quality, transformation, and optimization * Set up and maintain effective data compliance policies * Build scalable ...

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices ...

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's degree in computer science, engineering, statistics, or related field. * 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role. * Strong proficiency in ...

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's degree in computer science, engineering, statistics, or related field. * 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role. * Strong proficiency in ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Strong knowledge of healthcare data, analytics, and data engineering best practices. * Experience ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Strong knowledge of healthcare data, analytics, and data engineering best practices. * Experience ...

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Showing results 1-20

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 Aug 24, 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:

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.

Data Engineering Manager (Remote)

CareFirst

Baltimore, MD • Remote

Full-time

Retirement

Re-posted 15 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

240th of 311 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
We are seeking a Manager, Data Engineering to lead a team responsible for delivering and supporting critical data platforms and solutions that enable CareFirst's HEDIS, Stars, Quality Measurement, and Risk Adjustment programs. This role will partner closely with business and technology stakeholders to ensure trusted, scalable, and timely data capabilities that support quality improvement initiatives, regulatory reporting, member outcome measurement, and accurate risk capture across the enterprise.

In addition to people leadership responsibilities, the Manager, Data Engineering will provide technical leadership for the design, development, and operation of modern data engineering solutions, including data pipelines, integrations, cloud-based platforms, data transformation processes, and enterprise data products. This role will be responsible for ensuring the reliability, scalability, security, and performance of critical healthcare data assets while driving modernization efforts, engineering best practices, platform stability, automation, and operational excellence across a complex data ecosystem. 

ESSENTIAL FUNCTIONS:

  • Manage the design of robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data. Drives technical delivery and works with team on strategy and execution.
  • Oversees the development of data delivery services to support critical operational processes, analytical models, and machine learning applications. Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality, and lineage.
  • Develops a data culture and finds innovative approaches to train the data team. Work collaboratively with other technology teams, data scientists, analytics teams, and business product owners in an agile environment. Manage the selection and integration of data related tools, frameworks, and applications required to expand our platform capabilities.
  • Manages the maintenance of automated processes with a special focus on data flow and error recovery. Provides support during technical project life cycle and ensures targets are achieved in a timely manner. Stays up to date on data industry innovations and trends.

SUPERVISORY RESPONSIBILITY:
This position manages people.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 5 years Related professional experience. 1 year Supervisory or demonstrated progressive leadership experience.
Knowledge, Skills and Abilities (KSAs)

  • Ability to lead and develop high-performing data engineering teams while aligning technology strategy to business objectives and regulatory requirements.
  • Knowledge of modern data engineering architectures, including cloud-native platforms, data lakes, lakehouses, real-time processing, and enterprise data products. (Azure, Snowflake, IDMC, Fabric).
  • Knowledge of healthcare data domains, including claims, enrollment, provider, clinical, and quality measurement data used in HEDIS, Stars, and Risk Adjustment programs, including experience with HEDIS engines.
  • Knowledge of CMS regulatory reporting and data submission processes, including Risk Adjustment, EDGE Server submissions, RADV audits, and related healthcare regulatory requirements.
  • Ability to design, implement, and support scalable data pipelines, ingestion frameworks, and data integration solutions supporting enterprise analytics and operational workloads.
  • Knowledge of Agile delivery methodologies, DevOps practices, CI/CD pipelines, and infrastructure automation principles.
  • Knowledge of enterprise data governance, metadata management, lineage, and data quality control practices.
  • Proficient in programming and scripting languages used for data engineering, including Python, SQL, and other automation technologies.
  • Skill in communication, including executive presentations, stakeholder updates, and technical documentation.
  • Knowledge of budget planning, resource management, vendor oversight, and technology investment prioritization.
  • Ability to evaluate emerging technologies and establish technical roadmaps that support long-term scalability, data democratization, and analytics maturity objectives.
  • Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

Salary Range: 136,720 - 253,787

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Department

Data Engineering

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer.  It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Federal Disc/Physical Demand

Note:  The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS:

The associate is primarily seated while performing the duties of the position.  Occasional walking or standing is required.  The hands are regularly used to write, type, key and handle or feel small controls and objects.  The associate must frequently talk and hear.  Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship

#LI-ZW1 


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