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Remote Data Engineer Jobs in Aberdeen, MD (NOW HIRING)

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures. * Collect, analyze, and interpret data to ...

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures. * Collect, analyze, and interpret data to ...

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures. * Collect, analyze, and interpret data to ...

... and software engineering. Identifies patterns and looks for opportunities for optimization ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0238506 Location: Edgewood,MD,US Share job via: Share Data Scientist ... programming languages for data analysis * 2+ years of experience with developing, updating ...

Showing results 21-40

Remote Data Engineer information

See Aberdeen, MD salary details

$47.9K

$139.5K

$190.9K

How much do remote data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote data engineer in Aberdeen, MD is $139,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,100.00 and $147,900.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What job categories do people searching Remote Data Engineer jobs in Aberdeen, MD look for?

The top searched job categories for Remote Data Engineer jobs in Aberdeen, MD are:

What cities near Aberdeen, MD are hiring for Remote Data Engineer jobs?

Cities near Aberdeen, MD with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Aberdeen, MD as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $139,490 per year, or $67.1 per hour.

Senior Data Analyst (Remote)

CareFirst

Baltimore, MD • Remote

$85K - $107K/yr

Full-time

Retirement

Posted 20 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

242nd of 315 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
The purpose of a Sr. Data Analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions.  

ESSENTIAL FUNCTIONS:

  • Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures.
  • Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.
  • Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.
  • Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.
  • Lead in the design, development, validation and delivery of data to provide insight into business decisions.
  • Manage the collection of business and technical requirements from Stakeholders to deliver data driven solutions. Produces technical documentation that is consistent with professional standards.
  • Be a resource and mentor to junior level staff.

SUPERVISORY RESPONSIBILITY:
Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business 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' experience in an analytical/quantitative role.
Preferred Qualifications:

  • Experience in Healthcare Industry
  • Masters degree in a quantitative field preferred (e.g., Business Analytics, Statistics, Data Science)

Advanced proficiency in:

  • SQL for data extraction, transformation, and complex joins
  • Power BI (building paginated and interactive dashboards using Power BI Report Builder and Desktop)
  • Microsoft Fabric (dataflows, lakehouses, semantic models)
  • Intermediate-to-advanced Python skills (pandas, numpy, matplotlib/seaborn) for data wrangling and analysis
  • Experience conducting diagnostic and exploratory data analysis (EDA) to identify trends and root causes
  • Ability to apply analytical techniques such as segmentation, regression, time-series analysis
  • Strong skills in stakeholder communication and translating analysis into business insights

Enterprise Healthcare Analytics:

  • Healthcare claims, enrollment, provider, utilization, cost and trend analysis
  • Population health, care management, risk adjustment, or operational performance reporting
  • Identifying opportunities to improve member outcomes, affordability, and operational efficiency

Legal & Compliance Analytics:

  • Regulatory reporting, compliance monitoring, audit support, or healthcare policy analysis
  • Working with legal, compliance, privacy, risk, or regulatory affairs teams
  • Analyzing healthcare data to support regulatory mandates, investigations, audits, corrective action plans, or compliance reporting obligations
  • Familiarity with CMS, state regulatory requirements, accreditation standards, healthcare regulations, or corporate compliance programs

Medicare Advantage STARS Analytics:

  • Medicare Advantage, CMS STAR Ratings, HEDIS, CAHPS, HOS, pharmacy quality measures, or quality improvement programs
  • Measuring and monitoring quality performance, member outcomes, and operational drivers impacting STAR Ratings
  • Developing dashboards, scorecards, and predictive analyses to identify performance improvement opportunities

Knowledge, Skills and Abilities (KSAs)

  • Quantitative ,analytical  and problem solving skills.
  • Knowledge and understanding of analytical tools , languages ,applications, platforms.
  • Excellent communication skills both written and verbal.
  • Ability to learn quickly and take direction.
  • 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: 87,264 - 173,316

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).

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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