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

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL ... developers, data engineers, and business analysts to support application and reporting needs ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... DevOps tools / modern cloud stack and practices Physical Requirements * Onsite or remote: 60 ...

Anika Systems

AI Engineer

Leesburg, VA · Remote

Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation ... This position is currently remote; however, in accordance with federal contract requirements and ...

Workiva

Spring 2027 Intern - Data Analytics

Frederick, MD · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Middletown, MD

Remote Data Engineer information

See Middletown, MD salary details

$44K

$128.3K

$175.5K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineer in Middletown, MD is $128,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 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.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Middletown, MD?

The most popular types of Data Engineer jobs in Middletown, MD are:

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Middletown, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,260 per year, or $61.7 per hour.

Jr. Data Engineer

Leesburg, VA • Remote

Kalani Consulting, Inc.
See more jobs at Kalani Consulting, Inc.external

Full-time

Re-posted 26 days ago

Job description

JUNIOR DATA ENGINEER

REMOTE


Overview


Kalani Consulting, Inc. is a multi-award-winning small business based in Northern Virginia, proudly supporting federal government clients through expert Information Technology and Management Consulting services. We’re an employee-focused company that values hard work, integrity, and excellence—offering competitive benefits, meaningful opportunities, and a culture rooted in The Aloha Spirit.


Responsibilities

  • Engineer, build and maintain scalable automated data pipelines.
  • Build cloud data solutions and provide domain perspective on storage, big data platform services, serverless architecture, RDBMS, DW/DM, NoSQL databases and security.
  • Deploy, automate, maintain, and manage cloud-based production system, to ensure the availability, performance, scalability, and security of productions systems.
  • Implement best practices in management of data, including master data, reference data, metadata, data quality and lineage.
  • Support regular and ad-hoc data querying and analysis to understand customer behaviors.

Qualifications

  • BA or BS degree in CS, Information Systems, or related field.
  • Experience developing and deploying ETL pipelines using Apache Spark and/or Databricks.
  • Experience in SQL and/or Spark SQL.
  • Familiarity with Informatica a plus.
  • Knowledge of dimensional models in data warehouses.
  • Experience working on loading data to the Star Schema.

Preferred Qualification

  • Knowledge of and experience with automated testing.
  • Knowledge and experience of deployment of Spark Notebooks.

Clearance Requirement

Must be US Citizen with the ability to obtain and maintain a US Public Trust Suitability.


Kalani Consulting, Inc. is an equal opportunity employer that values the strength diversity brings to the workplace.  All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.