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

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES • Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide authoritative expertise on data engineering methods and best practices, including code first development ...

Index Analytics

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Job Overview As a Data Engineer in this role, you will apply advanced data engineering principles to create reusable workflows that cover ingestion, quality assurance, transformation, and ...

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Viasat, Inc.

Data Engineer

Germantown, MD · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

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 ...

Corner Alliance

Analytics Data Engineer

Washington, DC · On-site +1

$120K - $144K/yr

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to provide support in making data driven decisions that improve grant program outcomes. Key ...

Corner Alliance

Analytics Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to provide support in making data driven decisions that improve grant program outcomes. Key ...

Meta

Data Engineer, Product Analytics

Washington, DC · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

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 ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

CareFirst

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premises infrastructure targeting big data and platform data management (Relational and NoSQL ...

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Showing results 21-40

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

Remote Data Engineer information

See Hanover, MD salary details

$44.3K

$129.1K

$176.6K

How much do remote data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data engineer in Hanover, MD is $129,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $136,800.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Hanover, MD? The most popular types of Data Engineer jobs in Hanover, MD are:
What are popular job titles related to Remote Data Engineer jobs in Hanover, MD? For Remote Data Engineer jobs in Hanover, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Hanover, MD look for? The top searched job categories for Remote Data Engineer jobs in Hanover, MD are:
What cities near Hanover, MD are hiring for Remote Data Engineer jobs? Cities near Hanover, MD with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Hanover, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $129,067 per year, or $62.1 per hour.

Senior Data Engineer

Node.Digital

Washington, DC • Remote

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Senior Data Engineer

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

•      Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns.

•      Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.

•      Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.

•      Migrate source data identified by SBA OIG into Azure Data Lake Storage.

•      Normalize entity attributes such as addresses, phone numbers, and other common fields.

•      Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.

•      Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.

•      Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.

•      Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.

•      Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.

•      Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.

•      Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.

•      Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.

•      Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.

Education\t

Bachelor\'s degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.

  • 5 years -\tMaintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years -\tWorking in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS

  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

Apply