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Remote Azure Data Engineer Jobs in Washington (NOW HIRING)

Experience with Azure Data Factory, AWS Glue, or similar data integration platforms. * Experience ... Exposure to DevOps/CI-CD patterns for data workflows * MuleSoft implementation experience

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

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Databricks Certified Data Engineer

Washington, DC · Remote

$117K - $140K/yr

AWS, Microsoft Azure, or Google Cloud Platform (GCP) . * Experience implementing CI/CD and DevOps ... Work Environment This position is primarily remote , with limited onsite support required based on ...

New

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Applied experience with Databricks and/or Azure ML * Strong coding abilities in one or more ...

Work Schedule: 4 days onsite, 1 day remote Clearance Required: Active Secret Clearance Key ... Azure Cloud Engineers * DevOps Engineers * Data Engineers * Software Developers * Data Analysts

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS

Work Schedule: 4 days onsite, 1 day remote Clearance Required: Active Secret Clearance Key ... Azure Cloud Engineers * DevOps Engineers * Data Engineers * Software Developers * Data Analysts

Work Schedule: 4 days onsite, 1 day remote Clearance Required: Active Secret Clearance Key ... Azure Cloud Engineers * DevOps Engineers * Data Engineers * Software Developers * Data Analysts

Lead Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Work with Azure cloud and Databricks • Develop technical architectures and specific ...

Showing results 41-60

Remote Azure Data Engineer information

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are popular job titles related to Remote Azure Data Engineer jobs in Washington?

For Remote Azure Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Engineer jobs in Washington look for?

The top searched job categories for Remote Azure Data Engineer jobs in Washington are:

What cities in Washington are hiring for Remote Azure Data Engineer jobs?

Cities in Washington with the most Remote Azure Data Engineer job openings:

Infographic showing various Remote Azure Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Cleared Hybrid Data Engineer (5418)

SMX

Hanover, MD • On-site, Remote

$103K - $171K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday


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