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Remote Data Engineer Secret Clearance Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

$117K - $140K/yr

... Secret clearance or above • Experience working with federal clients • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

Accenture Federal Services

Data Engineer

$117K - $140K/yr

... Secret clearance or above • Experience working with federal clients • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122K - $147K/yr

Clearance : * Must be a US Citizen with a current DoD Secret Clearance. * Certification : * Must ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122K - $147K/yr

Clearance : * Must be a US Citizen with a current DoD Secret Clearance. * Certification : * Must ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Top Secret clearance * Bachelor's degree in Computer Science, Data Science, or Engineering Nice If ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

OM Group Inc.

Data Engineer

$130K - $160K/yr

Data Engineer OM Group, Inc. is hiring a Data Engineer / Senior ETL (Extract, Transform, Load ... This is a full time, remote position requiring a current, active Secret Security Clearance.

DEEPREC.AI

AI Data Engineer

$170K - $180K/yr

S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection. This is a remote Data Engineering role focused on building and ...

VMD Corp

DevOps Engineer - Secret (Remote)

Mclean, VA · Remote

$53.25 - $73/hr

... Engineer, you will play a pivotal role in automating, optimizing, and securing the delivery ... Location: McLean, VA (Remote) Clearance: Active Secret Responsibilities * Facilitates the ...

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All JobsRemote Data Engineer Secret Clearance Jobs

Remote Data Engineer Secret Clearance information

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$44.5K

$129.7K

$177.5K

How much do remote data engineer secret clearance jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote data engineer secret clearance in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a Remote Data Engineer with Secret Clearance?

A Remote Data Engineer with Secret Clearance is a professional who designs, builds, and maintains data systems and infrastructure, often for government or defense-related projects, while working remotely. The 'Secret Clearance' refers to a specific level of security clearance required by the U.S. government, ensuring the individual is trusted to handle sensitive information. These engineers typically work with large datasets, develop data pipelines, and implement data security measures, all while adhering to strict confidentiality protocols. Their remote role allows them to support secure data operations from offsite locations, provided they follow all security policies and are cleared for remote access.

How does holding a Secret Clearance impact the day-to-day responsibilities of a Remote Data Engineer?

As a Remote Data Engineer with Secret Clearance, your daily responsibilities will often include working with sensitive or classified datasets, requiring strict adherence to security protocols and data handling procedures. You'll typically collaborate with cross-functional teams, including security officers and project managers, to ensure compliance with government regulations. Remote work arrangements may also involve using secure virtual environments and specialized communication tools to protect classified information. This role demands a strong attention to detail and an understanding of both technical and security-related requirements, making effective communication and documentation essential for success.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer with Secret Clearance, and why are they important?

To thrive as a Remote Data Engineer with Secret Clearance, you need advanced knowledge of data architecture, programming (such as Python or SQL), and a relevant degree, along with an active DoD Secret Clearance. Familiarity with cloud platforms (AWS, Azure), ETL tools, and secure data handling systems is typically required. Strong problem-solving, attention to detail, and effective communication are crucial soft skills, especially when collaborating remotely. These competencies ensure secure, reliable data solutions and compliance with government security standards in distributed environments.

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

AspectRemote Data Engineer Secret ClearanceRemote Data Analyst Secret Clearance
Required CredentialsData engineering certifications, security clearanceData analysis certifications, security clearance
Work EnvironmentTechnical teams, cloud platforms, data pipelinesBusiness teams, reporting tools, data visualization
Employer & Industry UsageGovernment agencies, defense contractors, tech firmsGovernment, defense, corporate sectors
Common Search & ComparisonYesYes

The main difference between Remote Data Engineer Secret Clearance and Remote Data Analyst Secret Clearance lies in their roles and focus. Data engineers build and maintain data infrastructure, requiring technical skills and security clearance. Data analysts interpret data and generate reports, also often needing security clearance but with a focus on analysis tools. Both roles are vital in secure government and defense sectors, but they serve different functions within data management.

Infographic showing various Remote Data Engineer Secret Clearance job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Accenture Federal Services

Remote

$117K - $140K/yr

Full-time

Posted 10 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 425 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and public welfare. The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.
Responsibilities:
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Qualifications:
Required:
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
• Experience with Python, SQL, Spark, and PySpark
• Experience with data platforms like Databricks, Palantir, and Snowflake
• Familiarity with data orchestration and data quality processes
• Must be a US Citizen
Preferred:
• Secret clearance or above
• Experience working with federal clients
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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