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Apache Atlas Jobs (NOW HIRING)

Experience with data catalog or metadata management platforms (Collibra, Apache Atlas, Alation, or equivalent) * Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

Experience implementing metadata catalogs and data lineage tools (Collibra, Apache Atlas, Alation, Informatica, or equivalent) * Familiarity with zero-trust architecture principles * Knowledge of ...

... Apache Atlas, Amundsen). b. Tasks Writing transformation expressions or functions, tests to ensure edge cases are handled correctly by the transformation, and documentation to explain how and why the ...

... Apache Atlas, Amundsen). b. Tasks Writing transformation expressions or functions, tests to ensure edge cases are handled correctly by the transformation, and documentation to explain how and why the ...

Maintains data catalog entries, verifies metadata completeness, updates lineage information, and validates role-based access controls using platforms such as Collibra, Apache Atlas, and Databricks ...

Data Engineer, Platform

New York, NY · On-site

$125K - $150K/yr

Experience with data lineage tools (Apache Atlas, DataHub, Monte Carlo) and metadata management. * Knowledge of vector databases and embedding pipelines for modern AI applications. * Contributions to ...

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Apache Atlas information

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How much do apache atlas jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for apache atlas in the United States is $23.86, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Apache Atlas vs Data Engineer?

AspectApache AtlasData Engineer
Primary RoleData governance and metadata managementDesigning, building, and maintaining data pipelines
Required SkillsMetadata management, data governance tools, basic SQLSQL, ETL tools, programming languages like Python or Java
Work EnvironmentData governance teams, data platforms, cloud environmentsData warehouses, cloud platforms, big data ecosystems
CertificationsTypically none specific, familiarity with data governance toolsCertifications like AWS, Google Cloud, or Hadoop are common

Apache Atlas focuses on data governance and metadata management, ensuring data compliance and lineage. Data Engineers build and optimize data pipelines for analytics and machine learning. While they collaborate, their core responsibilities differ significantly, with Atlas emphasizing data cataloging and Data Engineers focusing on data processing and integration.

What is Apache Atlas and what is it used for?

Apache Atlas is an open-source data governance and metadata management platform designed for managing the data ecosystem in enterprises. It helps organizations catalog, classify, and govern their data assets, providing features like data lineage, metadata management, and data discovery. Apache Atlas is widely used in big data environments, especially alongside Hadoop and other data processing frameworks, to ensure data compliance and improve data visibility across the organization. It enables organizations to track data flow, set policies, and ensure regulatory compliance effectively.

What are the key skills and qualifications needed to thrive as an Apache Atlas Administrator, and why are they important?

To thrive as an Apache Atlas Administrator, you need strong knowledge of data governance, metadata management, and proficiency in Apache Atlas architecture, typically supported by experience in big data environments and a relevant technical degree. Familiarity with tools like Hadoop, Hive, Kafka, REST APIs, and understanding of security protocols and Atlas-specific certifications are highly valuable. Excellent problem-solving, attention to detail, and communication skills help in collaborating with data teams and resolving metadata issues. These combined skills ensure robust metadata management, regulatory compliance, and effective data lineage tracking within complex data ecosystems.

What are some common challenges faced by professionals working with Apache Atlas, and how can they be addressed?

Professionals working with Apache Atlas often encounter challenges around integrating Atlas with diverse data sources and ensuring consistent metadata governance across complex data landscapes. Keeping up with evolving security requirements and managing role-based access controls can also be demanding. To address these challenges, it is helpful to collaborate closely with data engineering and security teams, leverage Atlas’s extensible APIs, and stay updated with community best practices and documentation. Regular training and participation in open-source forums can further help in overcoming integration and governance hurdles.
Infographic showing various Apache Atlas job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 85% Physical, 8% Hybrid, and 7% Remote job distribution, with an average salary of $49,629 per year, or $23.9 per hour.

Technical Analyst

Imagineeer LLC

Arlington, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role:
Imagineeer is seeking a Technical Analyst to support enterprise data modernization, systems integration, and compliance validation activities within federal healthcare and defense environments.
This role bridges technical engineering teams and operational stakeholders. You will analyze system configurations, validate compliance controls, support integration testing, and confirm that solutions meet both functional and regulatory requirements. You will operate in regulated IL4/IL5 cloud environments on initiatives subject to RMF accreditation, cybersecurity oversight, and federal audit requirements.
Key Responsibilities:
Systems Analysis and Integration
  1. Analyze system architectures and technical configurations to confirm alignment with mission and compliance requirements
  2. Validate system integration across enterprise platforms including MHS GENESIS, TRICARE, and United States Transportation Command
  3. Analyze APIs, data flows, and system interdependencies to identify integration gaps and risks
  4. Conduct technical impact analyses for system changes and enhancements
  5. Support requirements traceability from business documentation through technical implementation

Compliance Validation and Testing
  1. Support implementation and validation of NIST SP 800-53 security controls, RMF artifacts, and FedRAMP baseline requirements
  2. Perform data validation, quality assessments, and metadata reviews
  3. Support testing activities including System Integration Testing (SIT), User Acceptance Testing (UAT), and security validation testing
  4. Analyze log data and monitoring outputs to validate auditability and compliance posture
  5. Assist in configuration management and change control processes

Documentation and Coordination
  1. Develop technical documentation including system diagrams, Interface Control Documents (ICDs), and configuration guides
  2. Communicate technical findings to non-technical stakeholders in plain, operationally relevant language
  3. Participate in Agile ceremonies and coordinate with DevSecOps teams across sprint cycles
  4. Maintain documentation supporting audit readiness and ATO compliance reviews

Qualifications and Skills:
  1. 5 to 10 years of experience as a Technical Analyst, Systems Analyst, or similar role within DoD or federal environments
  2. Experience supporting enterprise IT or data modernization initiatives
  3. Strong understanding of federal cybersecurity frameworks (NIST 800-series, RMF)
  4. Experience supporting IL4/IL5 cloud-hosted environments (AWS GovCloud, Azure Government, or equivalent)
  5. Experience analyzing APIs, data flows, and system integrations
  6. Familiarity with SQL and basic scripting (Python or similar)
  7. Experience reviewing system logs and audit artifacts
  8. Strong documentation and technical writing skills
  9. Must be able to obtain a Public Trust clearance

Desired Skills and Competencies:
  1. Experience supporting Military Health System modernization initiatives
  2. Familiarity with zero-trust architecture and ICAM integration
  3. Experience working with lakehouse or enterprise data platforms
  4. Knowledge of data governance and records management standards (FRA/NARA)
  5. Experience supporting DevSecOps CI/CD pipelines
  6. Understanding of AI/ML system operationalization and governance controls
  7. Experience with data catalog or metadata management platforms (Collibra, Apache Atlas, Alation, or equivalent)
  8. Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, or equivalent)
  9. Current cloud or systems certifications (AWS, Azure, ITIL, or equivalent)
  10. Active DoD clearance

Equal Opportunity Employer:
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.
About Us
Our Approach
We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.
We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.