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Data Automation Engineer

Ashburn,VA

2392 Data Automation Engineer jobs in Ashburn,VA

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Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality

Amazon Data Services

Herndon, VA

~ 16 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 6+ years of data center design, construction, operations, or facility maintenance experience
  • 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience
  • Knowledge of critical data center mechanical and electrical equipment
  • The candidate should have experience in using Physics-of-Failure based approach to develop and implement both analytical and empirical approaches for product quality/reliability risk identification and assessment during product design, manufacture as well as deployment stages.
  • The individual should be able to drive AWS application-specific requirements in carrying out both lifecycle environmental and operational stress driven risk analysis, including thermal, electrical, chemical and mechanical stresses so to identify overstress and fatigue-related product weaknesses.
  • Candidate should be capable of evaluating not only product design quality/reliability risks, but also have the skills and experiences in assessing electronics manufacture process related quality/reliability issues.
  • Knowledge of statistical techniques and models is required to analyze test as well as field data.
  • At the component level, the individual will drive critical component identification and the associated vendor selection and qualification requirements.
  • The candidate will be expected to use knowledge of process capability for electronic component production as well as system-level performance requirements to establish critical to quality and reliability metrics.
  • At the system level, the individual will develop datacenter system level reliability model and related reliability quantification and risk analysis for datacenter configuration optimization.
  • The candidate will be expected to be familiar with system reliability engineering tools, such as reliability block diagram, statistical modeling and data analytics.
  • During sustaining stage, candidate will be responsible for monitoring product performance in the field and will be responsible to drive root cause analysis of any critical failures and the associated corrective and preventive actions.
  • The individual should also be able to drive effective vendor auditing and quarterly review process to drive the continuous improvements of datacenter availability.
  • The successful candidate should be considered as an expert in the reliability engineering field and have a proven track record of success in not only product reliability leadership, as well as business negotiations and program management.
  • Strong skill-set in problem analysis and solving as well as communication and vendor management are necessary.
  • Candidates should also be able to travel within US and internationally.
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Field Risk Specialist

Datascan Technologies, LLC

Gaithersburg, MD

$43,000-$44,625/yr
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Commercial Paint Estimator

Paintworx

Herndon, VA

$85,000/yr
~ 16 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Three or more years of experience in commercial estimating, construction estimating, or a closely related role.
  • Experience reading commercial construction plans, specifications, and bid documents.
  • Working knowledge of estimating principles, labor production, materials, equipment, and project costs.
  • Ability to prepare organized, accurate, and complete estimates.
  • Strong attention to detail and the ability to manage multiple deadlines.
  • Clear written and verbal communication skills.
  • Ability to collaborate effectively with office, field, and leadership teams.
  • Willingness to attend occasional project meetings and site visits throughout the Northern Virginia, Washington, DC, and surrounding regional market.
  • Proficiency with estimating software or the ability to learn PaintWorx systems quickly.
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Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

Mc Lean, VA

New, Posted 1 day ago
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Head of Data & Analytics (Remote)

GlobalGiving Foundation

Washington, DC

RemoteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • 10-15+ years of experience in data engineering, analytics engineering, or data science roles, with at least 3 years in a senior or lead capacity
  • Proven experience operating as a one-person or founding data team — someone who has owned the full stack from raw data to executive dashboard without heavy support infrastructure
  • Deep hands-on proficiency with dbt and a modern cloud-based data warehouse solutions (Snowflake, BigQuery, or Redshift)
  • Strong SQL and Python skills, and comfort writing, reviewing, and debugging complex transformation logic, or lightweight modeling tasks
  • Demonstrated ability to interview non-technical stakeholders, extract latent data requirements, and turn them into a concrete technical roadmap
  • Experience designing or significantly refactoring a data model in a production environment
  • Excellent written and verbal communication; able to present findings and recommendations credibly to a CEO and Board
  • A passionate belief in the mission of GlobalGiving and a commitment to our core values
  • Applicants must reside in the United States
  • Applicants must be able to demonstrate that they have legal authorization to work in the United States for the duration of this permanent position
  • GlobalGiving does not sponsor employment visas
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Sales Development Representative, AI & Automation

Cellebrite

Mc Lean, VA

Bilingual Preferred
New, Posted 2 hours ago

Director, AI, Data & Google Cloud

KPMG

Washington, DC

~ 42 min OnsiteHealth InsuranceRetirement Benefit

  • A minimum of 8 years in data analytics, AI/ML, and cloud technology, including leadership roles in consulting or technology organizations.
  • Google Cloud certifications (e.g., Professional Cloud Architect, Machine Learning Engineer) or equivalent are a plus.
  • Bachelor's Degree required with an advanced degree in Computer Science, Data Science, Engineering, or related field preferred.
  • Deep knowledge and hands-on experience with Google Cloud's AI ecosystem (including Agent Builder, Contact Center AI, and Dialogflow) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations.
  • Proficient in architecting and implementing AI-powered workflow solutions using Google Cloud services (e.g., Vertex AI, Dialogflow CX), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation.
  • Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency. Experienced in conversational AI integration.
  • Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models.
  • Travel as needed
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
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Information Technology Professional (IT Support)

US Navy

Poolesville, MD

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AI Engineer - Entry to Expert Level (Maryland)

National Security Agency

Boyds, MD

Assistant General Counsel (Hybrid/Remote)

Merlin Cyber

Mc Lean, VA

Remote
  1. Ashburn,VA Jobs
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  3. Data Automation Engineer Jobs

What companies are hiring Data Automation Engineer jobs in Ashburn,VA?

  1. Amazon Data Services
  2. Datascan Technologies, LLC
  3. Paintworx
  4. Capital One
  5. GlobalGiving Foundation
  6. Cellebrite
  7. KPMG
  8. US Navy
  9. National Security Agency
  10. Merlin Cyber

What is the yearly salary range for Data Automation Engineer jobs in Ashburn,VA?

The yearly salary range is $43000 - $85000.

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