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Data Analytics Engineering

Fairfax,VA

1762 Data Analytics Engineering jobs in Fairfax,VA

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Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality

Amazon Data Services

Herndon, VA 20171

~ 21 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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GCP Cloud Analytics Engineer

Deloitte

Mc Lean, VA 22102

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Manager, Oracle Data & Analytics

KPMG

Washington, DC 20004

Onsite

  • Minimum five years of recent experience with Fusion Data Intelligence (FDI) across one or more of Finance, Supply Chain, and Human Capital Management subject areas
  • Experience with Oracle AI Data Platform (AIDP), and Oracle Autonomous Data Lakehouse (ADL) is preferred
  • MBA or MIS from an accredited college or university is preferred
  • Minimum of a Bachelor's degree is required
  • Project management skills to address tasks, deliverables, issues, risks and management of onshore analysts and offshore development team
  • Understanding or implementation experience of Oracle SaaS modules and general business processes across either ERP, HCM, or SCM a plus
  • Excellent communication skills to lead and facilitate Analytic requirements and strategy meetings with a proven track record of leading successful Oracle Fusion Data Intelligence implementations from concept to completion
  • Able to work independently and as part of a team in a fast-paced consulting environment
  • Ability to travel as needed
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
  • KPMG will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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Data Scientist

BOOZ, ALLEN & HAMILTON

Alexandria, VA 22304

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 6+ years of experience with data science, statistical analysis, or quantitative research
  • 6+ years of experience with the development of algorithms, leveraging R or Python in data analysis libraries, including pandas, NumPy, scikit-learn, or Tidyverse
  • 6+ years of experience analyzing structured and unstructured data sources
  • Experience with statistics, including hypothesis testing, regression analysis, experimental design, and uncertainty quantification
  • Experience with data management in SQL, including managing large-scale data across multiple databases and data warehouses
  • Experience working with large-scale datasets and distributed computing frameworks, including Spark or DASK
  • TS/SCI clearance
  • Bachelor's degree
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New, Posted 2 hours ago
Senior Data & AI Analyst, Finance Systems

AeroVironment

Arlington, VA 22212

ZipRecruiter
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

Mc Lean, VA 22101

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Analyst II, Customer Insights & Analytics

Dollar Tree

Washington, DC 20011

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelors Degree (BA / BS/ BFA) or equivalent, and 1-3 years experience.
  • Must have hands-on data mining experience using at least one of the following platforms: Nielsen, Circana, Numerator, or 1010data.
  • Applicants must be authorized to work in the United States on a full-time basis.
  • The company is unable to sponsor employment visas for this position at this time or in the future.
  • Must be willing to relocate to Chesapeake, VA
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New, Posted 18 hours ago
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Head of Data & Analytics (Remote)

GlobalGiving Foundation

Washington, DC 20001

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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AI Engineer - Entry to Expert Level (Maryland)

National Security Agency

Vienna, VA 22182

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Consultant Engineer I

FM

Reston, VA 20191

RemoteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering or fire protection
  • Valid driver's license
  • Physical ability to climb commercial ladders (ex. inspect roofs), lift >25 lbs., and some clients require working in confined spaces.
  • Proven technical capability including diverse knowledge of engineering principles
  • Proficient in MS Office products
  • You will be expected to work independently and should be willing to operate from your home office and travel to client sites on a regular basis.
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