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Data Engineer Professional Services

Burke,VA

844 Data Engineer Professional Services jobs in Burke,VA

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Delivery Consultant- Data, WWPS ProServe Data and Machine Learning

Amazon

Arlington, VA 22201

~ 29 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
  • Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code
  • Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning
  • Current, active US Government Security Clearance of Top Secret or above
  • This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.
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Data Center Controls Engineer, Data Center Capacity Delivery - Controls, DCC Communities

Amazon Data Services

Manassas, VA 20110

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Data Engineer (Expert)

BAE Systems

Herndon, VA 20170

~ 31 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Minimum of 11 years' experience
  • Information Technology or Engineer Bachelor's or Master's Degrees are preferred
  • Experience integrating diverse data streams
  • Experience with data transfer tools (Ex: NiFi, Cribl, etc)
  • Establishes data standards and acts as custodian of IT and service delivery data sets and streams
  • Experience in analyzing complex networks and systems
  • Experience in analyzing log data from various network components and operating systems
  • Knowledge of complex environments involving shared networks and multiple security enclaves
  • Systems Engineer with Data Engineer background
  • Ability to manage and troubleshoot data feeds
  • Splunk familiarization
  • Python
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New, Posted 5 hours ago
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Controls Engineer, Deployment, Data Center Capacity Delivery

Amazon Data Services

Herndon, VA 20171

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Data Engineer

BOOZ, ALLEN & HAMILTON

Arlington, VA 22204

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 2+ years of experience utilizing programming languages, including C++, Java, or Python
  • 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
  • 1+ years of experience with source control and collaboration software, including Git or Atlassian tools
  • Experience with developing scalable ETL and ELT workflows for reporting and analytics
  • Knowledge of relational and non-relational database technologies, including SQL or GraphQL
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
  • Ability to work in a controlled facility, such as a SIPR space
  • Secret clearance
  • Bachelor's degree
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NCIS Data Engineer | Active Secret clearance

General Dynamics Information Technology

Quantico, VA 22134

Hybrid~ 33 minHealth InsurancePaid Time OffRetirement Benefit

  • Secret
  • Top Secret/SCI
  • US Citizenship Required: Yes
  • Experience: 10 + years of related experience
  • Database Integration, Data Management, ETL Pipelines, ETL Processing
  • Security Clearance Level: Active Secret clearance. {Must be able to successfully obtain a TS/SCI post hire.}
  • Required Experience: Minimum 10 years or more of work experience in Data Management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks.
  • Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, Java, and Scala.
  • Strong experience with popular database programming languages including SQL and PL/SQL for relational databases.
  • Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. Including: o ETL/ELT o Data Replication/CDC o Message-oriented data movement o API design and access o Upcoming data integration technologies such as [stream data integration, CEP and data virtualization.
  • Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helps to move them in production.
  • Demonstrated success in working with large, heterogeneous datasets to extract business value using popular data preparation tools such as Databricks, Trifacta, Paxata, and Unifi to reduce or even automate parts of the tedious data preparation tasks.
  • Basic experience in working with data governance, data quality, and data security teams, data stewards, and privacy and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
  • Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid environments, multiple operating systems and through containerization techniques such as Docker, Kubernetes, and AWS Elastic Container Service.
  • Deep law enforcement (LE) information domain knowledge or previous experience working in LE, DoW and/or DON a plus
  • Required Certifications: CompTIA Security+ CE required; AWS Certified Data Engineer - Associate Data Engineer Associate Cert desired.
  • Education: Bachelor's Degree in a technical discipline discipline; an additional 4 years of experience may be considered in lieu of degree
  • Work Location: Hybrid: 3 days onsite in Quantico VA; 2 days remote.
  • US Citizenship Required.
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Lead Specialist, Federal Data Engineer

KPMG

Washington, DC 20011

~ 29 min OnsiteHealth InsuranceRetirement Benefit

  • A minimum of five years of experience with programming languages (Python, Scala preferred) with the ability to pick up new languages and technologies quickly
  • Bachelor's degree from an accredited college/university
  • Ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level (e.g., automated) data and analytics solutions
  • Understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk, etc.)
  • Experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes)
  • Ability to travel as required to support firm engagements
  • Applicant must possess or be eligible for a U.S. Government clearance
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New, Posted 3 hours ago
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Digital Pathology Field Service Engineer

TD Synnex

Washington, DC 20022

Flexible Schedule
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Systems Engineer - Data Requirement Focus

BAE Systems

Rockville, MD 20850

~ 40 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in an Engineering field (Aerospace, Electrical, or Systems Engineering referred) and 4 years professional work experience OR Master's degree in Engineering and 2 years professional work experience
  • Ability to lead and drive documentation changes to completion
  • Ability to public speak and present confidentally to customer and large groups of stakeholders, both virtually and in-person (This is vital to perform this role successfully)
  • Strong analytical and technical problem-solving skills, and takes initiative
  • Excelent oral, written, and interpersonal communication skills to interact with various teams internally
  • Strong understanding of engineering principles
  • Capable to adeptly research and understand SWS interface data requirements using SSP documentation available to BAE Systems
  • Innovative & Determined mindset
  • Proficiency in Microsoft Office tools
  • Ability to obtain a clearance
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Data Engineer

BOOZ, ALLEN & HAMILTON

Washington, DC 20011

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 4+ years of experience with major data science languages such as Python and R
  • 4+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, or SQL
  • Experience with Large Language Models (LLMs) and Generative AI (GenAI)
  • Experience preparing data for use with AI or GenAI models
  • Experience with data analytics, data mining, statistical analysis, or AI and ML
  • TS/SCI clearance with a polygraph
  • Bachelor's degree and 8+ years of experience in data engineering, or 12+ years of experience in data engineering in lieu of a degree
  • Clearance: TS/SCI clearance with polygraph is required
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