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Accenture

Advises businesses and runs their technology

Senior Data Scientist

Data EngineeringConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA$94k - $178.7kIn-person

About the Job

Requirements

  • U.S. citizenship and an active TS/SCI CIP clearance are required.
  • At least 8 years of experience are required.
  • Knowledge of data engineering, database development, or related areas is required.
  • Strong experience with relational databases, SQL, and large-scale data design is required.
  • Hands-on experience building data pipelines for structured and semi-structured data is required.
  • Familiarity with analytics, visualization technologies, and high-performance or distributed computing is required.
  • Experience integrating new systems with enterprise data warehouses is required.
  • Understanding of secure data practices and zero-trust principles is required.
  • Strong communication and problem-solving skills are required.

Responsibilities

  • Build and maintain data pipelines that support visual analytics applications and high-performance data processing.
  • Transform structured and semi-structured data into usable, actionable information.
  • Design and construct large enterprise relational databases and ensure they perform efficiently.
  • Integrate new data systems with existing data warehouses and refine system performance.
  • Use open-source, commercial off-the-shelf, and government off-the-shelf technologies to support analytics and data workflows.
  • Develop strategies, standards, and best practices for database operations, programming, and security.
  • Collaborate with teams to analyze data needs and enhance overall data quality and usability.

Desired Qualifications

  • Experience with government or multi-enclave data environments.
  • Background with data visualization platforms or visual analytics applications.
  • Experience with cloud data platforms or hybrid architectures.
  • A degree in Data Engineering, Computer Science, or a related field.
  • Experience with an in-house custom-developed application with end-user and ETL user interfaces.
  • Kubernetes.
  • Terraform.
  • GitLab CI/CD.
  • JFrog Artifactory.
  • AWS cloud services.
  • Angular.
  • .NET C#.
  • MySQL.
  • Elasticsearch or OpenSearch.
  • Integration of reasoning components, retrieval systems, databases, and AI or generative AI services.
  • ETL.
  • Python.
  • RabbitMQ.
  • Celery.
  • Redis or Valkey.
  • PostgreSQL and Microsoft SQL.
  • Complex data parsing and streamlined ingestion.
  • Provenance and end-to-end data lineage tracking.
  • Schema-aligned ingestion and normalization of diverse structured and unstructured data.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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