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Data Engineer (Data Analytics and AI)

Spektrum Group
Norfolk, VA
  • Expired: over a month ago. Applications are no longer accepted.
Job Description

Spektrum have a wide range of exciting opportunities in several global locations.

We are always looking to add great new talent to our team and look forward to hearing from you.

Location: Norfolk, VA, USA (On-site)Background Information:

Data science, data analytics and Artificial Intelligence (AI) are increasingly gaining momentum in NATO touching all military and political domains and functional areas. In response to HQ SACT's understanding of the disruptive potential of data science and AI, and recognizing the strategic value of data, the Data Science & Artificial Intelligence section, established in 2020 in the Federated Interoperability Branch, is focusing on data science and AI as cross-cutting and enabling capabilities for HQ SACT and the NATO Enterprise. The section provides a broad spectrum from strategy and policy development and support, to technical delivery and implementation to HQ SACT and the NATO Enterprise. In addition to serving as the centre of gravity for HQ SACT's efforts in advancing data centricity and integrating rapidly changing technology related to data exploitation, the section has developed a substantial reputation inside NATO and is regularly invited to offer policy and technical expertise.

The section has a multitude of responsibilities within ACT and the broader NATO Enterprise including:

  1. Strategy and policy development;
  2. Implementation of Data Exploitation in NATO;
  3. Developing and strengthening a NATO DS & AI community;
  4. Leading data management efforts;
  5. Trusted agent data science and artificial intelligence consulting;
  6. Support to HQ SACT directorates;
  7. Support to NATO Enterprise entities;
  8. Rapid prototyping to assist staff officers with refining requirements for capability development programs and procurement
  1. Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the
  2. Contribute to ML/AI initiatives across HQ SACT and the NATO Enterprise with a particular focus on the data engineering
  3. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, proposes how to re-design infrastructure for greater scalability.
  4. Develop, construct, test and maintain data pipelines and architectures such as databases and large-scale processing systems, within the constraints of existing but evolving processes and technologies.
  5. Transform data into formats that can be easily analyzed by developing, maintaining, and testing infrastructures for data
  6. Prepare data for prescriptive and predictive
  7. Provide subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develop proofs of concept, as directed.
  8. Work in tandem with data scientists and software
  9. Select from existing data sources and prepare data to be used by data science
  10. Improve data quality and
  11. Support evaluation of operational requirements and
  12. Interpret trends and patterns and support building of algorithms and
  13. Support educational efforts and training development related to data, AI or digital
  14. Remain up-to-date with new developments in data engineering and data architectures to bring innovative ideas into
  15. Support building a data-driven culture that uses data and analytics to generate insights, improve decision making at all levels, inform strategy and policy decisions, and improve performance.
  16. Perform additional tasks as required by the COTR related to the LABOR
  1. A Bachelor of Science degree from a recognized university in computer science, IT, software or computer engineering, data science, applied math, physics, statistics, or a related field.
  2. Experience with advanced level SQL, including query optimization, complex joins, development of stored procedures, user-defined functions and working with Analytic Functions in the last 3 years.
  3. Proficient in at least one data manipulation language such as Python, Scala, R,
  4. Ability to develop ETL processes for batch and streaming data, with proficiency in tools and technologies such as Apache Spark, Apache Airflow, Pentaho Data Integration, SQL Server Integration Service.
  5. Advanced knowledge of relational database architecture, including design of OLAP and OLTP databases is Must have experience working with at least one Data Warehouse schemas – such as Star or Snowflake.
  6. Ability to work with large datasets is
  7. A Master's degree or higher from a recognized university in computer science, IT, software or computer engineering, data science, applied math, physics, statistics, or a related field.
  8. Knowledge of NoSQL databases such as MongoDB, Cosmo DB recommended but not
  9. Ability to work in cloud environments to develop scalable data pipelines highly Skills in Cloud infrastructure and technologies such as Google Cloud Compute, AWS, Azure Data Factory, distributed computing will be highly advantageous.
  10. Working experience with geospatial data structures such as raster and vector-based data is Ability to collect and document project requirements, and to translate the requirements to technical solutions, including working in an agile environment to implement complex database projects is highly desirable.
  11. Working experience in an international environment with both military and civilian
  12. Understanding of the NATO organization and its

We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

Spektrum Group


Norfolk, VA