Data Engineer (TS/SCI clearance)

Riverside Research is seeking a full-time Data Engineer to support the Director, Air Force Chief Data Office (SAF/CO) sponsored activities. The role involves ensuring the visibility, accessibility, understanding, sharing, and trustworthiness of data across air, space, and cyberspace domains. The Data Engineer will provide subject matter expertise, perform on multidisciplinary teams, and support data preparation, architecture, and development of agile algorithmic solutions. Additionally, the role requires expertise in data governance, data maturity models, and data analytics using mathematical and machine learning/artificial intelligence techniques. The position can be based out of the Boston MA area.

Provide expertise on all data concepts for the broader advanced analytics group, and inspire the adoption of advanced analytics, data engineering and data science across the organization.

Install continuous pipelines of large pools of filtered information so that data analyst/scientists can pull relevant data sets for their analyses.

Support Director, Air Force Chief Data Office (SAF/CO) sponsored activities across the Air Force Enterprise to ensure the visibility, accessibility, understanding, sharing, and trustworthiness of data across air, space, and cyberspace domains.

Provide subject matter expertise in and perform on multidisciplinary teams that support data preparation and architecture, development of agile algorithmic solutions, evaluate and/or execute data governance and data maturity models; and conduct data analytics using state of the art mathematical and machine learning/artificial intelligence techniques and other data analytic lines of research/effort.

Support data engineering field, at least three of which must have been in a data analytics environment preferably in DoD or the intelligence community.

Familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization.

Familiar with specialized languages relevant to the technologies employed such as Apache, Hadoop, etc.

• Top Secret clearance with SCI adjudication
• Bachelor's degree in the requisite relevant field. A Master's degree in a relevant field may be substituted for 3 years of general experience.
• 7 years or more of experience in the data engineering field, at least three of which must have been in a data analytics environment preferably in DoD or the intelligence community.
• Familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization.
• Familiar with specialized languages relevant to the technologies employed such as Apache, Hadoop, etc.

• Positive and rewarding employee experience
• Valued partner to customers
• Timely, innovative, cost-effective, and mission-focused solutions
• Equal opportunity employer
• Non-discrimination based on race, religion, sex, color, national origin, age, gender identity, sexual orientation, marital status, disability/veteran status, or any other basis protected by applicable law
• Assistance available during application or interview process
• Affirmative action for employment of qualified individuals with disabilities and protected veterans