Data Engineer - Tewksbury, MA

Leidos’ Security Enterprise Solutions (SES) operation is seeking a motivated and talented Data Engineer to join our multidisciplinary, highly energized, and expert data science team. Leidos is a leading innovator in deploying AI solutions, and we are dedicated to pushing the boundaries of technology and data-driven insights.  We are on a mission to harness the power of data to drive our business forward and make impactful decisions.  Join our dynamic team and be part of shaping the future and make global impact in airport security detection, including the ProVision scanner found in airports around the world.

We are seeking a passionate and detail-oriented Data Engineer to take full ownership of our data collection processes.  The ideal candidate will be responsible for ensuring the quality, accuracy, and integrity of the data that our Data Science teams rely on.  As a “Data Champion”, you will play a pivotal role in driving our data initiatives and ensuring our data is fit for purpose.

Primary Responsibilities:

• Design, implement, and manage data collection strategies and methodologies to ensure high-quality data acquisition and data labeling
• Collaborate closely with cross-functional teams, including data scientists, algorithm engineers, and image scientists, to understand data requirements and execute data collections on our equipment that meets their need
• Ensure the accuracy, completeness, and consistency of collected data files and data labels by performing regular data quality checks and audits
• Develop and maintain documentation for data collection processes and standards
• Train and support technician team members on best practices for data collection, labeling, and usage
• Work with subject matter experts within the team to identify data gaps and recommend solutions to address them
• Maintain inventory of simulants, detection targets, and clutter objects, and work hands-on with these materials to execute data collections
• Stay current with industry trends and advancements in data collection techniques and tools.

Desired Qualifications:

• Bachelor’s degree and 2+ years experience, preferably in a technical field. May consider additional years of experience in lieu of a degree.
• Must have the ability to obtain a Public Trust clearance (US citizenship required)
• Proven experience in data collection, data management, or similar role
• Strong understanding of data collection methodologies and best practices
• Proficiency with data collection tools and technologies (e.g., SQL, Python, etc.)
• Excellent analytical and problem solving skills
• Strong attention to detail and commitment to data accuracy and integrity
• Ability to work with various teams and stakeholders and take ownership of projects
• Ability and willingness to work hands-on with materials and equipment required to execute a data collection plan
• Excellent communication and collaboration skills

As a member of the Leidos Security Enterprise Solutions (SES) team, you will be joining a diverse and dedicated group who are excited about producing industry leading screening technology.  Our team produces a comprehensive suite of fully automated and integrated products for aviation, shipping ports, border crossings, and critical infrastructure customers.  These systems provide threat detection by screening baggage, cargo, and people at checkpoints around the world.  

Check out the links below to learn more about Security Enterprise Solutions (SES)
https://careers.leidos.com/pages/security-enterprise-solutions     
https://www.leidos.com/markets/aviation/security-detection  

Original Posting Date:

2024-06-25

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $65,000.00 - $117,500.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.