Jobs Companies SciTec Data Engineer

À propos de ce poste Data Engineer chez SciTec

SciTec · Sur site · Princeton, New Jersey, United States

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and maintain a scalable infrastructure for company wide resource and project management. The ideal candidate is passionate about data, technology, and automation and has a strong technical background in data engineering, with a combination of technical and business skills and a demonstrated ability to think strategically and creatively.

Responsibilities

  • Designing, building, and maintaining a scalable data driven resource planning and management infrastructure used for collecting, storing, processing, and analyzing business and project execution data
  • Collaborate with business stakeholders, project managers, and project control specialists to define requirements and features to meet operational objectives and to support analytics use cases
  • Design, develop, and maintain robust, scalable data pipelines for ingesting, transforming, and loading structured and unstructured data from various sources into data storage systems
  • Manage and optimize data storage solutions, including databases, operational data stores, and data warehouses, to ensure high performance, reliability, and security
  • Identify and address performance bottlenecks in data pipelines and infrastructure through optimization, tuning, and capacity planning
  • Document data pipelines, infrastructure configurations, and best practices for data engineering standards, ensuring knowledge sharing and team collaboration
  • Other duties as assigned

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Business Intelligence/Analytics, or a related field
  • At least 3 years of experience in data engineering or software development
  • Development experience in Python and working knowledge of UI programming languages (i.e., JavaScript/TypeScript)
  • Experience working with complex data objects in various formats like JSON, XML and across different DB designs like PostgreSQL, MySQL
  • Orchestrate automated deployments across development, test, and production environments using Kubernetes, Docker, and Helm
  • Experience with AWS and deploying to cloud services
  • Agile development experience working with tools such as Gitlab, Atlassian Jira, Confluence, and Bitbucket
  • Excellent problem-solving skills, analytical thinking, and attention to detail
  • Effective communication and teamwork abilities to collaborate across multidisciplinary teams
  • Ability to multi-task, communicate effectively, collaborate in a team setting, and handle assignments independently
  • Ability to obtain government security clearance
  • Strong numerical, verbal, and written communication skills
  • Good verbal and written communication skills
  • Detail oriented

 Candidates who have the following skills will be preferred:

  • At least 5 years of experience in data engineering or software development
  • Active DoD Security Clearance

*Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment

Benefits

SciTec offers a highly competitive salary and benefits package, including:

  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours

The pay range for this position is $105,000-$125,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

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Comment se compare ce salaire pour Data Engineer

Ce poste paie $115,000/yren dessous de la fourchette habituelle pour les postes Data Engineer.

$105,108 la médiane $170,000 $256,450

Fourchette typique $140,000–$207,500/yr, à partir de 1,090 annonces Data Engineer comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour Data Engineer →

À propos de SciTec

The world brings problems; SciTec builds solutions. Our team is committed to delivering cutting-edge advanced sensor systems, data-processing algorithms, and testing equipment for defense, national security, and civil applications. As a certified small business, our core focus is getting innovative technologies tailored to our customers’ most pressing needs out of the laboratory and into the field. SciTec scientists, engineers, and developers bring world-class expertise and fresh thinking to solve the hardest problems in remote sensing. The same principles we adopted when we started in 1979 continue to guide us today: we commit to addressing ever-evolving challenges through continual innovation and adaptation with an empowered and dedicated workforce.

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