Data Engineer
Remote - DC, United States
Full Time Mid-level / Intermediate Clearance required USD 92K - 171K * est.
AIS (Applied Information Sciences)
Trusted by many to deliver transformative solutions. Experts in Microsoft Cloud. Tap into the combined potential of your people and technology with AIS.If you’re seeking a sense of community and the ability for growth, look no further. Since 1982, we have been 100% dedicated to our people. Our approach permits greater ownership for individuals and welcomes input into decisions for a thriving workplace and happy employees. Our people are the core reason for AIS’ success. As an employee owned company, we are looking for individuals that are passionate about finding innovative solutions, and excited about emerging technologies and capabilities.
IntroductionWe are seeking a highly skilled Data Engineer to support the development and delivery of a cutting-edge visual analytic application. This role involves the design, development, and integration of data systems that power advanced graphics, high-performance computing, and analytical visualization tools for desktop and web-based platforms.
This is a proposal-based position; employment is contingent upon contract award and funding availability.
What You’ll Be DoingDevelop data analytics capabilities in support of web and desktop-based visual analytic software.
Facilitate large-scale analysis of structured and semi-structured relational data using open source, COTS, and GOTS technologies.
Design strategies for enterprise database systems and establish standards for operations, programming, and security.
Design, construct, and maintain large-scale relational databases.
Integrate new systems with existing data warehouse architectures and continuously refine system performance and functionality.
Translate raw data into actionable intelligence to support informed decision-making.
Lead major technical assignments and provide expert-level guidance across multiple project initiatives.
Evaluate performance metrics and recommend major changes to improve outcomes and ensure project success.
Potentially supervise junior engineers and technical staff.
This position will be onsite 100% in the Washington, DC area.
Security Clearance and Citizenship RequirementsActive Top Secret clearance is required to be considered for this position. You must be eligible for SCI access and a CI Polygraph.
Five (5)+ years of experience in data engineering or a related technical field.
Bachelor’s degree in Computer Science, Information Systems, Engineer, Mathematics, or a related technical field is required. In lieu of a degree, will consider 4 years of additional employment.
Demonstrated expertise in designing and managing enterprise database systems.
Experience with data integration, transformation, and analysis at scale.
Proficiency with structured and semi-structured data processing.
Strong understanding of database security, architecture, and optimization techniques.
Ability to work independently or lead a team on complex technical assignments.
In lieu of experience, relevant certifications or a portfolio of prior work demonstrating equivalent capability may be considered.
Active Top Secret clearance is required to be considered for this position. You must be eligible for SCI access and a CI Polygraph.
Experience with technologies such as SQL, Python, Spark, Hadoop, or Kafka.
Familiarity with cloud platforms (AWS, Azure, GCP).
Experience with data visualization tools and frameworks.
Understanding of DoD or Intelligence Community data systems.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Data Analytics Data visualization Data warehouse Engineering GCP Hadoop Kafka Mathematics Open Source Python RDBMS Security Spark SQL
Perks/benefits: Startup environment
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