Data Engineer

Reston, VA, United States

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Overview

About Level Up 

 

Level Up, LLC, a wholly-owned subsidiary of AVIAN, represents a fusion of innovation, reliability, and top-tier cyber security and IT solutions. As a Virginia-based small business with over 150 years of collective experience, we pride ourselves on providing industry-leading expertise, big data analytics, and all-source research and analysis. Our technical capabilities directly bolster our customers' objectives, from mission centers to forward-deployed operations. 

 

In 2021, we joined forces with AVIAN, an employee-owned business and one of America’s fastest-growing private companies. With a shared commitment to resourcefulness, responsiveness, and reachability, we continue to uphold our trademark dependability and innovation, delivering exceptional services to our 80 government and commercial clients across 13 states. 

 

Beyond our technical and consulting prowess, we at Level Up believe in creating a positive impact within our communities. Through our charitable giving and volunteer programs, we support causes close to our hearts and inspire meaningful change. This commitment to service and community enhancement is what we call "The Level Up Way". 

 

Together, Level Up and AVIAN offer comprehensive solutions, blending technology and community engagement to create an exceptional partnership for our employees, customers, and community. 

Responsibilities

As a Data Engineer, you will transform and deliver high-priority datasets to enable exploitation and analysis for the federal government’s intelligence mission.

Using computer programming and other capabilities, Data Engineers develop processes to transform raw structured or unstructured data into useful, actionable information for critical mission systems. They design and build scalable data pipelines using commercial cloud, open source, and custom software solutions to process large datasets. Data Engineers create automated data validation methods to load data into systems accurately and consistently. Through partnerships with collectors, data scientists, and software engineers, Data Engineers design how data will be integrated and stored for optimal effectiveness.

Data Engineers are curious and use their skills to identify problems and build solutions, applying updated expertise in areas such as ETL, workflow and container orchestration, database and search technologies, distributed computing, serverless design, and cloud solutions.

Qualifications

Required Experience, Skills, & Technologies

  • Bachelor's degree or higher in one of the following fields or related studies:
    • Computer Science
    • Computer / Electrical Engineering or related field
    • Data Science or related quantitative science field
    • Information Science/Technology
    • Forensics (Digital Forensics, Forensic Science, and Technology)
    • Mathematics/Statistics
  • Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL
  • Knowledge of data ingestion, transformation, modeling, and storage:
  • Strong critical thinking and problem-solving skills
  • Ability to work independently and to collaborate within a diverse team environment
  • Curiosity, creativity, and initiative

Desired Experience, Skills & Technologies

  • Prior experience related to data engineering, data science, data architecture, database and search technologies
  • Experience analyzing or processing bulk datasets
  • Experience with signal/image processing, geospatial modeling or voice/data communications
  • Prior application of serverless design patterns, such as serverless applications or websites
  • Understanding of scaling and performance of distributed/cloud systems
  • Understanding of data science concepts, AI/ML, automation, and scripting

Clearance Required

  • Due to the sensitivity of customer-related requirements, U.S. Citizenship is required.

  • Must possess a Top Secret/SCI security clearance with a Full Scope polygraph.
  • This position has an on-site requirement and is not eligible for fully remote candidates. 

At Level Up, LLC, we offer a comprehensive benefits package designed to support your health, financial security, and overall well-being. Our health and wellness benefits include medical, dental, and vision coverage, along with telemedicine services and a TRICARE supplement for veterans. Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions, and an employee stock ownership plan (ESOP). Additional perks like wellness reimbursements and referral bonuses are also available.

For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D) coverage, disability benefits, and AFLAC supplemental insurance. In terms of life, work, and family, we provide flexible time off, paid sick leave, maternity and bonding leave, and military training leave. Tuition reimbursement and professional development opportunities are available to help you grow. We also offer pet insurance, identity protection, and life assistance programs. At Level Up, LLC, we prioritize a balanced, supportive environment that allows you to thrive both personally and professionally.

Level Up, LLC is a service-based organization. As an equal opportunity employer, our policy of business is to seek the most qualified candidate for each talent opportunity without regard to race, creed, color, sex, age, religious belief, marital status, national origin, ancestry, sexual preference, physical or mental handicap, lawful political affiliation or veteran’s status.

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* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰

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Tags: Analytics Automation Big Data Clearance Clearance Required Cloud Computer Science Data Analytics Forensics Java Mathematics Open Source Polygraph Python Scala Scripting Security Clearance SQL Top Secret TS/SCI

Perks/benefits: Career development Equity / stock options Flex vacation Health care Insurance Medical leave Salary bonus Wellness

Regions: Remote/Anywhere North America
Country: United States

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