ORBIS is seeking experienced Data Engineer will work with the Product Engineering team to create & implement the rapidly growing portfolio of technical products Orbis is bringing to customers. They will be responsible for building & maintaining data pipelines to support the whole data lifecycle of production, across projects involving AI agents, NLP ML, managing unstructured streaming data, dashboarding & application production, etc. The ideal candidate has a strong understanding of data engineering principles and practices, especially regarding Google Cloud & Cloudflare core analytics products.

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in computer science, data science, or a related field
• Minimum 3+ years of experience in data engineering; 7-10+ years preferred
• Master’s degree in data science, computer science, or mathematics preferred but not required for this position

REQUIRED SKILLS & ABILITIES:

• U.S. Citizenship
• Proven ability to analyze data and translate analysis into meaningful insights, especially social and traditional media data
• Experience with GCP products such as Big Query, Cloud Storage, Dataflow, Pub/Sub, etc., including machine learning capabilities especially related to NLP
• Experience with Cloudflare and/or large-scale data integration projects into edge-ready applications
• Relevant programming skills such as Python, SQL, Java, etc.
• Demonstrated ability to manipulate large data sets into user-friendly formats for stakeholder use & into production applications, including mobile applications
• Experience developing presentations and providing briefings to non-technical audiences
• Excellent oral and written communication skills, as well as strong experience in data visualization

DESIRED SKILLS & ABILITIES:

• Experience designing and implementing organizational or programmatic performance measurement strategies
• Ability to analyze information and identify second-order implications to processes
• Experience in qualitative research and program evaluation activities
• Experience with change management
• General familiarity with one or more of: natural language processing, transformer architectures, machine vision (object detection, facial recognition), one-shot learning, reinforcement
• Solid background in statistics and/or mathematics, including an understanding of data sampling issues and bias measurement and mitigation techniques
• Experience developing and deploying capabilities on an air gapped network

PHYSICAL REQUIREMENTS:

• Prolonged periods of sitting at a desk and working on a computer
• Routine video conference and/or in-person meetings
• Ability to attend planned meetings within the Washington Metro Area region and at overseas client sites
  We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status

DUTIES & RESPONSIBILITIES:

• Build and maintain data pipelines that ingest, store, and process data on GCP and between SaaS/PaaS ecosystems
• Work with data & platform vendors to manage a wide range of product-led business activities and consulting projects
• Provide and manage IAM & Security recommendations for internal environment and broker access controls throughout organization
• Work with client and data science teams to provide statistical analysis, mathematics, computing models, machine learning, and programing to derive value from data
• Build new workflows & data pipelines as client needs arise
• Assist with stakeholder education on quantitative capabilities, helping them to understand strengths and weaknesses of different approaches and what problems are suitable and unsuitable for data science
• Brief senior-level stakeholders & customers on data architecture patterns, activities, findings and recommendations

SUPERVISORY RESPONSIBILITIES:

• This position has no supervisory responsibilities.