Piper Companies

Data Engineer (100% Remote)

Job description

Zachary Piper Solutions is searching for a Data Engineer that will work as a full time employee for our client supporting mission critical contracts.

Location:

  • 100% Remote

Security Clearance:

  • US Citizenship Required
  • Eligible for Secret or higher level clearance (A Secret clearance will be granted to those who do not actively possess one).

Responsibilities:

  • Developing, testing, and documenting software code for data extraction, ingestion, transformation, cleaning, correlation, and analytics
  • Participating in end-to-end architectural design and development lifecycle for new data services/products, and making them operate at scale
  • Participating in cross-functional team collaboration to understand customer requirements, design prototypes, and optimize existing data services/products
  • Demonstrating Data Science excellence in the teams you work with across the organization, and mentoring junior members in the Data Science division
  • Participating in research, case studies, and prototypes on cutting-edge technologies and how they can be leveraged

Required Qualifications:

  • 3+ years of experience bringing databases, data integration, and data analytics/ML technologies to production with a Bachelor’s degree in Computer Science/Data Science/Computer Engineering or relevant field
  • Mastery in developing software code in one or more programming languages (Python, JavaScript, Java, Matlab, etc.)
  • Expert knowledge in databases (SQL, NoSQL, Graph, etc.) and data architecture (Data Lake, Delta Lake)
  • Knowledgeable in machine learning/AI methodologies
  • Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto, etc.)

Preferred Qualifications:

  • Experience in short release cycles and the full software lifecycle
  • Experience with Agile development methodology (e.g., Scrum)
  • Strong writing and oral communication skills to deliver design documents, technical reports, and presentations to a variety of audiences

Data, Data Engineer, Engineering, Engineered, Data Sets, Data Ingestion, Data Extraction, Data Analytics, Data Analysis, Data Operations, Data Transformation, Data Transform, Data Cleaning, Data Correlation, Data Services, Data Products, Data Science, Machine Learning, SQL, Hadoop, Big Data, Meta Data, NoSQL, Graph, Artificial Intelligence, Remote, Washington DC, DC, District of Columbia, Annapolis, Maryland, Document, Documentation, Agile, Scrum, Waterfall, Clearance, Cleared, Secret, TS, Top Secret, TS/SCI, TS-SCI, TS SCI, Sensitive Compartmentalized Information, TSSCI, SSBI, Single Scope Background, Polygraph,

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