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Guidehouse · 1 day ago

Senior Data Engineer

US - AL, Huntsville

Full-time

Onsite

Senior Level

6+ years exp

Guidehouse is an Equal Opportunity Employer and is seeking a Senior Data Engineer to lead a team of developers. The role involves analyzing operational activities to support decision-making through scientific and economic techniques while applying expertise in data engineering and data science.

AdviceConsultingManagement Consulting

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Responsible for leading a team of developers and participating in analysis of actual and predictable interacting operational activities of business to obtain a quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques

Ability to devise modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.), and other principles and laws of scientific and economic disciplines

Ability to demonstrate a complete understanding and wide application of technical principles, theories, and concepts within the Data Science/Operations Research field and provide consultation to technical solutions over a wide range of complex difficult problems in which proposed solutions are imaginative, thorough, practicable, and consistent with organization objectives

Qualification

PythonData EngineeringCloud InfrastructureData VisualizationStatistical ProgrammingData AnalyticsDatabase TechnologyProject ManagementRMATLABSQL ServerGitScrum Master

Required

An ACTIVE and MAINTAINED Secret Federal or DoD security clearance

Bachelor's degree

SIX (6) or more years of data engineer, data analytics or data science experience

Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python

Preferred

Master's in a science, technology, math, engineering field preferred; humanities degree with equivalent technical experience acceptable

Demonstratable experience in at least one statistical programming language (i.e., C#, Python, R); knowledge and understanding of Python is a plus

Demonstrates expert experience in leading development efforts with clear examples of value added to the client

Demonstrates experience interacting with end-users to understand and document business and functional requirements for complex projects, as well as collaborating with technical teams across the full software development life cycle

Demonstrates considerable proven knowledge of organizational planning and project management specific to lifecycle development processes

Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python

Experience scoping and estimating project tasks, as well as managing multiple tasks with minimal supervision

Ability to collect, organize, manage, and process client's sources of information and enhance data collection procedures

Understanding of the processing, cleaning, and verification of data used for analysis and ad-hoc analysis

Ability to perform verification, validation, and fault detection of data models

Applied statistics skills, such as distributions, statistical testing, regression, etc

Understanding of data visualization tools (MS Power BI, Tableau, Qlik etc.); with a heavy emphasis on Power BI. Examples of migration between multiple visualization tools is a plus

Understanding of the appropriate statistical model to apply to any problem

Strong understanding and experience working with cloud infrastructure services like Azure, Amazon Web Services & Google Cloud; with a heavy emphasis on AWS

Demonstrable experience with web applications. RPA orchestration, cloud architecture, data API integration, data analytics, AI, big data platforms, and automating machine learning components

Ability to stand-up and manage an integrated software development and machine learning environment

Experience in any database technology (SQL Server/Azure Cosmos DB)

Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.)

Experience working with different query languages (i.e. PL-SQL, T-SQL)

Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)

Certified Scrum Master (CSM), Professional Scrum Master (PSM), or equivalent