Senior Data Engineer

Guidehouse • Huntsville, AL

4h

About The Position

The Senior Data Engineer is 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.

Requirements

• An ACTIVE and MAINTAINED Secret Federal or DoD security clearance
• Bachelor’s degree
• EIGHT (8) years of professional experience, including TWO (2) years of data engineer or data science experience
• Experience with common data science tools, such as R, Python, MATLAB; with a heavy emphasis on Python.

Nice To Haves

• 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

Responsibilities

• leading a team of developers
• 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.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level