Senior Data Engineer
| Company | Guidehouse |
|---|---|
| Location | Huntsville, AL, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- An ACTIVE and MAINTAINED Secret Federal or DoD security clearance
- Bachelor’s degree
- SEVEN (7) 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.
Responsibilities
- Leading a team of developers
- Participating in analysis of actual and predictable interacting operational activities of business
- Devising modeling and measuring techniques
- Utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques
- Providing consultation to technical solutions over a wide range of complex difficult problems
Preferred Qualifications
- 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