Description
Description
SAIC, a leading provider of systems development & deployment, targeting & intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance.
SAIC is seeking a Senior Data Engineer to support a fast-paced, dynamic environment supporting the development of new IT tools and capabilities. In this role, you will work closely with government customers and IT developers to validate customer requirements; establish the required data environments; serve as the data visualization subject matter expert; create and translate trend analyses, and facilitate stakeholder decision-making.
The ideal candidate will:
- Have a depth of experience in data science data governance, data architecture, and data engineering with large data sets, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView)
- Have experience working in agile and DevOps environments
- Be forward-leaning, recommending necessary improvements to achieve the customer's vision.
Responsibilities include:
- Establishing the system environment for large data sets, considering aspects such as data architecture, data governance, data capture, storage, extraction, process and analysis
- Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes
- Research, refine, and create data governance policy
- Applying data wrangling and exploration techniques
- Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses
- Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources
- Providing input on software implementation for analytics
- Validating customer requirements and determining feasibility of solutions and alternative options
- Contributing to and collaborating on executive-level briefings
- Solving complex problems through creative and effective solutions; identifying areas of improvement; and making recommendations to realize the customer's vision
Qualifications
Required:
- Active TS/SCI with CI Polygraph
- Bachelors and fourteen (14) years or more of related experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
- 3-5 years' experience within an IC Agency, preferably ODNI
- 5 plus years of experience as a data engineer, to include data governance/policy, data architecture, working with large data sets, cleaning and manipulating data, developing trend analyses, having knowledge of statistical techniques and concepts.
- Experience with data aggregation and visualization tools (e.g. Tableau, Power BI, QlikView)
- Experience with programming languages and statistical programs (Python, R Programming, SQL) data manipulation and applying algorithms
- Experience with Microsoft Access and Excel
- Knowledge of data wrangling and data exploration
Desired:
- Familiarity with Agile methodology
- Experience working with IT development projects
- Experience working with MongoDB and MySQL
- Deep understanding of machine learning and artificial intelligence for logical applications and techniques
- Work experience with DNI or similar agency
- Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Apply on company website
Find Connections via Linkedin
