Data Engineer - Sr

Nalley Consulting•Charlottesville, VA

7d•Onsite

About The Position

Join the mission on the Nalley Consulting team. This role encompasses both Data Science and Data Engineering disciplines and requires raw coding experience without AI assisted IDEs. You’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. You’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.

Requirements

Bachelor's degree or equivalent experience
CompTIA Security+ certification
TS/SCI and current CI poly clearance
3+ years of experience designing, developing, operationalizing, and maintaining complex data applications
3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
3+ years of experience developing code for data manipulation, data analysis, or data modeling
Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
Experience in the development of algorithms leveraging Python and SQL
Experience with Python data science and visualization packages
Experience with leading the development of solutions to complex problems
Experience working within a TS environment with onsite development tools
Experience with database administration or data analytics
Experience with structured and unstructured data

Nice To Haves

12+ years of experience in Extract, Transform, and Load (ETL) processes
7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
7+ years of experience developing code for data manipulation, data analysis, or data modeling
3+ years of experience with AI and ML implementation and development
Experience with DevSecOps tools, including GitHub
Experience working within the Intel Community
Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
Experience with Streamlit, Tkinter
Experience with Agile software development

Responsibilities

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
Proactively retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems.
Performing statistical analysis, applies data mining techniques, and builds high quality prediction systems.
Utilizing skills in data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms.
Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics.
Developing and deployment of pipelines and platforms that organize and make disparate data meaningful.
Mentoring a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Overseeing the assessment, design, building, and maintenance of scalable platforms for clients.