Technical Data Scientist/ETL Engineer

$155,000 - $172,000/Yr

GovCIO - Atlanta, GA

Full-time

Remote - Atlanta, GA

About the position

GovCIO is currently seeking a Technical Data Scientist/ETL Engineer to join our ETL Team, which is dedicated to ingesting and visualizing data from various cloud sources while alerting on deviations from normalization. This position is fully remote, allowing for flexibility while working from anywhere. The successful candidate will be responsible for developing, inspecting, mining, transforming, and analyzing data to create descriptive and predictive models that significantly impact productivity and decision-making processes, ultimately providing strategic mission impact. In this role, the engineer will apply data wrangling tools, including ETL and ELT processes, along with programming languages to collect and blend data from both operational and relevant external systems. The position requires a strong focus on data analysis, utilizing data mining, machine learning, and statistical analysis to create predictive and descriptive models. The engineer will also be responsible for applying and integrating these models to develop various analytical techniques such as segmentation, clustering, forecasting, and classification. Data visualization is a key component of this role, as the engineer will use data discovery and visualization tools to interpret and present findings in a compelling and usable manner. Maintaining and integrating analytical systems with operational systems is crucial, as is verifying the accuracy of the data and analytics produced. The engineer will interact with both business and data subject matter experts (SMEs) to ensure that the insights generated align with business needs and priorities. The role also involves generating new business insights through the extraction, storage, transformation, analysis, and visualization of diverse data sets. The engineer will collect and transform structured, unstructured, relational, and NoSQL data using ETL and ELT tools, as well as develop custom code using various programming languages. Understanding and utilizing distributed methods, such as MapReduce, to scale to multi-Terabyte data collections is essential. The engineer will analyze data using data mining, machine learning, and statistical algorithms available in commercial off-the-shelf (COTS) tools, building analytical solutions using programming languages and libraries. The position requires interpreting and evaluating the accuracy of results through iterative, agile methods, and applying data discovery and visualization tools to develop actionable data stories.

Responsibilities

• Develop, inspect, mine, transform, and analyze data to create descriptive and predictive models.
• Apply data wrangling tools including ETL, ELT, and programming languages to collect and blend data from operational and external systems.
• Utilize data mining, machine learning, and statistical analysis to create predictive and descriptive models.
• Integrate models to develop segmentation, clustering, forecasting, and classification models.
• Use data visualization tools to interpret and present findings in a compelling manner.
• Maintain and integrate analytical systems with operational systems, ensuring data accuracy.
• Interact with business and data SMEs to prioritize business and information needs.
• Generate new business insights through data extraction, storage, transformation, analysis, and visualization.
• Collect and transform structured, unstructured, relational, and NoSQL data using ETL and ELT tools.
• Analyze data using data mining, machine learning, and statistical algorithms available in COTS tools.
• Build analytical solutions using programming languages and libraries.
• Evaluate accuracy of results through iterative, agile methods.

Requirements

• HS Diploma with 9+ years of experience/professional.
• Must have or obtain IAT level II/III certification (i.e., CompTIA Security+(CE)).
• Demonstrated experience or certifications in Linux and/or AWS GovCloud technologies.

Nice-to-haves

• Strong interpersonal skills to collaborate with customers and internal cross-functional teams.
• Experience with virtual and/or cloud-based servers and applications (AWS GovCloud Specific).
• Excellent technical documentation and reporting skills.
• Effective written and oral communication skills.
• Experience working in an Agile environment.
• Certification(s) in relevant technologies.
• Active Top Secret clearance.