Technical Data Scientist/ETL Engineer

$155,000 - $172,000/Yr

GovCIO - Austin, TX

Full-time - Mid Level

Remote - Austin, TX

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 segmentation, clustering, forecasting, classification, and other analytical models. 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. The engineer will maintain and integrate analytical systems with operational systems, ensuring the accuracy of data and analytics. Close interaction with both business and data subject matter experts (SMEs) is essential to prioritize business and information needs. The role also involves generating new business insights through the extraction, storage, transformation, analysis, and visualization of diverse data sets, including structured, unstructured, relational, and NoSQL data. The engineer will utilize distributed methods, such as MapReduce, to handle multi-Terabyte sized data collections effectively. Additionally, the engineer will analyze data using various data mining, machine learning, and statistical algorithms available in commercial off-the-shelf (COTS) tools, such as SAS, SPSS, and Oracle, while building analytical solutions using programming languages like R and Python, along with relevant programming libraries. The position requires interpreting and evaluating the accuracy of results through iterative, agile methods, and developing actionable data stories using visualization tools like Tableau and Trifacta.

Responsibilities

• Develops, inspects, mines, transforms, and analyzes data to create descriptive and predictive models.
• Applies data wrangling tools including ETL, ELT, and programming languages to collect and blend data from operational and relevant external systems.
• Applies data mining, machine learning, and statistical analysis on data to create predictive and descriptive models.
• Integrates models to develop segmentation, clustering, forecasting, classification, and other models.
• Uses data discovery and visualization tools to interpret and present findings in a compelling manner.
• Maintains and integrates analytical systems with operational systems, verifying the accuracy of data and analytics.
• Interacts with both business and data SMEs to prioritize business and information needs.
• Generates new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets.
• Collects and transforms structured, unstructured, relational, and NoSQL data using ETL and ELT tools.
• Understands and uses distributed methods that scale to multi-Terabyte sized data collections.
• Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools.
• Builds analytical solutions using programming languages and programming libraries.
• Interprets and evaluates accuracy of results through iterative, agile methods.

Requirements

• HS Diploma with 9+ years 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.

Benefits

• Competitive salary based on experience and qualifications.
• Opportunities for professional development and training.
• Flexible work environment with remote work options.
• Health, dental, and vision insurance options.
• 401(k) retirement plan with company matching contributions.