We are seeking a motivated and customer-oriented professional to support our US Courts client.

Duties and responsibilities include:

ETL Process Design and Development:

• Design and implement ETL processes to extract data from various sources, transform it according to business requirements, and load it into target databases or data warehouses.
• Develop and maintain ETL scripts, stored procedures, and functions.

Data Integration and Management:

• Generate new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets.
• Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib).
• Ensure data integrity, consistency, and quality throughout the ETL process.
• Collects and transforms structured, unstructured, relational, and NoSQL data using ETL and ELT tools as well as develops custom code using programming languages. Understands and uses distributed (g. MapReduce) methods that scale to multi-Terabyte sized data collections.
• Interprets and evaluates accuracy of results through iterative, agile methods.
• Applies data discovery and data visualization tools (g. Tableau, Trifacta) to develop compelling, actionable, useful data stories.
• Works closely with data SMEs, business, and management to prioritize business and information needs.

Required Qualifications:

• 8 years of relevant experience.
• Experience working directly on a data science team.
• Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
• Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
• Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact.
• Experience with cloud-based ETL solutions (e.g., AWS Glue, Azure Data Factory).
• Knowledge of Big Data technologies (e.g., Hadoop, Spark).
• Certification in relevant ETL or data integration technologies.

Education Requirement: Bachelor's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.

Clearance Requirement: Ability to obtain and maintain a Public Trust.

*This position is contingent upon contract award to Gunnison Consulting Group.

Why Join Gunnison?

• Gunnison takes on ambitious projects. We target fun, challenging work that requires creative thinking and innovation.
• Quality is our top priority.
• Gunnison employee benefits meet or exceed what other companies in the Washington, D.C. metropolitan area offer.
• As a small firm there is a great sense of camaraderie at Gunnison. Employees are treated like family. This is an atmosphere we will maintain as we continue to grow.
• We are growing rapidly and the opportunity for individual professional growth with Gunnison is outstanding.
• We hire for careers at Gunnison, not to fill a position.

Employee Benefits

Gunnison employee benefits meet or beat other companies in the Washington, D.C. metropolitan area, including:

• Bonuses AND profit-sharing!
• 401k Matching
• Certifications and training allowance $2,500/year
• 3 weeks of personal leave your first year (160 hours can roll over every year)

Equal Opportunity/Affirmative Action Employer. Must be eligible for employment in the United States. We are unable to sponsor candidates at this time

In 1994 Gunnison Consulting Group began serving the greater Washington, D.C. metro area, focused on tackling our customers' most ambitious technology projects. By creating a culture dedicated to enabling our customers and employees to achieve more than they ever thought they could, the company has thrived for over 25 years.