Sr Data Engineer

Our Sr. Data Engineer will collaborate with stakeholders to understand data needs for the business. Work with users to define requirements, design prototypes, and deliver solutions. Teach users how to turn results into actionable insights with tools like Power BI. Identify new opportunities for continuous improvement and more effective data collection and analysis. Self driven to explore new opportunities with AI, LLM's, Machine Learning, Data Fabric, Edge Analytics.

This is a remote position with an average requirement of one day per week onsite at the St. Petersburg office.

Builds systems and infrastructures that collect and process data according to company needs and goals.
• Builds, evolves and scales out infrastructure to ingest, process and extract meaning out data.
• Designs, develops and implements statistical models to carry out various novel aspects of classification and information extraction from data.
• Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes.
• Analyzes data to spot anomalies, trends and correlate similar data sets.
• Designs, develops and implements natural language processing software modules.
• Troubleshoots problems, identifies possible solutions, and resolves accordingly.

Additional Responsibilities

• Build Visualizations and interactive Dashboards that lead the Storytelling of key metrics and KPI's
• Experience with Data Models and Data Warehouses, using tools like SnowFlake or DataBricks
• Focus on Data Quality and maintaining accuracy and integrity within Data Catalogs and Business Intelligence systems
• Construct Data Pipelines using proven methods to prep, refine, and deliver data via ETL tools
• Analyze large, complex data sets using advanced query optimization techniques to extract insights and help drive business decisions
• Utilize Predictive Modeling techniques such as Linear/Logistic Regression, Decision Trees, Time Series Forecasting to evaluate model performance, iterate, and optimize
• Adhere to common Data Governance policies to maintain data security and privacy

Impact of the Role

General Profile

• Consistent exercise of discretion & judgment
• Requires in-depth conceptual and practical knowledge in own job discipline and basic knowledge of related job disciplines
• Solves complex problems
• Works independently, receives minimal guidance
• May lead projects or project steps within a broader project or may have accountability for on-going activities or objectives
• Acts as a resource for colleagues with less experience

• Required education and experience: Associate's Degree and 5-7 years' experience or Equivalent Combination of Relevant Education &/or Experience
• Knowledge, skills & abilities: Data engineering. Oral and written communication skills. Computer skills. Technical expertise. Analytical thinking skills. Problem-solving skills. Leadership skills.
• Critical professional related technical skills: Proficient in MS Office (Excel, Word, PowerPoint).

Preferred Qualifications

• Preferred education and experience: Bachelor's Degree
• Discipline/Major: Engineering degree preferred.
• Knowledge, skills & abilities: Knowledge of Power BI, SQL, DAX, SSRS, SSIS, Python, R, JavaScript, TensorFlow, PyTorch, and scikit-learn.

Physical Demands:

• Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.
• Work primarily in a climate-controlled environment with minimal safety/health hazard potential.

Travel:

• Less than 25% travel likely.

The above statements describe the general nature and level of work only. The statements do not represent an exhaustive list of required responsibilities and skills. Other duties may be added or this job description may be amended at any time. This job description does not alter an employee's at-will employment status or create an employment agreement or contract, implied or otherwise.