Welcome page Returning Candidates and Employees: Log in! Sr Data Engineer Job Locations US-FL-St Petersburg Requisition ID 2024-33259 Position Type Full Time Position Classification Hybrid Job Function Information Technology Overview

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 positionwith an average requirement of one day per week onsite at the St. Petersburg office.

 

Major Position Responsibilities 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’sExperience with Data Models and Data Warehouses, using tools like SnowFlake or DataBricksFocus on Data Quality and maintaining accuracy and integrity within Data Catalogs and Business Intelligence systemsConstruct Data Pipelines using proven methods to prep, refine, and deliver data via ETL toolsAnalyze large, complex data sets using advanced query optimization techniques to extract insights and help drive business decisionsUtilize Predictive Modeling techniques such as Linear/Logistic Regression, Decision Trees, Time Series Forecasting to evaluate model performance, iterate, and optimizeAdhere to common Data Governance policies to maintain data security and privacy

 

Impact of the Role

 

General Profile

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

 

Basic Qualifications 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 DegreeDiscipline/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.

 

Pay Range (USD) $74,550 - $138,450.00 Pay Transparency Statement The salary range displayed reflects the minimum and maximum for salary for this position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, internal equity, and relevant education or training. Your recruiter can share more about the range during the hiring process. Benefits Employees are eligible for medical, dental, vision, short and long-term disability, and basic life insurance as well as pre-tax spending accounts. Employees are also able to enroll in the company's 401k plan and are eligible for the Non-Contributory Retirement Contribution. In addition to the benefits discussed above, the company offers the following voluntary benefits: Critical Illness Insurance, Accident Insurance, Identify Theft Protection, Enhanced Legal Services, Auto and Home Insurance, Pet Insurance, Commuter Benefits, Hospital Indemnity Insurance, Educational Assistance. PTO, Holiday, and Family Leave Employees will receive 11 paid holidays and 120 hours of PTO annually and up to 3 weeks paid family leave. Options Apply for this job onlineApplyShareEmail this job to a friendRefer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed

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