14392 - Data Engineer (onsite) – Juno Beach, FL
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12+ months with possible extensions
Work Setting: 100% of the time at the Client’s site. No telecommuting or remote work. This is a non-negotiable requirement from the client.
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:
• Availability working 100% of the time at the Client’s site in Juno Beach, FL.
• Experience as a Data Engineer / Data Analyst (3+ years)
• Experience with Python for data manipulation and analysis
• Experience with data cleaning, transformation, and feature engineering
• Experience with SQL databases including PostgreSQL, MySQL, BigQuery, and Snowflake
• Experience with data visualization tools such as Matplotlib, Seaborn, Plotly, Power BI, or Tableau
• Experience with statistical methods and data analysis fundamentals
• Experience working with APIs and external data sources.
Preferred:
• Experience with Python (3.x)
• Experience with Python libraries such as Pandas, NumPy, and Scikit-learn
• Experience with development environments and notebooks including Jupyter and VS Code
• Experience with version control systems such as Git and GitHub
• Experience with cloud platforms including AWS, Azure, and GCP
• Experience with data orchestration and processing tools such as Airflow, dbt, and Spark (basic exposure)
• Experience with containerization tools such as Docker
• Hands-on experience with Machine Learning models including regression, classification, clustering, and time series
• Experience with Large Language Models (LLMs) and Generative AI
• Experience working with OpenAI and Azure OpenAI APIs
• Experience with prompt engineering techniques
• Experience with embeddings and vector databases such as FAISS, Pinecone, and Chroma
• Experience with Natural Language Processing (NLP) or text analytics
• Experience with MLOps fundamentals including model versioning and monitoring
Responsibilities :
• Clean, preprocess, and transform structured and unstructured data using Python
• Perform exploratory data analysis (EDA) to uncover insights and trends
• Build reusable data pipelines and feature engineering workflows
• Work with SQL and/or cloud-based data warehouses to extract and prepare data
• Collaborate with stakeholders to translate business problems into data-driven solutions
• Develop and maintain analytical models and dashboards
• Apply basic to intermediate machine learning techniques where applicable
• Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed
• Ensure data quality, reliability, and documentation
Why apply?
• Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
• Work with a great team of professionals and learn newest technologies and approaches;
• Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation;
• Benefit from multiple projects extensions;
• Receive support and advice from Vitaver consultants who are already working at our Client’s site;
• Get extra cash by participating in Vitaver Successful Completion Bonus Program;
• Always get paid in full and on time.