Data Engineer (onsite)

Vitaver & Associates • Juno Beach, FL

5d • Onsite

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed