Job Description
Job DescriptionData Engineer II
Location: Juno Beach, FL | Duration: 6 Months Contract
Overview
Our client is a leading energy company seeking a skilled Data Engineer with 3+ years of hands-on experience in data cleaning, transformation, and analysis using Python. This is an excellent opportunity to work with cutting-edge data technologies, large-scale datasets, and contribute to data-driven solutions in the energy sector. The ideal candidate brings strong analytical skills and experience with modern data stack technologies.
Key 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 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 machine learning techniques and support LLM-based solutions
- Ensure data quality, reliability, and comprehensive documentation
Required Qualifications
- 3+ years of experience as a Data Engineer/Data Analyst
- Strong proficiency in Python (Pandas, NumPy, SciPy)
- Solid understanding of data cleaning, transformation, and feature engineering
- Experience with SQL databases (PostgreSQL, MySQL, BigQuery, Snowflake)
- Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, Power BI/Tableau)
- Understanding of statistics and data analysis fundamentals
- Experience working with APIs and external data sources
- Strong problem-solving and communication skills
Preferred Skills
- Experience with cloud platforms (AWS/Azure/GCP)
- Knowledge of modern data tools (Airflow, dbt, Spark)
- Machine Learning experience (regression, classification, clustering)
- Exposure to LLMs and Generative AI (OpenAI APIs, prompt engineering)
- Experience with containerization (Docker)
- NLP or text analytics background
Benefits
- Competitive hourly rate of up to $40/hour
- Opportunity to work with cutting-edge data technologies
- Exposure to large-scale energy industry datasets
- Professional development in ML and AI technologies
- Collaborative team environment