IT Data Engineer II

IT Data Engineer II 📍 Location: Juno Beach, FL (Onsite) 🕒 Duration: 6-Month Contract 💰 Pay Range: $38-$42/hour Position Overview We're seeking a Data Engineer with 3+ years of hands-on experience in data cleaning, transformation, and analysis using Python. This role is ideal for someone comfortable working with large, messy datasets who brings a strong analytical mindset and curiosity for modern data technologies. Experience with machine learning and LLMs is a strong plus. Key Responsibilities • Clean, preprocess, and transform structured and unstructured data using Python • Perform exploratory data analysis (EDA) to uncover trends and insights • Build reusable data pipelines and feature-engineering workflows • Work with SQL and cloud-based data warehouses to extract and prepare data • Partner 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) • Ensure data quality, reliability, and proper documentation Required Skills & Qualifications • 3+ years of experience as a Data Engineer or Data Analyst • Strong proficiency in Python for data manipulation and analysis • Pandas, NumPy, SciPy • Solid understanding of data cleaning, transformation, and feature engineering • Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.) • Familiarity with data visualization tools • Matplotlib, Seaborn, Plotly, Power BI, or Tableau • Strong foundation in statistics and data analysis • Experience working with APIs and external data sources • Excellent problem-solving and communication skills Preferred / Modern Tech Stack • Python (3.x) • Pandas, NumPy, Scikit-learn • Jupyter, VS Code • Git / GitHub • Cloud platforms: AWS, Azure, or GCP • Data tools: Airflow, dbt, Spark (basic exposure) • Docker (nice to have) Nice to Have • Hands-on experience with machine-learning models • Regression, classification, clustering, time series • Exposure to LLMs & Generative AI • OpenAI / Azure OpenAI APIs • Prompt engineering • Embeddings & vector databases (FAISS, Pinecone, Chroma) • Experience with NLP or text analytics • Understanding of MLOps fundamentals (model versioning, monitoring) ...