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)
...