Data Engineer

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

• 3+ years of experience as a Data Engineer/Data Analyst
• Experience with SQL (Postgre
  
  SQL, MySQL, Big Query, Snowflake, etc.)
• Experience working with APIs and external data sources
• Solid understanding of data cleaning, transformation, and feature engineering
• Familiarity with data visualization tools:
  Matplotlib, Seaborn, Plotly, or Power BI/Tableau
• Understanding of statistics and data analysis fundamentals
• Strong proficiency in Python for data manipulation and analysis (Pandas, Num Py, Sci Py)
• Strong problem‑solving and communication skills

• Python (3.x)
• Pandas, Num Py, Scikit‑learn
• Jupyter, VS Code
• Git/Git Hub
• Cloud platforms: AWS, Azure, GCP
• Data tools:
  Airflow, dbt, Spark (basic exposure)
• Containerization:
  Docker (nice to have)

• Hands‑on experience with machine learning models (regression, classification, clustering, time series)
• Exposure to LLMs and generative AI (OpenAI/Azure OpenAI APIs, prompt engineering, embeddings, vector databases such as FAISS, Pinecone, Chroma)
• Experience with NLP or text analytics

We offer a pay range that is the lowest to highest compensation we reasonably and in good faith believe we would pay at posting for this role. The range may be modified in the future. Employee pay is based on factors such as relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract, and business needs.

We offer comprehensive benefits including medical, dental, and vision insurance; HSA; FSA; 401(k); and life, disability, and AD&D insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested, and determinable. The amount and availability of any compensation remains in Kforce's sole discretion until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives, or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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