Data Engineer

Juno Beach, FL, US • Posted 60+ days ago • Updated 2 hours ago
Contract W2
On-site
$50.00 - $53.50 hourly
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Job Details

Skills

  • Unstructured Data
  • EDA
  • Workflow
  • Data Warehouse
  • Collaboration
  • Analytical Skill
  • Dashboard
  • Data Quality
  • Documentation
  • SQL
  • PostgreSQL
  • MySQL
  • Snow Flake Schema
  • Data Cleansing
  • Data Visualization
  • matplotlib
  • Plotly
  • Microsoft Power BI
  • Tableau
  • Statistics
  • Data Analysis
  • Data Manipulation
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Python
  • Pandas
  • NumPy
  • scikit-learn
  • Git
  • GitHub
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Apache Spark
  • Docker
  • Machine Learning (ML)
  • Regression Analysis
  • Clustering
  • Time Series
  • Generative Artificial Intelligence (AI)
  • Microsoft Azure
  • Prompt Engineering
  • Vector Databases
  • Natural Language Processing
  • Text Mining
  • Artificial Intelligence
  • Messaging

Summary

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Engineer in Juno Beach, FL.

Key Responsibilities:
* Clean, preprocess, and transform structured and unstructured data using Python
* Data Engineer will 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
* As a Data Engineer, you will 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

REQUIREMENTS:
* 3+ years of experience as a Data Engineer/Data Analyst
* Experience with SQL (PostgreSQL, 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, NumPy, SciPy
* Strong problem-solving and communication skills

Modern/Latest Tech Stack (Preferred):
* Python (3.x)
* Pandas, NumPy, Scikit-learn
* Jupiter, VS Code
* Git/GitHub
* Cloud platforms: AWS/Azure/Google Cloud Platform
* Data tools: Airflow, dbt, Spark (basic exposure)
* Containerization: Docker (nice to have)

Good 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 (FAISS, Pinecone, Chroma)
* Experience with NLP or text analytics

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD 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 unless and 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.

By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: kforcecx
  • Position Id: ITEQG2165457
  • Posted 30+ days ago

Company Info

About Kforce Technology Staffing

Kforce is a solutions firm specializing in technology, finance and accounting, and professional staffing services. Our KNOWLEDGEforce® empowers industry-leading companies to achieve their digital transformation goals. We curate teams of technical experts who deliver solutions custom-tailored to each client’s needs. These scalable, flexible outcomes are shaped by deep market knowledge, thought leadership and our multi-industry expertise. 

Our integrated approach is rooted in 60 years of proven success deploying highly skilled professionals on a temporary and direct-hire basis. Each year, approximately 18,000 talented experts work with the Fortune 500 and other leading companies. Together, we deliver Great Results Through Strategic Partnership and Knowledge Sharing®

NYSE: KFRC

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