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Data Engineer Intermediate Jobs in Florida (NOW HIRING)

Kforce Technology Staffing

Data Engineer

Juno Beach, FL · On-site

$111.90K - $134.40K/yr

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

Centurion Consulting Group

Software Engineer

Tampa, FL · On-site

$155K - $175K/yr

Intermediate Data Engineering: Intermediate DevOps Engineering: Advanced API: Advanced Dockerization: Intermediate Full Stack Developer: Advanced JavaScript: Intermediate React.js: Intermediate ...

WSP

Intermediate Coastal Engineer

Tallahassee, FL · On-site

This Opportunity WSP is seeking a dedicated Intermediate Coastal Engineer for its Tallahassee ... Prepare data and visualizations such as tables, charts, reports, models, cross-sections, and other ...

WSP

Intermediate Coastal Engineer

Tallahassee, FL · On-site

This Opportunity WSP is seeking a dedicated Intermediate Coastal Engineer for its Tallahassee ... Prepare data and visualizations such as tables, charts, reports, models, cross-sections, and other ...

One Park Financial

Analytics Engineer

Miami, FL · On-site

... Data Engineer, or similar role * Demonstrated experience building a DBT project from scratch in a production environment, including project structure, layered modeling (staging → intermediate → ...

One Park Financial

Analytics Engineer

Miami, FL

... Data Engineer, or similar role * Demonstrated experience building a DBT project from scratch in a production environment, including project structure, layered modeling (staging intermediate marts ...

One Park Financial

Analytics Engineer

Miami, FL · On-site

... Data Engineer, or similar role * Demonstrated experience building a DBT project from scratch in a production environment, including project structure, layered modeling (staging → intermediate → ...

Lennar

AI Engineer II

Miami, FL · On-site

Manage S3 bucket structure and access patterns that support agent context: storing prompt artifacts, retrieval corpora, output logs, and intermediate agent state. * Partner with data engineers and ...

Lennar

AI Engineer II

Miami, FL

Manage S3 bucket structure and access patterns that support agent context: storing prompt artifacts, retrieval corpora, output logs, and intermediate agent state. * Partner with data engineers and ...

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Data Engineer Intermediate information

What are the key skills and qualifications needed to thrive as a Data Engineer Intermediate, and why are they important?

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.

What are some common challenges Data Engineer Intermediates face when working with large-scale data pipelines?

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What are Data Engineer Intermediates?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

What are the most commonly searched types of Data Engineer jobs in Florida? The most popular types of Data Engineer jobs in Florida are:
What cities in Florida are hiring for Data Engineer Intermediate jobs? Cities in Florida with the most Data Engineer Intermediate job openings:
Data Engineer Intermediate jobs near you
Data Engineer

Data Engineer

Kforce Technology Staffing

Juno Beach, FL • On-site

$111.90K - $134.40K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

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.

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