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Junior Data Engineering Jobs in Florida (NOW HIRING)

... to junior data engineers. - Design and oversee efficient ETL/ELT processes using Snowflake and third-party tools. - Optimize Snowflake performance, including query tuning and data ingestion ...

We provide systems engineering, integration, and advanced technology services to transform the ... Position Description ENSCO, Inc. is seeking a Scientific Data Analyst with direct experience in ...

Data Architect

Tampa, FL · On-site +1

$60.25 - $77.50/hr

Mentor junior Data Architects and Data Engineers on Clarkston's analytics team * Assist in defining and managing client solutions How You'll Grow Beyond your day-to-day responsibilities, throughout ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... guiding junior team members - Upholding standards in project deliverables - Building and ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

This role sits at the intersection of data engineering and platform engineering - you will be ... junior engineers on data engineering best practices. ▸ Support CI/CD adoption for pipeline and ...

Cloud Data Engineer II

Miami, FL · On-site

$110 - $150/hr

The ideal candidate will have a strong background in cloud data engineering, with expertise in AWS ... Provides technical leadership, mentorship, and support to junior team members and business partners.

New

Cloud Data Engineer II

Miami Lakes, FL · On-site

$50.50 - $67.50/hr

The ideal candidate will have a strong background in cloud data engineering, with expertise in AWS ... Provides technical leadership, mentorship, and support to junior team members and business partners.

Showing results 41-60

Junior Data Engineering information

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Engineering jobs in Florida?

The most popular types of Data Engineering jobs in Florida are:

What are popular job titles related to Junior Data Engineering jobs in Florida?

For Junior Data Engineering jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Junior Data Engineering jobs?

Cities in Florida with the most Junior Data Engineering job openings:

Infographic showing various Junior Data Engineering job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Snowflake Engineer/ Architect

Winaxis

Miami, FL • On-site

Contractor

Re-posted 24 days ago


Job description

Job Summary (Snowflake Engineer/Architect)
- Lead the architecture, design, and development of scalable data solutions on the Snowflake platform.
- Provide technical leadership and mentorship to junior data engineers.
- Design and oversee efficient ETL/ELT processes using Snowflake and third-party tools.
- Optimize Snowflake performance, including query tuning and data ingestion.
- Establish and enforce data governance, security, and compliance standards.
- Implement automation and orchestration of data pipelines leveraging Azure and Snowflake features.
- Collaborate with data architects, scientists, and business analysts to align infrastructure with business needs.
- Stay current on Snowflake features and best practices; drive innovation in data infrastructure.
- Lead integration and deployment of Snowflake on cloud platforms, especially Azure.
- Maintain comprehensive technical documentation for architectures and processes.
- Utilize advanced Snowflake features (Snowpipe, Streams, Tasks, Materialized Views, etc.).
- Extract and ingest data from APIs.
- Ensure high data quality using best practices.
- Apply expertise in data modeling, data warehousing concepts (star/snowflake schemas), and big data technologies.
- Demonstrate advanced SQL skills for optimizing complex queries.
- Work with cloud environments (AWS, GCP, Azure) to deploy/manage Snowflake clusters.
- Use ETL/ELT tools (FiveTran, Matillion, Talend, Informatica) for data integration.
- Employ advanced scripting skills (Python, Bash) to automate data processes and support CI/CD.
- Build and tune machine learning models in Azure and Snowflake.
- Maintain strong knowledge of data security, encryption, and regulatory compliance (GDPR, HIPAA, SOC 2).
- Work within Agile development methodologies in a fast-paced environment.