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Redshift Jobs in Florida (NOW HIRING)

Staffingine LLC

Oracle Data Engineer Lead

Tampa, FL · On-site

$65 - $70/hr

Leverage AWS services S3 Redshift Glue Lambda DMS for cloudbased data ingestion transformation and storage * Lead and mentor a team of data engineers fostering a culture of technical excellence and ...

Actionable Outcomes

Database Engineer

Melbourne, FL · On-site

$110K - $170K/yr

Fluency in SQL and especially the linguistic variants that apply to PostgreSQL and AWS Redshift. * Fluency with PL/pgSQL and its advanced uses such as variables, conditionals, loops, and error ...

Actionable Outcomes

Database Engineer

Melbourne, FL · Remote

$110K - $170K/yr

Fluency in SQL and especially the linguistic variants that apply to PostgreSQL and AWS Redshift. * Fluency with PL/pgSQL and its advanced uses such as variables, conditionals, loops, and error ...

BAE Systems

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling * Integrate AI/ML models with ETL pipelines and data warehouses to enable ...

Raymondjames

Lead Cloud Data Engineer

Saint Petersburg, FL · Hybrid

$96K - $127K/yr

The ideal candidate will have extensive experience with AWS Glue, PySpark, and Amazon Redshift. You will be responsible for designing, implementing, and optimizing data pipelines, ensuring data ...

CYNET SYSTEMS

Oracle PL/SQL Developer

Orlando, FL · On-site

$55/hr

Hands-on experience with Amazon Redshift. * Strong understanding of cloud-based data warehousing architectures. * Experience optimizing cloud data processing for scalability and cost efficiency.

Shift4

AWS Cloud Data Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Experience in lieu of a degree may be considered. • 3+ years of experience in cloud data engineering. • 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc ...

Shift4

AWS Cloud Data Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

Experience in lieu of a degree may be considered. • 3+ years of experience in cloud data engineering. • 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc ...

Shift4

Senior AWS Cloud Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

Experience in lieu of a degree may be considered. • 5+ years of experience in cloud data engineering. • 4+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc ...

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Redshift information

See Florida salary details

$11.2K

$180.3K

$289.2K

How much do redshift jobs pay per year?

As of Jun 8, 2026, the average yearly pay for redshift in Florida is $180,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,500.00 and $224,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Redshift position, and why are they important?

To thrive in a Redshift-focused role (such as an Amazon Redshift Database Administrator or Redshift Data Engineer), you need strong expertise in cloud data warehousing, SQL, ETL development, and data modeling, often backed by a degree in computer science or a related field. Proficiency with Amazon Web Services (AWS), specifically Redshift, as well as tools like Python, ETL platforms, and related AWS certifications are highly valuable. Effective communication, analytical thinking, and problem-solving skills enable you to translate business needs into scalable data solutions and collaborate with diverse teams. These skills are essential for ensuring data integrity, optimizing performance, and supporting strategic business decisions in a cloud-based data environment.

What is a Redshift job?

A Redshift job typically refers to a task or process involving Amazon Redshift, a cloud-based data warehousing service. This can include roles such as database administrators, data engineers, or analysts who work with Redshift to store, process, and analyze large datasets. Common responsibilities involve writing SQL queries, optimizing performance, managing clusters, and integrating Redshift with data pipelines.

What are some typical challenges faced by professionals working with Amazon Redshift, and how can I prepare for them?

Working with Amazon Redshift often involves optimizing large-scale data pipelines, troubleshooting performance bottlenecks, and ensuring data security in a cloud environment. It can be challenging to balance query speed with cost efficiency, especially as data volumes grow rapidly. Familiarity with Redshift best practices—such as schema design, compression techniques, and query optimization—will help you address these issues effectively. Proactively staying updated on AWS feature releases and participating in team knowledge sharing can also make problem-solving more efficient and collaborative.

What are the most commonly searched types of Redshift jobs in Florida? The most popular types of Redshift jobs in Florida are:
What are popular job titles related to Redshift jobs in Florida? For Redshift jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Redshift jobs in Florida look for? The top searched job categories for Redshift jobs in Florida are:
Redshift jobs near you
Infographic showing various Redshift job openings in Florida as of May 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $180,318 per year, or $86.7 per hour.
Sr Platform Data Engineer.- SGWS

Sr Platform Data Engineer.- SGWS

ShiftCode Analytics

Hollywood, FL • Hybrid

$104K - $125K/yr

Other

Posted 5 days ago

Job description

Sr. Data Platform Engineer

We're looking for a Sr. Data Platform Engineer who thrives in a hybrid role—60% administration and 40% development/support—to help us scale our data and DataOps infrastructure. You'll work with cutting-edge technologies like Databricks, Apache Spark, Delta Lake, and AWS CloudOps, Cloud Security, while supporting mission-critical data pipelines and integrations. If you're a hands-on engineer with strong Python skills, deep AWS experience, and a knack for solving complex data challenges, we want to hear from you.

Responsibilities:

  • Design, develop, and maintain scalable ETL pipelines and integration frameworks.
  • Administer and optimize Databricks and Apache Spark environments for data engineering workloads.
  • Build and manage data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3.
  • Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments.
  • Automate platform operations using Python, PySpark, and infrastructure-as-code tools.
  • Collaborate with cross-functional teams to support data ingestion, transformation, and deployment.
  • Provide technical leadership and mentorship to junior developers and third-party teams.
  • Create and maintain technical documentation and training materials.
  • Troubleshoot recurring issues and implement long-term resolutions.

Requirements:

  • Bachelor's or Master's degree in Computer Science or related field.
  • 5+ years of experience in data engineering or platform administration.
  • 3+ years of experience in integration framework development with a strong emphasis on Databricks, AWS, and ETL.
  • Strong AWS: fundamental understanding of cloud trail, cloud watch, S3, and ML platform experience (Glue, Lambda, AWS console management)
  • Experience managing Databricks on AWS platform and integrating with Redshift and Databricks
  • Strong programming skills in Python and PySpark.
  • Expertise in Databricks, Apache Spark, and Delta Lake.
  • Proficiency in AWS CloudOps, Cloud Security, including configuration, deployment, and monitoring.
  • Strong SQL skills and hands-on experience with Amazon Redshift.
  • Experience with ETL development, data transformation, and orchestration tools.
  • Kafka for real-time data streaming and integration.
  • Fivetran and DBT for data ingestion and transformation.
  • Familiarity with DataOps practices and open-source data tooling.
  • Experience with integration tools such as Apache Camel and MuleSoft.
  • Understanding of RESTful APIs, message queuing, and event-driven architectures.
ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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