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Redshift Jobs in Florida (NOW HIRING)

Purple Drive

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch, and Redshift. Strong expertise in Apache Spark for large-scale batch data processing.

Virtusa Corporation

Architect (ATC)

Tampa, FL · On-site

$60.25 - $77.50/hr

Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch, and Redshift. Strong expertise in Apache Spark for large-scale batch data processing.

Amiga Informatics

Data Architect

Orlando, FL

$59.50 - $76.50/hr

Experience with PostgreSQL and Redshift. Experience with time series databases is welcome but not a must. Extensive experience in development and deployment of Distributed Data Warehouse solutions.

Amiga Informatics

Data Architect

Orlando, FL · On-site

$59.50 - $76.50/hr

... Redshift. • Experience with time series databases is welcome but not a must. • Extensive experience in development and deployment of Distributed Data Warehouse solutions. • Experience with ETL ...

eMed LLC

Analytics Engineer

Miami, FL · On-site

Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS Redshift warehouse, following consistent naming, testing, and documentation standards. * Own and evolve ...

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Redshift information

What is a Redshift?

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 skills and qualifications are needed for a Redshift position?

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 challenges do professionals working with Amazon Redshift face, 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.

Does Redshift offer remote positions?

Redshift, as a data warehousing service, does not directly offer remote positions. However, companies that use Redshift for data analytics may have remote job opportunities in data engineering, analysis, or related roles, depending on the employer's policies. Remote work availability varies by organization and role requirements.

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 August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 67% Physical, 8% Hybrid, and 25% Remote job distribution.

Information Technology_USA - USA_Developer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees
Learn more about Real Soft, Inc.external

Contractor

Re-posted yesterday

Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - -hr
REQUIREMENT_CITY - Malvern, PA
REQUIREMENT_ID-10588067
Role Name - Data Engineer
ROLE_DESCRIPTION -
Skills: Java| AWS | Python | PySpark | Event-Driven Pipelines | Data Architecture
We are seeking an experienced Tech lead- Data Engineer (15+ years) with a strong background in Java, AWS, Python, PySpark, and event-driven architectures. You will design and build scalable batch and streaming data pipelines, optimize cloud data platforms, and deliver high-quality, reliable datasets that support analytics, reporting, and machine learning workloads.
Key Responsibilities
Architect, build, and maintain event-driven data pipelines using AWS services such as Kinesis, MSK/Kafka, Lambda, Step Functions, SQS/SNS, and Glue/EMR.
Develop ETL/ELT workflows using Python and PySpark, ensuring performance, scalability, and cost efficiency.
Implement and optimize Spark-based data transformations, partitioning strategies, and data processing frameworks.
Design and manage data lake and warehouse structures using S3, Glue Catalog, Athena, and/or Redshift.
Build streaming solutions with checkpointing, stateful transformations, idempotency, and schema evolution.
Ensure high standards of data quality, observability, monitoring, and alerting (CloudWatch, Datadog, etc.).
Implement data security best practices including IAM, encryption (KMS), networking, and governance.
Create reusable frameworks, internal libraries, and CI/CD pipelines for automated deployments.
Collaborate with data scientists, analysts, and business teams to deliver well-modeled, reliable datasets.
Lead design reviews, mentor junior engineers, and contribute to engineering best practices.
Required Qualifications
15+ years of professional experience in Data Engineering.
Strong expertise in Python and PySpark for large-scale data processing.
Advanced hands-on experience with AWS (S3, Glue, EMR, Lambda, Step Functions, Kinesis/MSK, DynamoDB, Athena, Redshift).
Deep experience building event-driven and streaming data pipelines.
Strong SQL experience for analytical and ETL workloads.
Hands-on experience with workflow orchestration tools such as Airflow or Step Functions.
Experience with CI/CD, Git, and Infrastructure-as-Code (Terraform or CloudFormation).
Strong understanding of distributed systems, Spark performance tuning, data modeling, and cloud cost optimization.
Knowledge of data security, encryption, networking, and compliance best practices in cloud environments.
Soft Skills
Strong design and architectural understanding
Excellent communication and stakeholder interaction skills
Ability to work in a globally distributed team, Project Code :

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