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Redshift Jobs in Florida (NOW HIRING)

Data engineer

Jacksonville, FL · On-site

$106K - $127K/yr

... Redshift, Google BigQuery, or Azure Synapse Analytics. * Strong knowledge of SQL, Python, and/or Scala for data processing and transformation. * Experience with relational and (preferably) NoSQL ...

Python Data Engineer

Tampa, FL · On-site

$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.

Data Architect

Orlando, FL · On-site

$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.

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 ...

Showing results 21-40

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 the most commonly searched types of Redshift jobs in Florida?

The most popular types of Redshift jobs in Florida are:

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.

Data Engineer (AI-focused)

Rempli

Miami, FL • On-site

$90K - $110K/yr

Full-time

Re-posted 3 hours ago


Job description


Data Engineer (AI-focused)
We work with teams building data foundations for AI-and we're looking to connect with Data Engineers who can structure, move, and scale data for intelligent systems.
If you're passionate about clean pipelines and powering AI with the right data-we'd love to hear from you.
Responsibilities
  • Build and maintain scalable data pipelines for AI/ML use cases
  • Design data architectures for structured and unstructured data
  • Prepare datasets for training, fine-tuning, and inference
  • Ensure data quality, reliability, and governance
  • Collaborate with ML and AI teams on data needs

Qualifications
  • 2-5+ years of experience in data engineering
  • Strong SQL and Python skills
  • Experience with ETL/ELT pipelines and big data tools
  • Familiarity with data requirements for ML/AI systems
  • Strong problem-solving and system design skills

Experience with:
  • Airflow / dbt / Spark
  • Data warehouses (Snowflake, BigQuery, Redshift)
  • Streaming tools (Kafka, Pub/Sub)