1

Data Extraction Jobs in Miami, FL (NOW HIRING)

ETL Developer | 10+ Years

Miami, FL · On-site

$48.75 - $63.75/hr

MDAEdge is seeking a skilled ETL Developer with 9 to 12 years of experience in SSIS and Databricks ... The role involves building efficient data pipelines, ensuring high data quality, and collaborating ...

Focus on Power BI, SQL, ETL. Retrieving Data & Analyzing. * Looking for 2-5years of exp not more than that * This position will focus on building scalable analytics solutions, developing predictive ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Key Responsibilities Support the design, development, and maintenance of ETL/ELT data pipelines using Databricks and SQL technologies. Assist with data ingestion, transformation, and integration ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

RevCloud is a plus Key Responsibilities • Design, build, and maintain robust ELT/ETL pipelines ingesting data from Salesforce, HubSpot, Stripe, and other commercial systems into BigQuery. • ...

Fulltime- Data Architect

Miami, FL · On-site

$61 - $78.50/hr

Mentor development teams on best practices relating to data modeling, star and snowflake schemas, operational data stores and ETL design. The position provides technical guidance in the areas of ...

Data Engineer I

Plantation, FL

$113K - $136K/yr

Key Responsibilities Support the design, development, and maintenance of ETL/ELT data pipelines using Databricks and SQL technologies. Assist with data ingestion, transformation, and integration ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Key Responsibilities • Support the design, development, and maintenance of ETL/ELT data pipelines using Databricks and SQL technologies. • Assist with data ingestion, transformation, and ...

Data Engineer I

Plantation, FL · On-site

$60 - $80/hr

Support the design, development, and maintenance of ETL/ELT data pipelines using Databricks and SQL technologies. * Assist with data ingestion, transformation, and integration processes across ...

Data Layer Engineer

Doral, FL · On-site

$109K - $131K/yr

Develop and optimize ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services. * Implement metadata management ...

Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure, AWS, GCP) to support real-time and batch analytics. * Develop New Data Objects and Power BI ...

Data Lake Engineer

Doral, FL · On-site

$109K - $131K/yr

Optimize ETL pipelines for high-volume data transformation, ensuring compliance with DoD IL-4/IL-5 security standards * Implement storage tiering strategies and access controls, ensuring data is ...

Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and SQL technologies. * Build and optimize data ingestion, transformation, and integration processes across healthcare ...

Showing results 41-60

Data Extraction information

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

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

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

What are the most commonly searched types of Data Extraction jobs in Miami, FL?

The most popular types of Data Extraction jobs in Miami, FL are:

What cities near Miami, FL are hiring for Data Extraction jobs?

Cities near Miami, FL with the most Data Extraction job openings:

Infographic showing various Data Extraction job openings in Miami, FL as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution.

AWS Glue / Snowflake Data Engineers

Expert Technology Services

Doral, FL • On-site

$105K - $127K/yr

Contractor

Posted 20 days ago


Job description

Job Summary (List Format) – Senior Data Engineer (AWS Glue and Snowflake Specialist):
- Lead the integration of AWS cloud-native infrastructure with Snowflake data warehouse.
- Design, build, and maintain robust, scalable ETL/ELT data pipelines.
- Develop high-performance data processing layers to support business intelligence and advanced analytics.
- Optimize and tune data solutions for performance and scalability.
- Implement and manage data pipelines using AWS Glue, Snowflake, and other cloud data platforms.
- Collaborate with stakeholders to support data-driven decision-making across the organization.
- Utilize advanced SQL for data modeling, querying, and optimization.
- Work with PostgreSQL, Amazon DocumentDB, and related technologies.
- Ensure best practices in ETL/ELT development and cloud-native solution implementation.
- Apply Agile methodologies to deliver high-quality data solutions.