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Data Extraction Jobs in Miami, FL (NOW HIRING)

Data Scientist

Miami, FL · On-site

$150 - $200/hr

Strong proficiency in Python and SQL, with experience working with relational databases, data warehouses, and ETL/ELT processes. * Familiarity with cloud data platforms such as Snowflake or BigQuery ...

Implement Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments. * Manage schema alignment, metadata tagging, and data governance to ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Design, build, and maintain robust ELT/ETL pipelines ingesting data into BigQuery. * Configure and extend Fivetran connectors ; develop custom connectors when required. * Develop and maintain dbt ...

Implement Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments. * Manage schema alignment, metadata tagging, and data governance to ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production. Primary Responsibilities ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production. Primary Responsibilities ...

Familiarity with SQL, Python, or other analytical tools used for data extraction and transformation * (Basic competency is acceptable; willingness to learn is essential.) * Ability to communicate ...

Familiarity with SQL, Python, or other analytical tools used for data extraction and transformation * (Basic competency is acceptable; willingness to learn is essential.) * Ability to communicate ...

Analyst, Revenue

Miami, FL · On-site

$60 - $80/hr

Familiarity with SQL, Python, or other analytical tools used for data extraction and transformation * (Basic competency is acceptable; willingness to learn is essential.) * Ability to communicate ...

Shall implement Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments. * Shall manage schema alignment, metadata tagging, and data ...

* Focus on PowerBI, 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 ...

Construct ETL interfaces using SSIS to aggregate, cleanse and migrate data across enterprise-wide MDM, transactional database, and Data Warehousing systems using staged data processing techniques ...

Showing results 21-40

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.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Miami, FL • On-site, Remote

$35/hr

Temporary, Internship

Posted 6 days ago


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


What Stryker employees say

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