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Data Extraction Jobs (NOW HIRING)

... MEDITECH Expanse Extraction Engineer to support a complex healthcare data migration and ... This role will be responsible for extracting data from MEDITECH Expanse, transforming the extracted ...

The role involves statistical modeling, data extraction, and the implementation of machine learning algorithms to derive insights from structured and unstructured datasets. Responsibilities : • ...

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

As a Data Engineer Lead, you will ensure data accuracy and reliability, manage data extraction and cleansing processes, and guide critical business decisions to drive growth. Responsibilities : • ...

They are seeking a Data Scientist to work on data extraction, processing, and applying machine learning techniques to large datasets. The role requires strong programming skills and the ability to ...

Extract, clean, transform, and model data from multiple sources. Automate data extraction and transformation processes to improve efficiency. Build and maintain Power Apps and Power Automate ...

... data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. • Proficiency in statistical analysis and hypothesis ...

Extract, clean, transform, and model data from multiple sources. Automate data extraction and transformation processes to improve efficiency. Build and maintain Power Apps and Power Automate ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Responsibilities : • IT experience in Design, Development, and implementation of large scale and medium scale. • Data Warehousing applications using ETL tool IBM Infosphere Information server ...

ETL Data Engineer

Reston, VA · On-site

$121K - $145K/yr

Developing, maintaining, and executing data extraction pipelines to transport data in and out of multiple environments. * ETL Development and Data Cleansing: Engineering Python-based ETL pipelines to ...

Showing results 21-40

Data Extraction information

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How much do data extraction jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data extraction in the United States is $28.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $31.25 per hour, depending on experience, location, and employer.

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.
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Cities with the most Data Extraction job openings:

What are the most commonly searched types of Data Extraction jobs?

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What states have the most Data Extraction jobs?

States with the most job openings for Data Extraction jobs include:

Infographic showing various Data Extraction job openings in the United States as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,613 per year, or $28.2 per hour.

MEDITECH Expanse Extraction Engineer

e4health

Remote

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Job Type
Contract
Description
At e4health, we Empower Better Health. The e4health Team is on a relentless mission to care for those teams who care for others. We bring our passion, ingenuity, and expertise to every engagement. In joining our Team, we want your help to provide our customers with powerful solutions in the pursuit of quality, integrity, clinical and financial value across healthcare.
Our People make the difference. Serving more than 400 hospitals and health systems nationwide for nearly two decades, e4health provides solutions to tackle the toughest problems in healthcare with unmatched technology, mid-revenue cycle, and operational expertise. e4health solutions streamline clinical, financial, and health information data and workflows, optimize coding, quality, and clinical documentation integrity processes, and address health IT operational challenges to deliver material results for healthcare organizations across the country. Learn more about us at www.e4.health .
e4health is seeking an experienced MEDITECH Expanse Extraction Engineer to support a complex healthcare data migration and interoperability initiative. This role will be responsible for extracting data from MEDITECH Expanse, transforming the extracted data into standardized HL7 formats, and preparing the resulting data for downstream integration, migration, and validation activities.
The ideal candidate will have strong hands-on experience with MEDITECH Expanse data structures and extraction processes, healthcare interoperability standards, HL7 messaging, data transformation, and healthcare data migration. This individual will work closely with data conversion, integration, clinical, and technical teams to ensure accurate, complete, and reliable data is extracted and transformed for use in target systems.
Key Responsibilities
• Extract clinical, financial, demographic, and other healthcare data from MEDITECH Expanse based on defined migration and integration requirements.
• Develop and execute data extraction processes from MEDITECH Expanse and associated databases, repositories, interfaces, and reporting environments.
• Analyze MEDITECH Expanse data structures, fields, tables, files, and relationships to determine appropriate extraction methodologies.
• Transform extracted MEDITECH data into HL7-compliant messages and structures for downstream integration and migration.
• Develop mapping and transformation logic between MEDITECH Expanse source data and HL7 segments, fields, and data elements.
• Work with HL7 standards including, as applicable, ADT, ORM, ORU, MDM, SIU, DFT, and other message types.
• Develop, test, and troubleshoot data transformation routines and HL7 message generation processes.
• Validate extracted and transformed data for accuracy, completeness, consistency, and adherence to defined specifications.
• Perform data profiling and identify missing, invalid, inconsistent, or duplicate data.
• Collaborate with integration engineers to ensure HL7 output is compatible with downstream systems, interfaces, and integration engines.
• Partner with data conversion and migration teams to support source-to-target mapping and data reconciliation.
• Troubleshoot extraction, transformation, mapping, and HL7 formatting issues.
• Support unit testing, system/integration testing, mock conversions, parallel validation, and production migration activities.
• Develop and maintain technical documentation for extraction processes, transformation logic, mappings, data structures, and HL7 specifications.
• Assist with data quality remediation and resolution of source-system data issues identified during conversion and validation.
• Ensure extraction and transformation processes follow healthcare data security, privacy, and compliance requirements.
Requirements
• 5+ years of experience working with healthcare data extraction, integration, conversion, or migration.
• Hands-on experience with MEDITECH Expanse data extraction and/or MEDITECH data structures.
• Strong understanding of HL7 v2.x standards and healthcare interoperability.
• Demonstrated experience creating, transforming, parsing, or validating HL7 messages.
• Experience with healthcare data mapping and source-to-target transformation.
• Direct experience supporting a MEDITECH Expanse data migration or conversion project.
• Experience extracting data from MEDITECH Expanse for migration to another EHR, including Epic, Oracle Health/Cerner, or other enterprise platforms.
• Experience with MEDITECH Expanse APIs, databases, reporting tools, interfaces, or other available extraction mechanisms.
• Experience with HL7 interface engines such as Mirth Connect, Rhapsody, Cloverleaf, Corepoint, or InterSystems.
• Strong SQL skills and experience querying relational databases and/or healthcare data repositories.
• Experience with data extraction, ETL, transformation, reconciliation, and validation processes.
• Understanding of healthcare data domains including patient demographics, encounters, orders, results, clinical documentation, diagnoses, procedures, and financial information.
• Strong analytical and problem-solving skills.
• Ability to work independently while collaborating with technical, clinical, integration, and project teams.
Preferred Qualifications
• Experience with scripting or programming languages such as Python, Java, PowerShell, or similar.
• Experience with ETL tools and data transformation frameworks.
• Familiarity with healthcare interoperability standards beyond HL7, including FHIR, CDA/CCD, and XML/JSON.
• Experience with MPI/eMPI, patient identity, clinical data conversion, and healthcare data quality.
• Experience supporting large-scale EHR implementations, migrations, or legacy-system decommissioning.
• Familiarity with HIPAA and healthcare data security requirements.
• ORM
• MDM
• SIU
• DFT
• HL7 mapping and message transformation
• Interface troubleshooting
Additional information:
401(k) ELIGIBILITY
e4health offers a retirement benefits package including 401(k) with company match.
• Full-time employees will be eligible to contribute to a 401(k)-retirement account after successfully completing 90 days of employment.
• Part-time employees will be eligible to contribute to a 401(k)-retirement account after completing 250 hours of worktime.
The items listed below pertain to Full-Time Employees only
BENEFITS:
We offer an excellent salary, full benefits package including 401(k) with company match, medical, dental, vision, life, short/long term disability insurance, and PTO policy.
PHYSICAL DEMANDS OF THE ESSENTIAL FUNCTIONS:
Sitting, talking, hearing and near vision are required over 90% of the time. Feeling is required over 90% of the time and reaching is required about 50% of the time. The ability to travel to field sites may be required up to 15% of the time.
WORKING CONDITIONS WHILE PERFORMING ESSENTIAL FUNCTIONS:
Over 90% of the time is spent indoors, with protection from weather conditions. Exposure to noise levels that may be distracting or uncomfortable is present in only unusual situations.
PAY RANGE
Pay for this position is $85/hr.
e4health is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
At our organization, we believe in the principles of pay transparency to foster a fair and equitable workplace for all employees. In alignment with this commitment, we openly communicate salary ranges, bonus structures, and additional financial benefits associated with each position. We believe that transparency in compensation not only promotes trust and accountability but also helps mitigate wage gaps and biases. By providing clear and comprehensive information about compensation in our job descriptions, we aim to create a transparent and inclusive environment where all employees feel valued and respected. Join us in building a culture of fairness and transparency as we strive for excellence together.

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About e4health

Sourced by ZipRecruiter

Industry

Health care and social assistance

Company size

501 - 1,000 Employees

Headquarters location

Wyomissing, PA, US

Year founded

2004