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Data Extraction Jobs in Texas (NOW HIRING)

MPOWERHealth

Sr. Data Engineer

Addison, TX · Hybrid

$102K - $139K/yr

... complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high reliability and performance. • Orchestrate pipelines that leverage AI/LLMs for data ...

MPOWERHealth

Sr. Data Engineer

Addison, TX · On-site

$102K - $139K/yr

... complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high reliability and performance. • Orchestrate pipelines that leverage AI/LLMs for data ...

MPOWERHealth

Sr. Data Engineer

Addison, TX · Hybrid

$102K - $139K/yr

... complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high reliability and performance. • Orchestrate pipelines that leverage AI/LLMs for data ...

TekVivid

Data Analyst SME 8+

Coppell, TX · On-site

Design and optimize SQL queries for efficient data extraction and reporting. * Present findings and insights to technical and non-technical audiences. * Support data governance, data quality, and ...

Lorven Technologies

Systems Analyst 3

Austin, TX · On-site

... for data extraction, reporting, and analytics solutions. 3. Design, develop, test, optimize, and maintain Cerner Command Language (CCL) scripts within Cerner Millennium environments. 4. Perform ...

Yochana

ETL, Test Data Lead

San Antonio, TX · On-site

... data extraction (flat files, RDBMS, mainframes, etc.) o Data transformations via mappings (joins, lookups, aggregations, filters, etc.) o Load strategies to staging/ODS layers (insert/update ...

JConnect Infotech

Cloud Data Engineer

Dallas, TX · On-site

... and Extract Transform Load (ETL) services • Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion • Experience with Artificial Intelligence (AI ...

Srinav Inc.

Senior Data Architect Legal Technology

Austin, TX · On-site

$66.75 - $89.25/hr

Design and develop scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data architectures to support enterprise reporting and AI initiatives. Advanced SQL and Python skills for ...

New

System One

Business Data Analyst

Plano, TX · On-site

$42/hr

Write, optimize, and maintain complex SQL queries to extract, manipulate, and analyze data from various database sources. * Ensure the reliability, consistency, and accuracy of all data outputs by ...

System One

Business Data Analyst

Plano, TX · On-site

$42/hr

Write, optimize, and maintain complex SQL queries to extract, manipulate, and analyze data from various database sources. * Ensure the reliability, consistency, and accuracy of all data outputs by ...

Paychex

Data Solutions Engineer

Irving, TX · On-site

$106K - $127K/yr

Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud operations • Build and optimize data pipelines to support data extraction, transformation, and ...

City of Georgetown, TX

IT Architect - Data Architect

Loop, TX · On-site

$62 - $79.75/hr

Data extraction to create reports for insights into business operations and performance. * Other duties as assigned. Data/Analytics Architect: Models and designs warehouses/lakes, builds pipelines ...

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All JobsData Extraction JobsData Extraction Jobs in Texas

Data Extraction information

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.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, 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.

What is a Data Extraction job?

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 is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are the most commonly searched types of Data Extraction jobs in Texas? The most popular types of Data Extraction jobs in Texas are:
What are popular job titles related to Data Extraction jobs in Texas? For Data Extraction jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Texas look for? The top searched job categories for Data Extraction jobs in Texas are:
What cities in Texas are hiring for Data Extraction jobs? Cities in Texas with the most Data Extraction job openings:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Texas as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sr. Data Engineer

Sr. Data Engineer

MPOWERHealth

Addison, TX • Hybrid

$102K - $139K/yr

Full-time

Posted 21 days ago

Job description

The Senior Data Engineer will play a lead role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data solutions, mentoring junior engineers,and collaborating across different functions to ensure strategic data initiatives are delivered efficiently and effectively. This individual will have a strong track record in architecting and building robust Data Warehouses using Microsoft SQL Server and Azure technologies.

Strong expertise in healthcare data domains is highly preferred.

NOTE: THIS IS A HYBRID ROLE. MUST BE WILLING TO COMMUTE TO THE ADDISON, TX.  OFFICE 3 DAYS PER WEEK!



PRIMARY DUTIES


• Lead the integration of data from Clinical/Healthcare Practice Management Systems, Electronic Medical Record
Systems (EMRs), HR systems, Accounting, Customer Relationship Management systems (CRM), and other
enterprise systems.
• Architect and oversee the development of scalable data platforms and database architectures supporting
multiple business lines.
• Design and optimize complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python,
ensuring high reliability and performance.
• Orchestrate pipelines that leverage AI/LLMs for data extraction from various documents and sources.
• Drive initiatives to capture all necessary data and orchestrate the development of sustainable enterprise-grade
databases.
• Conduct advanced data profiling, cleansing, and transformation for analytics and reporting teams.
• Drive implementation of Master Data Management (MDM) strategies to ensure data consistency and integrity.
• Identify process improvement opportunities and spearhead automation to reduce delivery time and increase
quality.
• Establish and maintain comprehensive data lineage, monitoring, and operational tracking systems.
• Provide hands-on support while mentoring junior engineers and contributing to a culture of knowledge sharing
and continuous improvement.
• Collaborate closely with stakeholders to gather evolving data requirements and translate them into scalable
technical solutions.
• Maintain high standards for code quality through documentation, source control, code reviews, and rigorous
testing practices.
• Identify integration gaps, recommend solutions, and ensure continuous improvement of data processes.
• Establish and enforce best practices for data engineering and integration across the team.
• Explore and evaluate emerging Azure features, leading proofs of concept to assess fit for purpose.


MINIMUM QUALIFICATIONS AND REQUIREMENTS


• 7+ years of experience in database and ETL development roles.
• 4+ years of deep hands-on experience with Azure Data Factory (ADF).
• 3+ years of experience with healthcare and/or financial data or other highly regulated vertical segments.
• 2+ years of experience using python
• Strong working knowledge of Azure ecosystem tools.
• Advanced proficiency in T-SQL and SQL Server.
• Strong grasp of data modeling, indexing, and schema design principles.
• Proven ability to manage multiple priorities and drive solutions from conception to production.
• Effective collaborator and communicator, capable of interfacing with all stakeholders.
• Bachelor's degree or higher.


PREFERRED EXPERIENCE


• Experience working with data integration related to Healthcare EDI files, such as 835, 837, etc.
• Experience working on data extraction from documents using AI/LLMs.


NOTE: This position follows a hybrid work model with a minimum of 3 days per week in our Addison, TX office.

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