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Data Extraction Jobs in Indianapolis, IN (NOW HIRING)

Write complex SQL queries to extract and manipulate data from various databases, including cloud-based systems. Clean and transform source data to meet stakeholders' requirements, leveraging Azure ...

New

Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.) * Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Knowledge of database management and ETL (Extract, Transform, Load) processes. Familiarity with ...

Data Analyst

Indianapolis, IN · On-site

$75 - $95/hr

Analyze entity relationship diagrams, file specifications, and database models to develop detailed ETL mappings, Web API designs, and BI report specifications. * Perform data analysis, cleansing ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Build and validate ETL/data pipelines as needed to support modeling and experimentation workflows * Communicate modeling results, insights, and recommendations clearly to both technical and non ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Mentors other ETL Developers and Junior Data Engineers. Discovery, Design and Documentation (15%) * Creates and maintains documentation of data warehouse structures, data stores and end-to-end data ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Mentors other ETL Developers and Junior Data Engineers. Discovery, Design and Documentation (15%) * Creates and maintains documentation of data warehouse structures, data stores and end-to-end data ...

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

Essential Duties and Responsibilities Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources. Mine data from primary and ...

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Develop ETL/ELT processes with data validation, harmonization, auditability, data quality controls, and regulatory-compliant lineage from source to governed datasets. * Build AI-ready document ...

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Data Extraction information

See Indianapolis, IN salary details

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How much do data extraction jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data extraction in Indianapolis, IN is $26.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.44 and $29.80 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.

What are the most commonly searched types of Data Extraction jobs in Indianapolis, IN?

The most popular types of Data Extraction jobs in Indianapolis, IN are:

What are popular job titles related to Data Extraction jobs in Indianapolis, IN?

For Data Extraction jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Data Extraction jobs in Indianapolis, IN look for?

The top searched job categories for Data Extraction jobs in Indianapolis, IN are:

Infographic showing various Data Extraction job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $55,887 per year, or $26.9 per hour.

Mortgage Data Systems Integration Analyst - Carmel, IN

Indianapolis, IN • On-site

Agility360
Finance and Insurance • 51 - 200 employees

$90 - $120/hr

Other

Posted 9 days ago


Job description

Mortgage Data Systems Integration Analyst - Carmel, IN

Agility 360 is seeking a skilled Mortgage Data IntegrationAnalyst to support a strategic initiative for a client in Carmel, IN. This role focuses on integrating and mapping data from external real estate and mortgage platforms into our clients’ systems, ensuring complete accuracy, and reliability. The ideal candidate will have hands‑on experience with MSP (Black Knight) or ICE Mortgage Technology, strong SQL and integration skills, and the ability to bridge business requirements with technical execution. This role plays a key part in modernization of data infrastructure and enables scalable, high-quality data exchange across a large financial ecosystem.

ESSENTIAL JOB FUNCTIONS
  • Design, build, and maintain data integrations between external mortgage/real estate platforms and client’s systems
  • Perform data mapping, transformation, and validation to ensure 100% accuracy and completeness of data flows
  • Work with systems such as MSP (Black Knight) and/or ICE Mortgage Technology to extract, transform, and load servicing data
  • Develop and execute SQL queries, scripts, and data pipelines to support integration and reporting needs
  • Collaborate with business stakeholders to gather requirements and translate them into technical data mapping and integration logic
  • Identify, troubleshoot, and resolve data discrepancies, integration issues, and system errors
  • Partner with third‑party vendors to support connectivity and integration solutions
  • Ensure data integrity, consistency, and compliance across all systems and integrations
  • Support system enhancements, upgrades, and ongoing data infrastructure modernization initiatives
  • Document data mappings, workflows, and integration processes
  • Act as a liaison between business teams, technology teams, and external partners
EDUCATION / EXPERIENCE REQUIREMENTS
  • Bachelor’s degree in Computer Science, Information Systems, or a related field
  • 5+ years of experience in data integration, business systems analysis, or mortgage technology environments
  • Hands‑on experience with MSP (Black Knight) and/or ICE Mortgage Technology (Encompass/DNA)
  • Strong understanding of data mapping, ETL processes, and system integrations
  • Advanced SQL skills (data extraction, transformation, validation, performance tuning)
  • Working knowledge of .NET or similar programming languages (C#, etc.)
  • Familiarity with mortgage servicing or real estate system data structures
  • Proven ability to ensure high data accuracy and integrity in complex environments
  • Experience collaborating with vendors and cross‑functional stakeholders
  • Strong analytical, problem‑solving, and communication skills
ADDITIONAL DETAILS
  • Location: on‑site in Carmel, IN
  • Salary: Commensurate with experience.
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