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Data Infrastructure Analyst Jobs in Indiana (NOW HIRING)

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

... analysis (nice to have) * Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have) * Exposure to spatial data infrastructure (GeoServer, MapServer ...

USA Donaldson Company Inc.

Data Engineer Sr.

Bloomington, IN · On-site

$99K - $120K/yr

Working closely with Data Scientists, Business/Data Analysts, and business stakeholders, the Data Integration Engineer will develop and maintain the data infrastructure, pipelines, and integrations ...

New

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Data Engineer on our Finance & Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our ...

AAA Hoosier Motor Club

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Analytics team, you will build and maintain the cloud data infrastructure that powers reporting and insights across the organization. Working closely with our analysts and reporting directly to the ...

Prophecy Technologies

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The ideal candidate brings deep technical experience, strong analytical skills, and cross ... Build robust data infrastructure on cloud platforms such as Azure Fabric, Synapse, Databricks, and ...

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

Data Analyst Full Time Odon, IN, US 1 Attachments 8 days ago Requisition ID: 1085 Position Overview ... methods * Assist in infrastructure and systems assessments * Support predictive modeling ...

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

Bachelor's degree in Data Analytics, Information Systems, Business, Engineering, or related field ... methods * Assist in infrastructure and systems assessments * Support predictive modeling ...

Cummins

Data Modeler

Indianapolis, IN · Remote

$52.25 - $67.75/hr

Drive automation and modernization of data infrastructure and integration processes to support agile analytics initiatives. Cummins is an equal opportunity employer. Our policy is to provide equal ...

DwyerOmega

Director, Data Engineering

Michigan City, IN · On-site

$165K/yr

Define and execute a data infrastructure roadmap centered on a Lakehouse architecture that integrates structured and unstructured data, enabling both real-time operational analytics and high-scale AI ...

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Data Infrastructure Analyst information

What is a data infrastructure analyst?

Data Infrastructure Analysts are professionals who design, maintain, and optimize the systems and architecture that store, process, and manage an organization's data. They work with databases, data warehouses, and cloud storage solutions to ensure data is accessible, reliable, and secure. Their role often involves collaborating with data engineers, IT teams, and business analysts to support data-driven decision-making. Data Infrastructure Analysts also monitor system performance, troubleshoot issues, and recommend improvements to enhance data management processes.

What are the key skills and qualifications needed to thrive as a data infrastructure analyst?

To thrive as a Data Infrastructure Analyst, you need a solid background in database management, data modeling, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with SQL, ETL tools, cloud platforms (such as AWS or Azure), and certifications like AWS Certified Data Analytics or Google Cloud Data Engineer are commonly required. Strong problem-solving abilities, attention to detail, and effective communication help analysts collaborate across technical and business teams. These skills are crucial for ensuring robust, scalable data systems that support organizational decision-making and operational efficiency.

What are some common challenges data infrastructure analysts face when managing large-scale data systems?

Data Infrastructure Analysts frequently encounter challenges such as ensuring data integrity across distributed systems, optimizing data pipelines for performance, and maintaining system scalability as data volumes grow. Balancing security requirements with accessibility, especially in environments with sensitive information, is also a key concern. Additionally, collaborating with data engineers, database administrators, and business teams to align infrastructure with organizational goals requires strong communication and adaptability.

What is the difference between Data Infrastructure Analyst vs Data Engineer?

AspectData Infrastructure AnalystData Engineer
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's or higher in Computer Science, Software Engineering; certifications like AWS Certified Data Analytics
Work EnvironmentCorporate offices, data centers, cloud platformsDevelopment environments, cloud platforms, data pipelines
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, finance, e-commerce, large enterprises
Common Search & ComparisonYesYes

The Data Infrastructure Analyst focuses on maintaining and optimizing existing data systems, ensuring data accessibility and quality. In contrast, Data Engineers design, build, and implement data pipelines and infrastructure from scratch. Both roles require similar credentials and often work in overlapping environments, but their core responsibilities differ in scope and focus.

Data Infrastructure Analyst jobs near you

Mortgage Data Systems Integration Analyst - Carmel, IN

Indianapolis, IN • On-site

Agility360
Finance and Insurance • 51 - 200 employees
Learn more about Agility360external

$100 - $125/hr

Other

This job post has expired today. Applications are no longer accepted.

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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