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Contract Data Transformation Analyst Jobs in Indiana

campus4tech

Data Analyst

Indianapolis, IN · On-site

Hybrid Contract Duration: 11 Months Note: W2 and C2C candidates can apply Note: Candidate must be ... with data queries and transformations (including cleansing and standardizing) with SQL. • ...

Hylant

Lead Data & Analytics Architect

Indianapolis, IN · On-site

Establish architectural patterns and standards for data ingestion, transformation, storage, governance, and analytics consumption. * Establish and enforce data governance frameworks, standards, and ...

Hylant

Lead Data & Analytics Architect

Fort Wayne, IN · On-site

Establish architectural patterns and standards for data ingestion, transformation, storage, governance, and analytics consumption. * Establish and enforce data governance frameworks, standards, and ...

CYNET SYSTEMS

Dispute Research Analyst

Indianapolis, IN · On-site

$35/hr

Research and analyze pricing and contract data. * Partner with key stakeholders, including the Strategic Deal Team, Corporate Credit, Master Data, and Order Fulfillment, to rectify disputed invoices.

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

What You'll Do You will contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets across our Azure platform. * Design, implement, and ...

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

What You'll Do You will contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets across our Azure platform. * Design, implement, and ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

What You'll Do You will contribute directly to the design and implementation of data pipelines, transformations, and analytics-ready datasets across our Azure platform. * Design, implement, and ...

CSpring

Data Analyst

Indianapolis, IN

Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

CSpring

Data Analyst

Indianapolis, IN · On-site

Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

CSpring

Data Analyst

Indianapolis, IN · On-site

Mission-Driven Work - Support the transformation of rural healthcare across Indiana through a ... Analyze, document, and validate program operational needs, reporting requirements, and data ...

blueStone

Sr. Business Analyst

Indianapolis, IN

$88K - $114K/yr

Minimum of 4 years in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation. * Proven ability to work independently through ...

NAVA Software Solutions

Sr Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

Must be highly analytical and have the proven ability to develop and reverse complex engineering ... Solid understanding of ETL strategies and design, (staging environments, data transformation ...

Masco Corporation

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... analytics environments • Develop and manage end-to-end data workflows from ingestion through transformation to consumption • Create and maintain feature-ready datasets to support statistical ...

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All JobsContract Data Transformation Analyst JobsContract Data Transformation Analyst Jobs in Indiana

Contract Data Transformation Analyst information

What is the difference between Contract Data Transformation Analyst vs Data Analyst?

AspectContract Data Transformation AnalystData Analyst
Required CredentialsTypically a bachelor’s degree in IT, Computer Science, or related field; certifications like Microsoft Certified Data Analyst are commonBachelor’s degree in Data Science, Statistics, or related field; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentProject-based, often within IT or consulting firms, focusing on data migration and transformation projectsVarious industries, working with data collection, analysis, and reporting in office settings
Employer & Industry UsageUsed by companies needing data migration, transformation, or integration, especially in finance, healthcare, and techWidely used across industries for data analysis, reporting, and business intelligence

The Contract Data Transformation Analyst primarily focuses on transforming and migrating data within IT projects, often on a contract basis, while Data Analysts analyze and interpret data to support business decisions. Both roles require similar technical skills and certifications but differ in their core responsibilities and work environments.

What are the most commonly searched types of Data Transformation Analyst jobs in Indiana? The most popular types of Data Transformation Analyst jobs in Indiana are:
What are popular job titles related to Contract Data Transformation Analyst jobs in Indiana? For Contract Data Transformation Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Contract Data Transformation Analyst jobs in Indiana look for? The top searched job categories for Contract Data Transformation Analyst jobs in Indiana are:
What cities in Indiana are hiring for Contract Data Transformation Analyst jobs? Cities in Indiana with the most Contract Data Transformation Analyst job openings:
Contract Data Transformation Analyst jobs near you
Infographic showing various Contract Data Transformation Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Platform Engineer

Jms Technical Solutions

Indianapolis, IN • On-site

$80 - $85/hr

Contractor

Re-posted 15 days ago

Job description

04th August, 2026
Our client in Indianapolis, IN, is looking for a contract Data Platform Engineer to join their team!
This is a hybrid/full-time/12-month contract position
Hourly range based on experience: $80-$85/HR
Our client is looking for a Data Platform Engineer to help us support their continued growth. The Data Platform Engineer is responsible for building, implementing, and maintaining technical solutions that align with best-practice standards and client needs. Working closely with Data Architects, they provide technical execution and development support within Salesforce.com and other SaaS applications to support business and product strategies, with a heavy emphasis on maximizing the Salesforce Data 360 (D360) ecosystem.
A Data Platform Engineer participates in discovery sessions to understand client processes and challenges, translating documented solution designs into functional technical requirements and production-ready implementations. They provide collaborative execution and clear communication to the project and client team members to build a foundation for a trusted technical partnership.
Role Responsibilities:
  • Data Architecture & Infrastructure Implementation
    • Enterprise D360 Harmonization: Implement and maintain data structures that align with business needs, leveraging Salesforce Data 360 (D360) capabilities for unified profile management, data democratization, and real-time activation.
    • Modern Cloud Integration: Build and deploy data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the Salesforce ecosystem to address specific business needs, such as Business Intelligence (BI), ETL/ELT, and AI/ML initiatives.
    • Legacy Migration: Execute the migration, ingestion, and mapping of customer data from legacy systems and siloed databases into the Salesforce D360 platform.
    • Governance & Trust: Configure and maintain data accessibility, data privacy, granular security controls, and compliance with relevant regulations (e.g., GDPR, CCPA) and industry standards within the customer data ecosystem.
  • Data Modeling & Pipeline Engineering:
    • Ingestion & Streaming Pipelines: Develop, deploy, and maintain real-time streaming and batch data pipelines for ingesting, transforming, and loading high-volume enterprise data into Salesforce D360 from various cloud sources and APIs.
    • D360 Identity Resolution: Build and support scalable data models and metadata architectures within Salesforce D360, implementing identity resolution rules, reconciliation rules, and unified data graphs as designed.
    • Performance Optimization: Monitor, troubleshoot, and optimize query performance, calculated insights, identity resolution runs, and data transformation processes within the Salesforce D360 and underlying lakehouse environments.
  • Technical Execution and Collaboration:
    • Cross-Functional Collaboration: Collaborate actively with key stakeholders-including business users, data engineers, data scientists, and CRM IT teams-to understand technical specifications and deliver unified data solutions.
    • Ecosystem Implementation: Help evaluate, test, and integrate appropriate tools, connectors, and zero-copy/Zero-Data-Movement technologies for seamless data integration, transformation, and activation within the Salesforce D360 ecosystem.
    • Technical Guidance: Provide development-level support, code reviews, and best-practice engineering guidance to data engineering and CRM development teams.

Experience/Skills Required:
  • Experience: 3+ years of experience in data engineering, technical consulting, or database development for cloud data platforms with multiple enterprise workstreams.
  • Salesforce D360 (Data Cloud) Capabilities: Strong working knowledge of the data cloud architecture, including data models (DMOS, DSOs), identity resolution, data spaces, calculated insights, and activation targets.
  • Modern Data Methods: Familiarity and alignment with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation.
  • Broad Data Ecosystem Experience: Hands-on experience with enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles.
  • Strong Communication: Excellent verbal and presentation abilities, capable of effectively communicating technical engineering concepts and data updates to stakeholders and team members.
  • Technical Tooling & Development: Strong proficiency with data-centric programming languages (such as SQL and Python) as well as Salesforce application development components (Apex, Flow, LWCs, MuleSoft).
  • Engineering Patterns: Solid understanding of enterprise architecture patterns, API management, and real-time data streaming technologies (e.g., Kafka, Amazon Kinesis).
  • Structured Data Modeling: Practical experience with data modeling methodologies (such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures) and mapping them into a canonical Customer 360 model.
  • US Authorization: Must have full-time permanent US work authorization.

Additional Preferred Experience/Skills:
  • Bachelor's Degree preferred, or equivalent experience.
  • Salesforce Certified Data Cloud Consultant or Accredited Professional designations.
  • Hands-on experience with core Salesforce CRM technology like Sales Cloud, Service Cloud, or Industry Clouds (e.g., Financial Services Cloud, Health Cloud).
  • Hands-on experience deploying AI/ML solutions like Salesforce Einstein, AWS Sagemaker, or Google Vertex AI, alongside a solid understanding of Generative AI patterns (e.g., Retrieval-Augmented Generation / RAG).
  • Experience designing data architectures on cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Hands-on expertise with analytics and visualization tools like Tableau, CRM Analytics, Power BI, or Looker.
  • Open to travel based on client and business demands.

We are an equal-opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

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