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Contract Data Integration Jobs in Indiana (NOW HIRING)

Booz Allen Hamilton

MuleSoft Architect

Indianapolis, IN · On-site

$99K - $225K/yr

Knowledge of API-led architecture, MuleSoft, identity, data contracts, system decomposition, and enterprise integration in regulated environments * Ability to design reusable APIs and integration ...

BC Forward

Data Engineer III

Indianapolis, IN · On-site

$62 - $68/hr

Contract - 6 months Pay Range: $62/hr $68/hr (W2) Job ID: 373650 About BCforward BCforward is a ... Design, implement, automate, and maintain large-scale enterprise ETL and data integration processes.

Denodo

The award‑winning Denodo Platform is the leading data integration, management, and delivery ... contracts. * Ability to present technical concepts and business solutions clearly through ...

Walker Transport

Sr. Engineer, Integration

Lafayette, IN

$100K - $134K/yr

... data retrieval in SQL Server environments. Build and manage API integrations using Boomi ... Conduct thorough code reviews, approve pull requests, and mentor contract developers to uphold ...

Pae

*This position is contingent upon contract award* Amentum is seeking an AI Modeling Specialist ... Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to ...

Agilent

$183K - $286K/yr

Define integration contracts between platform services, instruments, and enterprise systems, owning ... Experience integrating AI/ML inference services and data pipelines through governed integration ...

Pae

*This position is contingent upon contract award* Amentum is seeking an Assessment Integrator (SME ... Experience with cloud-based data integration. * Experience with building briefs summarizing data ...

Barbaricum

Crane Program Manager

Crane, IN · On-site

... integration, and lifecycle sustainment across mission-critical platforms. Responsibilities ... Ensure timely delivery of Contract Data Requirements Lists (CDRLs) and compliance with Service ...

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All JobsContract Data Integration JobsContract Data Integration Jobs in Indiana

Contract Data Integration information

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

AspectContract Data IntegrationData Analyst
Required SkillsData mapping, ETL processes, database managementData analysis, visualization, statistical skills
Work EnvironmentProject-based, technical teams, IT departmentsBusiness units, reporting teams, analytics departments
CertificationsETL tools, database certifications, data managementExcel, SQL, Tableau, statistical certifications

Contract Data Integration specialists focus on connecting and managing data flows between systems, emphasizing technical skills like ETL and database management. Data Analysts interpret data to generate insights, requiring analytical and visualization skills. While both roles work with data, their core functions and skill sets differ, making them distinct but complementary in data-driven organizations.

What is a Contract Data Integration specialist?

A Contract Data Integration specialist is a professional responsible for combining, transforming, and managing data from various contract management systems into a unified format. They work to ensure that data from different sources—such as procurement, legal, and vendor management platforms—can be seamlessly accessed, analyzed, and reported. The role typically involves using integration tools, APIs, and data mapping techniques to automate workflows and improve data accuracy. This helps organizations maintain compliance, streamline contract processes, and make data-driven decisions.

What are some common challenges faced by professionals in Contract Data Integration roles, and how can they be addressed?

Professionals in Contract Data Integration often encounter challenges such as consolidating data from diverse sources, ensuring data accuracy, and maintaining data confidentiality. Navigating different contract management systems and formats can be complex, requiring strong technical skills and attention to detail. Building effective communication channels with legal, procurement, and IT teams is crucial for successful integration projects. Staying updated on industry best practices and utilizing automation tools can help streamline processes and reduce errors.

What are the key skills and qualifications needed to thrive as a Contract Data Integration Specialist, and why are they important?

To thrive as a Contract Data Integration Specialist, you need strong data analysis skills, experience with data mapping, and knowledge of contract management processes, typically supported by a degree in information systems or a related field. Familiarity with data integration tools like Informatica, MuleSoft, or Microsoft SSIS, as well as experience with contract lifecycle management (CLM) systems, is commonly required. Attention to detail, problem-solving, and effective communication are important soft skills for coordinating with stakeholders and ensuring data accuracy. These skills are crucial for successfully merging contract data from multiple sources, minimizing errors, and supporting business decision-making.
What are the most commonly searched types of Data Integration jobs in Indiana? The most popular types of Data Integration jobs in Indiana are:
What are popular job titles related to Contract Data Integration jobs in Indiana? For Contract Data Integration jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Contract Data Integration jobs in Indiana look for? The top searched job categories for Contract Data Integration jobs in Indiana are:
What cities in Indiana are hiring for Contract Data Integration jobs? Cities in Indiana with the most Contract Data Integration job openings:
Contract Data Integration jobs near you
Data Platform Engineer

Data Platform Engineer

Jms Technical Solutions

Indianapolis, IN • On-site

$80 - $85/hr

Contractor

Posted 17 days ago

Job description

25th June, 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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