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Contract Talend Data Integration Jobs in Indiana

Major Tool & Machine

AI Engineer

Indianapolis, IN · On-site

... data retention standards, and lineage requirements. * Design solutions that integrate various ... II. Today, MTM is a contract manufacturer in Indianapolis, Indiana with a 600,000+ sq ft ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

... data retention standards, and lineage requirements. * Design solutions that integrate various ... II. Today, MTM is a contract manufacturer in Indianapolis, Indiana with a 600,000+ sq ft ...

Arka Infotech Inc

ODI Developer

Indianapolis, IN · On-site

ODI Developer 2-3 month contract Indianapolis, IN 08/31/2015 I am looking for a strong Oracle Data Integrator developer with expertise in OBIEE and OBIA. Must have expertise with ETL design ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Write programs to cleanse and integrate structured and unstructured data in an efficient and ... This position description is not an employment contract, implied or otherwise. The employment ...

Brotherhood Mutual

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Write programs to cleanse and integrate structured and unstructured data in an efficient and ... This position description is not an employment contract, implied or otherwise. The employment ...

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Contract Talend Data Integration information

What is a Contract Talend Data Integration specialist?

A Contract Talend Data Integration specialist is a professional hired on a temporary or project basis to design, develop, and manage data integration solutions using Talend software. They are responsible for extracting, transforming, and loading (ETL) data from various sources to ensure seamless data flow within an organization. These specialists work with stakeholders to meet specific data requirements, maintain data quality, and optimize integration processes. Their expertise helps businesses consolidate data for analytics, reporting, and decision-making. Contract roles typically offer flexibility and are focused on delivering results within a defined timeframe.

What are some common challenges faced by Contract Talend Data Integration professionals when working with client data environments?

Contract Talend Data Integration professionals often encounter challenges such as adapting to diverse data infrastructures, managing data quality issues, and ensuring seamless integration with existing client systems. Since each client may have unique data sources, legacy applications, or security protocols, quickly understanding and navigating these environments is crucial. Additionally, contractors must communicate effectively with both IT teams and business stakeholders to clarify requirements and resolve integration issues promptly. Staying organized and maintaining clear documentation can help manage these complexities and deliver successful data integration projects.

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

To thrive as a Contract Talend Data Integration specialist, you need expertise in ETL processes, data modeling, and strong proficiency with Talend Data Integration tools, often supported by a degree in computer science or a related field. Familiarity with databases (like SQL Server, Oracle), cloud platforms, and Talend certification are typically expected. Problem-solving, attention to detail, and effective communication are vital soft skills for collaborating across business and technical teams. These skills ensure efficient, accurate data integration and seamless project delivery in complex data environments.

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For Contract Talend Data Integration jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Contract Talend Data Integration jobs in Indiana are:

What cities in Indiana are hiring for Contract Talend Data Integration jobs?

Cities in Indiana with the most Contract Talend Data Integration job openings:

Infographic showing various Contract Talend Data Integration job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Director, Product Management - Data Intelligence Foundation

Indianapolis, IN • On-site

Relativity
See more jobs at Relativityexternal

Other

Re-posted 7 days ago

Key responsibilities

  • Own the full product management layer across multiple engineering organizations for the Data Intelligence Foundation, including defining and managing data primitives such as Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane.

  • Drive the development and roadmap of the foundational data layer to ensure it supports AI applications, legal data reasoning, and reliable data retrieval.

  • Establish and oversee organizational cadence, planning, and decision-making processes to enable the product team to operate efficiently and align priorities.

Job description

Posting Type

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.
The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.
The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and Requirements

Whatyou'llown

The full PM layer across multiple engineering orgs:

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structuredetermineshow easily the organization can navigate between "slow data" and "fast data" use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodesmeaning:what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ yearsleading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.

  • Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain

  • Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience

Preferred qualifications

  • Experience building at companies where the data platform is the product, not a supporting system.Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.

  • Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a humandoesn't, and you design for both.

Ways of working

  • Engineering credibility is paramount.You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.You need to be a peer in those conversations, not a relay.

  • Organizational cadence.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.

  • Internal GTM ownership.Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.

  • Coaching a scaling PM org.You build PM capability, not just PM headcount, leveling people up while running at speed.

  • Cross-functional influence without authority.Youdon'tcontrol the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.

  • Directional clarity under ambiguity.Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them whenrequired.

  • Legal domain expertise is notrequired.However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$188,000 and $282,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

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