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Vector Pipeline Jobs in Indiana (NOW HIRING)

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Microsoft Azure Fabric (Lakehouse, Data Factory, Delta Lake), Python / PySpark, ETL/ELT Pipeline Development, PostgreSQL & SQL, REST APIs & OAuth, Azure OpenAI, RAG & Vector Search. * Document ...

Google AI Lead Architect

Indianapolis, IN · On-site

$52.75 - $72.50/hr

... BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs ...

... vector/hybrid search) with enterprise governance controls. * 2+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and ...

Implement retrieval-augmented generation (RAG) pipelines using Delta Lake, Unity Catalog, and Databricks Vector Search. * Build custom Copilot connectors and plugins (Graph APIs, Power Automate ...

Microsoft Fabric Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Design, build, and maintain data pipelines that integrate laboratory, quality, design, and partner ... vector databases, and retrieval-augmented generation (RAG) using Azure OpenAI, OpenAI, Claude, or ...

Data Engineer

Austin, IN · On-site

$135K - $155K/yr

... vector stores, and knowledge bases that support AI and LLM use cases * Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training ...

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Vector Pipeline information

See Indiana salary details

$91.3K

$132.5K

$159.4K

How much do vector pipeline jobs pay per year?

As of Aug 7, 2026, the average yearly pay for vector pipeline in Indiana is $132,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,800.00 and $158,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the vector pipeline position?

To excel in a Vector Pipeline role, candidates typically need a strong background in computer graphics, 3D pipeline development, and programming languages such as Python or C++. Familiarity with industry-standard tools like Autodesk Maya, Houdini, and version control systems is frequently required, along with knowledge of data formats and real-time rendering engines. Strong problem-solving skills, communication, and the ability to collaborate with multidisciplinary teams are invaluable soft skills. These capabilities enable efficient development and maintenance of art asset pipelines, ensuring smooth workflows for artists and technical teams in industries such as animation, gaming, or visual effects.

What is a vector pipeline?

A Vector Pipeline job typically involves managing the flow of vector data in computing processes, often related to graphics rendering, machine learning, or high-performance computing. This role focuses on optimizing how vectorized data is processed through parallel computing techniques, ensuring efficiency and speed. Professionals in this field work with specialized hardware, software frameworks, and algorithms to enhance computational performance.

What are the main responsibilities of a vector pipeline specialist?

A Vector Pipeline specialist is primarily responsible for developing, managing, and optimizing the processes that move graphical assets through different stages of a production. This includes creating scripts and tools to automate repetitive tasks, ensuring compatibility between software packages, and addressing technical issues that arise in the art pipeline. They frequently collaborate with artists, animators, and developers to streamline workflows and improve efficiency. In larger teams, they may also participate in planning meetings and help train other team members on pipeline tools and best practices. This multifaceted role is central to keeping projects on schedule and facilitating smooth creative collaboration.

What are popular job titles related to Vector Pipeline jobs in Indiana? For Vector Pipeline jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Vector Pipeline jobs in Indiana look for? The top searched job categories for Vector Pipeline jobs in Indiana are:
Infographic showing various Vector Pipeline job openings in Indiana as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $132,478 per year, or $63.7 per hour.

DDCS Data Engineer

Coforge

Indianapolis, IN • On-site

$109K - $131K/yr

Other

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


Coforge rating

6.8

Company rating: 6.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

163rd of 223 rated it services


Job description

Job Title: DDCS Data Engineer

Key Skills: Delivery, Devices, and Connected Solutions (DDCS), Microsoft Azure Fabric (Lakehouse, Data Factory, Fabric Pipelines), Delta Lake, Azure Data Factory, Azure Blob Storage, Azure Functions, Azure AI Services, Azure RBAC, Managed Identities, Key Vault.

Experience: 8-10 Years’ experience

Location: Indiana Polis, Indiana


We at Coforge are hiring experienced professionals with strong experience in Azure Fabric-based data pipelines, API integrations, AI/RAG document ingestion solutions, and PostgreSQL data platforms to support Lilly's regulated data and AI ecosystem.


Key Responsibilities:

  • Design, build, and maintain data ingestion pipelines using Microsoft Azure Fabric Lakehouse and PostgreSQL.
  • Develop ETL/ELT pipelines with data validation, quality checks, audit trails, and controlled data governance.
  • Build MCP connectors and AI-powered document ingestion pipelines for SharePoint, OneDrive, Veeva, Jama, and other document sources.
  • Implement RAG (Retrieval-Augmented Generation) solutions using document chunking, embeddings, vector databases, and LLMs.
  • Develop REST API integrations with OAuth authentication, pagination, schema management, and error handling.
  • Create OCR-based document processing pipelines for scanned and handwritten PDFs using Azure AI Document Intelligence or similar tools.
  • Build and manage data solutions on Azure Fabric, including Fabric Data Factory, Lakehouse, Delta Lake, and Fabric Pipelines.
  • Develop and support AWS-based data integrations using S3, Lambda, API Gateway, Glue, and RDS/Aurora.
  • Design and implement PostgreSQL Gold-layer schemas, data models, lineage tracking, and governance frameworks.
  • Develop production-grade solutions using Python, PySpark, Docker, CI/CD, and Git.
  • Implement data quality monitoring, operational alerting, and pipeline documentation.
  • Integrate Azure OpenAI/LLM APIs into enterprise AI search and knowledge retrieval solutions.
  • Ensure compliance with GxP, ALCOA+, 21 CFR Part 11, and enterprise security standards.
  • Collaborate with architects and stakeholders on schema evolution, data modeling, and platform scalability.


Required Skills & Experience

  • Microsoft Azure Fabric (Lakehouse, Data Factory, Delta Lake), Python / PySpark, ETL/ELT Pipeline Development, PostgreSQL & SQL, REST APIs & OAuth, Azure OpenAI, RAG & Vector Search.
  • Document Ingestion, OCR & AI Search, Azure AI Services & Azure Data Factory, AWS (S3, Lambda, API Gateway, Glue), Data Modeling & Medallion Architecture.
  • Docker, CI/CD & Git, MCP Connectors, Data Lineage, Audit Trail & Data Governance, ALCOA+, GxP, 21 CFR Part 11 Compliance, Production-Grade Data Engineering Experience (5+ Years).



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