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Datasets Jobs in Indiana (NOW HIRING)

Lead Data Engineer

Fort Wayne, IN · On-site

$113K - $135.70K/yr

Ensure datasets are well-documented, discoverable, and reliable for downstream use. AI-Accelerated Development * Design and curate an AI-assisted engineering workflow that provides system context to:

Lead Data Engineer

Fort Wayne, IN

$101.10K - $133.20K/yr

Ensure datasets are well-documented, discoverable, and reliable for downstream use. AI-Accelerated Development * Design and curate an AI-assisted engineering workflow that provides system context to:

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Analyze complex datasets to identify trends, patterns, and actionable engineering insights. * Implement data transformations, aggregations, and workflows to support analytics and reporting. * Ensure ...

... datasets, triggers, integration runtimes, and parameterized orchestration patterns • Translate existing Synapse and ADF pipeline logic into Fabric Data Factory pipelines • Monitor pipeline ...

Develops and maintains spatial datasets and map products across Environmental Media programs to support compliance, planning, field operations, and reporting. Maintains EP document control for ...

Analyze complex datasets to identify trends, patterns, and actionable engineering insights. * Implement data transformations, aggregations, and workflows to support analytics and reporting. * Ensure ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93.50K - $128.40K/yr

Conduct rigorous testing and evaluation of AI/ML performance against operational datasets. * Analyze test data to identify model strengths, weaknesses, and mission relevance. * Refine and optimize ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107.80K - $129.40K/yr

Required Qualifications: • Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime ...

AI Engineer Senior Consultant

Indianapolis, IN · Hybrid

$99.90K - $137.20K/yr

You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences. Key Responsibilities:

Build and support ADF pipelines, linked services, datasets, triggers, integration runtimes, and parameterized orchestration patterns * Translate existing Synapse and ADF pipeline logic into Fabric ...

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Showing results 1-20

Datasets information

What is the difference between Datasets vs Data Analysts?

AspectDatasetsData Analysts
Required credentialsNone specific; often familiarity with data formats and toolsBachelor's degree in data-related fields; skills in data analysis tools
Work environmentData repositories, databases, data warehousesOffice settings, data analysis software, reporting tools
Employer and industry usageUsed by data analysts, data scientists, and database managersUsed by business teams, data analysts, and decision-makers
Common search and comparison intentUnderstanding data sources and structuresInterpreting data, generating reports, making decisions

Datasets are collections of raw data used as sources for analysis, while Data Analysts interpret and analyze these datasets to generate insights and support decision-making. Datasets serve as the foundational data, whereas Data Analysts apply skills to extract value from them.

What are popular job titles related to Datasets jobs in Indiana? For Datasets jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Datasets jobs? Cities in Indiana with the most Datasets job openings:

Lead Data Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

$113K - $135.70K/yr

Full-time

Posted 6 days ago


Job description

General Statement of Responsibility
The Lead Data Engineer plays a critical role in designing, building, and stewarding Petra, Lasting Change's enterprise data lakehouse platform built on Microsoft Fabric. This position is responsible for delivering reliable, high-quality, and well-governed data assets that enable analytics, reporting, and data-driven decision-making across the organization.
The Lead Data Engineer partners closely with analysts, leadership, and other stakeholders to translate business needs into scalable data solutions. This role combines hands-on engineering, architectural ownership, and leadership of contracted data engineers, while continuously improving development velocity through disciplined architecture and intentional use of AI-assisted development.
Requirements
Major Responsibilities / Activities
Data Analysis & Reporting
  • Own and manage Petra, the organization's Microsoft Fabric-based data lakehouse.
  • Design, build, and maintain robust ETL/ELT pipelines that curate high-quality, trusted datasets.
  • Implement and enforce Medallion Architecture standards (Bronze, Silver, Gold).
  • Ensure data reliability, performance, scalability, and governance across the platform.
  • Integrate data from multiple internal and external systems using Azure-native services.

Analytics & Reporting Enablement
  • Partner with analysts and stakeholders to deliver robust data products that serve business needs.
  • Develop analytical and dimensional data models optimized for reporting and self-service analytics.
  • Build and maintain Power BI semantic models, reports, and dashboards as needed.
  • Ensure datasets are well-documented, discoverable, and reliable for downstream use.

AI-Accelerated Development
  • Design and curate an AI-assisted engineering workflow that provides system context to:
  • Generate the majority of transformation and pipeline code upfront
  • Assist with documentation, testing, and pull requests
  • Increase overall development velocity and consistency
  • Continuously refine AI usage patterns while maintaining quality, security, and governance standards.

Leadership & System Ownership
  • Potential to lead and oversee contracted or W2 data engineers, providing clear architectural, coding, and documentation standards.
  • Review work products for quality, performance, and adherence to established patterns.
  • Maintain comprehensive documentation covering data logic, ETL processes, and system architecture.
  • Demonstrate strong ownership of the data platform, treating it as a long-term system of record.

Collaboration & Communication
  • Gather and refine requirements for assigned data initiatives.
  • Communicate clearly with technical and non-technical stakeholders.
  • Translate business needs into scalable, maintainable data solutions.

Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Use of Fingers
  • Feeling
  • Speaking
  • Hearing
  • Repetitive Motions
  • Capable of making sound decisions by using reasonable and logical judgments.
  • Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel
Travel may be required occasionally to subsidiary sites and training opportunities.
Required Experience
  • 7-10+ years of professional experience in data engineering, ETL orchestration, and multi-system data integration.
  • Strong experience with Azure data platforms, with a preference for Microsoft Fabric; experience with Azure Synapse Analytics and Azure Data Factory acceptable.
  • Deep understanding of data lakes, data warehouses, and lakehouse architectures.
  • Demonstrated expertise in Medallion Architecture design and implementation.
  • High proficiency in Python, PySpark, Spark SQL, Delta Lake, and T-SQL.
  • Strong data modeling and dimensional modeling experience to support analytics and reporting.
  • Experience collaborating with stakeholders to gather requirements and deliver data solutions.
  • Demonstrated use of AI tools to enhance development, code quality, documentation, and delivery velocity.
  • Highly organized, detail-oriented, and committed to advancing the organization's mission.

Preferred Qualifications
  • Experience building and maintaining Power BI reports and semantic models.
  • Microsoft or other cloud platform certifications.
  • Experience leading or mentoring other data engineers, particularly contractors.
  • Commitment to continuous learning and professional growth.