Indiana

Data Jobs in Indiana

65 jobs found

Include remote jobs

Today

Data Engineer

Benchmark South Bend, IN

South Bend, IN

Today

$70k - $140k/yr Full time Python 3d Design Tools Apache Airflow

Apply Now

Job Description

Benchmark is hiring an experienced Data Engineer to own and evolve its data platform. The position focuses on building and maintaining pipelines that collect, transform, validate, and deliver both structured and unstructured data to power APIs and product experiences.

Responsibilities

Own the architecture and development of data pipelines.
Build ETL workflows for structured and unstructured data.
Develop web scrapers, data integrations, and automated data collection systems.
Create data models, validation processes, and monitoring to improve reliability.
Build internal tools and APIs to make data usable for downstream teams and systems.
Contribute to customer-facing features when needed.
Use AI tools and models to improve engineering and data workflows.
Help scale technology and engineering practices as the company grows.

Requirements

Substantial professional experience in data engineering or software engineering, including ownership of production data systems (5+ years preferred).
Strong Python and SQL skills, including pandas, NumPy, or similar libraries.
Experience designing and owning production ETL or ELT pipelines.
Experience with Dagster, Airflow, Prefect, or a similar orchestration platform.
Experience with Snowflake, BigQuery, Redshift, Databricks, or a similar data warehouse.
Strong knowledge of data modeling, transformation, validation, and quality controls.
Experience building reliable web scrapers or automated data collection systems.
Fluency with AI coding tools and experience working with LLM or machine-learning APIs.
Comfort operating with high autonomy and ambiguity in a fast-paced startup environment.

Technologies

Python, SQL, pandas, NumPy
Dagster, Airflow, Prefect
Snowflake, BigQuery, Redshift, Databricks
AI coding tools, LLM, machine-learning APIs

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Vision insurance

Nice to Have

TypeScript or JavaScript experience.
Backend experience with NestJS, Express, FastAPI, Django, or similar frameworks.
Frontend experience with React, Next.js, or similar technologies.
Experience building retrieval-augmented generation systems.
Experience deploying AI agents or other LLM-powered applications in production.
Experience with AWS or another major cloud platform.
Experience with Terraform, Docker, CI/CD, or infrastructure as code.
Experience processing PDFs, spreadsheets, contracts, or other semi-structured documents.
Experience with Pinecone, Weaviate, pgvector, or another vector database.
Experience working at an early-stage startup or on a small engineering team.

Location and Work Style

This is a full-time hybrid role based in South Bend, Indiana. The preference is for regular in-person collaboration with the team, though an exceptional candidate outside the area may be considered. The role works directly with the CTO and the broader team while maintaining autonomy to own major technical initiatives.

Compensation

USD 70,000 - 140,000 per year.

View full job page →

Today

Azure Data Engineer

Skywalk Global Indianapolis, IN

Indianapolis, IN

Today

Full time Active Directory Azure Active Directory Azure Data Engineer

Apply Now

Job Description

Skywalk Global is seeking an Azure Data Engineer for an onsite role supporting reliable data products across integration, pipelines, modeling, governance, and documentation.

Responsibilities

Support data technology strategy, including resolving data integration issues related to data quality and stewardship across secure systems
Provide direction and oversight for design and implementation of data solutions for integration and synthesis across multiple secure systems
Assist in defining, implementing, and maintaining data management policies and engineering design standards
Advise, train, and provide technical support for projects
Participate in requirements gathering, solution reviews, and explaining technical complexities to non-technical stakeholders
Collaborate with solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation
Extract, transform, and load data from a variety of sources using data engineering tools and methods
Design, build, and maintain batch and streaming Azure Databricks pipelines using PySpark, Spark SQL, and Delta Lake following medallion (bronze/silver/gold) architecture
Develop, load, and tune dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboards
Orchestrate and monitor workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery
Apply data governance and security controls to protect PHI/PII in line with HIPAA and agency policy (including Unity Catalog permissions, role-based access, row- and column-level security, and data masking)
Document and demonstrate solutions through documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code
Support operations by performing systems analysis and recommending changes in policies and procedures

Requirements

4+ years experience required, supported by one of the following education/experience paths: a Master’s degree in a related field (data science, analytics, informatics, computer science, mathematics, engineering, or related) OR a Bachelor’s degree plus 2+ years relevant experience OR 4+ years hands-on experience in a similar data engineering role
Relevant certifications and coursework may substitute for formal education/experience requirements (still requiring 4 years)
Developing with Databricks notebooks using PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions
Experience with CID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance such as OPTIMIZE, Z-order, and VACUUM
Working with medallion architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT
Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials
Right-sizing clusters and SQL warehouses and diagnosing partitioning, shuffle, skew, and caching issues using Spark UI
Scheduling and managing dependencies with ADF Pipelines and Databricks Workflows (Jobs), including using Git folders (Repos) for source control
Designing MPP warehouse tables, including distribution (hash, round-robin, replicated), columnstore indexes, and partitioning
Querying Parquet, Delta, and CSV in ADLS Gen2 using OPENROWSET, external tables, and views
Building star-schema facts and dimensions, plus stored procedures and views, including SCD Type 1 and SCD Type 2
Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers)
Experience with workload management, resource classes, statistics, materialized views, result-set caching, and pool scaling/pausing
ADLS Gen2 folder/file-format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault
Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles
Monitoring pipelines and workloads with Azure Monitor/Log Analytics, alerting, and troubleshooting failed jobs
Strong written and verbal communication skills
Understanding Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks

Location

Indianapolis, IN (onsite)
Local candidates only will be considered

Technologies

Azure Databricks, PySpark, Spark SQL, Delta Lake
Medallion (bronze/silver/gold) lake house architecture
Azure Synapse Analytics, SQL pools
Databricks Workflows/Jobs, Azure Data Factory
Unity Catalog, HIPAA, Unity Catalog permissions, role-based access, row- and column-level security, data masking
Databricks notebooks, R
CID transactions, MERGE upserts, schema enforcement/evolution, time travel, OPTIMIZE, Z-order, VACUUM
Auto Loader, Structured Streaming, Lakeflow/DLT
Spark UI, ADF Pipelines
MPP warehouse tables, Parquet, Delta, CSV, ADLS Gen2, OPENROWSET, external tables, views
Star-schema, SCD Type 1, SCD Type 2, stored procedures
COPY INTO, PolyBase, CETAS, data flows, triggers
Materialized views, result-set caching, Azure Monitor, Log Analytics
Entra ID, managed identities, Key Vault
Azure DevOps, GitHub, Git (Repos), Databricks Asset Bundles
Microsoft lakehouse patterns, Power BI

View full job page →

5d ago

Data Engineer II

Deloitte Indianapolis, IN

Indianapolis, IN

5d ago

$91k - $180k/yr Full time Analytics Artificial Intelligence Big Data

Apply Now

Job Description

Deloitte’s HC Forward team is an innovation partner focused on modernizing Human Capital through AI, data, and engineering. In this Data Engineer II role, you will help design and operationalize modern data foundations that support LLM-powered applications and analytics products used by clients across industries.

This onsite position is based in Indianapolis, IN and includes an annual wage range of USD 91,100 to 179,500 (based on a wide range of factors used in compensation decisions). You will partner with Human Capital product managers, clients, and cross-functional teams to deliver end-to-end solutions, from data modeling to executive-ready dashboards and stakeholder communications.

What you’ll do

Lead the design, development, and delivery of analytics solutions for complex workforce and Human Capital challenges across client engagements.
Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization tools).
Turn ambiguous business problems into structured analytical approaches, then communicate findings and recommendations to technical and non-technical stakeholders.
Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
Support business development activities, including proposals, client presentations, and thought leadership content.
Enable AI, ML, and GenAI solutions through data architecture and engineering delivery, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption.
Operationalize modern data and retrieval foundations for LLM-powered applications, including RAG, embeddings, vector search, and governed access to structured and unstructured data.
Own end-to-end delivery with Human Capital product managers and clients, from data modeling through stakeholder presentations.
Partner with data science, ML engineering, and product stakeholders to productionize use cases using pipelines and platforms with strong governance, lineage, quality controls, and monitoring.

What you’ll bring

2+ years of experience in data science, data engineering, or analytics.
2+ years of modern data and AI engineering, including data modeling, batch or streaming pipelines, structured and unstructured processing, and feature engineering or serving fundamentals.
1+ year of experience with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
2+ years using Python or R for statistical modeling and data wrangling, with proficiency in Databricks or Snowflake.
Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills, including the ability to provide clear guidance to others.
Meticulous attention to detail and commitment to quality.
Ability to lead projects or workstreams, manage and prioritize multiple tasks in a fast-paced environment, meet deadlines, and maintain professional relationships.
Ability to travel 0–25% on average, based on work and client needs.
Legal authorization to work in the United States without employer sponsorship, now or in the future.
A bachelor’s degree in a STEM field (for example, Computer Science, Engineering, Statistics, Data Science, or related).

Technologies you may work with

SQL, Tableau, Python, R
Databricks, Snowflake
Claude, GPT/Codex, Gemini
RAG, embeddings, vector search

Preferred qualifications

Advanced degree (MS or PhD) and/or relevant certifications.
Client-facing or consulting experience, particularly with Human Capital platforms and integrations (for example, Workday, SAP SuccessFactors, Oracle HCM, Salesforce) or HR data domains.
Experience with LLMOps and MLOps capabilities, including evaluation, monitoring, governance workflows, and model or prompt or version management.
Cloud experience with AWS, Azure, or GCP, including managed data platforms and scalable compute patterns.
Experience explaining complex data and technology concepts, articulating risks and trade-offs, documenting decisions, and collaborating across teams (product, data science/ML, data engineering, platform, security).
Experience building repeatable analytics products (tools, models, or platforms) and familiarity with ethics and privacy practices, including consent, PII, and bias boundaries.

View full job page →

7d ago

Data Analyst – State Healthcare Programs

CSpring Indianapolis, IN

Indianapolis, IN

7d ago

Full time Analytics Business Analytics Business Intelligence

Apply Now

Job Description

CSpring is seeking a Data Analyst to support state healthcare programs in Indianapolis, IN. This onsite role focuses on designing and delivering reporting and dashboards, building analytics in IBM Cognos and Tableau, validating outputs against data sources, and communicating insights to both technical and non-technical stakeholders.

What You’ll Do

Design, develop, test, maintain, and enhance analytic reports and dashboards using IBM Cognos and Tableau.
Create ad hoc reports and perform data analysis based on evolving client questions and requirements.
Develop complex report deliverables, including sub-reports and well-formatted visual outputs that align with user needs.
Build and maintain business analytics models, including relational and DMR models, packages, and reporting structures used for report development.
Partner with business users and technical teams to mock up reporting solutions, refine requirements, and determine effective data presentation for customers.
Collaborate with business analysts, data engineers, managers, and other team members to deliver customer-specific reporting solutions.
Identify opportunities for additional insights, report enhancements, and data improvements based on analysis findings.
Support operational stability by monitoring, auditing, validating, and troubleshooting reporting objects to ensure accuracy, integrity, and timely delivery.
Validate report results against data warehouse sources throughout development to ensure consistency and data quality.
Support testing activities, including UAT, validation cycles, and production readiness reviews.
Communicate report outputs and analytical findings clearly to technical and non-technical stakeholders.
Work within a project team environment, taking direction from project managers and technical leaders while completing assigned work.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field (or equivalent experience).
4+ years of production-level experience with data and business intelligence tools, including IBM Cognos Analytics and Tableau.
Experience with Cognos Cubes, including cube-based reporting and analysis.
2+ years of data warehouse analysis experience, including reading data flow diagrams and conceptual and physical data models.
4+ years of experience writing SQL for reporting, analysis, and report customization.
4+ years of experience with Medicaid, healthcare, or government programs.
4+ years of experience working in Agile environments or client-facing roles.
Strong attention to detail and ability to work with complex data sets to ensure accuracy.
Excellent written and verbal communication skills.

Bonus Experience

Proficiency in Python, including Pandas (or similar libraries), and Excel.
Knowledge of data cleaning, formatting, and transformation techniques.
Understanding of basic statistics and analytical problem-solving methods.

Tools and Technologies

IBM Cognos Analytics
Tableau
Cognos Cubes
SQL
Python
Pandas
Excel

Why You’ll Love Working Here

Purposeful Projects: Improve systems that serve real people through smarter data, streamlined processes, and strategic insight.
People-First Culture: Support for growth, along with autonomy and community.
Strategic, Hands-On Work: Opportunities spanning data architecture and documentation, client workshops, and solution delivery.
Collaborative Trust: Clients depend on careful listening, consistent delivery, and thoughtful guidance.

View full job page →

8d ago

Data Scientist

Michelin Woodburn, IN

Woodburn, IN

8d ago

Full time Python Artificial Intelligence Data

Apply Now

Job Description

Michelin is hiring a Data Scientist to manage and analyze disparate datasets at its BF Goodrich tire plant in Woodburn, Indiana.

Responsibilities

Oversee data management, including collection, storage, and interpretation to support business needs
Conduct analysis and reporting by organizing data into categories, comparing findings against current company processes, and producing reports outlining predictions or proposals
Use data to solve business problems, identify patterns, improve capabilities, and help develop investment strategies
Apply statistical analysis, machine learning, and programming skills to improve data collection and analysis approaches and identify long-term challenges
Understand customer needs across RDI, Manufacturing, Marketing, and related functions
Determine which data is relevant, identify missing data, and help acquire it
Consolidate and aggregate the selected datasets
Build and analyze models, including predictive models
Present results and/or models in detail, including performance and limitations, so stakeholders can use the outputs or enhance them with future data
Build and automate steps of an ML industrialization workflow
Promote AI models into production by working closely with data and platform engineers

Requirements

Strong analytical skills to identify problems, define research strategies, and recommend effective solutions
Creativity to develop new approaches and design innovative solutions
Programming skills to develop algorithms and applications using Python, R, Java, Hadoop/Spark, Tableau/Power BI, and SQL
Math and statistics skills for analyzing and modeling data
Data visualization skills to represent data and communicate insights to stakeholders
Machine learning experience building AI systems that learn from patterns
Data mining capability to convert raw data into usable information
Demonstrated experience leading a team or project group: setting goals, delegating tasks, providing feedback/coaching, leading by example, and fostering a positive environment
Ability to influence and negotiate with others in verbal and written forms
Ability to set and achieve goals with minimum supervision
Interpersonal skills including empathy, professional dispute resolution, and active listening
Experience developing and implementing project plans that meet or exceed expectations
Bachelor’s Degree in Data Science required
Master’s Degree in Machine Learning or Big Data Analytics preferred

Technologies

Python
R
Java
Hadoop/Spark
Tableau/Power BI
SQL
Machine learning
Artificial intelligence
Predictive models

Benefits

Personalized development plans, mentorship, and cross-functional opportunities, including unique career paths for advancement
Opportunity to thrive in a diverse, supportive environment where competencies, contributions, and behaviors are recognized; option to join Connected Communities
Work on impactful projects, including sustainable materials and digital transformation
Be part of a company using sustainable business practices while balancing the needs of customers and communities

The Opportunity

Immediate opening for a Data Scientist to manage and analyze across disparate datasets to address business questions
Entry level training provided, including formal classes and on-the-job mentoring under an expert area guide
Values include respect for people, teamwork, and trust

Location: Woodburn, IN (onsite)

Education: Bachelor’s Degree in Data science

View full job page →

8d ago

Senior AI Engineer

DuCharme, McMillen & Associates, Inc. Indianapolis, IN

Indianapolis, IN

8d ago

Full time Manager Senior Ai Solutions Architecture

Apply Now

Job Description

DuCharme, McMillen & Associates, Inc. is hiring a Senior AI Engineer to lead the design, development, and delivery of AI-driven solutions for DMA’s business development and operational teams. This hybrid role bridges clients and internal stakeholders with technical teams, helping translate business needs into AI requirements while guiding the AI integration roadmap across the enterprise. The position is based in Indianapolis, IN and includes in-office time in Fort Wayne, IN.

Role Overview

The Senior AI Solutions Engineer will take point on client-facing engagements, architect AI models and workflows, and oversee integrations that fit corporate tax and consulting use cases. You will collaborate across product, development, and business operations to ensure AI solutions are delivered successfully, while also mentoring engineers and supporting continuous improvement for deployed systems.

Responsibilities

Lead client-facing engagements to understand complex business challenges and translate them into AI solution requirements.
Architect and oversee the development of AI models, workflows, and integrations tailored to corporate tax and consulting use cases.
Collaborate with cross-functional teams including product, development, and business operations to support successful delivery of AI solutions.
Communicate technical concepts and solution designs clearly to non-technical stakeholders.
Guide the strategic direction of AI initiatives, including roadmap planning, prioritization, and resource allocation.
Conduct market research and competitive analysis to identify emerging AI trends within tax, finance, and legal domains.
Ensure AI solutions meet performance, scalability, and compliance standards.
Manage client feedback loops and lead continuous improvement efforts for deployed AI systems.
Mentor junior AI engineers and contribute to team development and knowledge sharing.
Support proposal development and business development efforts with technical expertise and solution design.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or related field.
5+ years of experience in AI solution engineering, including client-facing roles.
Strong understanding of machine learning, natural language processing, and data analytics.
Experience with AI platforms, model deployment, and cloud-based infrastructure.
Proven ability to lead cross-functional projects and deliver scalable AI solutions.
Excellent communication, stakeholder management, and project leadership skills.
Familiarity with corporate tax processes or financial services is a plus.
Experience in consulting or enterprise solution delivery preferred.

Benefits

Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation).
Company paid parental leave.
Generous time off package.
Multiple benefit plans, eligibility begins on day one of employment.

Hybrid Position and Work Location

Hybrid position with expectation to be in the Fort Wayne, IN office a minimum of two days per week.
Location: Indianapolis, IN (hybrid).
This position does not qualify for relocation assistance.

Work Authorization

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
This position does not qualify for employment-based sponsorship.

Work Environment & Physical Requirements

Work Schedule: regular, 40 hours/week.
Environment: hybrid (2–3 days in-office), environmentally controlled.
Travel: less than 10%.
Physical activity: prolonged periods of sitting and computer use.
Physical activity: ability to hear, understand, and distinguish speech and sounds.

View full job page →

9d ago

Data Engineer

Merchants Bank of Indiana Carmel, IN

Carmel, IN

9d ago

Full time Python Data Architecture Data Engineer

Apply Now

Job Description

The Data Engineer role at Merchants Bank of Indiana focuses on designing, building, and maintaining scalable data pipelines, integrations, and Lakehouse architectures for financial services and broader enterprise data initiatives. The position is based onsite in Carmel, Indiana.

Responsibilities

Design, build, and optimize ETL/ELT pipelines using Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
Use CI/CD pipelines (including Azure DevOps, Git-based workflows, and Fabric deployment pipelines) to automate deployments, testing, and release processes.
Maintain version control for code, pipeline definitions, SQL models, and integration scripts.
Build and maintain data integrations, initially including Salesforce, to sync source systems with the enterprise data warehouse in Microsoft Fabric.
Architect and manage Lakehouse structures (Bronze/Silver/Gold) aligned with enterprise medallion best practices.
Develop scalable data models supporting investment reporting, portfolio analytics, and capital markets insights.
Ensure schema alignment, consistency, and auditability across inbound data flows.
Perform ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
Maintain metadata, data dictionaries, and technical documentation in line with enterprise data governance.

Requirements

Bachelor’s or Master’s degree in computer science, data analytics, or a related field.
3+ years of experience in data engineering or cloud ETL development.
Proficiency in Python for data engineering, automation, and integration tasks.
Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar).
Experience with version control, preferably Git-based, covering code, pipelines, and deployment artifacts.
Hands-on experience integrating systems using Bulk API, REST API, or connector-based ingestion.
Experience with data quality frameworks and data governance concepts.

Preferred Skills

Experience working with investment, capital markets, or financial services data.
Familiarity with Git-based workflows, DevOps pipelines, or Fabric deployment processes.
Power BI and semantic model support experience.
Experience with cloud-based orchestration or event-driven patterns.

Technologies

Python, Microsoft Fabric, Azure DevOps, Jira, Salesforce, ETL, ELT, CI/CD, Git-based workflows, GitHub, SQL, REST API, Bulk API, Lakehouse (Bronze/Silver/Gold), Power BI.

Benefits

Medical, dental, and vision coverage
401(k) and Employee Stock Ownership Plan (ESOP) participation
Generous paid time off
Wellness resources
Tuition Assistance Program covering 100% of eligible tuition expenses, along with required books and materials