Indianapolis, IN

Data Jobs in Indianapolis, IN

37 jobs found

Include remote jobs

Today

HR Data Analyst

Elwood Professional Indianapolis, IN 🇺🇸 Remote

Indianapolis, IN

Today

$77 - $77/hr Contract Business Intelligence Data Analysis Data Analytics

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Job Description

Elwood Professional is hiring a remote HR Data Analyst for a contract-to-hire opportunity in Indianapolis, IN. This role focuses on improving HR reporting through data analytics, dashboards, and process optimization, with tools like Excel and Power BI. You will also help streamline complex reporting workflows to reduce manual effort and deliver clearer visibility to leadership.

What You’ll Do

Maintain existing HR reporting by analyzing and formatting data in Excel using filters, advanced formulas, macros, pivot tables, conditional formatting, and related tools.
Transform and optimize complex Excel-based reporting processes by finding opportunities to simplify and automate workflows using advanced Excel capabilities, AI, and other emerging technologies.
Reduce manual work, reporting complexity, and the time required to produce and maintain reports.
Develop dashboards and data visualizations that help leaders understand metrics and trends.
Use tools such as Power BI, Excel, and other available reporting/visualization tools to turn complex data into clear metrics and insights.
Create and maintain step-by-step documentation of reporting workflows, and update it as processes are optimized or automated to keep procedures accurate and sustainable.

What You Bring

Bachelor’s degree in Human Resources, Business, Data Analytics, Information Systems, or a related field.
8+ years of related professional experience.
Demonstrated experience in data analysis, reporting, and process improvement, including working with complex datasets and reporting processes.
Advanced Excel proficiency, including advanced formulas, pivot tables, macros, conditional formatting, and data manipulation used to analyze and automate complex reporting.
Experience building dashboards, metrics, and data visualizations using Power BI, Excel, or similar tools.
Experience using AI, automation tools, or other emerging technologies to improve analysis, reporting, or business processes.
Background check eligibility; a pre-employment drug screen is required as a condition of employment.
A conviction record will not necessarily prevent employment. You may be asked to complete and submit a questionnaire, and the company will consider factors such as age at the time of offense, when it occurred, seriousness and nature, and any rehabilitation.

Schedule and Pay

Contract to hire position
$77.00/hour
First shift, Monday through Friday, 08:00am to 05:00pm
Remote (Indianapolis, IN)
Job type: contract

Benefits

Medical/Vision/Dental/Rx plans
Weekly Pay
And More!

How to Apply

Contact Cierra Thompson at (812) 372-6200 or email cierra.thompson@elwoodprofessional.com. You can also apply online at www.elwoodjobs.com.

Mailing address: 4111 Central Avenue, Columbus, IN 47203

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2d ago

Data Engineer – Databricks (IBU Consumer)

RADcube Indianapolis, IN

Indianapolis, IN

2d ago

Full time Big Data Bigdata Cloud Data Engineering

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Job Description

RADcube is hiring a Data Engineer to build and support Databricks-based data foundations for consumer-facing IBU data products. In this onsite role in Indianapolis, Indiana, you will develop scalable pipelines, apply a medallion data design with Unity Catalog, and keep production jobs running efficiently through monitoring, troubleshooting, and performance tuning.

What you’ll do

Build and maintain scalable data pipelines on Databricks for consumer-facing IBU data products.
Develop ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake.
Implement and operate a medallion architecture (bronze/silver/gold) with Unity Catalog and Workflows.
Optimize cluster performance and cost while monitoring and troubleshooting jobs in production.

What you bring

4+ years of data engineering experience.
Hands-on experience with Databricks, PySpark, and SQL.
Working knowledge of Git and CI-CD.
Nice to have: experience with pharma or consumer data.
Nice to have: Databricks certification.

Tech stack

Databricks
PySpark
Spark SQL
Delta Lake
Unity Catalog
Workflows
Git
CI-CD

Job type: Full time
Location: Onsite, Indianapolis, Indiana, United States (46204)
Date opened: 10/29/2026
Industry: Technology
Experience range: 4-8 years

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7d ago

Data Engineer

Eli Lilly Indianapolis, IN

Indianapolis, IN

7d ago

$129k - $231k/yr Full time 3d Design Tools Aurora AWS

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Job Description

Eli Lilly’s Lilly Medicine Foundry is building a data platform purpose-built for a GMP-regulated manufacturing environment. In this onsite role, you will design and deliver data pipelines and cloud data lakehouse solutions that connect IT and OT source systems across AWS and Azure, enabling reliable, scalable data products for lab, process engineering, manufacturing, quality, and analytics use cases.

Working as a Data Engineer, you will translate end-to-end understanding of how data moves through the Foundry into reusable data domains and data-as-a-product capabilities. The role emphasizes modern ingestion and extraction patterns, performance-focused implementation, and a quality mindset from the start.

What you’ll do

Design and build data pipelines that support multiple systems across the site.
Partner with the Data Architect and Data Scientists to understand Foundry data flows from lab systems, process engineering, and manufacturing execution to quality and process analytics, then turn those insights into reliable, scalable data products.
Integrate IT and OT source systems with cloud data lakehouse architecture across AWS and Azure to enable analytics and AI/ML/agentic AI use cases.
Enable the full data value chain, including capture, ingestion, integration, contextualization, harmonization, and delivery as reusable data domains and data-as-a-product.
Apply modern patterns such as medallion architecture, streaming ingestion, and API-based extraction.
Write clean, maintainable code and optimize for performance with careful attention to how data becomes trustworthy and analytics-ready.
Apply GxP data integrity requirements and Good Manufacturing Practices from the beginning of design and implementation.
Participate in design reviews, maintain traceability, and help contribute to governance frameworks that support ongoing compliance.
Collaborate with stakeholders across Operations, Quality, Lab, and Engineering to understand data needs and elicit requirements.
Identify gaps between operational realities and technical needs, translate them into sound designs, and communicate architecture decisions to non-technical audiences.
Investigate upstream and downstream dependencies, seek reuse opportunities for existing services and integrations, and build in alignment with broader data architecture.
Track emerging tools and technologies across AWS and Azure ecosystems, bring informed perspectives on adoption, and contribute to the team’s collective capability.
Design, develop, and maintain solutions for data capture, storage, integration, and analytics in partnership with Lilly technology teams.
Review architectures and provide practical recommendations on design patterns, performance optimization, database versions, and database deployment strategies.
Analyze large, complex data domains and develop practical approaches for downstream data exploitation via analytics.

What you’ll bring

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
5+ years of experience across several areas including data modeling, ETL/ELT, ontology development, semantic graph construction, and linked data, plus relational schema design.
2+ years of that experience in a relevant pharmaceutical GxP setting (CM&C, Discovery R&D, or Manufacturing).
Experience with AWS and Azure cloud platforms.
Experience with AI/ML/LLM concepts and tools, including building agentic AI solution sets.
1-3 years designing large-scale data models for functional, operational, and analytical environments (Conceptual, Logical, Physical & Dimensional).
Demonstrated SQL and data modeling proficiency.
Experience using data modeling tools such as ER*Studio, Erwin, or TOAD.
Data integration experience including streaming and Industrial IoT using MQTT, AQMP, Kafka, and related protocols.
Understanding of modern data architecture concepts, including data lakehouse and data warehousing and/or big data.
Experience with security models and development on large data sets.
Experience with multiple database solutions (e.g., Postgres, Redshift, Aurora, Athena, Graph DB like Neptune, NoSQL like DynamoDB and MongoDB) and formal database designs (3NF, Dimensional Models).
Experience with Agile development, CI/CD, GitHub, and automation platforms.
Knowledge of data functions including Data Governance, Master Data Management, and Business Intelligence.
Prior work experience in pharma or other GMP settings.
Solid knowledge of Computer System Validation process.
Strong problem-solving skills for analyzing, anticipating, and resolving complex issues.
Learning agility and curiosity, plus the ability to communicate effectively across diverse forums and methods.

Tools and technologies you may work with

AWS, Azure
Medallion architecture, streaming ingestion, API-based extraction
MQTT, AQMP, Kafka
Postgres, Redshift, Aurora, Athena
Neptune, DynamoDB, MongoDB
SQL, ER*Studio, Erwin, TOAD
Agile Development, CI/CD, GitHub
GxP, GMP, Computer System Validation

Compensation and benefits

Salary: USD 129,000 - 231,000 per year
Company bonus (based in part on company and individual performance)
Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision, and prescription drug benefits
Flexible benefits (for example, healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (employee assistance program, fitness benefits, and employee clubs and activities)

Location

Onsite in Indianapolis, IN 46260. The role is expected to move to Lebanon, IN beginning late 2027-2028. Until then, work location remains Indianapolis.

Minimum experience: 5 years.

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8d ago

Azure Data Engineer

Skywalk Global Indianapolis, IN

Indianapolis, IN

8d ago

Full time Active Directory Azure Active Directory Azure Data Engineer

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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

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13d ago

Data Engineer II

Deloitte Indianapolis, IN

Indianapolis, IN

13d ago

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

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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.

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15d ago

Data Analyst – State Healthcare Programs

CSpring Indianapolis, IN

Indianapolis, IN

15d ago

Full time Analytics Business Analytics Business Intelligence

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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.

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16d ago

Senior AI Engineer

DuCharme, McMillen & Associates, Inc. Indianapolis, IN

Indianapolis, IN

16d ago

Full time Manager Senior Ai Solutions Architecture

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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.