Indianapolis, IN

Data Jobs in Indianapolis, IN

2 jobs found

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27d ago

Senior Data Engineer

Pinnacle Partners, Inc. Indianapolis, IN

Indianapolis, IN

27d ago

Up to $130k/yr Full time Senior Analytics Business Intelligence

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Job Description

Pinnacle Partners, Inc. is seeking a Senior Data Engineer to drive a large-scale data modernization initiative in Indianapolis, IN (onsite).

Responsibilities

Design, implement, and optimize BI oriented data architectures and platforms.
Collaborate with cross functional teams to translate business needs into scalable technical solutions.
Develop and maintain data pipelines that support complex transformations.
Create technical designs, data models, and strategic roadmaps for the data ecosystem.
Diagnose and resolve data quality and processing issues across pipelines and warehouses.
Produce and maintain thorough documentation for data warehouses, data stores, and end-to-end data flows.
Provide mentorship and guidance to junior team members.

Requirements

5+ years of hands-on experience in data warehousing, databases, and dimensional data modeling.
5+ years spanning end-to-end data analysis and development lifecycle.
Proficiency with Git version control.
Advanced SQL skills.
Strong experience with AWS cloud platforms.

Technologies

Snowflake
Python
R
AWS
Git
SQL

Benefits

Medical, dental, and vision insurance
Generous paid time off
401(k) with company matching
Wellness programs
Additional benefits

Terms

Direct hire opportunity with annual compensation up to $130,000, based on experience.

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29d ago

AI / Machine Learning Engineer

Guidehouse Indianapolis, IN

Indianapolis, IN

29d ago

$102k - $170k/yr Full time Analytics Artificial Intelligence AWS

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Job Description

Guidehouse is seeking an AI / ML Engineer to advance analytics and AI-enabled solutions for federal programs. This onsite role in Indianapolis focuses on designing, building, and deploying scalable ML models and data pipelines that empower mission-critical decisions across defense and federal financial domains. The compensation ranges from USD 102,000 to 170,000 annually, depending on experience and qualifications.

Responsibilities

Design, develop, train, and deploy ML models to support operational, analytical, and decision-support use cases.
Create and maintain end-to-end ML pipelines, from data ingestion and feature engineering through model training and evaluation.
Leverage supervised and unsupervised techniques, including classification, regression, clustering, and anomaly detection.
Handle large-scale structured and semi-structured federal datasets, such as financial, budgetary, and transactional data.
Build solutions in secure cloud and on-prem environments in alignment with DoD and federal security controls.
Collaborate with stakeholders to translate analytic outcomes into actionable insights and mission value.
Contribute to solution documentation, model explainability, and government-facing deliverables.
Support continuous improvement of data science and ML engineering best practices across teams.

Requirements

US citizenship is required.
Active and maintained SECRET federal or DoD clearance.
Bachelor’s degree.
3–5 years of professional experience in machine learning, AI engineering, data science, or advanced analytics.
Proven experience building and deploying ML models using Python and modern frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
Strong data manipulation and analysis skills with SQL, Pandas, NumPy, and related tools.
Experience working in secure federal environments, particularly DoD or Intelligence Community programs.
Understanding of model validation, explainability, performance monitoring, and bias considerations.
Ability to communicate complex technical concepts clearly to technical and non-technical audiences.

Technologies

Python, scikit-learn, PyTorch, TensorFlow
SQL, Pandas, NumPy
Databricks, Spark, MLflow, Delta Lake
Palantir Foundry
Azure GovCloud, AWS GovCloud

Benefits

Medical, prescription, dental, and vision insurance
Personal and family sick time and company-paid holidays
Discretionary variable incentive bonus eligibility
Parental leave and adoption assistance
401(k) retirement plan
Basic and supplemental life insurance
Health Savings Account, Dental/Vision and Dependent Care Flex Spending Accounts
Short-Term and Long-Term Disability
Student loan paydown
Tuition reimbursement and opportunities for personal development
Skills development and certifications
Employee referral program
Corporate-sponsored events and community outreach
Emergency back-up childcare program
Mobility stipend

What would be great to have

Experience supporting the Department of Defense, especially work involving Advana or enterprise DoD data platforms
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field
Hands-on experience with federal financial or budgetary data (audit, accounting, execution, or spend analytics)
Experience engineering solutions on Databricks (Spark, MLflow, Delta Lake)
Experience building analytics or ML solutions using Palantir Foundry
Familiarity with MLOps practices, CI/CD for ML, and model lifecycle management
Experience working in cloud environments such as Azure GovCloud or AWS GovCloud
Master’s degree in a related quantitative or technical field

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Data Jobs in Indianapolis, IN

Senior Data Engineer

AI / Machine Learning Engineer

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