Carmel, IN

Engineer Jobs in Carmel, IN

12 jobs found

Include remote jobs

19d ago

Data Engineer

Merchants Bank of Indiana Carmel, IN

Carmel, IN

19d ago

Full time Python Data Architecture Data Engineer

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Job Description

Merchants Bank of Indiana is seeking a Data Engineer to support financial services and broader Enterprise Data initiatives. In this onsite role in Carmel, IN, you will design and maintain scalable data pipelines and Lakehouse architectures, helping ensure reliable data flow for investment, portfolio, and capital markets reporting.

You will work with Microsoft Fabric and Python to build ETL/ELT solutions, manage integrations, and strengthen governance and auditability across inbound data. The role also emphasizes automation through CI/CD practices and disciplined version control across the full data delivery lifecycle.

Responsibilities

Design, build, and optimize ETL/ELT pipelines using Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
Apply CI/CD pipelines to automate deployments, testing, and releases using tools and workflows such as Azure DevOps and Fabric deployment pipelines.
Maintain version control for code, pipeline definitions, SQL models, and integration scripts.
Build and maintain data integrations, starting with 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 for investment reporting, portfolio analytics, and capital markets insights.
Ensure schema alignment, consistency, and auditability across all inbound data flows.
Implement 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, across code 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, plus required books and materials

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1mo ago

Plant Engineer - LNG & RNG

Kinder Morgan Carmel, IN

Carmel, IN

1mo ago Closed

$90k+/yr Full time Design Engineering Engineering Gas Engineering

This position is no longer accepting applications (closed Nov 1, 2026).

Job Description

Kinder Morgan is seeking a Plant Engineer to support Renewable Natural Gas (RNG) facilities in Indiana with technical leadership for both LNG and RNG operations.

Responsibilities

Champion process and operations safety at LNG and RNG facilities
Review and support commissioning and startup activities
Modify and maintain P&IDs and other process-related documents
Provide technical support to resolve operational issues and support facility performance
Lead efficiency improvement initiatives, including unit optimization and equipment debottlenecking
Perform proactive monitoring and troubleshooting of assigned process equipment
Report production deficiencies and monitoring results in a timely manner
Develop solutions to improve reliability and production
Provide technical review of MOC documents and operations procedures
Support development and maintenance of the process simulator

Requirements

Provide engineering support for RNG & LNG processing plant operations
Lead daily optimization of processed gas volume and quality to maximize energy recovery and improve performance and revenue using data and available resources
Provide guidance and direction to RNG & LNG operators, technicians, and managers on plant design, construction, and operational issues
Use operational knowledge of natural gas processing facilities and equipment
Experience with design and optimization of new and existing gas processing facilities
Strong communication and interpersonal skills to work across disciplines and experience levels
Customer-focused approach when interfacing with Project Management, Business Development, Operations, Contractors, Suppliers, and other internal and external groups
Ability to troubleshoot and problem solve
Perform detailed sizing, design, and specifications for major gas processing equipment, including: compression, heat exchangers, membranes, pumps, towers, separators, heaters, control valves, and Pressure Safety Valves (PSVs)
Participate in baseline, revalidation, and project PHA/HAZOP studies as needed; assist with Management of Change requirements
Perform and/or validate relief valve and flare system sizing/evaluations
Maintain and update Process Safety Information (PSI), including P&IDs, Heat & Material Balances, Process Simulations, PFDs, Cause & Effect Matrices (C&E), Consequences of Deviation (COD), Pressure Relief Valve Calculations, and Maximum Intended Inventory (MII)
Functional knowledge of ASME B31.3, ASME Section VII Div 1, API 520/521, and other RAGAGEP standards and regulations for process engineering facility design, construction, and operation
Thorough understanding of midstream processes including: Glycol Dehydration; Solid Desiccant Dehydration; Compression; Closed Loop Chiller Systems; Acid Gas Removal Systems (e.g., Amine, Selexol); Pressure Swing Adsorption; Temperature Swing Adsorption; Cryogenic Liquefaction Nitrogen Rejection; Product Storage, Transfer, Unloading/Loading; and Utility Systems (e.g., heat medium, flare, RTO, fuel gas, steam, instrument air, etc.)
Review and provide feedback on equipment drawings, vessel calculations, and construction drawings
Assist EHS with environmental permit requirements for air emissions, storage, and proper disposal of waste
Knowledge and experience with managing projects
Ability to develop, read, and interpret mechanical blueprints and diagrams
Working knowledge of Microsoft Office
Strong presentation and report writing skills
Maintain a valid driver’s license with a driving record satisfactory to the company and its insurers
Business travel required, expected to be 30% to 50% of time
Carry a cell phone and respond as needed during working and non-working hours

Education

BS degree in Chemical, petroleum, or natural gas engineering
Related degrees with on-the-job experience may be considered

Preferred Qualifications

Minimum of 5 years experience in design, construction, and/or operation of natural gas processing facilities and/or landfill gas processing facilities
Fundamental knowledge of natural gas processing and RNG & LNG processing
Practical knowledge of industry codes including B31.3/31.8, DOT CFR 49 191/192, ASME, ANSI, OSHA, API, NACE
Proficiency with process modeling applications such as BR&E ProMax, Aspen HYSYS, Aspen Flare System Analyzer, and Aspen Exchanger Design and Rating
Experience with process facility instrumentation, controls, and automation
Experience in field/plant operations

Technologies

Microsoft Office
BR&E ProMax
Aspen HYSYS
Aspen Flare System Analyzer
Aspen Exchanger Design and Rating

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

Pay

From $90,000.00 per year

Working Conditions

Walk up and down stairs/ladders, negotiate uneven surfaces, and work on top of oil storage tanks and catwalks
Exposure to smells and fumes associated with refined petroleum products
Climate conditions may include winter snow and extreme summer heat depending on assignment
Physically capable of completing training requirements per local, state, or federal agencies and/or company policy
Carry a communications device and support operations 24 hours per day in emergencies
Extended periods of sitting may be required for administrative activities
Travel throughout the United States, including extensive travel and overnight stays
Field activities may include walking around work and construction sites, climbing in and out of storage tanks, working around heavy equipment, negotiating rough terrain, and working in confined spaces

Location and Work Type

Onsite in Carmel, IN

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1mo ago

Senior Data & AI Engineer

RADcube Carmel, IN

Carmel, IN

1mo ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Oct 31, 2026).

Job Description

RADcube is looking for a Senior Data & AI Engineer to help build the data foundation that makes AI-driven answers reliable. In this onsite role in Carmel, Indiana, you will design semantic models, create high-quality metadata, and connect structured data with AI capabilities like text-to-SQL and RAG.

You’ll work across cloud data platforms, collaborate with AI engineers on structured-data use cases, and partner with clients to translate business questions into well-defined data requirements. The focus is on accuracy, clarity, and governance, including environments where GxP and HIPAA may apply.

What you’ll do

Build and maintain data models (dimensional, relational, and lakehouse) aligned with team standards.
Investigate and document unfamiliar or legacy schemas, including ER diagrams, data dictionaries, join paths, and lineage.
Develop and optimize SQL, transformations, and pipelines on cloud data platforms.
Create business-friendly semantic models by translating raw tables into metrics, dimensions, hierarchies, and relationships.
Write and enrich schema metadata and descriptions to support LLM text-to-SQL and generative BI accuracy.
Collaborate with AI engineers on RAG pipelines, agent tools, and prompt design when structured data is involved.
Test and evaluate AI-generated queries for correctness, including help building test sets and guardrails.
Participate in client discovery sessions to understand processes, KPIs, and reporting needs.
Convert business questions into data requirements, validating metric definitions with stakeholders.
Communicate data findings clearly to technical and non-technical audiences.
Apply data quality checks, naming standards, and documentation practices.
Follow governance and compliance requirements where relevant (GxP, HIPAA).
Review peers’ work and support junior engineers as needed.

Skills and experience

6+ years of experience in data engineering, analytics engineering, or BI development.
Strong SQL and a solid understanding of relational and dimensional modeling.
Proven ability to learn and navigate large enterprise schemas such as SAP, Salesforce, MES, or similar systems.
Hands-on experience with AWS (Redshift, Glue, Athena, S3) and/or Azure (Synapse, Fabric, Data Factory), plus Databricks or Snowflake.
Working proficiency in Python for data work.
Practical exposure to LLMs on structured data, including text-to-SQL, semantic layers, or AI-assisted analytics.
Business awareness and comfort discussing KPIs and processes with stakeholders.

Technologies you may work with

SQL, Python
AWS: Redshift, Glue, Athena, S3, AWS DataZone
Azure: Synapse, Fabric, Data Factory
Databricks, Snowflake
SAP, Salesforce, MES
LLMs, text-to-SQL, RAG
LangChain, LangGraph, Bedrock Agents, MCP
Unity Catalog, Collibra
dbt, Cube, dbt Semantic Layer, LookML
Vector databases, knowledge graphs, agentic frameworks

Nice-to-have

Experience with pharma, life sciences, manufacturing and quality, or healthcare data.
Experience with dbt and/or semantic layer tools such as Cube, dbt Semantic Layer, or LookML.
Familiarity with vector databases, knowledge graphs, or agentic frameworks (LangChain/LangGraph, Bedrock Agents, MCP).
Experience with data catalog tools such as Unity Catalog, Collibra, or AWS DataZone.
AWS, Azure, or Databricks certifications.

What success looks like in the first 6 months

Deliver semantic models and metadata for at least one accelerator or client use case.
Achieve measurable improvements in AI-generated query accuracy on datasets you own.
Produce documentation that enables others on the team to pick up and extend the work.
Earning stakeholder trust by demonstrating strength in both their data and their business context.

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1mo ago

Generation Interconnection Engineer

Anchor Point Technology Resources Carmel, IN

Carmel, IN

1mo ago Closed

$55 - $65/hr Contract Electrical Engineering Engineering Power Engineering

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Anchor Point Technology Resources is seeking a Generation Interconnection Engineer to help support transmission and generation interconnection studies for a large regional power system. This is a remote contract opportunity with hybrid work from Carmel, IN, and the role may be extended or converted based on project needs.

In this position, you will contribute to study execution, model development, and technical reporting while partnering with utilities, transmission owners, and internal technical teams across multiple interconnection efforts.

Responsibilities

Perform and support generation and transmission interconnection studies
Build, update, and analyze power system models
Evaluate study outcomes and develop technical reports and recommendations
Support multiple projects while collaborating with utilities, transmission owners, and technical teams
Communicate technical findings clearly to internal and external stakeholders

Requirements

Bachelor’s degree in Electrical Engineering or a related engineering or technical discipline
4+ years of relevant experience in power systems, transmission planning, or generation interconnection
Experience conducting transmission or generation interconnection studies
Experience with power system modeling and analysis
Strong written and verbal communication skills
Experience with PSS/E, MUST, TARA, TSAT, and VSAT (or similar tools) preferred

Tech Stack

PSS/E
MUST
TARA
TSAT
VSAT
Python

Location and Employment Details

Location: Carmel, IN (hybrid remote)
Job type: Contract
Pay: $55.00 - $65.00 per hour

Application Questions

Are you currently located in EST or CST?
Are you comfortable working on a W2 basis ONLY?

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1mo ago

Senior Machine Learning Engineer

Zotec Partners Carmel, IN

Carmel, IN

1mo ago Closed

Full time Ai Ml Artificial Intelligence AWS

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Zotec Partners offers a Senior Machine Learning Engineer role based in Carmel, IN (onsite), focused on building and extending machine learning and AI systems that support governed access to data and AI tooling. You will design, ship, and improve models while creating AWS-based infrastructure to connect large language models to Zotec data. The work also includes defining safe and accurate AI reasoning over that data, with a strong emphasis on quality standards, compliance, and security.

What you’ll do

Design, develop, and maintain the ML models and data integrations that power AI-driven products and internal tools
Build and maintain tools that connect large language models to real data so AI systems can query and reason over Zotec data accurately and safely
Own the ML lifecycle from problem framing and data preparation through training, evaluation, deployment, and ongoing monitoring
Architect scalable, cost-aware ML infrastructure on AWS using services such as SageMaker, Bedrock, and Lambda
Improve retrieval and data quality using knowledge representation approaches such as ontology, taxonomy, or knowledge-graph thinking

What you bring

Bachelor’s degree required (preferably in a STEM field); Master’s degree preferred
3-5 years delivering ML solutions at scale
Proficiency in Python, and in ML model development, training, and evaluation
Experience working with structured and unstructured data at scale
System design experience for data and ML pipelines
Familiarity with AWS, including SageMaker, Bedrock, Lambda, and Redshift
Familiarity with Claude and other large language models
Familiarity with ontology, knowledge graphs, or structured data modeling
Experience with DevOps practices such as CI/CD pipelines and infrastructure as code (IaC)
Experience deploying and monitoring ML models in production on AWS
Ability to apply knowledge representation to improve retrieval or reasoning
Experience instrumenting models and pipelines for observability and performance monitoring
Clear communication with cross-functional teams including Data Engineers, Data Scientists, Business Analysts, and other engineers
Comfort balancing technical depth with practical problem-solving across performance, scalability, and accuracy
Commitment to clean, maintainable code and mentoring through code reviews, documentation, and collaboration
Understanding of healthcare-relevant quality and compliance and security, with general knowledge of standards such as HIPAA or PCI
Experience expanding LLM application patterns, including retrieval-augmented generation, prompt engineering, and evaluation frameworks
Experience using knowledge graphs and semantic data modeling to improve data retrieval and reasoning
Experience following development methodologies including Scrum and Kanban

Technologies you’ll work with

Python, Machine learning
AWS (SageMaker, Bedrock, Lambda, Redshift)
Claude, large language models
Ontology, knowledge graphs, structured data modeling, semantic data modeling
CI/CD pipelines, infrastructure as code (IaC), Scrum, Kanban
Retrieval-augmented generation, prompt engineering, evaluation frameworks
HIPAA, PCI

Benefits

Paid time off (PTO) to balance work and personal life
Health, dental and vision insurance
Company paid life insurance, AD&D, and disability
Money for your 401k
Volunteerism support and charitable gift matching through the Zotec Effect program
Tailored learning and professional development opportunities

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1mo ago

AI Engineer

Allied Solutions Carmel, IN

Carmel, IN

1mo ago Closed

Full time Ai Engineer Ai Ml Api Integration

This position is no longer accepting applications (closed Oct 20, 2026).

Job Description

Allied Solutions is seeking an AI Engineer in Carmel, IN to architect, fine-tune, and deploy AI solutions that streamline operations and generate actionable insights. This onsite role focuses on building AI-enabled capabilities, validating feasibility, and supporting responsible implementation through launch and adoption.

Key Responsibilities

Configure, connect, and extend AI-enabled solutions using enterprise AI platforms, commercial products, automation tools, integrations, and lightweight supporting components.
Design and build secure, reusable connections that allow enterprise AI platforms to access approved data, services, and business actions via APIs, connectors, orchestration tools, and emerging standards such as Model Context Protocol (MCP).
Develop and validate proofs of concept to confirm feasibility, usability, performance, and expected value prior to broader rollout.
Advance assigned solutions through testing, production readiness, launch, and operational handoff aligned with team delivery priorities and practices.
Troubleshoot implementation issues and collaborate with platform, architecture, security, data, vendor, and business partners to address constraints.
Partner with business stakeholders and the AI Architect to understand the assigned workflow, users, pain points, desired outcomes, and measures of success.
Convert an approved use case into implementable requirements and acceptance criteria, including identification of needed data, access, dependencies, and delivery constraints.
Validate future-state workflows through demonstrations, prototypes, and user feedback, including considerations for human decision points.
Provide estimates, technical findings, risks, and implementation options to support solution and delivery decisions.
Maintain familiarity with Allied’s enterprise platforms, approved technologies, data assets, integration capabilities, and reusable services.
Evaluate candidate capabilities through hands-on research and experimentation, including generative AI, predictive machine learning, rules-based automation, analytics, and existing platforms.
Document feasibility, performance, integration needs, implementation effort, limitations, and support considerations to inform decisions, ensuring selected approaches follow enterprise patterns and guardrails with the AI Architect and platform owners.
Develop solution recommendations based on business fit, implementation speed, security, integration, cost, scalability, and ongoing support needs.
Implement applicable Responsible AI, privacy, security, legal, accessibility, and data-governance requirements.
Define and execute appropriate evaluations, including business effectiveness, usability, and applicable model metrics (accuracy, precision/recall), as well as groundedness, bias, drift, failure handling, human oversight, and escalation.
Implement monitoring, feedback mechanisms, documentation, and support procedures.
Consider maintainability, platform alignment, vendor dependencies, technical debt, and operational overhead when making implementation decisions.
Work with the Enablement Lead and business teams to deliver guidance, demonstrations, training, and other support needed for adoption.
Collect usage information, user feedback, business outcomes, and relevant platform or vendor changes to recommend improvements, simplification, scaling, replacement, or retirement.
Create and share reusable configurations, workflow patterns, implementation documentation, and lessons learned.

Required Qualifications

Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field is required.
Relevant work experience may be considered as an equivalent for education requirements.
4+ years of professional experience in AI or related fields is required.
Experience developing and implementing AI models and systems.
Portfolio of projects or contributions to open-source projects demonstrating AI expertise.
Proficiency in programming languages: Python, R, or Java.
In-depth knowledge of machine learning frameworks: TensorFlow and/or PyTorch, and libraries such as scikit-learn and NLTK.
Strong ability to work with large data sets and complex algorithms.
Proficiency in data structures, statistical modeling, and computer science fundamentals.
Excellent problem-solving skills and the ability to think algorithmically.
Strong communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
Analytical and decision-making skills.
Ability to work independently and as part of a team.
Ability to meet deadlines and work under pressure.
Strategic and tactical thinking.

Preferred Qualifications

Master’s degree preferred.
Experience with cloud computing services (AWS, Azure, Google Cloud) is a plus.

Technology Stack

Python, R, Java
TensorFlow, PyTorch
scikit-learn, NLTK
AWS, Azure, Google Cloud
Model Context Protocol (MCP)

Benefits

Medical, dental, and vision insurance coverage.
100% company-paid life and disability coverage.
401k options with company match.
Three weeks PTO by the end of the first year.
Career growth opportunities for employees of all levels.

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3mo ago

.Net Software Engineer

Anchor Point Technology Resources Carmel, IN

Carmel, IN

3mo ago Closed

Full time Backend Developer .NET APIs

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Anchor Point Technology Resources is seeking a Senior .NET Developer for an onsite role in Carmel, Indiana. This position centers on delivering scalable, secure software through API development, database management with SQL and Oracle, and Azure cloud initiatives. Join a collaborative team focused on practical, reliable software delivery and end-to-end solution ownership.

Responsibilities

Develop, maintain, and enhance .NET applications with an emphasis on scalability, performance, and security.
Design, implement, and manage APIs to support internal and external integrations.
Apply design patterns and industry best practices to produce clean, maintainable, and efficient code.
Work extensively with SQL and Oracle databases, optimizing queries and troubleshooting performance issues.
Collaborate on cloud development projects, preferably using Azure, to deploy and maintain scalable cloud-based solutions.
Participate in the full software development lifecycle, including requirements gathering, design, coding, testing, and deployment.
Debug and resolve complex technical issues in a timely and efficient manner.

Requirements

Proactive, assertive, and results-driven approach.
Excellent communication skills and the ability to work effectively in a collaborative team environment, including clear communication of risks and issues and managing expectations with management, stakeholders, and peers.
Critical thinker who can develop creative solutions to complex problems and deliver results efficiently.