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8 jobs found

Today

Senior Data Engineer (Must have Microsoft Fabric!)

MMD Services, Inc Downers Grove, IL

Downers Grove, IL

Today

$65 - $85/hr Full time Backend Developer Senior Azure

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Job Description

Senior Data Engineer role focused on hands-on data architecture and prototyping across the Microsoft Azure stack, working closely with executive stakeholders and contributing to AI initiatives.

Design and architect data solutions across the Microsoft Azure stack, with direct hands-on build responsibility
Build prototypes and proofs of concept to validate architecture decisions before full-scale implementation
Translate C-suite requirements and KPIs into clear, actionable technical user stories for the engineering team
Provide technical direction by guiding and mentoring a team of mid-level and junior engineers supplied by an external vendor
Act as primary technical liaison between developers and business/executive stakeholders
Own architecture decisions for Synapse and Data Factory pipelines, focusing on scalability and performance
Contribute to the AI roadmap through AI POCs, Microsoft Copilot rollout, and early agentic AI initiatives
Present technical strategy and progress updates to non-technical executive audiences

Requirements

5+ years of hands-on experience in data architecture or lead data engineering roles
Hands-on architecture and lead engineering experience (design systems and build prototypes, not only advise)
Strong Microsoft Azure stack experience, including Azure Synapse and Azure Data Factory
Microsoft Fabric experience (must have)
Strong Python and SQL skills ( PySpark is a plus)
Exceptional communication skills to bridge technical and non-technical audiences
Experience guiding and mentoring junior and mid-level engineers

Technologies

Microsoft Azure
Azure Synapse
Data Factory
Microsoft Fabric
Python
SQL
PySpark
Databricks
Microsoft Copilot

Benefits

Flexible schedule

Nice to Have

Databricks experience (considered a bridge if you do not yet have Fabric hands-on time)
Interest or experience in AI, especially agentic AI agents, Copilot, or similar tools

Location: Downers Grove, IL (hybrid)

Pay: USD 65 - 85 per hourly

Experience: 5 years minimum

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Today

Associate Data Engineer (Python / Azure)

Huxley Charlotte, NC

Charlotte, NC

Today

$100k - $100k/yr Full time Backend Developer Python Azure

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Job Description

Huxley is hiring an early-career Associate Data Engineer in Charlotte, NC (hybrid/onsite as determined by the client) to help deliver data solutions for financial crime analytics, focused primarily on Anti-Money Laundering (AML). In this role, you will support an agile delivery approach while designing, building, and delivering data-driven capabilities on the Quantexa platform.

You will work closely with business stakeholders and product owners to turn use cases into clear requirements, then build the data pipelines and transformations that enable analytics, reporting, and investigative workflows. The work spans data mapping, data quality rules, Quantexa configuration, and validation activities to ensure solutions meet defined standards.

What you’ll do

Collaborate with business stakeholders and product owners to clarify requirements, define acceptance criteria, and convert use cases into user stories and business rules.
Analyze source systems and enterprise datasets to define data mappings, transformation logic, and data quality rules aligned with Quantexa standards.
Design, build, and maintain data pipelines and transformations that support analytics, reporting, and investigative workflows.
Configure and support end-to-end Quantexa solutions, including entity resolution, network modeling, scoring logic, validation, and UI components.
Participate in agile ceremonies such as sprint planning and backlog refinement to ensure delivery team requirements are well understood.
Document data logic, mappings, and solution design to support transparency, auditability, and knowledge transfer.
Identify data inconsistencies, inefficiencies, or reliability risks and recommend improvements to enhance solution performance.
Contribute to unit testing and validation to ensure solutions meet business and technical standards.

Requirements

Working knowledge of Python or Java, relational data models, and cloud platforms including Azure and Databricks.
Familiarity with tools including Git, JIRA, and Confluence.
Location: Charlotte, North Carolina (onsite/hybrid as determined by client).
Experience level: Early-career / junior-level data engineer.
Domain focus: Financial Crime Analytics, primarily Anti-Money Laundering (AML).
Platform: Quantexa (entity resolution, network analytics, risk scoring).
Employment type: Full-time.
Methodology: Agile (sprint planning, backlog refinement, iterative delivery).

Technologies

Python, Java
Azure, Databricks
Git, JIRA, Confluence

Salary: USD 100,000 per year.

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1d ago

AI Engineer

Chevron Houston, TX

Houston, TX

1d ago

Full time Backend Developer .NET Agentic Ai

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Job Description

Chevron is seeking an AI Engineer in Houston, TX to modernize data foundations and deliver AI and ML accelerators across the organization.

Design and develop AI and Machine Learning solutions
Design and develop agentic solutions using Microsoft Foundry and Azure Cognitive Services
Build software solutions using Python and/or Typescript and/or C#
Design and implement AI plugins, skills, and MCP servers
Orchestrate large-scale data processing and distributed model training workloads
Collaborate with business and technical stakeholders to identify AI opportunities
Lead cross-functional initiatives and partner with product managers to define requirements
Apply software engineering best practices including testing, source control, architecture reviews, and CI/CD

Requirements

Experience designing, developing, and deploying software solutions (Python preferred)
Experience building AI-enabled applications using machine learning and/or generative AI technologies
Experience with agentic AI frameworks, AI orchestration platforms, or related AI development patterns
Experience developing cloud-native solutions using Microsoft Azure services
Demonstrated software engineering practices: source control, testing, code reviews, and CI/CD
Strong written and verbal communication skills for collaboration across technical and business teams
Demonstrated ability to rapidly learn and apply new technologies, frameworks, and approaches in a fast-changing AI environment

Technology Focus

Microsoft Foundry
Azure Cognitive Services
Python
Typescript
C#
MCP servers
Microsoft Azure
CI/CD

Location

Houston, TX (onsite)

Relocation and International Considerations

Relocation will not be considered
Expatriate assignments will not be considered
Candidates requiring employment visa sponsorship cannot be considered for this position
Candidates on time-limited Visa status cannot be considered for this position

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1d ago

Azure Data Engineer

AI Fire Remote 🌍 Remote

Remote

1d ago

Full time Analytics Azure Azure Data Factory

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Job Description

AI Fire is building scalable data warehouse capabilities to support data-driven decision making, with an emphasis on reliable pipelines, standardized data, and efficient cloud infrastructure. In this role, you will design, develop, and maintain Azure-based data solutions, including migrating data from small business ERP platforms into its NetSuite ERP system.

What you’ll do

Design and implement efficient data pipelines using Azure Fabric, Data Factory, Databricks, and Synapse Analytics
Develop ETL/ELT processes to ingest, transform, and load large volumes of data
Create and maintain data models, Lakehouse architecture, and data warehousing solutions
Collaborate with business analysts and business stakeholders to understand data requirements
Monitor and optimize data workflows for performance and cost
Ensure data quality, security, and compliance with governance standards
Automate data validation and testing procedures
Build dashboards as needed in Power BI
Normalize and clean data

What you’ll need

Strong proficiency in Azure data services: Fabric, Data Factory, Databricks, Synapse, Logic Apps, Azure SQL, etc.
Experience with Python, SQL, Spark, or Scala
Experience with Workflow Definition Language (WDL)
Experience with Celigo
Solid understanding of cloud architecture and data lake principles
Familiarity with CI/CD tools and DevOps practices in Azure
Working knowledge of data governance, privacy, and security practices
Certification: Microsoft Certified Azure Data Engineer Associate
Understanding of general data in ERP systems
Experience with Power BI and Power Apps
Knowledge of machine learning workflows and integration
Analytical mindset and strong problem-solving and communication skills
Ability to work in a fast-paced, agile environment with strong teamwork
Experience with other platforms such as AWS data fabric (Redshift, Glue, Athena) or Databricks will also be considered
Bachelor’s degree in Computer Science, Engineering, or a related field

Technologies you’ll work with

Azure Fabric, Azure Data Factory, Databricks, Synapse Analytics
ETL/ELT, Lakehouse architecture
Power BI, Power Apps
Python, SQL, Spark, Scala
Workflow Definition Language (WDL), Celigo, Logic Apps, Azure SQL
CI/CD, DevOps practices in Azure
Machine learning workflows and integration
AWS data fabric (Redshift, Glue, Athena)
NetSuite ERP, ERP systems

Benefits

Competitive compensation
Pay on a weekly cycle, every Friday
Career Advancement Opportunities
Competitive benefits including healthcare, dental, vision, life insurance, paid time off, and holidays
Company paid short and long-term disability
Immediately vested 401(k) company match
Full-time employees participate in a Shared Ownership Program offering a monetary bonus aligned to the company’s long-term success
Exceptional guidance and support from managers
Collaborative culture and environment
Opportunity to work alongside talent in the fire protection industry

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1d ago

AI Engineer

GEI Consultants Dallas, TX

Dallas, TX

1d ago

$110k - $150k/yr Full time Analytics Artificial Intelligence Azure

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Job Description

GEI Consultants is seeking an AI Engineer to develop, deploy, and integrate AI solutions into business workflows. In this role, you will help deliver AI Solutions Factory use cases by implementing production-ready capabilities that are secure, scalable, maintainable, and measurable for reliability, performance, and cost.

This position is based in Dallas, TX with onsite work arrangements. The pay range for this role is $110,000.00–$150,000.00 per year, and candidates should have 4+ years of relevant software engineering experience, including hands-on work building Generative AI applications.

Responsibilities

Build and deploy AI-based solutions using pretrained models and Copilot technologies.
Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
Integrate AI capabilities into business workflows and applications.
Securely integrate enterprise data sources, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
Provide technical support and troubleshooting for deployed AI solutions.
Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Requirements

4+ years of software engineering experience, including at least 1 year building Generative AI applications.
Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Experience delivering Generative AI (LLM) solutions, preferably on Azure.
Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, plus other frameworks such as Databricks Mosaic.
Knowledge of big data technologies such as Spark and Databricks; TensorFlow and PyTorch are a plus.
Knowledge of Azure cloud services including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and how they integrate with ML workflows.
Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (for example, Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

Technologies

Python, PySpark, R, SQL
Generative AI, Large Language Models (LLMs)
Copilot technologies, Copilot Studio
Azure Functions
Azure AI library APIs (GPT, Codex, DALL·E)
Databricks Mosaic, Spark, Databricks
TensorFlow, PyTorch
Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services
Power BI
Retrieval-augmented generation (RAG)
APIs, Graph connectors, event-driven patterns

Benefits

Market-Competitive Compensation, including eligibility for an Annual Performance Bonus.
Pay Range For This Position: $110,000.00–$150,000.00/year.
Comprehensive Benefits Program including Medical, Dental, Vision, Life, Disability, and more.
Well-Being Program and Paid Parental Leave.
Commuter Benefits.
Hybrid Work Schedules and Cell Phone Stipends.
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement.
Connecting Conversation Program focused on Professional Development and opportunities for Advancement.
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses.
Paid Holidays and a Generous Paid Time Off Program.
Rewards and Recognition.
GEI-Funded Profit Sharing and 401(k).
Opportunity to be an Owner and Shareholder.
A vibrant culture focused on partnership, sustainability, giving back to communities, and diversity, equity, and inclusion.

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2d ago

Lead Data Scientist

Copper Hill Charlotte, NC

Charlotte, NC

2d ago

Full time Backend Developer Manager Analytics

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Job Description

Lead advanced analytics and machine learning initiatives for a SaaS platform in a hybrid role based in Charlotte, NC.

Responsibilities

Lead development of data validation methodologies
Build and lead delivery of predictive models and machine learning solutions
Create training materials explaining Generative AI vs AI writ large
Define data science methodologies and best practices
Mentor data scientists and analysts
Translate business requirements into analytical solutions
Develop machine learning models for classification, regression, clustering, and forecasting
Optimize model performance and accuracy
Establish testing methodologies to measure performance on queries across frontier model providers (e.g., OpenAI, Anthropic, Perplexity, Cohere)
Implement reinforcement learning structures supporting different AI model providers
Develop experimentation frameworks and A/B testing approaches
Collaborate with engineering teams to design scalable data pipelines
Support production deployment of models
Ensure data quality and reproducibility
Partner with Product Management on data-driven product features
Embed machine learning capabilities into the SaaS platform
Design APIs and services that expose model outputs to the application
Develop solutions using Microsoft Azure data services
Work with SQL Server and large structured datasets
Support model deployment and monitoring in cloud environments

Requirements

7+ years of experience in data science or machine learning
Experience deploying machine learning models into production systems
Strong experience with Python or R, SQL, and machine learning frameworks

Technologies

Microsoft Azure
SQL Server
C#
Angular
Python
R
OpenAI
Anthropic
Perplexity
Cohere

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Work Location

Hybrid remote in Charlotte, NC

Reports To

Vice President of Engineering

Employment Type

Full-Time

Preferred Experience

Experience with Azure Machine Learning or cloud ML platforms
Experience working with enterprise datasets or SaaS platforms
Advanced degree in Data Science, Computer Science, Statistics, or related field

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2d ago

Lead Data Scientist

Copper Hill Livonia, MI

Livonia, MI

2d ago

Full time Manager Artificial Intelligence Azure

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Job Description

As a Lead Data Scientist, you will drive advanced analytics and machine learning that power Copper Hill’s SaaS platform.

Responsibilities

Lead development of data validation methodologies to ensure reliable inputs and outputs
Develop predictive models and machine learning solutions for product and customer impact
Create training materials explaining Generative AI versus AI writ large
Establish data science methodologies and best practices across projects
Mentor data scientists and analysts through technical guidance and review
Translate business requirements into analytical approaches and deliverable solutions
Build machine learning models including classification, regression, clustering, and forecasting
Optimize model performance and accuracy over time
Define testing methodologies to measure performance of models on queries against multiple frontier model providers (OpenAI, Anthropic, Perplexity, Cohere)
Implement reinforcement learning structures targeting different AI model providers
Develop experimentation frameworks and A/B testing methods
Collaborate with engineering teams to design scalable data pipelines
Support production deployment of models and ongoing readiness for release
Ensure data quality and reproducibility across datasets and model runs
Partner with Product Management to develop data-driven product features
Embed machine learning capabilities into the SaaS platform
Design APIs and services that expose model outputs to the application
Develop solutions using Microsoft Azure data services
Work with SQL Server and large structured datasets
Support model deployment and monitoring in cloud environments

Requirements

7+ years of experience in data science or machine learning
Experience deploying machine learning models into production systems
Strong experience with Python or R, SQL, and machine learning frameworks

Technologies

Microsoft Azure
SQL Server
C#
Angular
SQL
Python
R
Generative AI
AI writ large
OpenAI
Anthropic
Perplexity
Cohere
A/B testing
Reinforcement learning

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Reporting Line

Vice President of Engineering

Employment Details

Full-Time
Hybrid remote
Livonia, MI 48151

Preferred Experience

Experience with Azure Machine Learning or other cloud ML platforms
Experience working with enterprise datasets or SaaS platforms
Advanced degree in Data Science, Computer Science, Statistics, or related field

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2d ago

Data Engineer

BioAgilytix Durham, NC

Durham, NC

2d ago

Full time Backend Developer Analytics API

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