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11 jobs found

Today

Forward Deployed Software Engineer

South Coast Terminals Houston, TX

Houston, TX

Today

$80k - $130k/yr Full time Backend Developer .NET APIs

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Job Description

South Coast Terminals is hiring a Forward Deployed Software Engineer to build internal software and automations that turn business intent into production-grade tools. Based in Houston, TX (onsite), this role partners closely with Finance, Planning & Logistics, Commercial, Operations, QA/QC, IT, and Transformation to deliver integrations, dashboards, and AI-enabled workflows. Salary range: $80,000 to $130,000 per year. Experience level: 5 to 8 years.

What you’ll build

Working software, automations, integrations, dashboards, and AI-enabled workflows that support finance and accounting, planning and logistics, contract and customer intelligence, and commercial enablement.
Secure AI workflows with permissions, human review, audit logs, source grounding, and clear operating controls.
Internal tools and solutions using relational and NoSQL databases and enterprise platforms such as Microsoft 365, SharePoint, Graph API, Power Platform, Azure, and ERP/business system integrations.
APIs, scripts, dashboards, and integrations that translate operational knowledge into repeatable systems.

How you’ll work

Partner directly with business users to understand processes, decisions, data, pain points, and opportunities.
Translate operational knowledge into clear requirements, technical designs, and production-ready solutions.
Create reusable patterns for requirements, architecture, testing, deployment, monitoring, documentation, and feedback.
Take ownership of selected existing tools, improving reliability, documentation, monitoring, and supportability.
Work with IT on platform operations, including access governance, observability, and reliability.
Collaborate with Transformation and department leaders to prioritize work tied to measurable business outcomes.
Complete other duties as assigned.

Experience & requirements

5 to 8 years of experience in software engineering, systems integration, data engineering, business systems, internal tools, or IT automation.
Strong SQL skills with experience using relational and NoSQL databases.
Experience with Python, TypeScript/JavaScript, C#, or another practical production language.
Experience building APIs, scripts, automations, dashboards, integrations, or internal applications.
Experience with Azure and familiarity with GitHub or modern source control.
Practical understanding of authentication, permissions, logging, monitoring, deployment, documentation, and production support.
Manufacturing, logistics, finance operations, ERP, industrial operations, or supply chain experience preferred.
Data modeling, Docker, CI/CD, cloud infrastructure, or AI/LLM workflow experience a plus.

Technology areas

SQL, relational databases, NoSQL databases, Microsoft 365, SharePoint, Graph API, Python, TypeScript/JavaScript, Power Platform, Azure, ERP/business system integrations, APIs, GitHub, C#, Docker, CI/CD, AI/LLM.

Benefits at South Coast Terminals

401(k) with 6% match
AD&D insurance, Disability insurance, Life insurance
Health, Dental, Vision insurance, and dependent health insurance coverage
Health savings account
Employee assistance program
Paid holidays, Paid time off, Parental leave
Retirement plan, Tuition reimbursement
Wellness program

Work location: In person.

Pay: $80,000.00 to $130,000.00 per year.

South Coast Terminals offers competitive salaries and great benefits, including Medical, Dental & Life Insurances, Disability Insurances, and 401k. The company is an Equal Opportunity Employer and does not discriminate against applicants due to veteran status or on the basis of disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, or gender identity.

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Today

Data Engineer

D&G Support Services, LLC St. Louis, MO

St. Louis, MO

Today

$125k - $150k/yr Full time Backend Developer Azure Big Data

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Job Description

St. Louis, MO onsite role with a $125,000 to $150,000 yearly salary range. D&G Support Services, LLC supports USTRANSCOM’s Global Bulk Fuel Management and Delivery mission by building foundational data capabilities for the Joint Petroleum Enterprise (JPE). You will design and maintain pipelines, APIs, and integrations that help enable bulk fuel data collection, management, and consumption across the Department of Defense.

What you’ll do

Build core data engineering capabilities that feed enterprise stakeholders and support data-driven decision-making for the Common Operating Picture (COP) and related integration efforts. This includes designing scalable ingestion and transformation processes, enabling standardized enterprise data access, and coordinating metadata and governance artifacts.

Develop and maintain data pipelines that ingest data into Databricks and support integration with Palantir Ontology and other enterprise platforms.
Collaborate with cross-functional teams to support COP development and data integration activities.
Review and analyze JPE data sources, including applications, websites, programs, and operational systems, to find opportunities for integration and enhancement.
Design and implement scalable ingestion processes that transform source data into structured formats for enterprise consumption and API development.
Develop, publish, and maintain APIs that provide standardized access to enterprise data across the JPE.
Partner with stakeholders to manage enterprise data dictionaries, metadata repositories, and data governance artifacts.
Administer data structures, data topics, and data engineering processes while applying industry best practices.
Support technical working groups and stakeholder meetings for metadata requirements, data modeling, architecture decisions, and tool selection.
Contribute to preparation of presentations and technical materials for USTRANSCOM, Joint Staff, and Office of the Secretary of Defense governance forums.
Provide technical recommendations for enterprise data modernization initiatives.
Complete additional projects and tasks assigned by program leadership.

Required qualifications

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
5+ years of experience in data engineering, software development, or related technical discipline.
Strong proficiency with SQL and Python.
Experience building and maintaining pipelines using Apache Spark, Kafka, or similar technologies.
Experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.
Experience designing and implementing data integration solutions.
Ability to communicate effectively with technical and non-technical stakeholders.
Active Secret clearance with eligibility to obtain and maintain a TS/SCI.

Skills and experience that help

Databricks experience.
Palantir Ontology experience.
Experience with data warehousing, ETL processes, and enterprise data management.
API development and RESTful web services experience.
Data modeling techniques and metadata management experience.
Experience with Maven Smart Systems or similar logistics and supply chain platforms.
Experience supporting the Department of Defense, Defense Logistics Agency (DLA), or USTRANSCOM.
Experience in Agile development environments.

Benefits

Competitive salary
Benefits
401(k)
Bonus and profit sharing
Flexible hours
Education reimbursement
PTO

Technology stack

SQL, Python, Databricks, Palantir Ontology, Apache Spark, Kafka, AWS, Microsoft Azure, Google Cloud Platform

Eligibility and location

Secret clearance with ability to obtain and maintain TS/SCI.
Ability to travel within CONUS up to approximately 10%.
Restricted to U.S. persons as defined under 8 U.S.C. 1324b(a)(3).
Onsite at Scott Air Force Base, Illinois.

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Today

Data Scientist / Machine Learning Engineer

CorTech Auburn Hills, MI

Auburn Hills, MI

Today

Full time Artificial Intelligence Automation Cloud

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Job Description

CorTech is seeking a Data Scientist / Machine Learning Engineer to design, develop, and deploy AI and deep learning solutions for the automotive industry. The role focuses on practical model delivery across computer vision, predictive maintenance, anomaly detection, and generative AI initiatives, with close collaboration across teams.

Role Responsibilities

Design, develop, and deploy AI models, including computer vision and generative AI, to address complex automotive challenges.
Partner with cross-functional teams to understand business needs and identify where machine learning can create measurable value.
Use generative AI models to support innovation in design, R&D, and manufacturing processes.
Optimize existing machine learning models for performance and scalability, leveraging CUDA advanced GPU architectures and parallel computing frameworks.
Design and implement end-to-end machine learning pipelines for data preprocessing, model training, and performance evaluation.
Implement machine learning solutions using Python and deep learning frameworks including PyTorch and TensorFlow.
Apply statistical techniques and machine learning algorithms to solve domain-specific problems in the automotive sector.
Track advances in data science, machine learning, deep learning, and AI, and apply new techniques to support continuous innovation.
Develop and maintain documentation for data analysis methods, model development, and deployment processes to support reproducibility and compliance with industry standards.

Required Qualifications

PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Proven experience in machine learning, deep learning, and AI.
Strong command of Python, CUDA, and GPU architectures for parallel computing and model optimization.
Solid knowledge of machine learning architectures and techniques, with emphasis on computer vision and generative AI.
Proficiency with deep learning frameworks such as PyTorch and TensorFlow.
Experience with parallel computing and optimization for high-performance computing environments.
Ability to work collaboratively and communicate complex ideas clearly to non-technical stakeholders.
Innovative mindset and strong interest in solving challenging problems and advancing technical capabilities.
Strong analytical skills, including interpreting complex data and turning results into strategic insights and practical solutions.
Minimum 5 years of experience in a machine learning engineering role, preferably in automotive or a related sector.
Demonstrated experience building and deploying machine learning models for real-world applications.
Self-directed approach with interest in ongoing learning and professional development.
Experience with Agile and a cloud provider such as Azure would be a plus.

Education

PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Location

Auburn Hills, MI (onsite)

Minimum Experience

5 years

Technologies

Python
CUDA
PyTorch
TensorFlow
CUDA advanced GPU architectures
Parallel computing frameworks
Agile
Azure

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1d ago

Senior Data Engineer (Must have Microsoft Fabric!)

MMD Services, Inc Downers Grove, IL

Downers Grove, IL

1d ago

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

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Job Description

The Senior Data Engineer role at MMD Services, Inc is a hands-on position focused on designing and prototyping data solutions across the Microsoft Azure stack. The role includes close alignment with C-suite stakeholders and ownership of key architecture decisions, with a specific requirement for Microsoft Fabric experience.

Location and Work Style

Location: Downers Grove, IL (hybrid)
Compensation: USD 65 - 85 per hour
Minimum Experience: 5+ years

Key Responsibilities

Design and architect data solutions across the Microsoft Azure stack, with direct, hands-on build responsibility rather than relying only on design documentation.
Create prototypes and proofs of concept to validate architecture decisions prior to full-scale development.
Translate C-suite requirements and business KPIs into clear, actionable technical user stories for the engineering team.
Provide technical guidance and mentorship to a team of mid-level and junior engineers supported by an external vendor.
Act as the primary technical liaison between developers and business or executive stakeholders.
Own architecture decisions for Synapse and Data Factory pipelines, with a focus on scalability and performance.
Contribute to the organization’s AI roadmap, including AI POCs, Microsoft Copilot rollout, and early agentic AI initiatives.
Present technical strategy and progress updates to non-technical executive audiences.

Required Qualifications

5+ years of hands-on experience in data architecture or lead data engineering roles.
Hands-on architecture and lead engineering experience, including the ability to design systems and build prototypes.
Strong Microsoft Azure stack experience, including Azure Synapse and Data Factory.
Experience with Microsoft Fabric.
Strong Python and SQL skills (PySpark is a plus).
Exceptional communication skills, including the ability to connect 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, especially helpful as a bridge if you do not yet have Fabric hands-on time.
Interest or experience in AI, particularly agentic AI agents, Copilot, or similar tools.

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1d ago

GenAI Developer - Manager

EY McLean, VA

McLean, VA

1d ago

$126k - $262k/yr Full time Backend Developer Manager Anthropic

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Job Description

EY’s Government and Public Sector Technology Consulting team (AI & Data) is looking for a GenAI Developer Manager to help clients build and sustain scalable, robust applications that blend modern web frameworks with AI models, including generative AI. The role supports government initiatives by translating data science and big data technologies into solutions that unify, enrich, and analyze data from multiple sources.

This onsite position is based in McLean, VA and focuses on both application delivery and the practical integration of generative AI into web-based products, working closely with AI/ML engineers to drive quality and product excellence.

Key Responsibilities

Design and optimize applications that leverage modern web frameworks and AI models.
Support government clients with delivering data science and big data technologies and practices to design, build, and maintain scalable and robust solutions.
Implement generative AI models.
Collaborate with AI/ML engineers.
Develop web applications.
Ensure quality and product excellence.

Required Qualifications

Bachelor’s degree.
Must be eligible to obtain and maintain a Secret Clearance.
At least 6-8+ years of overall relevant professional experience, including modern web development (for example, JavaScript/TypeScript).
At least 6-8+ years of overall relevant professional experience, including backend development (for example, Node.js, Python, FastAPI, or similar).
At least 6-8+ years of overall relevant professional experience, including integrating generative AI models into applications (for example, via APIs or fine-tuned models).
At least 6-8+ years of overall relevant professional experience, including deploying applications on cloud platforms (for example, AWS, Azure, Vercel, etc.).
2+ years of GenAI experience, including understanding of statistical modeling and skills in ETL, data ingestion/cleansing.
Machine learning experience including k-NN, naive bayes, decision trees, and SVM.
Experience using data mining and statistical tools.
Solid pattern recognition and predictive modeling skills.
Experience with recommendation engines, scoring systems, and A/B testing.
Experience with multiple tools and libraries such as Weka, NumPy, PyMongo, R, etc.
Hands-on experience with various big data technologies in one or more ecosystems (for example, Hadoop, AWS, or Microsoft).
Comfortable working in-person as needed.
Experience deploying applications on cloud platforms (for example, AWS, Azure, Vercel, etc.).

Technologies

JavaScript, React, Next.js, Svelte, Vue, Remix, React Router
Python, FastAPI, Node.js
AWS, Azure, Vercel
openAI, Anthropic, open-source LLMs, OpenAI APIs
Hortonworks, Open Source, Hadoop, Microsoft
Weka, NumPy, PyMongo, R
k-NN, naive bayes, decision trees, SVM
ETL, data ingestion/cleansing
Vector databases including Pinecone and Weaviate, plus RAG
fine-tuning models, APIs, A/B testing

Benefits

Comprehensive compensation and benefits package with performance-based rewards.
Medical and dental coverage.
Pension and 401(k) plans.
Paid time off options.
Team-led, leader-enabled hybrid model, with external client-serving roles working together in person 40-60% of the time over an engagement, project, or year.
Flexible vacation policy to decide how much vacation time is needed.
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

Ideally, You’ll Also Have

Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines.
Experience with vector databases (Pinecone, Weaviate) and AI inference optimizations.
Experience with open-source AI and web projects.
Experience with RAG or fine-tuning models.
Thorough business understanding of data science application and the ability to communicate with key decision-makers.
Communication skills, including actively listening, understanding questions, and developing clear insights.

Compensation: USD 125,500 - 261,600 per year.

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1d ago

Associate Data Engineer (Python / Azure)

Huxley Charlotte, NC

Charlotte, NC

1d ago

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

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Job Description

This early-career Associate Data Engineer role in Charlotte, NC supports financial crime analytics within the Anti-Money Laundering (AML) domain. You will design, build, and deliver data-driven solutions using the Quantexa platform in an agile delivery environment.

Responsibilities

Partner with business stakeholders and product owners to clarify requirements, define acceptance criteria, and convert use cases into user stories and business rules.
Review source systems and enterprise datasets to establish data mappings, transformation logic, and data quality rules that align with Quantexa standards.
Design, build, and maintain data pipelines and transformations that enable 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, including sprint planning and backlog refinement, to ensure the delivery team clearly understands requirements.
Document data logic, mappings, and solution design to support transparency, auditability, and effective knowledge transfer.
Detect data inconsistencies, inefficiencies, or reliability risks and propose improvements to enhance solution performance.
Contribute to unit testing and validation to confirm solutions meet defined business and technical standards.

Requirements

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

Core Skills and What You Will Apply

Stakeholder collaboration: Translate business needs into acceptance criteria, user stories, and business rules.
Data analysis and mapping: Define mappings and transformation logic, along with data quality rules aligned to Quantexa.
Pipeline development: Build and maintain pipelines supporting analytics, reporting, and investigation workflows.
Quantexa configuration: Support entity resolution, network modeling, scoring logic, validation, and UI components.
Documentation: Maintain clear records of data logic, mappings, and solution design.
Data quality improvement: Identify issues impacting performance and recommend changes.
Testing support: Help validate solutions through unit testing and checks against business and technical standards.

Technologies

Python, Java
Azure, Databricks
Git
JIRA
Confluence

Role Details

Location: Charlotte, NC (hybrid/onsite as determined by client)
Salary: USD 100,000 per year
Domain: Financial Crime Analytics (AML)
Platform: Quantexa (entity resolution, network analytics, risk scoring)
Engagement: Full-time
Delivery approach: Agile (sprint planning, backlog refinement, iterative delivery)

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1d ago

Software Engineer

Capgemini Atlanta, GA

Atlanta, GA

1d ago

$54k - $122k/yr Full time Backend Developer API APIs

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Job Description

Capgemini is hiring a Senior Software Development Engineer for a Hybrid role based in Atlanta, supporting the delivery of scalable, cloud-native applications and modern user experiences. The position combines strong Java backend development with modern frontend engineering, along with integrations for event-driven systems and Generative AI/LLM APIs.

Role Overview

In this role, you will contribute to the design, development, and continuous improvement of scalable, high-quality solutions. You will work with cross-functional teams to deliver technology that supports business value and enhances client experiences, including APIs, microservices, and user interfaces built with React.

Key Responsibilities

Design, develop, and maintain enterprise applications using Java, Spring Boot, and microservices.
Build responsive, modern user interfaces using React, JavaScript, and TypeScript.
Develop and integrate REST and GraphQL APIs and related web services.
Design cloud-native solutions leveraging AWS, Azure, or GCP.
Implement event-driven architectures using Kafka or RabbitMQ.
Integrate Generative AI/LLM APIs (including OpenAI, Anthropic, or Gemini) into business solutions.
Work with SQL and NoSQL databases including PostgreSQL, Oracle, MongoDB, and Redis.
Develop Python-based components for automation, services, and data processing.
Collaborate with cross-functional teams to deliver scalable and secure solutions.
Support CI/CD pipelines, application reliability, performance optimization, and code quality.

Required Qualifications

5+ years of software development experience.
Strong expertise in Java, Spring Boot, microservices, and API development.
Hands-on experience with React, JavaScript, TypeScript, HTML, and CSS.
Experience with AWS, Azure, or GCP.
Knowledge of Generative AI APIs and LLM integrations.
Strong understanding of distributed systems, asynchronous programming, and event-driven architectures.
Experience with relational and NoSQL databases.
Familiarity with CI/CD, Agile methodologies, and software development best practices.

Technologies

Java, Spring Boot, microservices, React, JavaScript, TypeScript, REST, GraphQL, AWS, Azure, GCP, Kafka, RabbitMQ, OpenAI, Anthropic, Gemini, SQL, NoSQL, PostgreSQL, Oracle, MongoDB, Redis, Python, HTML, CSS, CI/CD, Agile, 401(k), RRSP

Compensation

USD 53,580 - 122,400 per year.

Location

Atlanta, GA (Hybrid)

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation (12-25 days depending on grade), Company paid holidays, Personal Days, Sick Leave.
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada).
Life and disability insurance.
Employee assistance programs.
Other benefits as provided by local policy and eligibility.

Preferred Candidate Profile

The ideal candidate is a full-stack engineer with expertise in Java, React, microservices, cloud, and AI integrations, able to build scalable, high-performance applications while collaborating effectively across teams.