Cloud Technology

Cloud Technology Data Jobs

69 jobs found

1mo ago

Data Engineer I

Travelers Hartford, CT

Hartford, CT

1mo ago Closed

$109k - $180k/yr Full time Artificial Intelligence Automation AWS

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

In Travelers' data team, the Data Engineer I designs and deploys data pipelines and solutions to support AI, ML, and enterprise analytics, coordinating with multiple teams to ensure data accessibility and actionable insights.

Responsibilities

Develop and operationalize intricate data solutions, identify issues, apply transformations, and recommend cleansing and quality strategies.
Design scalable data architectures and solutions.
Evaluate data sources to assess value and advise which data should feed analytical workflows.
Incorporate core data management practices including governance, security, and quality controls.
Collaborate with teams to support delivery and educate users on data products and the analytics environment.
Analyze data and systems to detect and resolve defects or incidents of moderate complexity, and implement corrective actions.
Test data movement, transformation logic, and data components to validate reliability.
Perform other duties as assigned.

Requirements

Bachelor’s degree in a STEM field or equivalent.
Minimum six years of related experience.
Experience leveraging AI platforms such as OpenAI and AWS Bedrock to drive innovative projects.
Strong technical skills in Python, SQL, AWS, Databricks, and related technologies to develop robust AI applications.
Terraform experience to streamline infrastructure management and deployment.
API design capabilities to enable seamless integrations and features.
Proficiency with cloud platforms, programming languages, and software engineering practices.
Ability to work at a steady, predictable pace to meet commitments, decompose work into small releases, and contribute to tradeoffs and negotiations.
Demonstrated domain expertise and the ability to understand technical concepts within current systems.
Strong problem-solving and debugging abilities to identify root causes in unfamiliar code or systems and address repetitive issues.
Excellent verbal and written communication to engage team members and business partners.
Intermediate leadership skills with a track record of self-motivation and professional growth.
Two additional years of software or data engineering experience.

Technologies

OpenAI
AWS Bedrock
Python
SQL
AWS
Databricks
Terraform

Benefits

Health Insurance
401(k) matching
Pension Plan
Paid Time Off
Wellness Program
Volunteer Encouragement (Matching Gift and Volunteer Rewards)

Salary Range

Salary: USD 109,300 - 180,200 per year

Location

Location: Hartford, CT (onsite)

Education & Experience

Bachelor’s degree in STEM or equivalent
Minimum six years of related experience

Target Openings

Openings: 1

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1mo ago

Senior Data Engineer (Azure Data Factory Databricks, PostgreSQL, Python)

Career Developers Reston, VA

Reston, VA

1mo ago Closed

Full time Python Senior Analytics

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Career Developers is seeking a Senior Data Engineer to design and maintain scalable, production-grade data pipelines within Azure-based environments, leveraging Data Factory and Databricks alongside PostgreSQL and Python to empower analytics and reporting. This on-site role in Reston, VA requires a Bachelor's degree and at least several years of hands-on data engineering experience building reliable data products in enterprise settings.

Responsibilities

Design, build, and maintain scalable production data pipelines supporting enterprise data platforms
Perform exploratory data analysis, statistical analysis, and data validation to support analytics and reporting
Develop and optimize ETL/ELT workflows including job design, orchestration, and performance tuning
Build and maintain relational database schemas, queries, and stored procedures
Work within Azure-based data environments including Data Factory, Databricks, and Data Lake Storage
Collaborate with analytics, BI, and engineering teams to deliver reliable data products
Implement monitoring, logging, and observability for data pipelines
Maintain documentation, data lineage, and governance standards
Participate in architecture discussions and contribute to long-term data platform strategy

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, Information Science, Data Engineering, Finance, or related field (Master's preferred)
5+ years of data engineering experience working with production data pipelines
5+ years of applied data analysis and statistical data work
3+ years of ETL / ELT development experience
3+ years working with relational databases and performance tuning
Experience with Azure data services (Data Factory, Databricks, Data Lake, Synapse, Delta Lake, or similar)
Strong programming experience with Python, PySpark, SQL, and Bash
Experience with Kafka, SAP data services, or similar integration tools preferred
Experience with PostgreSQL, SAP ASE, or comparable databases
Experience with Power BI or BusinessObjects is a plus
Experience with CI/CD pipelines, Git, Kubernetes, and infrastructure-as-code
Knowledge of data governance, cataloging, and access control
Experience with monitoring tools such as Datadog, Grafana, or Prometheus
Ability to work independently while managing multiple priorities
Strong communication and documentation skills
Must be eligible to work in the United States

Technologies

Azure Data Factory
Databricks
Data Lake Storage
Azure Synapse
Delta Lake
Spark
PostgreSQL
SAP Data Services
SAP ASE
Power BI
BusinessObjects
Python
PySpark
SQL
Bash
Kafka
Kubernetes
Git
CI/CD
Datadog
Grafana
Prometheus

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1mo ago

Cloud AI Engineer, Lead

Zebra Technologies Lincolnshire, IL

Lincolnshire, IL

1mo ago Closed

$97k - $145k/yr Full time AI Enablement Artificial Intelligence Automation

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Zebra Technologies offers a hybrid work model with flexible hours, strong professional development opportunities, and a commitment to well being and inclusion. In the lead Cloud AI Engineer role, you will design, build, and scale cloud native AI platforms and AI powered tooling across IT Platform Engineering and Cloud Security. You will partner with stakeholders to translate ideas into concrete, rapid proofs of concept, delivering real value through hands on innovation. The role carries a competitive salary range and a robust benefits package designed to support you and your family.

Benefits

Hybrid work model with flexible hours
Summer Flex Fridays and Focus Fridays
Annual companywide well being day
Healthcare, wellness, and traditional insurances
Inclusion networks and ongoing learning and development
Community service days and parental leave
Employee assistance program and paid time off
Cash incentive programs
Compensation: USD 96,800 - 145,200 per year

Responsibilities

Identify and assess emerging opportunities across Platform Engineering and Cloud Infrastructure that align with business needs and cutting edge technology
Perform comprehensive business and systems analyses, translating complex findings into clear user stories, requirements, and actionable concepts
Lead and execute PoCs and hands on delivery to rapidly validate cloud and platform innovations
Research and report on disruptive technologies such as Generative AI, ML, RPA, and virtual agents, offering strategic recommendations for enterprise adoption
Serve as the primary IT Cloud Innovation Liaison, coordinating across innovation and product teams
Plan and facilitate structured ideation sessions to foster collaborative problem solving
Act as an Innovation Evangelist within IT and the broader enterprise to promote modern engineering practices
Track KPIs and provide leadership visibility into progress and business outcomes of innovation initiatives
Establish and maintain a repeatable operating model for cloud-native AI/ML deployment across GCP and Azure, focusing on pipeline architecture, performance, and compliance
Lead and mentor a high performing team of cloud and AI platform engineers toward predictive log analytics, automation (AIOps), and robust cloud data readiness
Translate AI governance, cloud security guardrails, and regulatory requirements into practical specs; integrate PII masking and RBAC into automated CI/CD pipelines
Manage roadmap alignment within the assigned technology portfolios

Requirements

Bachelor's degree in Computer Science, Electronic Engineering, Computer Engineering or a related field
5+ years in an operations style environment (NOC, SOC, MOC, etc.) with hands on troubleshooting of networking, service desk, operations center or cloud based infrastructure
Hands on Google Gemini Enterprise experience with the ability to build and deploy custom agents using the Agent Development Kit (ADK)
Multi cloud and GenAI platform proficiency including Google Cloud Platform (GCP), Azure, OpenAI, and Anthropic
Experience operating in global, heterogeneous cloud and on premises environments
Practical knowledge of large language models, Retrieval Augmented Generation architectures and agentic AI patterns such as Model Context Protocol, tool calling, and orchestration frameworks
Strong scripting or programming capability, particularly Python; software development background is a plus
Proven track record deploying containerized AI solutions using Kubernetes (GKE/AKS), Docker, and robust CI/CD with measurable outcomes such as high availability and latency reduction
Solid understanding of enterprise cloud security, API security, and fine grained identity systems; experience integrating PII masking and RBAC into automated pipelines
Active professional cloud certifications are highly preferred (eg Google Cloud Professional Cloud Architect, Professional ML Engineer or AI Engineer)
Strong Python based automation, infrastructure provisioning (IaC), and automated testing capabilities

Technologies

Google Gemini Enterprise
Agent Development Kit (ADK)
Google Cloud Platform (GCP)
Azure
OpenAI
Anthropic
Kubernetes (GKE/AKS)
Docker
Python

Location

This is a hybrid role requiring a minimum of three days per week on-site at either our Lincolnshire, IL or Holtsville, NY offices.

Preferred Qualifications

Some exposure to AI or ML systems, application security, or API security is a plus
Travel up to 10 percent

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1mo ago

AWS AI Engineer

Hudson Manpower Cincinnati, OH 🇺🇸 Remote

Cincinnati, OH

1mo ago Closed

Full time AI Amazon Web Services Artificial Intelligence

This position is no longer accepting applications (closed Aug 27, 2026).

Job Description

Hudson Manpower seeks a senior AWS AI Engineer to design and implement retrieval-augmented generation systems, fine-tune large language models, and develop AWS-native microservices that advance automation and governance within an enterprise setting.

Responsibilities

Operate directly with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the deployment of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Proven background in LLM applications, specifically RAG using LangChain and related frameworks.
Design cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support ongoing development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Strong verbal and written English communication skills.

Supervisory responsibilities

None

Requirements

7 years of hands-on software engineering experience with a strong emphasis on Python.
Proficiency with AWS services, notably Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Solid track record implementing retrieval augmented generation architectures and LangChain.
Proven IaC expertise with Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

Python
Bedrock
SageMaker
Lambda
ECS
Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Git
GitHub
Hugging Face
Node.js
Terraform Sentinel
AWS Config
AWS Organizations
SCP

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligible for referral bonuses

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1mo ago

Machine Learning Engineer

Glint Tech Solutions LLC Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

Full time Ai Ml Automation Azure Ml

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

Job Description

Glint Tech Solutions LLC is seeking an experienced Machine Learning Engineer to design, deploy, and scale ML models and pipelines, and to build ML infrastructure on cloud platforms. This onsite role in Sunnyvale, CA collaborates with data science and engineering teams to deliver reliable, scalable AI solutions.

Responsibilities

Design and deploy scalable machine learning models and pipelines using Python and Java
Build and manage ML infrastructure on GCP and Azure cloud platforms
Implement and manage containerized workloads using Kubernetes
Ensure scalability and reliability of ML systems in production environments
Collaborate cross-functionally with data science and engineering teams

Requirements

Hands-on experience with Java and Python
Experience with Google Cloud Platform (GCP) and Microsoft Azure
Hands-on experience with Kubernetes and container orchestration
Strong understanding of scalability and distributed systems

Technologies

Python
Java
GCP
Azure
Kubernetes

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1mo ago

Data Scientist

Leidos Bethesda, MD

Bethesda, MD

1mo ago Closed

$70k - $126k/yr Full time Analytics Artificial Intelligence Big Data

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

Job Description

The Data Scientist role at Leidos focuses on research‑level data analytics, machine learning, natural language processing, and data fusion for national security. This position operates on a research‑oriented team at a customer site in Bethesda, MD, delivering results, publications, and actionable intelligence insights on site.

Job Details

Location: Bethesda, MD (onsite)
Salary: USD 69,550 – 125,725 per year
Minimum Experience: 2+ years
Education: Bachelor's degree or Master's degree (or equivalent graduate degree)

Responsibilities

Collaborate within a compact data science team and with a broader group of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform that produces results, disseminates findings, and supports publications and presentations.
Advance small projects that analyze diverse big data across national security, cyber security, business intelligence, online social media, human behavior, and related domains.
Support multiple concurrent projects and operate under open‑ended or high‑level guidance.
Independently and collaboratively identify discoveries with mission relevance.
Package and convey findings to non‑technical audiences in a clear, actionable manner.
Apply a blend of curiosity, quantitative acumen, and customer focus to identify novel data sources, improve predictive algorithms, and promote user adoption of advanced analytics platforms in partnership with a motivated team.
Leverage expertise in research design, exploratory analysis, quantitative methods, user interface design for applications, and customer outreach to drive impact.

Requirements

Bachelor’s degree in a quantitative or analytical field (including Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science) with 2+ years of experience; or a Master’s degree or equivalent graduate degree with less than 2 years of experience.
Active TS/SCI clearance with the ability to obtain TS/SCI with polygraph.
Experience in data science, analytics, or quantitative intelligence analysis, showing progressive technical development and outcomes.
Proficiency in Python or other scripting languages.
Experience deploying data science applications (for example, using Streamlit) with Docker, Kubernetes, or OpenShift.
Familiarity with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or SQL.
Experience collaborating with a hybrid team of analysts, engineers, and developers to conduct research and develop deployable yet user‑friendly algorithms and analytical platforms.
Previous work in data science or research focusing on data analytics or big data that does not fit into memory.
Proven track record of active learning and creative problem solving.
Ability to analyze software development or data acquisition requirements and determine optimal, cost‑effective solutions.
Familiarity with git or other version control systems.
Demonstrated ability for independent ownership of work and timely delivery with minimal supervision.

Technologies

Python
Streamlit
Docker
Kubernetes
OpenShift
Elasticsearch
Kibana
SQL
git
neo4j
Graph ML
AWS

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1mo ago

AWS AI Engineer

Hudson Manpower Morton Grove, IL 🇺🇸 Remote

Morton Grove, IL

1mo ago Closed

Full time Backend Developer AI Amazon Web Services

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

Job Description

Based in Morton Grove, IL with remote options, this role offers a competitive base salary and a robust benefits package, including medical, dental, and vision coverage, a 401(k) with company match plus potential profit sharing, paid vacation, a training allowance, and referral bonuses. The position centers on building AI and ML applications on AWS, with emphasis on retrieval-augmented generation, fine-tuning large language models, and developing AWS-native microservices for enterprise automation.

Responsibilities

Engage hands-on with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud solutions spanning infrastructure, machine learning workloads, and AI platform services.
Work with LLM based applications, implementing Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, managing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate strong verbal and written communication in English.

Requirements

Proficiency with AWS Bedrock, SageMaker, ECS, and Lambda.
Experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Background in implementing RAG architectures and working with ML tooling including Transformers, PyTorch, TensorFlow, and LangChain.
Solid experience with Infrastructure as Code best practices and building Terraform modules for AWS cloud.
Skill in fine-tuning large language models, building datasets, and deploying ML models to production.
Git-based version control, code reviews, and DevOps workflows.

Technologies

AWS Bedrock
AWS SageMaker
AWS ECS
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Hugging Face
Node.js
Git

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with a company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Referral bonuses

Top Skills

Must Have

AWS services Bedrock, SageMaker, ECS and Lambda
Experience with AWS Organizations and policy guardrails (SCP, AWS Config)
Experience implementing RAG architectures and using ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain
Infrastructure as Code best practices and building Terraform modules for AWS cloud
Fine-tuning large language models, building datasets, and deploying ML models to production
Git-based version control, code reviews, and DevOps workflows

Nice To Have

AWS or relevant cloud certifications
Data privacy and compliance practices (e.g., PII handling, secure model deployment)
Data science background or experience with structured and unstructured data
Exposure to FinOps and cloud cost optimization
Hugging Face, Node.js
Policy as Code development (i.e., Terraform Sentinel)