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We're seeking a Fullstack Cloud/DevOps Developer with strong backend experience and hands-on exposure to Azure environments. This role blends fullstack development with DevOps fundamentals, supporting CI/CD pipelines and cloud integrations across modern applications.

DevOps developer Washington, District Of Columbia (Hybrid) Experience: 8+ Note: W2 only DevOps developer: ANGULAR front end.. PYTHON OR NODE JS PREFERED 3y+ experience in backend technologies (node.js or python) Practical experience with Azure and managing integrations between services Experience with CI/CD Setup The ability to manage integrations between frontend and APIs Practical experience in package version management and version patching Show less

Location & Work Type Location: New York City, New York Work Type: Onsite Key Responsibilities Provide Level II desktop support for Windows 10 and MacOS environments. Prior Level II desktop or on-site IT support experience.

Develop scalable data pipelines using PySpark, Spark SQL, and Databricks workflows. Cloud & Platform Expertise Architect solutions across Azure/AWS/Google Cloud Platform leveraging native cloud services (e.g., Azure Data Factory, AWS Glue, Google Cloud Platform Dataflow).

Apply via Dice today! Start/End Dates: 2/10/2026 - 8/21/2026 Job Title: _Database Administrator Bill Rate: 60 - 80 52.8$ - 70.4$ ON W-2 apply Only who are okay with W2 Acceptable visas : H1B, S Location: ~NEW YORK~NEW YORK~NEW YORK~NEW YORK~ Duration: 6 months Exp 5-6 Perform troubleshooting and maintenance of multiple databases.

Role Overview We are seeking an experienced Data Specialist to support data modeling, integration, and analysis initiatives across structured data systems. Key Responsibilities Data Modeling & Management Design, review, and maintain relational data models and schemas Map existing datasets to standardized data structures Validate data completeness, accuracy, and consistency across systems Data Analysis & Engineering Support Develop and execute complex SQL queries for analysis and validation Use Python or similar languages for data transformation and automation Support backend data workflows and structured data pipelines Data Integration & APIs Support the design, testing, and maintenance of APIs and data exchange mechanisms Work with internal and external systems to enable secure and reliable data sharing Troubleshoot integration and interoperability issues Documentation & Governance Document data definitions, schemas, workflows, and technical specifications Support data governance processes including version control and change management Contribute to data standards and best practices Stakeholder Collaboration Work cross-functionally with engineering, product, analytics, and business teams Communicate technical findings clearly to non-technical stakeholders Support project delivery by tracking tasks, milestones, and dependencies Required Qualifications Bachelor’s degree in a quantitative, technical, or analytical discipline (or equivalent experience) 3+ years of hands-on experience working with structured data systems Strong proficiency in SQL and working knowledge of Python or similar languages Experience with relational databases and data modeling concepts Familiarity with APIs and data integration workflows Strong analytical and problem-solving skills Ability to work independently and deliver against tight deadlines Preferred Qualifications Experience supporting backend data infrastructure in regulated or data-intensi...

Job Title - Data Engineer // Scientist Location - Seattle WA Length - Contract (6 Months+) Job Description: Access, cleanse, compile and transform disparate data sets to conduct exploratory and pre-defined analyses using scientifically valid techniques and generate meaningful insights Assist with feasibility studies to identify data availability, quality and modeling requirements and dependencies Support modern data storage, movement, and transformation architectures and techniques to extract and engineer features from any scale structured or unstructured data in health, IT system, business process, or external data Contribute to discovery or engineering of explanatory features in high-dimensionality collections of data that relate to clinically, financially, and/or operationally important use-cases using scientifically valid techniques Support iterative selection and application of modern statistical and machine learning techniques and evaluation methods to engineered features to derive a best candidate model Interact with business teams and leaders to identify relevant questions and issues for data analysis and experimentation that support business needs or problems. Engineer will be part of a 5 member team building Dashboards to provide insights.