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432 results for Senior Data Engineer jobs

Senior Data Engineer
  • Philadelphia, PA
  • remote
  • Temporary
  • 56 - 65 USD / Hourly
  • <p><strong>Overview</strong></p><p>We are seeking a Senior Data Engineer to support a major Salesforce Phase 2 data migration initiative. This role will focus heavily on building and optimizing data pipelines, developing ETL workflows, and moving CRM data from Salesforce into Databricks.</p><p>The engineer will work closely with a senior team member, contribute to Scrum ceremonies, and play a key role in developing the core CRM data environment used by the advertising organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Data Engineering &amp; Migration</strong></p><ul><li>Develop ETL jobs that move and transform Salesforce data into Databricks.</li><li>Build, test, and maintain high‑volume data pipelines across AWS + Databricks.</li><li>Perform data migration, data integration, and pipeline development (including Mulesoft-related work).</li><li>Ensure all pipelines are reliable, scalable, and optimized for production.</li></ul><p><strong>Development &amp; Infrastructure</strong></p><ul><li>Use Python and PySpark to build ETL components and transformation logic.</li><li>Leverage Spark/PySpark for distributed processing at scale (must‑have).</li><li>Use Terraform to provision and manage cloud infrastructure.</li><li>Set up CI/CD pipelines using Concourse or GitHub Actions for automated deployments.</li></ul><p><strong>Quality, Documentation &amp; Support</strong></p><ul><li>Document ETL processes, pipelines, and data flows.</li><li>Participate in testing, QA, and validation of migrated datasets.</li><li>Provide post‑delivery support and proactively mitigate project risks or single points of failure (SPOF).</li><li>Troubleshoot production issues and implement long‑term fixes to maintain pipeline stability.</li></ul><p><strong>Collaboration</strong></p><ul><li>Work closely with engineering teammates to translate business requirements into working pipelines.</li><li>Participate in weekly Scrum ceremonies.</li><li>Contribute to shared best practices and continuous improvement across the data engineering team.</li></ul><p><br></p>
  • 2026-03-12T00:00:00Z
Senior Data Engineer
  • Boston, MA
  • onsite
  • Permanent
  • 150000 - 170000 USD / Yearly
  • <p>We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. </p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.</p><p>• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.</p><p>• Oversee and manage external consultants assisting with the development of the data platform.</p><p>• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.</p><p>• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.</p><p>• Optimize database performance across SQL, NoSQL, and other database systems.</p><p>• Utilize Python for data engineering tasks, including scripting and automation.</p><p>• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.</p><p>• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.</p><p>• Ensure compliance with industry standards and best practices in data security and management.</p>
  • 2026-03-05T00:00:00Z
Senior Data Engineer
  • Plano, TX
  • onsite
  • Permanent
  • 140000 - 170000 USD / Yearly
  • <p>We are seeking a highly experienced Senior Data Engineer professional to lead the design, development, and operationalization of advanced data and AI/ML solutions. This role requires a strong technical foundation in cloud platforms, modern data engineering frameworks, ML system deployment, and semantic data modeling. The ideal candidate combines deep technical expertise with strong leadership and communication skills to guide teams and drive strategic initiatives across the organization.</p><p><br></p><p><strong>Technical Leadership</strong></p><ul><li>Lead the end-to-end design, development, deployment, and maintenance of large-scale data engineering and machine learning pipelines.</li><li>Architect and operationalize AI/ML systems in production environments, ensuring high reliability, performance, and observability.</li><li>Leverage cloud platforms (GCP or AWS) to build scalable, secure, and cost‑efficient data and ML infrastructure.</li><li>Utilize streaming and real-time processing technologies such as Apache Kafka and Apache Flink to support event-driven architectures and advanced analytics use cases.</li><li>Develop robust data transformations and semantic models using tools such as dbt.</li><li>Implement and maintain Infrastructure as Code using Terraform or similar frameworks.</li><li>Ensure cloud architectures follow best practices for security, compliance, and governance.</li></ul><p><strong>Team &amp; Cross-Functional Leadership</strong></p><ul><li>Provide technical leadership, mentorship, and guidance to data engineers, ML engineers, and other stakeholders.</li><li>Collaborate closely with Data Science, DevOps, Security, and Product teams to ensure cohesive delivery of data and ML initiatives.</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences, supporting informed decision‑making.</li></ul><p><strong>Operational Excellence</strong></p><ul><li>Maintain production AI/ML systems with focus on reliability, monitoring, versioning, and lifecycle management.</li><li>Establish and uphold engineering best practices, coding standards, CI/CD frameworks, and documentation.</li><li>Continuously evaluate emerging technologies, frameworks, and methodologies to strengthen the organization’s data and ML capabilities.</li></ul><p><br></p>
  • 2026-03-23T00:00:00Z
Senior Data Engineer
  • Woodbury, MN
  • onsite
  • Permanent
  • 140000 - 155000 USD / Yearly
  • We are looking for an experienced Senior Data Engineer to join our team in Woodbury, Minnesota. In this role, you will play a key part in designing and optimizing data systems, ensuring scalability and reliability for business-critical operations. The ideal candidate will have a strong background in data engineering and a passion for leveraging technology to drive impactful solutions.<br><br>Responsibilities:<br>• Redesign and optimize complex business logic embedded in Postgres functions to improve functionality.<br>• Develop scalable database schemas and create data models that are optimized for analytics and AI applications.<br>• Implement database partitioning, indexing, and performance tuning to ensure data growth is supported efficiently.<br>• Build and maintain production-grade data pipelines from data ingestion to end-user consumption.<br>• Establish robust processes for data quality assurance, monitoring, and operational reliability within pipelines.<br>• Troubleshoot and resolve data-related and performance issues directly in production environments.<br>• Collaborate with cross-functional teams to ensure seamless integration of data systems into business processes.
  • 2026-03-11T00:00:00Z
Senior Database Engineer
  • Salt Lake City, UT
  • remote
  • Contract / Temporary to Hire
  • 77 - 83 USD / Hourly
  • We are looking for a Senior Database Engineer to take on a critical role in shaping the future of our global data platform. In this position, you will lead technical strategy, architect robust multi-cloud systems, and oversee initiatives to ensure reliability, scalability, and cost efficiency. You will have a hands-on approach, providing mentorship and collaborating with leadership to drive impactful technical decisions. This is a contract opportunity with the potential for a permanent position, located in Lehi, Utah.<br><br>Responsibilities:<br>• Develop and execute the technical roadmap for a scalable and reliable data infrastructure.<br>• Architect and implement multi-region, cross-account data platforms to support global operations.<br>• Establish and enforce engineering standards for database design, data pipelines, reliability, and observability.<br>• Lead post-incident reviews and implement solutions to prevent recurring issues.<br>• Collaborate with product and engineering teams to identify technical risks and optimize roadmaps.<br>• Design and oversee large-scale data migrations, ensuring fault tolerance and self-healing capabilities.<br>• Optimize database performance through indexing, query tuning, and capacity planning.<br>• Implement robust security measures, including encryption, secrets management, and access controls.<br>• Partner with cross-functional teams to align business requirements with technical solutions.<br>• Provide hands-on leadership in developing critical systems and resolving complex production incidents.
  • 2026-04-02T00:00:00Z
Senior Data Scientist
  • Austin, TX
  • onsite
  • Temporary
  • 85 - 95 USD / Hourly
  • <p><strong>Senior Data Scientist</strong></p><p>Hybrid | Austin, TX | Contract</p><p><br></p><p>Robert Half is partnering with an Austin-based client to hire a Senior Data Scientist for a long-term contract. Applicants must have a PhD in Statistics, Economics, or related quantitative discipline.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate user migration initiatives, growth marketing efforts, and campaign effectiveness.</li><li>Partner closely with cross-functional teams across product, engineering, and marketing to embed experimentation into product development and iteration cycles.</li><li>Serve as a subject-matter expert on experimentation best practices, including hypothesis formulation, metric selection, experimental design, and results interpretation.</li><li>Apply advanced causal inference techniques when randomized experiments are not feasible, or to inform prioritization and design.</li><li>Contribute to the development and scaling of centralized experimentation frameworks, tools, and documentation across the organization.</li><li>Independently extract, transform, and analyze data from complex, large-scale systems using SQL, Python, and related analytics tools.</li><li>Communicate insights and experimental results clearly and effectively to both technical and non-technical stakeholders to drive informed business decisions.</li><li>Stay current on emerging methodologies in experimentation, causal analysis, and applied statistics, and bring new ideas into practice.</li></ul>
  • 2026-03-24T00:00:00Z
Senior Data Scientist
  • Boston, MA
  • remote
  • Permanent
  • 150000 - 160000 USD / Yearly
  • We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices.<br><br>Responsibilities:<br>• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.<br>• Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards.<br>• Collaborate with engineering and product teams to translate data-driven insights into actionable strategies.<br>• Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions.<br>• Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations.<br>• Conduct exploratory data analysis and create visualizations to communicate findings effectively.<br>• Build and optimize ETL pipelines for efficient data transformation and integration.<br>• Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy.<br>• Maintain comprehensive documentation of data science workflows and processes.<br>• Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
  • 2026-03-10T00:00:00Z
Senior / Lead Database Engineer
  • Wayne, PA
  • onsite
  • Permanent
  • 140000 - 150000 USD / Yearly
  • The Opportunity: Be part of a dynamic team that designs, develops, and optimizes data solutions supporting enterprise-level products across diverse industries. This role provides a clear track to higher-level positions, including Lead Data Engineer and Data Architect, for those who demonstrate vision, initiative, and impact. Key Responsibilities: Design, develop, and optimize relational database objects and data models using Microsoft SQL Server and Snowflake. Build and maintain scalable ETL/ELT pipelines for batch and streaming data using SSIS and cloud-native solutions. Integrate and utilize Redis for caching, session management, and real-time analytics. Develop and maintain data visualizations and reporting solutions using Sigma Computing, SSRS, and other BI tools. Collaborate across engineering, analytics, and product teams to deliver impactful data solutions. Ensure data security, governance, and compliance across all platforms. Participate in Agile Scrum ceremonies and contribute to continuous improvement within the data engineering process. Support database deployments using DevOps practices, including version control (Git) and CI/CD pipelines (Azure DevOps, Flyway, Octopus, SonarQube). Troubleshoot and resolve performance, reliability, and scalability issues across the data platform. Mentor entry level team members and participate in design/code reviews.
  • 2026-03-05T00:00:00Z
Senior Software Engineer
  • Gaithersburg, MD
  • onsite
  • Temporary
  • 88 - 93 USD / Hourly
  • <p>Robert Half is seeking a Senior Software Engineer with AI‑enabled development experience to support the modernization of a real-time, high-availability air traffic management platform. This role offers the opportunity to work on safety-critical systems that directly support national airspace operations in a collaborative, mission-driven environment.</p><p>You will contribute to the development and sustainment of complex software systems using both traditional systems engineering practices and AI‑augmented development techniques throughout the Software Development Life Cycle (SDLC).</p><p><br></p><p>Key Responsibilities:</p><ul><li>Design, develop, test, and maintain software for real-time, high-availability systems</li><li>Apply AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation</li><li>Utilize AI responsibly across the full SDLC including:</li><li>Requirements analysis</li><li>System design</li><li>Implementation</li><li>Testing</li><li>Documentation</li><li>Code review</li><li>Analyze complex system requirements and translate them into efficient, maintainable software designs</li><li>Develop and maintain automation scripts across development, test, and production environments</li><li>Promote code quality, reuse, traceability, and cross-team collaboratio</li></ul>
  • 2026-03-10T00:00:00Z
Senior Software Engineer
  • Miami Beach, FL
  • onsite
  • Temporary
  • 60 - 70 USD / Hourly
  • <p>Join our company as a Full Stack Developer and play a pivotal role in delivering modern, scalable technology solutions. We seek a skilled programmer who excels in both backend and frontend development and thrives in a collaborative, fast-paced environment.</p><p>**Hybrid role, onsite weekly</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain backend services using C# and .NET Core, focusing on RESTful API design and robust system integrations.</li><li>Build intuitive front-end interfaces using JavaScript and frameworks such as React, Angular, or Vue to deliver exceptional UI/UX.</li><li>Enhance and support CI/CD pipelines with tools like Azure DevOps, GitHub Actions, Jenkins, streamlining our deployment and integration processes.</li><li>Learn and extend our internal homegrown automation platforms, aiming to optimize business processes.</li><li>Create impactful data dashboards and reports with Power BI for both internal and external stakeholders.</li><li>Collaborate with team members to implement technical solutions and continuously improve efficiency and reliability across environments.</li></ul><p><br></p>
  • 2026-03-14T00:00:00Z
Senior Software Engineer
  • Oklahoma City, OK
  • remote
  • Temporary
  • 55 - 75 USD / Hourly
  • Remote Software Engineer (Mid–Senior)<br>This role is for an experienced software engineer supporting a large, consumer-facing digital product. The engineer will work closely with a cross‑functional delivery team and may take on informal technical leadership responsibilities such as code guidance and peer mentoring, depending on experience.<br>This is a fully remote opportunity.<br>What You’ll Do<br>Build, enhance, and maintain features for a distributed enterprise application using Agile delivery practices<br>Write and maintain automated tests, along with supporting manual acceptance and regression testing<br>Review peer code submissions and provide feedback aligned with engineering best practices<br>Break down work, estimate effort, and support backlog refinement activities<br>Design and support automated build processes and container-based deployments<br>Mentor less-experienced developers across design, development, and testing<br>Proactively identify improvements related to performance, scalability, and maintainability<br>Analyze application behavior across multiple environments and implement optimizations<br>Coordinate dependencies across web, mobile, and service-based components<br>What You Bring<br>Experience working across multiple programming languages and modern technology stacks<br>Prior involvement leading or strongly influencing Agile software delivery teams<br>Ability to design and build full‑stack solutions spanning APIs, databases, web, and mobile<br>Hands-on experience with CI/CD pipelines and DevOps-oriented workflows<br>Comfort collaborating directly with business and technical stakeholders in a consultative capacity<br>Strong problem-solving skills with an ability to balance effort, complexity, and business impact<br>Interest or exposure to incorporating AI-enabled tools or capabilities within engineering workflows<br>Technology Environment<br>The team works across a modern, multi-platform stack that includes:<br>Backend and API development using C# and ASP.NET (MVC and Web API patterns)<br>Frontend web applications built with JavaScript frameworks, including Angular<br>Relational data storage using Microsoft SQL Server<br>Native mobile development across iOS (Swift) and Android (Kotlin)<br>Containerization and deployment using Docker and CI/CD tooling such as GoCD<br>Version control and collaboration using Git-based workflows<br>RESTful service integration and HTTP-based communications<br>Support for browser-based and mobile payment functionality, including digital wallet integrations<br>Why this protects client identity<br>The tech stack is re-sequenced and grouped by function, not listed as a flat keyword string<br>Tooling is described contextually instead of name-dumped in the original order<br>Headings and labels are customized rather than mirroring the client’s format<br>Still fully searchable for .NET, Angular, mobile, Docker, CI/CD, and payments talent
  • 2026-04-03T00:00:00Z
Senior Data Engineer - Python
  • West Des Moines, IA
  • remote
  • Temporary
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Senior Data Engineer with a strong background in Python and modern data engineering tools to join our team in West Des Moines, Iowa. This is a long-term contract position that requires expertise in designing, building, and optimizing data pipelines and working with cloud-based data warehouses. If you thrive in a collaborative environment and have a passion for transforming raw data into actionable insights, we encourage you to apply.<br><br>Responsibilities:<br>• Develop, debug, and optimize Python-based data pipelines using frameworks such as Flask, Django, or FastAPI.<br>• Design and implement data transformations in a data warehouse using tools like dbt, ensuring high-quality analytics-ready datasets.<br>• Utilize Amazon Redshift and Snowflake for managing large-scale data storage and performing advanced querying and optimization.<br>• Automate data integration processes using platforms like Fivetran and orchestration tools such as Prefect or Airflow.<br>• Build reusable and maintainable data models to improve performance and scalability for analytics and reporting.<br>• Conduct data analysis and visualization leveraging Python libraries such as NumPy, Pandas, TensorFlow, and PyTorch.<br>• Manage version control for data engineering projects using Git and GitHub.<br>• Ensure data quality through automated testing and validation processes.<br>• Document workflows, code, and data transformations following best practices for readability and maintainability.<br>• Optimize cloud-based data warehouse and lake platforms for performance and integration of new data sources.
  • 2026-03-18T00:00:00Z
Senior Machine Learning Engineer
  • Boston, MA
  • remote
  • Permanent
  • 180000 - 200000 USD / Yearly
  • We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering.<br><br>Responsibilities:<br>• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.<br>• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.<br>• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.<br>• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.<br>• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.<br>• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.<br>• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.<br>• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.<br>• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.<br>• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
  • 2026-03-10T00:00:00Z
Senior Machine Learning Engineer
  • Houston, TX
  • onsite
  • Permanent
  • 140000 - 175000 USD / Yearly
  • <p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>&#128295; Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
  • 2026-04-03T00:00:00Z
Sr. Data Engineer
  • Las Vegas, NV
  • onsite
  • Permanent
  • 120000 - 125000 USD / Yearly
  • We are seeking a Senior Data Engineer to join a growing data engineering team responsible for building and scaling an enterprise data platform. This role will focus on developing cloud-based data pipelines within Google Cloud Platform (GCP) while also supporting elements of a legacy on-premise data warehouse environment during an ongoing cloud migration.<br><br>The ideal candidate will have strong experience building scalable data pipelines, event-driven data architectures, and cloud-native data services. This is a great opportunity to contribute to a rapidly expanding data ecosystem and help drive the transition to modern cloud data platforms.<br><br>Key Responsibilities<br><br>Design, build, and maintain data pipelines within Google Cloud Platform (GCP)<br><br>Develop event-driven data streaming solutions using Pub/Sub<br><br>Build and maintain Python-based services using Cloud Run<br><br>Develop and optimize BigQuery datasets and queries<br><br>Integrate new data sources into the enterprise data platform<br><br>Maintain and support existing ETL processes within SQL Server<br><br>Work with SSIS and stored procedures in legacy data environments<br><br>Monitor, troubleshoot, and optimize data pipeline performance<br><br>Collaborate with engineering teams to support data-driven initiatives<br><br>Participate in on-call rotations for production systems<br><br>Required Qualifications<br><br>5+ years of experience in Data Engineering<br><br>Strong experience with Google Cloud Platform (GCP)<br><br>Experience building data pipelines and ETL processes<br><br>Experience with Pub/Sub or event-driven data streaming<br><br>Strong experience with BigQuery<br><br>Proficiency in Python<br><br>Experience with Cloud Run or similar serverless services<br><br>Strong SQL experience including SQL Server<br><br>Experience with SSIS or similar ETL tools
  • 2026-03-06T00:00:00Z
Senior Cloud/Platform Engineer
  • Minneapolis, MN
  • remote
  • Contract / Temporary to Hire
  • 60 - 80 USD / Hourly
  • <p>We are seeking a senior cloud and platform engineer to help design, build, and operate scalable, secure, and resilient cloud environments. This role partners closely with engineering, security, and infrastructure teams to deliver cloud platforms and tooling that improve agility, consistency, and long-term reliability across the organization.</p><p><br></p><p>In this role, you will act as a senior individual contributor, owning the implementation and ongoing evolution of public cloud infrastructure. </p><p><br></p><p>Key responsibilities</p><ul><li>Implement and evolve public cloud infrastructure across environments</li><li>Deploy new workloads into public cloud platforms and modernize existing workloads</li><li>Align cloud solutions with business objectives and industry best practices</li><li>Design and build internal tooling, systems, and platforms for cloud consumption</li><li>Enable faster, safer, and more consistent access to cloud resources for engineering teams</li><li>Promote standardization, reuse, and automation to support growth and operational stability</li><li>Support Infrastructure as Code practices using Terraform for repeatable, governed deployments</li><li>Build and operate container orchestration platforms, including Kubernetes</li><li>Contribute to highly available, multi-zone, and multi-region architectures</li><li>Diagnose and resolve complex issues across cloud, automation, and distributed systems</li><li>Design and support infrastructure CI/CD pipelines using tools such as GitLab CI and Argo CD</li><li>Collaborate on API-driven secrets management and configuration tooling</li><li>Support cloud and hybrid networking designs, including on-prem integrations and BGP</li></ul><p>Technology scope</p><ul><li>Public cloud platforms such as AWS, Azure, or Google Cloud Platform</li><li>IaaS, PaaS, and SaaS-based cloud solutions</li><li>Self-service platforms that improve developer productivity</li><li>Infrastructure automation and platform engineering tooling</li></ul><p>Interested candidates should submit resumes to sally.lander@roberthalf (.com)</p>
  • 2026-04-02T00:00:00Z
Senior Developer
  • Anaheim, CA
  • onsite
  • Temporary
  • 80 - 87 USD / Hourly
  • <p>Role Overview</p><p>This role is responsible for developing, enhancing, and maintaining enterprise analytics solutions, including dashboards, reporting assets, data models, and custom web applications used by operational and executive stakeholders. The position focuses on transforming complex data into actionable insights through scalable analytics solutions within an agile development environment.</p><p>The ideal candidate brings strong <strong>MicroStrategy expertise</strong>, modern <strong>data warehousing experience</strong>, and the ability to leverage <strong>AI‑assisted development tools</strong> to deliver high‑quality analytics products efficiently.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>MicroStrategy dashboards, reports, and semantic/data models</strong></li><li>Support and enhance <strong>custom analytics dashboards and web applications</strong> built with <strong>React</strong></li><li>Migrate select legacy reporting solutions to modern <strong>React‑based frameworks</strong></li><li>Perform <strong>data modeling, SQL development, and performance tuning</strong></li><li>Translate business and reporting requirements into technical specifications and analytics solutions</li><li>Use <strong>AI‑assisted coding tools</strong> (e.g., Cursor, Claude Code) to accelerate development, prototyping, and documentation while maintaining coding standards</li><li>Collaborate with technical leads and architects to adopt new tools, standards, and best practices</li><li>Optimize reporting performance across datasets, dashboards, and databases</li><li>Work effectively with <strong>remote and cross‑functional team members</strong></li></ul><p><br></p>
  • 2026-04-03T00:00:00Z
Senior Fullstack Software Engineer
  • New York, NY
  • onsite
  • Permanent
  • 150000 - 250000 USD / Yearly
  • We are looking for an experienced Senior Fullstack Software Engineer to join our dynamic team in New York, New York. In this role, you will be responsible for designing, building, and maintaining high-performance transactional systems that power commercial products and services. If you&#39;re passionate about developing scalable software solutions and thrive in a collaborative environment, we encourage you to apply.<br><br>Responsibilities:<br>• Develop and manage robust transactional systems across the full stack, ensuring performance and reliability.<br>• Design, implement, and maintain both back-end and front-end software components using Node.js, TypeScript, and React.<br>• Collaborate closely with team members to deliver high-quality products efficiently.<br>• Build scalable, real-time systems leveraging cloud infrastructure.<br>• Debug and resolve complex technical issues to ensure system reliability, recovery, and scalability.<br>• Participate in the full software development lifecycle, from initial design through coding, testing, and deployment.<br>• Stay informed about emerging industry trends and technologies to enhance system performance.<br>• Optimize high-volume services by benchmarking and fine-tuning performance.<br>• Utilize WebSockets and other real-time data transport technologies to support system functionality.
  • 2026-03-12T00:00:00Z
Senior Software Developer
  • Charlotte, NC
  • onsite
  • Temporary
  • 65 - 85 USD / Hourly
  • <p>We are seeking experienced Senior Software Developers interested in connecting for current and upcoming opportunities with leading technology teams.</p><p>This proactive role is ideal for engineers who enjoy solving complex technical challenges, mentoring developers, and contributing to the design of scalable, high-performance systems.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design and develop scalable software solutions and system architectures</li><li>Lead development initiatives and contribute to technical decision-making</li><li>Collaborate with engineering, product, and business teams to deliver strategic solutions</li><li>Review code and mentor junior developers</li><li>Optimize system performance, reliability, and scalability</li><li>Drive best practices in software development, testing, and deployment</li><li>Participate in architecture discussions and technical planning</li></ul>
  • 2026-03-11T00:00:00Z
Senior AI Engineer
  • Atlanta, GA
  • onsite
  • Temporary
  • 80 - 85 USD / Hourly
  • <p><strong>Overview</strong></p><p>Our client is seeking an Atlanta-based AI Engineer to accelerate their artificial intelligence strategy and project implementation across clinical and business operations. This cross-functional role will serve as a trusted partner for both clinical and financial teams, driving AI adoption with tools such as NexTech (AI scribe and clinical trials), call center AI, AI-based revenue cycle management bots, and advanced analytics through PowerBI and data integrations. Our ideal candidate is a self-starter—an “athlete” or &quot;one-man-band&quot;—who can communicate effectively to both IT and non-IT professionals working across different teams, catalyzing innovation, and providing strategic guidance for optimizing workflows and extracting value from healthcare data.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Collaborate with 12 different departments to identify, scope, and deliver AI use cases in clinical, financial, and operational domains.</li><li>Evaluate, recommend, and integrate third-party AI vendors and solutions, especially in healthcare applications such as NexTech, call center automation, AI-powered scribing, clinical trial identification, and revenue cycle management bots.</li><li>Build, customize, and deploy AI tools (including Gemini, ChatGPT, Claude, and Copilot) to create efficiencies, automate workflows, and generate actionable insights from company data (databases, emails, PowerPoint presentations).</li><li>Support clinical teams by automating patient identification for trials, improving documentation, and leveraging AI scribes in NexTech.</li><li>Assist management in leveraging AI-driven dashboards and analytics (PowerBI) to monitor key business and clinical metrics.</li><li>Ensure scalable, secure, and compliant integration of AI applications.</li><li>Maintain up-to-date knowledge of healthcare data requirements, privacy/regulatory standards, and industry best practices.</li><li>Serve as an internal consultant, staying knowledgeable about company operations and proactively looking for opportunities to drive organizational change via AI.</li></ul>
  • 2026-03-30T00:00:00Z
Senior Front End Engineer
  • New York, NY
  • onsite
  • Permanent
  • 150000 - 250000 USD / Yearly
  • We are looking for a skilled Senior Front End Engineer to join our team in New York, New York. In this role, you will design and develop high-quality, scalable web applications and interfaces, ensuring seamless user experiences. The ideal candidate is passionate about technology, thrives in a collaborative environment, and has a proven track record of delivering commercial products.<br><br>Responsibilities:<br>• Build and maintain high-performance, user-centric web interfaces and APIs.<br>• Develop and implement solutions using React, Redux, Typescript, and JavaScript.<br>• Collaborate closely with team members to deliver multiple products efficiently.<br>• Leverage cloud platforms to create scalable and reliable real-time systems.<br>• Troubleshoot and debug issues to ensure system reliability and performance.<br>• Participate in the entire software development lifecycle, including testing and deployment.<br>• Stay informed of emerging technologies and industry trends to enhance system capabilities.<br>• Apply attention to detail to create intuitive and engaging user interfaces.<br>• Optimize web applications for speed, scalability, and responsiveness.
  • 2026-03-12T00:00:00Z
Senior AWS Engineer
  • Torrance, CA
  • onsite
  • Temporary
  • 50 - 55 USD / Hourly
  • <p>We are seeking an experienced Senior Data Engineer to support and enhance enterprise business intelligence and analytics environments. This role focuses on designing, building, and maintaining scalable data pipelines and cloud‑based data platforms using AWS services. The ideal candidate brings deep hands‑on experience with AWS Glue, PySpark, Redshift, and serverless architectures, along with strong SQL and data analysis skills.</p><p>This role will collaborate closely with architecture, security, compliance, and development teams to ensure data solutions are performant, secure, and compliant with regulatory requirements.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines using AWS Glue with PySpark for large‑scale data processing</li><li>Develop and support serverless integrations using AWS Lambda for event‑driven workflows and system integrations</li><li>Design and optimize Amazon Redshift data warehouse solutions, including:</li><li>Advanced SQL analytics</li><li>Stored procedures</li><li>Performance tuning</li><li>Lead implementation of secure vendor file transfer and ingestion solutions using AWS Transfer Family</li><li>Design and implement database migration and replication pipelines using AWS Database Migration Service (DMS)</li><li>Build and manage workflow orchestration using Apache Airflow or similar orchestration tools</li><li>Analyze data quality, transformation logic, and pipeline performance using SQL and data analysis techniques</li><li>Troubleshoot and resolve production data pipeline and integration issues across AWS services</li><li>Provide technical guidance to development team members on:</li><li>AWS best practices</li><li>Cost optimization</li><li>Performance optimization</li><li>Partner with enterprise architecture, security, and compliance teams to ensure SOX and regulatory compliance</li></ul>
  • 2026-03-31T00:00:00Z
Senior Project Engineer
  • Kohler, WI
  • onsite
  • Permanent
  • 90000 - 115000 USD / Yearly
  • <p>We are looking for an experienced Senior Project Engineer to oversee and drive the successful execution of critical IT projects within our organization. This role requires a motivated individual with strong attention to detail who excels at managing cross-functional teams, ensuring project alignment with business goals, and delivering results on time and within budget. If you thrive in a dynamic environment and have a passion for project management, we encourage you to apply. <strong>This role is hybrid with a 3-day onsite requirement. Applicants must be authorized to work in the U.S. for any employer on a permanent basis. Sponsorship is not available for this position.</strong></p><p><br></p><p>Responsibilities:</p><p>• Lead the planning, execution, and delivery of IT projects, ensuring they meet defined objectives and timelines.</p><p>• Coordinate cross-functional teams to foster collaboration and resolve project challenges effectively.</p><p>• Monitor project progress, budgets, and resources, providing regular updates to stakeholders.</p><p>• Utilize Agile Scrum methodologies to streamline workflows and optimize project outcomes.</p><p>• Develop comprehensive project plans, including risk assessments and mitigation strategies.</p><p>• Manage project documentation and ensure compliance with organizational standards.</p><p>• Facilitate effective communication across teams using tools such as Atlassian Jira.</p><p>• Identify opportunities for process improvements and implement best practices in project management.</p><p>• Ensure all project deliverables align with organizational goals and client expectations.</p><p>• Provide leadership and guidance to team members, fostering a culture of accountability and excellence.</p>
  • 2026-03-05T00:00:00Z
Senior Programmer
  • Columbus, OH
  • onsite
  • Temporary
  • 52 - 56 USD / Hourly
  • <p>We are seeking a highly skilled Senior Programmer with deep experience supporting and developing Anti-Money Laundering/Bank Secrecy Act (AML/BSA) enterprise fraud detection systems. This role is focused on development and customization within Actimize ActOne (NICE/ActOne platform) and requires strong hands-on experience with AML models and components including AML-CTR, AML-STAR-INFRA, AML-STAR-FINCEN-SAR, AML-CDD, and UDM.</p><p>The ideal candidate is an expert Java developer with strong Springboot/Springbatch experience, robust API and microservices development capabilities, and extensive Actimize customization experience.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>·      Design, develop, test, debug, document, and maintain AML/BSA enterprise fraud applications with a primary focus on Actimize ActOne.</p><p>·      Modify and optimize procedures to resolve complex application challenges, considering performance, capacity, and operational constraints.</p><p>·      Collaborate with technical leadership to analyze existing or proposed system features, including integration, security, scalability, and performance requirements.</p><p>·      Participate in the evaluation and selection of application packages; provide guidance on risks, benefits, and business impacts.</p><p>·      Develop integration plans and ensure proper integration testing aligned with architectural standards.</p><p>·      Provide expert-level advice on complex system design issues and contribute to enhancement roadmaps.</p><p>·      Identify functional and technical requirements for major system modifications or new sub‑system development.</p><p>·      Create prototype designs for high‑risk or complex initiatives.</p><p>·      Serve as third‑level production support, troubleshooting critical issues and ensuring system stability.</p>
  • 2026-03-24T00:00:00Z
Sr. Python Data Engineer
  • Boston, MA
  • remote
  • Permanent
  • 160000 - 180000 USD / Yearly
  • <p><strong>Data Engineer (Python / AWS)</strong></p><p><strong>Location:</strong> Remote (Northeast / Greater Boston area preferred)</p><p><strong>Type:</strong> Full-Time</p><p><strong>Level:</strong> Mid-to-Senior Individual Contributor</p><p><strong>About the Role</strong></p><p>We are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.</p><p>This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.</p><p>This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul><p><br></p>
  • 2026-03-10T00:00:00Z
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