<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>DevOps Engineer</strong> <strong>(contract).</strong> In this role, you will focus on building scalable Kubernetes environments, improving CI/CD processes, strengthening cloud security, and enabling production-ready machine learning operations (MLOps). <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, deploy, and maintain cloud infrastructure using Infrastructure-as-Code (IaC) frameworks and automation best practices.</li><li>Build, manage, and optimize Kubernetes environments, ensuring reliability, scalability, security, and operational efficiency.</li><li>Develop and maintain deployment pipelines supporting both application and machine learning workloads.</li><li>Collaborate with engineering and data teams to operationalize ML models and AI-driven services in production environments.</li><li>Implement and enhance CI/CD pipelines, release automation, and deployment standards across multiple environments.</li><li>Establish platform standards, reusable tooling, and engineering best practices to improve consistency and operational maturity.</li><li>Integrate security controls, automated testing, dependency validation, and policy enforcement into delivery pipelines.</li><li>Improve observability through centralized logging, monitoring, tracing, alerting, dashboards, and operational runbooks.</li><li>Partner with cross-functional teams to increase application reliability, performance, resiliency, and recovery capabilities.</li><li>Support modern software delivery practices, including automated quality controls, secure release management, and developer enablement initiatives.</li><li>Create self-service tooling, templates, automation frameworks, and documentation that improve the overall developer experience.</li><li>Participate in incident response, root cause analysis, and continuous improvement efforts.</li><li>Drive automation initiatives that reduce manual effort and increase operational reliability.</li><li>Work closely with infrastructure, security, engineering, and data teams to support enterprise-scale cloud platforms and services.</li></ul>
<p>We are seeking a motivated and technically skilled DevOps Engineer to join a growing software development organization. This is an exciting opportunity to play a key role in modernizing infrastructure, improving automation, and supporting the development of new technology initiatives.</p><p><br></p><p>The organization specializes in cloud-based payroll, Human Capital Management (HCM), and workforce management solutions. As the company continues to grow and invest in its technology, this individual will help improve infrastructure, streamline deployment processes, and enhance overall system reliability.</p><p><br></p><p>This role is ideal for someone who enjoys solving technical challenges, building automation, and contributing to infrastructure modernization.</p><p><br></p><ul><li>Design, implement, and maintain CI/CD pipelines using Azure DevOps.</li><li>Automate infrastructure provisioning and management using OpenTofu and other Infrastructure-as-Code tools.</li><li>Help modernize existing deployment processes and transition legacy Jenkins workflows toward more modern solutions.</li><li>Manage and optimize Azure cloud environments.</li><li>Identify opportunities to improve automation, scalability, and operational efficiency.</li><li>Troubleshoot and resolve issues across development, testing, and production environments.</li><li>Maintain monitoring, logging, and alerting systems.</li><li>Support infrastructure security and deployment best practices.</li><li>Collaborate with development, QA, and engineering teams to improve software delivery.</li><li>Identify opportunities to leverage emerging technologies and automation tools.</li></ul>
<p>We are seeking an Integration Developer/Analyst to help develop, maintain, and troubleshoot integrations between enterprise applications and third-party systems. This role is ideal for someone with a foundation in system integration, APIs, data transformation, and SQL who is eager to learn new technologies and grow their technical skills.</p><p>You will collaborate with technical teams, business users, and external vendors to understand integration needs, map data, resolve issues, and ensure information flows accurately and securely between systems. Experience with Boomi is not required; training and knowledge sharing will help you learn the platform.</p><p>Key Responsibilities</p><ul><li>Develop, maintain, and troubleshoot integrations between enterprise applications and external systems.</li><li>Learn and work with the Boomi integration platform to support data flows and integration processes.</li><li>Work with REST/SOAP APIs, JSON, XML, and vendor-provided data files.</li><li>Map, transform, and validate data to ensure accurate information exchange between systems.</li><li>Use Postman and similar tools to test APIs and troubleshoot integration issues.</li><li>Write and troubleshoot SQL queries, stored procedures, and database functions.</li><li>Use JavaScript or Python to support scripting, automation, and custom integration logic.</li><li>Collaborate with internal business users to gather requirements and understand business needs.</li><li>Coordinate with third-party vendors and technical teams to resolve integration issues.</li><li>Document integration processes, requirements, and solutions.</li><li>Follow data security practices and support secure data exchange.</li></ul><p><br></p>
About the Opportunity We’re hiring a hands-on Senior Salesforce Developer to take technical ownership of a heavily customized, integration-rich Salesforce environment. You’ll be the go-to developer for a key business area. You’ll own existing applications and active projects end to end, guide an offshore development team, and help shape how releases go to production. The team is putting real effort into AI-assisted and agentic development, so this is a good fit if you like to build quickly with modern tools. <br> What You’ll Do Own existing Salesforce applications and active project workstreams as the main hands-on developer and technical lead for your area Design and build custom solutions in Apex and Lightning Web Components (most of the work is custom code, not clicks) Build, maintain and troubleshoot integrations between Salesforce and external systems using REST/SOAP APIs and middleware Diagnose data flow and integration issues across systems, looking past Salesforce to the full end-to-end picture Guide and support offshore developers, including code reviews and enforcing development best practices Help coordinate and run bi-weekly production releases, which happen after hours every other Thursday Split your time roughly 80% new development and 20% production support, and respond to urgent issues as needed (there’s no formal on-call rotation) Take part in Agile delivery: daily standups, sprint planning and other sprint ceremonies Work with non-technical business partners to turn their needs into scalable technical solutions Write and maintain clear technical documentation for the solutions you build
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments. This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will create and optimize modern data platforms that power analytics, reporting, and machine learning initiatives. You will collaborate with technical and business partners to turn complex source data into trusted, accessible assets that support better decisions across the organization.<br><br>Responsibilities:<br>• Build and maintain scalable data pipelines that ingest, transform, and deliver information from a variety of enterprise and operational data sources.<br>• Design data models and warehouse structures that improve reporting performance, support analytics use cases, and enable long-term scalability.<br>• Develop and orchestrate ETL and ELT workflows using cloud-based and workflow automation tools to ensure dependable data movement across systems.<br>• Create batch and near-real-time processing solutions that provide timely, accurate datasets for downstream applications and analytical teams.<br>• Write efficient, well-structured Python and SQL code to cleanse, transform, and validate large and complex datasets.<br>• Monitor pipeline health, investigate failures, and tune jobs for reliability, cost control, and overall platform performance.<br>• Establish data quality checks, testing routines, and governance practices to maintain consistency, integrity, and compliance across the data environment.<br>• Partner with architects, analysts, data scientists, AI/ML engineers, and DevOps teams to support production-ready data products, automated deployments, and reproducible machine learning workflows.
<p>We're seeking a hands-on Senior Data Engineer to lead the design, optimization, and evolution of a growing data platform. This role will focus on building scalable data pipelines, improving data quality, optimizing database performance, and supporting enterprise reporting and analytics initiatives. <strong>This role is FULLY ONSITE in Newport Beach, CA</strong></p><p><br></p><p>What You'll Do</p><ul><li>Design and maintain scalable ETL/ELT pipelines</li><li>Optimize PostgreSQL databases and complex SQL workloads</li><li>Lead data migration and integration efforts from legacy systems</li><li>Build data quality, validation, and deduplication processes</li><li>Develop solutions within a cloud data warehouse environment (Snowflake)</li><li>Implement monitoring, alerting, and reliability best practices</li><li>Partner with business and technical stakeholders to deliver trusted data solutions</li></ul><p><br></p>
We are looking for a Software Engineering Manager to guide Salesforce solution delivery while staying actively involved in development work. This position partners with cross-functional teams in Enola, Pennsylvania to create secure, scalable, and high-performing applications that support business goals. The role blends technical leadership, architectural oversight, and team development to ensure reliable enterprise integrations and strong engineering practices.<br><br>Responsibilities:<br>• Lead the design, build, and ongoing enhancement of Salesforce applications using Apex, Lightning Web Components, Visualforce, and related platform tools while contributing directly to code delivery.<br>• Direct technical strategy for Salesforce initiatives by evaluating architecture choices and aligning scalability, security, and performance with organizational priorities.<br>• Provide hands-on leadership across the full software lifecycle, including solution design, development, testing, release coordination, and production support.<br>• Coach and develop engineers through regular feedback, code reviews, and practical guidance that strengthens technical quality and team accountability.<br>• Oversee integration design and support data exchange between Salesforce and connected enterprise systems to maintain consistency and operational reliability.<br>• Work closely with product owners, analysts, administrators, and business stakeholders to turn strategic objectives into effective technical solutions.<br>• Support Agile execution by contributing to sprint planning, backlog refinement, estimation, and delivery tracking for Salesforce development work.<br>• Uphold coding standards, security expectations, and data governance practices across all implementations and releases.<br>• Manage CI/CD activities and coordinate deployments across development, testing, and production environments.<br>• Investigate complex platform issues, improve system performance, and stay current with Salesforce advancements such as Financial Services Cloud, Data 360, and MuleSoft to drive continuous improvement.
<p>We are looking for an accomplished Software Engineering Manager to lead engineering efforts. This position will guide software engineering and quality assurance teams in creating dependable, secure, and scalable solutions that support critical business operations. The ideal candidate brings strong people leadership, sound technical judgment, and a commitment to modern development practices that improve delivery and product quality.</p><p><br></p><p>Responsibilities:</p><p>• Guide the technical direction of software initiatives by working closely with product and architecture partners to shape resilient, secure, and scalable solutions.</p><p>• Lead and develop software engineers and QA team members, fostering accountability, collaboration, and continuous growth across the organization.</p><p>• Oversee delivery planning for multiple active projects, balancing priorities, mitigating risks, and managing team capacity to achieve consistent results.</p><p>• Strengthen engineering execution by promoting contemporary development methods, including automation and AI-supported tools in daily workflows.</p><p>• Establish and uphold expectations for coding standards, test coverage, application security, and overall system reliability.</p><p>• Partner with DevOps, product management, architecture, and business stakeholders to ensure technical work supports broader organizational goals.</p><p>• Support informed technical decisions by contributing to solution design discussions and helping teams navigate complex implementation challenges..</p>
We are looking for a Software Engineering Manager to lead a high-performing development team in Kingston, New York. This role combines people leadership, technical direction, and delivery oversight to build secure, reliable software solutions that support organizational goals. The ideal candidate will guide engineering practices, collaborate across business and technical teams, and help shape a scalable roadmap for digital platforms in a regulated environment.<br><br>Responsibilities:<br>• Direct and support a team of software engineers by providing coaching, feedback, and opportunities for technical growth.<br>• Oversee software delivery from initial planning and requirements definition through release, maintenance, and ongoing improvements.<br>• Guide the architecture, design, and implementation of applications built with Microsoft technologies, modern JavaScript frameworks, and relational database platforms.<br>• Work closely with business partners, security teams, compliance stakeholders, operations staff, and analysts to deliver solutions aligned with user needs and regulatory expectations.<br>• Establish and reinforce engineering disciplines such as peer code review, automated test coverage, continuous integration and deployment, and secure development practices.<br>• Help define and prioritize a technology roadmap for customer-facing and internal delivery platforms in partnership with leadership committees and business stakeholders.<br>• Drive iterative delivery methods that produce usable software on a continuous basis while improving transparency and execution predictability.<br>• Promote strong technical documentation, production readiness, and dependable system performance within a high-trust financial services setting.<br>• Contribute to architectural standards, governance practices, and reusable design approaches while mentoring engineers in sound technical decision-making.
<p>We are looking for a Software Engineering Manager to lead a product-focused engineering team. This contract opportunity with potential for a permanent role is ideal for a leader who can guide technical delivery, strengthen platform stability, and partner across product, architecture, security, data, quality, and operations to support business goals. The role combines people leadership, Agile execution, and operational oversight to help deliver dependable, scalable software solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the engineering team through Agile ceremonies and delivery planning, ensuring work is organized, prioritized, and executed effectively.</p><p>• Develop team capability by providing coaching, feedback, and support that helps engineers grow in both technical and workplace areas.</p><p>• Build a collaborative and accountable team environment focused on quality, continuous improvement, and strong execution.</p><p>• Work closely with product and architecture partners to shape technical plans and translate business priorities into actionable engineering initiatives.</p><p>• Guide the adoption of modern development practices, including CI/CD pipelines, automated testing, and disciplined software delivery methods.</p><p>• Oversee software release activities by confirming appropriate testing, deployment controls, and validation steps are in place.</p><p>• Monitor application and platform performance in production, addressing recurring issues and improving reliability, scalability, and operational health.</p><p>• Coordinate with cross-functional teams and stakeholders to manage dependencies, communicate progress, and align on milestones, risks, and outcomes.</p><p>• Use delivery and operational metrics to improve team effectiveness, software quality, and service dependability.</p><p>• Lead escalated support and incident response efforts to ensure timely resolution and clear communication during production events.</p>
<p>We are looking for an experienced Applications Architect to support enterprise technology initiatives within the automotive industry in Southern California. This is a Long-term Contract position requiring an onsite presence four days per week, where you will partner with business and IT leaders to shape scalable cloud and data architecture solutions. The role focuses on aligning technical design with strategic goals, strengthening security and governance practices, and guiding delivery teams toward high-quality, reusable solutions.</p><p><br></p><p>Responsibilities:</p><p>• Partner with business and technology stakeholders to create architecture approaches that support enterprise objectives and encourage reuse across cloud-based solutions.</p><p>• Define architectural direction by contributing to technology standards, capability roadmaps, and solution design practices in collaboration with IT leadership.</p><p>• Lead technical solution design for application, compute, storage, integration, and platform needs, ensuring compatibility across environments and external services.</p><p>• Work closely with analysts, project managers, engineers, and developers to translate project needs into practical architecture recommendations and implementation plans.</p><p>• Support architecture governance by preparing materials for review processes and guiding stakeholders through approval decisions.</p><p>• Develop diagrams, workflows, and technical models using tools such as Visio and Draw.io to clearly communicate solution designs.</p><p>• Design secure data architectures for databases, warehouses, lakes, and APIs, with attention to confidentiality, access controls, privacy requirements, and enterprise security principles.</p><p>• Evaluate products, platforms, and vendor offerings, recommend suitable technologies, and identify risks related to architecture, delivery, or implementation.</p><p>• Improve data platform effectiveness by optimizing schemas, storage approaches, pipeline performance, orchestration, and data quality standards while reinforcing governance expectations.</p><p>• Ensure initiatives follow established delivery methodologies and quality expectations, while contributing reusable patterns, frameworks, and components for application teams.</p>
<p>We’re seeking a Staff Software Engineer to lead technical strategy and execution across a product domain or platform area spanning multiple teams. In this role, you will own outcomes end-to-end by defining success metrics, shaping the roadmap, and driving measurable improvements over time.</p><p><br></p><p>You will set the architectural direction for scalable APIs, backend services, data platforms, and event-driven systems that operate across team boundaries. You’ll also lead the most complex work related to performance, scalability, and reliability.</p><p>As a senior technical leader, you will raise the engineering bar across the organization by establishing standards, creating reusable platforms and patterns, improving documentation practices, simplifying systems, and reducing technical debt.</p><p>You’ll be responsible for making and communicating high-impact technical decisions across architecture, security, performance, cost, and scalability. This includes identifying risks early and designing safeguards before they become incidents.</p><p>This role requires close partnership with Product, Design, Machine Learning, Client Success, and engineering leadership to shape strategy, turn ambiguous business goals into clear multi-quarter technical plans, and align teams on execution.</p><p>You will also help define how the organization adopts AI-assisted and agentic development practices by establishing guardrails for verification, security, and human accountability in production decisions, while measuring the real impact these tools create.</p><p>In addition, you will mentor senior engineers, influence technical direction across the organization, lead architecture reviews, and remain hands-on with the highest-impact technical work.</p><p><br></p>
We are looking for an experienced Applications Development Manager to lead a software development organization in Milwaukee, Wisconsin. This role will guide engineering delivery, strengthen development practices, and ensure applications and data solutions are built with quality, security, and long-term business value in mind. The ideal candidate will bring strong technical leadership, team management experience, and the ability to align delivery priorities with organizational goals.<br><br>Responsibilities:<br>• Direct daily operations for the application development function, setting clear expectations, supporting team growth, and maintaining accountability for results.<br>• Define and enforce development standards, governance practices, and lifecycle procedures covering source control, testing, documentation, deployment, release coordination, and quality management.<br>• Lead architecture discussions, design evaluations, and code review activities to ensure solutions meet business needs, security expectations, and enterprise technology direction.<br>• Oversee disciplined configuration management for the policy administration platform, including versioning, traceable documentation, test validation, environment promotion, and controlled releases.<br>• Build and refine CI/CD processes that enable dependable and efficient movement of software changes from development through production environments.<br>• Provide leadership across application engineering, database development, database administration, data integration, and data migration initiatives.<br>• Collaborate with business stakeholders and technology partners to set priorities, assess requirements, evaluate solution approaches, and deliver effective technology outcomes.<br>• Establish practical methods for planning, assigning, monitoring, and completing project work, production support needs, policy administration conversion efforts, and strategic initiatives.<br>• Track operational and delivery metrics to improve quality, productivity, capacity planning, transparency, and continuous improvement across the team.<br>• Manage staffing strategies, budget considerations, and team enablement needs while recruiting, mentoring, and developing a collaborative, high-performing culture.
We are looking for an experienced Cobol Mainframe Systems Programmer to support critical enterprise applications in Des Moines, Iowa. This Long-term Contract position is ideal for someone who combines strong IBM mainframe programming expertise with a solid understanding of insurance-related business processes. The role focuses on building, troubleshooting, and enhancing core systems while partnering with business and technical teams to deliver reliable solutions.<br><br>Responsibilities:<br>• Develop, test, troubleshoot, and maintain COBOL-based applications running in an IBM mainframe environment.<br>• Support production and project work involving core mainframe components, including CICS and related application services.<br>• Collaborate with stakeholders to translate insurance, actuarial, and financial business needs into effective technical solutions.<br>• Analyze existing system behavior, identify defects, and implement code changes that improve stability and performance.<br>• Assist with integration and data exchange activities involving mainframe applications and connected SQL Server-based systems.<br>• Document program logic, technical updates, and support procedures to promote consistency and maintainability.<br>• Participate in application enhancement efforts tied to policy administration or annuity and life insurance processing platforms.<br>• Contribute to ongoing support for specialized environments such as LifePRO or comparable insurance administration systems when applicable.
<p>The Data Engineer will develop and maintain scalable data pipelines and cloud-based data solutions that support analytics and business intelligence initiatives.</p><p>Responsibilities</p><ul><li>Design and build ETL/ELT processes.</li><li>Develop data pipelines using Python and SQL.</li><li>Optimize data warehouse performance.</li><li>Work with stakeholders to gather data requirements.</li><li>Support data governance and quality initiatives.</li></ul><p><br></p>
<p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data and analytics team responsible for building modern, cloud-based data platforms that drive business intelligence, reporting, and advanced analytics. This role is ideal for someone with deep expertise in <strong>Microsoft Azure</strong>, <strong>Microsoft Fabric</strong>, and modern data engineering practices.</p><p>You will be responsible for designing and developing scalable data solutions, optimizing data pipelines, and helping shape the organization's data architecture strategy. The ideal candidate is both hands-on and strategic, with experience building enterprise data platforms in Azure and Fabric environments.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain enterprise data solutions using <strong>Microsoft Fabric</strong> and <strong>Azure Data Services</strong>.</li><li>Build and optimize scalable ETL/ELT pipelines for structured and unstructured data sources.</li><li>Develop and manage data lakes, lakehouses, warehouses, and semantic models.</li><li>Design data integration solutions using Fabric Data Factory, Dataflows, and Azure Data Factory.</li><li>Implement data governance, security, quality, and monitoring frameworks.</li><li>Partner with business stakeholders to understand reporting and analytics requirements.</li><li>Support Power BI developers by building trusted, high-quality data models and datasets.</li><li>Optimize data storage, query performance, and platform scalability.</li><li>Develop data architecture standards, best practices, and documentation.</li><li>Collaborate with application development teams to integrate operational systems with enterprise analytics platforms.</li><li>Support real-time and batch data processing initiatives.</li><li>Participate in architecture reviews, code reviews, and technical leadership activities.</li></ul><p><br></p>
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.<br>• Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.<br>• Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.<br>• Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.<br>• Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.<br>• Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.<br>• Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.<br>• Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
<p>We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases.</p><p><br></p><p>Responsibilities:</p><p>• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.</p><p>• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.</p><p>• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.</p><p>• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.</p><p>• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.</p><p>• Improve platform performance through tuning, cost management, and scalability planning across data workloads.</p><p>• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.</p><p>• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.</p><p>• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.</p>
We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs.<br>• Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers.<br>• Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value.<br>• Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management.<br>• Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps.<br>• Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment.<br>• Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets.<br>• Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows.<br>• Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.<br><br>Responsibilities:<br>• Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.<br>• Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.<br>• Connect data from multiple enterprise applications and align it into a consistent, usable format.<br>• Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.<br>• Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.<br>• Strengthen platform stability through better monitoring, testing practices, and operational improvements.<br>• Tune and optimize data processing performance while contributing to ongoing platform enhancements.<br>• Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.<br>• Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.<br>• Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
<p>We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data pipelines, improving data availability, and enabling scalable processing for analytics and operational needs. The ideal candidate brings strong hands-on experience with modern data engineering tools and can work across large data sets with accuracy and efficiency.</p><p><br></p><p><strong>Role :</strong></p><ul><li>Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.</li><li>Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.</li><li>Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.</li><li>Build, optimize, and support ETL pipelines across on-premises and cloud environments.</li><li>Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.</li><li>Validate reporting logic, data transformations, and reporting accuracy.</li><li>Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.</li><li>Participate in architecture discussions and provide technical recommendations aligned with business objectives.</li><li>Create and maintain technical documentation including solution designs, data mappings, and operational procedures.</li><li>Participate in code reviews and enforce development, reporting, and data governance standards.</li><li>Mentor junior developers through technical guidance and knowledge-sharing activities.</li><li>Support Agile delivery activities including sprint planning, backlog refinement, and project execution.</li><li>Collaborate with stakeholders and leadership teams to support business intelligence initiatives.</li><li>Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.</li></ul><p><br></p><p><br></p><p><br></p>