We are looking for a Data Engineer to help strengthen enterprise data capabilities and expand access to reliable information across the organization. This position focuses on building scalable data solutions that support analytics, reporting, and informed decision-making. Based in San Diego, California, the role works closely with both technical and business stakeholders to deliver dependable, high-quality data assets.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines that move and transform information from diverse platforms into usable analytical datasets.<br>• Develop and support end-to-end integration workflows across multiple systems to ensure consistent and timely data delivery.<br>• Design data models and reporting structures that improve usability, performance, and accessibility for downstream analytics needs.<br>• Track data quality and platform performance, investigating issues and resolving reliability concerns before they affect business operations.<br>• Collaborate with cross-functional partners to translate reporting and analytics needs into scalable technical solutions.<br>• Maintain clear documentation and contribute to governance practices that promote accuracy, consistency, and operational discipline.<br>• Assist with validation, release activities, and continuous enhancements to improve the overall effectiveness of the data platform.<br>• Contribute to cloud-based data engineering efforts using tools such as Azure Data Factory, Azure Data Lake, Microsoft Fabric, Spark, Kafka, and Hadoop where appropriate.
We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations.<br><br>Responsibilities:<br>• Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin.<br>• Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment.<br>• Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems.<br>• Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy.<br>• Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions.<br>• Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards.<br>• Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows.<br>• Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments.<br>• Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract-to-permanent basis. This role focuses on building and enhancing modern data pipelines within a cloud-centered environment, with Snowflake serving as the primary data platform. The ideal candidate will help deliver production-ready solutions, strengthen data reliability, and apply disciplined engineering practices to support scalable, near real-time data processing.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs.<br>• Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance.<br>• Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows.<br>• Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement.<br>• Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls.<br>• Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components.<br>• Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices.<br>• Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows.<br>• Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate.
We are looking for a skilled Data Engineer to join our team in Tampa, Florida. This is a Contract to permanent position, offering an excellent opportunity to contribute to innovative business intelligence solutions while advancing your career. The ideal candidate will have a strong background in data engineering, database design, and analytics, with the ability to solve complex problems and deliver high-quality results.<br><br>Responsibilities:<br>• Design and implement robust business intelligence solutions tailored to meet organizational needs.<br>• Collaborate with stakeholders to gather user requirements and translate them into technical and functional specifications.<br>• Create and maintain databases and data marts that support analytics and reporting activities.<br>• Develop and optimize ETL processes to efficiently load data into data marts.<br>• Monitor and ensure the accuracy, consistency, and quality of data within databases and reporting systems.<br>• Recommend and implement governance practices to improve self-service BI and analytics capabilities.<br>• Develop automated data validation checks to maintain data integrity and accuracy.<br>• Utilize dimensional modeling and star/snowflake schemas to design effective data warehouses.<br>• Troubleshoot and debug issues across application and database layers to ensure smooth operations.<br>• Perform exploratory data analysis to identify trends, anomalies, and areas for improvement.
<p>We are proactively seeking experienced Data Engineers for upcoming contract and contract-to-hire opportunities with our clients across a variety of industries. These roles offer the opportunity to work on modern cloud data platforms, enterprise analytics initiatives, and large-scale data transformation projects.</p><p>The ideal candidate has strong experience building scalable data pipelines, supporting enterprise reporting and analytics environments, and working closely with BI, analytics, and engineering teams to deliver reliable, business-critical data solutions.</p><p><strong>Responsibilities</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines and data integration processes</li><li>Develop and optimize cloud-based data solutions within Azure, AWS, or GCP environments</li><li>Support enterprise BI and analytics initiatives by delivering clean, reliable, analytics-ready datasets</li><li>Work with large datasets across data warehouses, data lakes, and operational systems</li><li>Collaborate with business stakeholders, analysts, and development teams to gather requirements and deliver data solutions</li><li>Optimize SQL queries, database performance, and data processing workflows</li><li>Support data governance, quality, validation, and automation initiatives</li><li>Participate in data architecture, modernization, and migration projects</li></ul>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
<p>We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders.</p><p><br></p><p>This is a 3-6 month contract opportunity. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.</p><p>• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.</p><p>• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.</p><p>• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.</p><p>• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.</p><p>• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.</p><p>• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.</p><p>• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.</p><p>• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.</p>
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs.<br>• Create new data integration workflows while troubleshooting and resolving issues in existing pipelines.<br>• Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability.<br>• Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency.<br>• Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement.<br>• Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain.<br>• Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate.<br>• Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities.
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals.<br><br>Responsibilities:<br>• Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers.<br>• Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures.<br>• Ensure data security and access through role-based controls and best practices for data sharing.<br>• Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions.<br>• Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets.<br>• Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies.<br>• Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations.<br>• Implement automated workflows and CI/CD processes for seamless deployment of data solutions.<br>• Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation.<br>• Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment.<br><br>Responsibilities:<br>• Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data.<br>• Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management.<br>• Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities.<br>• Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance.<br>• Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets.<br>• Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate.<br>• Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support.<br>• Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures.<br>• Protect data assets by applying security controls and compliance standards across the Databricks environment.<br>• Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing.<br><br>Responsibilities:<br>• Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery.<br>• Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers.<br>• Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse.<br>• Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff.<br>• Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs.<br>• Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability.<br>• Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations.<br>• Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
<p>A Manufacturing and distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p>• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p>• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p>• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p>• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p>• Ensure data quality, governance, and integrity by implementing and enforcing best practice</p>
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
<p>We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build and maintain <strong>ETL/ELT pipelines</strong> using Azure Data Factory</li><li>Develop data solutions in <strong>Azure Databricks (PySpark / Spark)</strong></li><li>Optimize data processing performance and cost efficiency</li><li>Work with structured and unstructured data across cloud platforms</li><li>Collaborate with analytics and business stakeholders to define data requirements</li><li>Ensure data quality, governance, and documentation</li></ul><p><br></p>
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
<p>We are looking for an experienced DevOps Engineer (AWS) to support and enhance a cloud-first platform environment in Salt Lake City, Utah. This is a Contract position focused on building reliable infrastructure, improving deployment workflows, and maintaining secure, scalable services across development and production systems. The ideal candidate will bring strong hands-on expertise in AWS, Kubernetes, Terraform, Linux administration, and CI/CD practices to help keep critical platforms running efficiently.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and maintain AWS-based infrastructure and platform services to support secure and dependable application operations.</p><p>• Administer Kubernetes environments, including workload deployments, namespace governance, service accounts, scheduled jobs, and access controls.</p><p>• Build and manage infrastructure through Terraform, covering reusable modules, environment setup, state maintenance, and configuration drift resolution.</p><p>• Develop, optimize, and support CI/CD workflows in GitHub Actions to streamline testing, releases, and ongoing delivery activities.</p><p>• Manage AWS services such as EC2, IAM, Lambda, networking components, load balancing, security groups, site-to-site connectivity, and monitoring tools.</p><p>• Configure observability and alerting solutions, analyze logs and system behavior, and assist with incident response and performance monitoring.</p><p>• Maintain repository standards, branching practices, secrets handling, and automated scheduled processes within GitHub environments.</p>
<p>We are seeking a Senior Automation Engineer with strong expertise in <strong>Playwright</strong> and <strong>TypeScript</strong> to drive test automation efforts across modern software products in a regulated environment. This role will serve as the automation SME within Agile product teams, developing scalable automation solutions and supporting quality throughout the software development lifecycle.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain automated tests using Playwright and TypeScript.</li><li>Build UI, API, integration, regression, and end-to-end test automation.</li><li>Enhance and maintain enterprise automation frameworks and reusable test components.</li><li>Develop API and integration tests for complex workflows and data flows.</li><li>Support automated testing within CI/CD pipelines (GitLab CI preferred).</li><li>Troubleshoot automation failures and optimize test execution.</li><li>Collaborate with Product Owners, Developers, QA, and business stakeholders.</li><li>Participate in Agile ceremonies, code reviews, and quality initiatives.</li><li>Ensure compliance with validation, quality, and documentation standards.</li></ul><p>Benefits</p><ul><li>Competitive salary up to $120,000 USD</li><li>Bonus opportunities</li><li>Medical and dental coverage</li><li>Paid time off</li><li>Retirement savings plan</li><li>Professional development support</li><li>Fully remote within North America</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
<p>We are looking for a Test Engineer to support interoperability testing across connected medical device systems. This role focuses on executing test cases to validate data exchange, system integration workflows, and conformance to healthcare interoperability standards. The engineer will play a critical role in hands-on test execution, defect identification, and accurate reporting in a regulated environment.</p><p>This position supports increased testing demand tied to multiple concurrent product releases, including Novum IQ, IQE, Spectrum, and Gen V WBM initiatives.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Execute predefined interoperability test cases across medical device systems, interfaces, and integration platforms.</p><p>· Validate device-to-system and system-to-system data exchange for accuracy, completeness, and reliability.</p><p>· Record test results, capture system logs, and document defects with clear reproducibility steps.</p><p>· Perform testing aligned with healthcare standards such as HL7, FHIR, DICOM, and IHE profiles.</p><p>· Validate message structures, data mapping, and end-to-end workflows.</p><p>· Verify system behavior under both normal and exception scenarios (e.g., malformed data, connectivity interruptions).</p><p>· Identify, isolate, and document defects related to interoperability, integration, and data integrity.</p><p>· Support root cause analysis by providing detailed logs and test evidence.</p><p>· Re-test fixes and participate in regression testing cycles.</p><p>· Configure and utilize test tools, simulators, and mock systems to replicate interoperability scenarios.</p><p>· Assist in maintaining test environments and system connectivity configurations.</p><p>· Maintain accurate and traceable test records within ALM/test management tools.</p><p>· Provide regular updates on test progress, risks, and issues.</p>
We are looking for an Azure DevOps Engineer II to support engineering teams by streamlining software delivery, strengthening code quality, and improving the reliability of cloud-based development workflows. This Long-term Contract position is fully remote and requires availability during East Coast business hours, with the role based in Providence, Rhode Island. The ideal candidate brings strong software development experience in .NET, C#, or Java, along with deep hands-on knowledge of Azure services, API development, automation, and modern DevOps practices.<br><br>Responsibilities:<br>• Partner with technical leads and software engineers to evaluate current development and release workflows and recommend practical improvements that increase efficiency and reliability.<br>• Analyze recurring delays or friction points across coding, testing, deployment, and support processes, then implement solutions that remove obstacles for development teams.<br>• Design and maintain automation for build, deployment, and infrastructure management using infrastructure-as-code and other DevOps tooling.<br>• Support cloud environments by performing routine operational checks, monitoring system health, tracking capacity concerns, and sharing status updates with stakeholders.<br>• Deploy application components and services to the appropriate environments while following established standards for stability, security, and consistency.<br>• Build and refine engineering standards, reusable processes, and scripts that help teams deliver code more quickly and with fewer errors.<br>• Work closely with developers and other technical partners to gather feedback on pain points and translate those insights into actionable platform improvements.<br>• Contribute to the administration, configuration, and troubleshooting of cloud platforms, containerized workloads, and supporting services across modern environments.<br>• Collaborate with the broader DevOps function to deliver cohesive solutions for CI/CD, observability, and platform operations across the organization.
We are looking for an experienced Sr Systems Engineer to support and enhance enterprise infrastructure in Illinois. This Long-term Contract opportunity is ideal for a technical leader who can resolve complex systems challenges, strengthen security, and improve reliability across cloud and on-premises environments. The role will focus on modernizing core platforms, advancing automation, and partnering with cross-functional teams to deliver scalable, well-governed infrastructure solutions.<br><br>Responsibilities:<br>• Serve as the primary technical resource for diagnosing and resolving advanced infrastructure, platform, and systems-related issues.<br>• Lead the alignment and consolidation of acquired or distributed environments to promote consistency, security, and operational stability.<br>• Create and maintain automation tools and scripts using Python and/or Bash to streamline administration and reduce manual effort.<br>• Manage and improve Microsoft 365, Azure, and related identity services to ensure performance, availability, and effective access management.<br>• Direct infrastructure security efforts by applying hardening standards, addressing vulnerabilities, and improving overall risk posture.<br>• Work closely with application and technology teams to support secure integrations and dependable system connectivity.<br>• Enhance cloud design, backup and recovery capabilities, and data protection practices to strengthen resilience and integrity.<br>• Contribute to audit and regulatory readiness by supporting infrastructure controls tied to compliance programs.<br>• Partner on technology initiatives to deliver scalable, secure, and efficient infrastructure outcomes across the organization.
<p>Position: DevOps Engineer (Mobile-First)</p><p>Location: Remote - Full Time | Direct Hire</p><p>Salary: $120,000-149,000 base annual salary + bonus + excellent benefits</p><p>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p><br></p><p>Build It. Ship It. Scale It.</p><p>This is not a maintenance DevOps role.</p><p>We’re building a brand‑new, mobile‑first digital platform inside a well‑established enterprise — and we’re doing it the right way from day one. If you thrive in ambiguity, like shipping real product, and want to work alongside a Senior DevOps Engineer who is setting a very high technical bar, this role is for you.</p><p>You’ll work closely with a rockstar Senior DevOps Engineer to design, build, and evolve modern cloud infrastructure that empowers product engineers to move fast without breaking things. This is a hands‑on role where you’ll have real ownership, not tickets and red tape.</p><p><br></p><p>What You’ll Work On</p><p>• Build and maintain fast, reliable CI/CD pipelines that support frequent releases</p><p>• Help stand up and evolve AWS‑based infrastructure using Infrastructure as Code (Terraform / CloudFormation)</p><p>• Partner with engineers to enable developer self‑service and remove bottlenecks</p><p>• Support containerized workloads (Docker, Kubernetes) with a pragmatic, “don’t‑over‑engineer” mindset</p><p>• Implement monitoring, logging, and alerting to improve visibility and reliability</p><p>• Contribute to security‑first pipelines — vulnerability scanning, guardrails, and best practices</p><p>• Participate in incident response, root cause analysis, and continuous improvement</p><p>• Document standards, patterns, and lessons learned as the platform matures</p><p><br></p><p>The Environment You’re Joining</p><p>• Remote‑first, tight‑knit product and engineering team</p><p>• Startup‑like pace with strong executive backing</p><p>• Greenfield digital platform integrating multiple business domains</p><p>• Mobile‑first mindset with real users and real scale</p><p>• Engineering culture that values ownership, clarity, and collaboration</p><p><br></p><p>What We’re Looking For</p><p>• 3+ years of experience in DevOps, SRE, or infrastructure engineering</p><p>• Hands‑on experience with AWS (EC2, ECS/EKS, Lambda, S3, CloudWatch, IAM)</p><p>• CI/CD experience with tools like GitHub Actions, Jenkins, or similar</p><p>• Familiarity with Infrastructure as Code (Terraform and/or CloudFormation)</p><p>• Exposure to containers and orchestration (Docker, Kubernetes)</p><p>• Scripting skills (Bash, Python, or similar)</p><p>• Foundational understanding of networking, security, and system administration</p><p>• Comfortable working in fast‑moving, ambiguous environments</p><p><br></p><p>If you’re a builder, not a button‑pusher — and you want to grow into a senior‑level DevOps engineer while shipping real product — this is a rare opportunity.</p><p><br></p>
<p>We are looking for an Electrical Systems Design Engineer to join our team in NW Tampa, FL area. In this role, you will develop industrial electrical system designs for complex equipment projects, working closely with multidisciplinary teams to deliver practical, code-compliant solutions. This position is ideal for an engineer who brings strong design expertise, attention to detail, and the ability to balance technical performance, reliability, and cost considerations throughout the project lifecycle.</p><p><br></p><p>Responsibilities:</p><p>• Direct the development of electrical system designs from initial concept through final release, ensuring alignment with applicable codes, standards, and project expectations.</p><p>• Partner with mechanical engineering, project management, and customer stakeholders to define technical needs and translate them into effective design solutions.</p><p>• Create, revise, and maintain process and instrumentation documentation to support accurate system design and project execution.</p><p>• Evaluate and specify electrical hardware such as motors, variable speed drives, controllers, and sensing devices based on functionality, dependability, and budget targets.</p><p>• Produce complete electrical drawing packages in Eplan, including schematics, enclosure layouts, hookup details, instrument documentation, and bills of materials.</p><p>• Review design feedback from internal and external stakeholders and incorporate updates that improve clarity, quality, and manufacturability.</p><p>• Provide day-to-day technical support and mentorship to less experienced engineers and designers to strengthen team capability and consistency.</p><p>• Assist with sourcing activities by coordinating with suppliers, reviewing technical submittals, and confirming component suitability for project requirements.</p><p>• Take part in design reviews, project discussions, and occasional site visits to communicate status, resolve technical issues, and support successful system integration.NW </p>
We are looking for a skilled Software Developer to join our dynamic team in Jacksonville, Florida. In this role, you will design, develop, and maintain software solutions that meet business needs while ensuring high-quality performance and reliability. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects.<br><br>Responsibilities:<br>• Develop and maintain software applications using .NET, C#, ASP.NET, and other relevant frameworks.<br>• Collaborate with cross-functional teams to gather requirements and design technical solutions.<br>• Write clean, efficient, and well-documented code to ensure high performance and scalability.<br>• Troubleshoot and resolve software issues to maintain system stability.<br>• Conduct testing and debugging to ensure functionality meets specifications.<br>• Stay updated with emerging technologies and apply them to improve software development processes.<br>• Participate in code reviews to ensure adherence to best practices and standards.<br>• Create technical documentation to support development processes and user understanding.<br>• Optimize application performance by analyzing and addressing bottlenecks.<br>• Provide ongoing support and maintenance for existing software systems.