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300 results for Devops Engineer jobs

Cloud Engineer

Norristown, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Cloud Engineer to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will play a key part in building and securing a new Azure cloud environment from the ground up. This position offers a unique opportunity to design and implement robust security measures, ensuring a strong foundation for organizational compliance and performance. Responsibilities: • Deploy and configure Microsoft Defender for Cloud across multiple Azure subscriptions to enhance security monitoring and threat protection. • Develop and implement Azure Policy definitions and assignments to meet organizational and regulatory standards. • Design a comprehensive Log Analytics workspace architecture and configure diagnostic settings for consistent data collection. • Create and enforce Conditional Access policies within the Azure Active Directory environment. • Set up and manage network security groups, flow logs, and network monitoring tools to safeguard cloud-based resources. • Provide technical support for compliance controls to meet organizational and regulatory requirements. • Prepare detailed security architecture documentation, including policy baselines and operational procedures, to guide ongoing team operations.
2026-05-28T00:00:00Z

Cloud Engineer

Lansing, MI
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for a Cloud Engineer to design and support resilient cloud environments that help the business operate securely and efficiently. This role focuses on building scalable infrastructure, automating deployment processes, and improving platform reliability across modern cloud services. Based in Lansing, Michigan, the position plays a key part in strengthening performance, governance, and cost control within cloud operations. Responsibilities: • Design and maintain cloud infrastructure that supports high availability, scalability, and strong operational performance. • Build automated provisioning and configuration workflows using infrastructure-as-code and configuration management tools. • Lead cloud adoption efforts by planning and executing the movement of applications, data, and services from on-premises environments. • Implement security controls such as identity access management, network protections, and encryption to safeguard systems and information. • Monitor cloud resources, troubleshoot platform issues, and refine usage to improve efficiency, uptime, and cost management. • Manage and optimize services across platforms such as AWS and Microsoft Azure to meet technical and business needs. • Support containerized and orchestration-based environments, including Kubernetes, to improve deployment consistency and scalability. • Collaborate with engineering and operations teams to strengthen CI/CD processes using tools such as GitHub, Azure DevOps, and pipeline technologies.
2026-06-19T00:00:00Z

Cloud Engineer

Portland, OR
onsite
Temporary / Contract
65 - 70 USD / Hourly
Robert Half is seeking an experienced Cloud Engineer to support the design, implementation, and optimization of enterprise cloud infrastructure. This role will focus on developing scalable, reliable, and secure cloud solutions that support business-critical applications and services. The ideal candidate will have strong experience across public cloud platforms, infrastructure automation, and cloud operations. Location: Hybrid in Portland <ul><li>Pay by Park</li></ul>Duration: 6 months with potential to extend/convertSchedule: Monday-Thursday (Onsite), Fridays (Remote) - 8am-5pm PST Key Responsibilities:<ul><li>Participate in the architecture, design, and implementation of cloud solutions that meet scalability, performance, security, and reliability requirements.</li><li>Collaborate with technical and non-technical stakeholders to understand business needs and translate requirements into cloud-based solutions.</li><li>Promote best practices across cloud architecture, infrastructure management, security, and operational processes.</li><li>Enable teams to effectively leverage cloud resources while balancing performance, scalability, cost optimization, compliance, and security requirements.</li><li>Drive improvements through automation, Infrastructure as Code (IaC), monitoring, logging, troubleshooting, and operational excellence initiatives.</li><li>Implement and maintain CI/CD pipelines and automated deployment processes.</li><li>Develop and enhance cloud standards, policies, procedures, and governance frameworks.</li><li>Stay current on emerging cloud technologies and industry best practices, recommending improvements that increase efficiency, security, and platform maturity.</li><li>Support cloud infrastructure troubleshooting, performance tuning, and incident resolution.</li></ul>
2026-06-27T00:00:00Z

Cloud Engineer

Norristown, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Cloud Engineer to lead the development of a robust Azure environment within a hub-and-spoke architecture. This long-term contract position is based in King of Prussia, Pennsylvania, and offers an exciting opportunity to design and implement scalable cloud solutions. The role involves hands-on engineering, collaboration with architects, and the supervision of a small team to deliver high-quality infrastructure-as-code (IaC) solutions. Responsibilities: • Lead the creation and implementation of eight Azure subscriptions using Terraform or Bicep, following a hub-and-spoke model. • Develop, maintain, and optimize infrastructure-as-code modules for a variety of services including networking, Key Vault, storage, compute, container services, and monitoring. • Design, test, and execute migration and remediation scripts to support workload transitions. • Oversee and guide the daily activities of two Cloud Engineers working on environment replication and build tasks. • Collaborate with the Databricks vendor to ensure seamless platform integration and address infrastructure needs. • Participate in architecture reviews, offering actionable feedback to align designs with implementation goals. • Create detailed documentation, runbooks, and knowledge transfer materials to support long-term team operations.
2026-05-28T00:00:00Z

Cloud Engineer

Norristown, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Cloud Engineer to join our team in King of Prussia, Pennsylvania. In this long-term contract role, you will design and implement Azure infrastructure solutions, working with established Infrastructure as Code (IaC) patterns and modules. This position requires expertise in managing complex configurations and cross-environment dependencies to ensure seamless operations. Responsibilities: • Develop and deploy Azure infrastructure using Terraform or Bicep modules provided by the Senior Cloud Engineer. • Manage and resolve complex configurations that involve multiple environments or interconnected workstreams. • Execute migration and remediation processes during workload transitions and cutover events. • Validate the deployed infrastructure to ensure alignment with target-state design specifications. • Troubleshoot and resolve deployment issues, addressing any configuration conflicts that arise. • Contribute to the creation and maintenance of documentation and knowledge-sharing materials for team use.
2026-06-15T00:00:00Z

Cloud Engineer

Herndon, VA
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for a Cloud Engineer to help create resilient, modern cloud solutions that support large-scale, event-driven workloads in Northern, Virginia. This position combines technical architecture, hands-on engineering, and close collaboration with stakeholders to deliver secure, high-performing systems. The role is ideal for someone who can balance strategic thinking with practical execution while guiding teams and strengthening client partnerships. Responsibilities:• Create and refine cloud-native, serverless solutions designed to support high-throughput data processing and event-based applications.• Work directly with stakeholders to understand operational goals, identify limitations, and recommend effective technical approaches.• Provide technical guidance to decision-makers by evaluating options, outlining risks, and helping resolve complex engineering issues.• Build trusted relationships with clients and contribute to team growth through mentorship, collaboration, and technical leadership.• Remain actively involved in delivery by participating in architecture reviews, overseeing implementation quality, and developing prototypes when needed.• Investigate production issues and optimize system reliability, scalability, and overall performance across cloud environments.
2026-06-25T00:00:00Z

Cloud Engineer

Cleveland, OH
remote
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Cloud Engineer to strengthen and evolve our cloud and identity environment in Independence, Ohio. This role combines solution design with hands-on engineering to support secure, scalable infrastructure across hybrid systems. The ideal candidate will work closely with technical stakeholders to improve governance, enable modernization efforts, and maintain reliable platform operations. Responsibilities:• Build and support hybrid identity solutions that connect Active Directory, Microsoft Entra ID, and Okta across enterprise environments.• Develop and enforce secure access models using Conditional Access, privileged access controls, and governance practices that align with compliance expectations.• Engineer Azure infrastructure components, including network topology, segmentation, and connectivity between cloud and on-premises systems.• Drive the planning and execution of workload migrations from local infrastructure into Azure while maintaining stability and security.• Administer cloud security services, certificates, and monitoring capabilities to protect platform resources and improve visibility.• Partner with leadership and cross-functional teams to establish cloud standards, deployment practices, and cost management approaches.• Contribute to the design and protection of internal AI-related infrastructure in Azure, including access management for emerging platform services.• Troubleshoot issues involving cloud services, identity platforms, and network connectivity, and document architecture and operating procedures clearly.• Participate in recurring infrastructure maintenance and lifecycle activities to support system performance, reliability, and compliance.
2026-06-25T00:00:00Z

Fullstack Developer

Southfield, MI
onsite
Temporary / Contract
54.15 - 62.7 USD / Hourly
We are looking for a Fullstack Developer to join a long-term contract opportunity based in Southfield, Michigan. In this role, you will build and improve custom web applications that support business needs across a global environment while contributing to modern development practices and scalable technical solutions. This position is ideal for someone who enjoys working across front-end and back-end technologies, partnering with cross-functional teams, and applying emerging tools to deliver reliable, user-focused software. Responsibilities: • Design, build, and enhance custom applications and websites using modern full-stack development practices across front-end and back-end environments. • Partner with business analysts, project managers, relationship managers, and support teams to turn business goals into effective technical solutions. • Strengthen development capabilities by introducing practical tools, frameworks, and engineering approaches that improve delivery quality and team efficiency. • Contribute to architectural planning by helping integrate both new and existing development methods into broader application design strategies. • Create and streamline automated development workflows while advancing the use of monitoring and application management solutions. • Support planning and execution for application maintenance, performance oversight, and long-term support initiatives. • Participate in change management activities tied to application enhancements, upgrades, and enterprise system integrations. • Present project updates, technical recommendations, and support status clearly to IT leadership and business stakeholders.
2026-06-23T00:00:00Z

Microsoft 365 Engineer

Irvine, CA
onsite
Temporary / Contract
70 - 80 USD / Hourly
We’re looking for a hands-on Microsoft 365 Engineer with strong experience deploying and rolling out Microsoft Purview to support a growing data governance and compliance program.This is not a support/admin role, this role needs someone who has built and implemented Purview in a developing environment, and can help bring structure to an early-stage rollout. Key Responsibilities<ul><li>Lead hands-on deployment and configuration of Microsoft Purview in an early-stage environment</li><li>Drive Phase 1 data labeling, including strategy, design, and policy implementation</li><li>Configure and operationalize: Data Loss Prevention (DLP), Sensitivity Labels, Retention policies, & eDiscovery (as needed)</li><li>Help define and execute a phased Purview roadmap in a still-evolving environment</li><li>Partner with stakeholders to drive organization-wide rollout of compliance controls and policies</li><li>Support data migration, classification, and labeling within Microsoft 365</li><li>Assist with scanning and classifying legacy file shares and network repositories</li><li>Provide broader M365 engineering support, with a focus on Purview</li><li>Use PowerShell for compliance and policy configuration where needed</li></ul>
2026-06-26T00:00:00Z

Data Engineer

Miami, FL
onsite
Temporary / Contract
50 - 60 USD / Hourly
We are looking for a talented Data Engineer to join our team in Miami, Florida. This long-term contract position offers the opportunity to work on cutting-edge technologies and contribute to the development of efficient data pipelines and processes. The ideal candidate will have a strong background in data engineering and a passion for delivering high-quality solutions that drive business success. Responsibilities:• Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools.• Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs.• Develop and maintain data models to support analytics, reporting, and operational processes.• Optimize data warehouse performance by tuning queries and managing resources effectively.• Ensure data quality through rigorous testing and governance protocols.• Implement security and compliance measures to protect sensitive data.• Research and integrate emerging technologies to enhance system capabilities.• Support ETL processes for data extraction, transformation, and loading.• Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets.• Provide technical guidance and support to team members and stakeholders.
2026-06-18T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
95000 - 110000 USD / Yearly
ONSITESeeking a Data Engineer to build and optimize scalable data pipelines and platforms supporting enterprise analytics, reporting, and AI initiatives. Responsibilities<ul><li>Build ETL/ELT pipelines (batch & streaming)</li><li>Design scalable data architectures (Lakehouse, warehouse)</li><li>Ensure data quality, governance, and security</li><li>Optimize performance, cost, and reliability</li><li>Partner with analytics, BI, and engineering teams</li></ul>
2026-06-15T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-06-18T00:00:00Z

Data Engineer

Greenville, SC
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Data Engineer to support and enhance critical data operations in Greenville, South Carolina. This role focuses on keeping data platforms dependable, efficient, and scalable across both real-time and scheduled workflows. The ideal candidate will bring strong technical expertise in cloud-based data environments and a proactive approach to improving performance, automation, and data reliability. Responsibilities: • Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms. • Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution. • Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency. • Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization. • Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput. • Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support. • Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency. • Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure. • Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy. • Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks.
2026-06-08T00:00:00Z

Data Engineer

Washington, DC
onsite
Temporary / Contract
55 - 60 USD / Hourly
Data Engineer – Databricks / Azure / AI Analytics You must be able to obtain and maintain a public trust clearance, Position OverviewWe are seeking a highly capable Data Engineer to design and support scalable data pipelines and analytics environments within a cloud-based Azure data platform. This role focuses on building modern data solutions using Databricks, Spark, and distributed data architectures, supporting enterprise-level analytics and AI initiatives.The ideal candidate brings hands-on expertise in Databricks engineering, cloud data pipelines, and data integration, along with strong collaboration skills to translate business requirements into technical solutions. This position offers the opportunity to work on large-scale data platforms and support advanced analytics and AI-driven workloads. Key ResponsibilitiesData Engineering & Pipeline Development<ul><li>Design, build, and optimize data pipelines using Databricks and Spark</li><li>Implement Medallion architecture and scalable data processing workflows</li><li>Develop ingestion pipelines for structured, streaming, and unstructured datasets</li></ul>Cloud & Platform Integration<ul><li>Work with Azure services (Data Factory, Storage, Functions, Log Analytics)</li><li>Integrate data across multiple sources to enable high-quality analytics</li><li>Support hybrid cloud initiatives and evolving data platforms</li></ul>Data Management & Optimization<ul><li>Ensure data quality, integrity, and accessibility across systems</li><li>Monitor pipeline performance and optimize cost, scalability, and efficiency</li><li>Support data governance, cataloging, and compliance standards</li></ul>Platform Operations & Support<ul><li>Troubleshoot performance issues, cluster stability, and configuration management</li><li>Support end-user requests and provide front-line platform support</li><li>Implement monitoring, logging, and alerting solutions</li></ul>DevOps & Automation<ul><li>Develop and maintain CI/CD pipelines and infrastructure-as-code (IaC)</li><li>Automate deployment and data workflows for improved efficiency</li><li>Support continuous delivery within Agile environments</li></ul>
2026-06-02T00:00:00Z

Data Engineer

Westchester, IL
remote
Temporary / Contract
70 - 80 USD / Hourly
We are looking for a Data Engineer to join a team on a Long-term Contract assignment. This position will play a key role in strengthening an established Microsoft Fabric environment by building scalable data solutions that improve reliability, accessibility, and business value. The ideal candidate brings strong technical depth in modern data engineering, paired with the ability to evaluate data design choices thoughtfully and communicate effectively with stakeholders. You will work with business-facing data needs while helping shape well-structured datasets that support reporting, analytics, and long-term platform maturity. Responsibilities:• Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability.• Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets.• Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context.• Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization.• Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes.• Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues.• Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools.• Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions.• Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases.
2026-06-18T00:00:00Z

Data Engineer

Chicago, IL
onsite
Temporary to Hire
55.4135 - 64.163 USD / Hourly
We are looking for a Data Engineer to join a real estate and property organization in Chicago, Illinois on a contract-to-permanent basis. This role is ideal for a hands-on builder who can create and improve modern data pipelines, manage core data platforms, and support reliable data delivery across the business. You will work within the Azure ecosystem to develop scalable solutions that connect multiple data sources, strengthen data quality, and enable informed decision-making. Responsibilities: • Design, build, and enhance end-to-end data pipelines using Microsoft Fabric and/or Azure Data Factory for production use. • Manage and improve the data environment with a strong ownership mindset, ensuring performance, reliability, and maintainability. • Integrate data from varied sources such as APIs, databases, and flat files into structured, usable datasets. • Develop data models and schema designs that support reporting, analytics, and downstream business needs. • Monitor data quality and implement validation checks, troubleshooting issues through root cause analysis and continuous optimization. • Create scalable cloud-based data solutions within Azure that support long-term operational and analytical goals. • Partner with cross-functional stakeholders to translate business questions into practical data engineering solutions. • Contribute to orchestration, automation, and ongoing support of data workflows using modern engineering tools and programming languages.
2026-06-22T00:00:00Z

Data Engineer

Beverly Hills, CA
remote
Temporary / Contract
50 - 53 USD / Hourly
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. Responsibilities: • Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin. • Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment. • Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems. • Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy. • Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions. • Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards. • Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows. • Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments. • Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.
2026-06-26T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Temporary to Hire
47.5 - 60 USD / Hourly
We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment. Responsibilities:• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model
2026-06-18T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-06-25T00:00:00Z

Data Engineer

Austin, TX
onsite
Temporary / Contract
50 - 60 USD / Hourly
Data EngineerOnsite | Austin, TX | Contract <ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and manage data architectures such as data warehouses, data lakes, and lakehouses</li><li>Ingest and integrate data from multiple sources (databases, APIs, streaming platforms)</li><li>Ensure data quality, integrity, and reliability across systems</li><li>Optimize data processing, storage, and query performance</li><li>Collaborate with data analysts, data scientists, and business teams to support analytics and reporting needs</li><li>Implement automation for data workflows, monitoring, and error handling</li><li>Troubleshoot and resolve data pipeline issues and performance bottlenecks</li><li>Support batch and real‑time data processing frameworks</li><li>Document data models, pipelines, and data engineering processes</li></ul>
2026-06-18T00:00:00Z

Data Engineer

New York, NY
onsite
Temporary / Contract
75 - 75 USD / Hourly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will play a critical part in managing and organizing data systems, ensuring they are optimized for performance and scalability. Based in New York, New York, this position offers an exciting opportunity to work on cutting-edge data platforms and contribute to impactful business solutions. Responsibilities: • Design, develop, and maintain data pipelines to support efficient data integration and processing. • Implement and manage Snowflake-based data repositories to centralize and secure organizational data. • Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy. • Develop ETL processes to extract, transform, and load data from various sources into centralized systems. • Collaborate with stakeholders to define data requirements and optimize system performance. • Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions. • Monitor and troubleshoot data systems to ensure reliability and address any issues promptly. • Deploy advanced analytics and AI models to drive operational efficiencies. • Document processes and provide technical support to ensure smooth implementation and usage of data systems.
2026-06-24T00:00:00Z

Data Engineer

Chicago, IL
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued. Responsibilities: • Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem. • Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools. • Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting. • Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure. • Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma. • Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery. • Assess emerging technologies and recommend practical additions to the data stack as business needs evolve. • Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
2026-06-22T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
58 - 72 USD / Hourly
Robert Half is seeking a Contract Data Engineer 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. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-06-23T00:00:00Z

Data Engineer

Centennial, CO
onsite
Temporary / Contract
63.3365 - 73.337 USD / Hourly
We are looking for an experienced Data Engineer to join a long-term contract engagement in Colorado. This position centers on designing and improving cloud-based data solutions that support enterprise analytics and AI-driven initiatives. The role is ideal for a hands-on, detail-oriented individual who excels in preparing reliable, scalable data assets and partnering with technical teams in a modern Microsoft-focused environment. Responsibilities: • Design, develop, and enhance scalable data pipelines to support enterprise reporting, analytics, and AI use cases. • Transform, cleanse, and organize complex data from multiple sources so it can be used effectively by downstream engineering and machine learning teams. • Build and maintain robust data workflows in a cloud-based ecosystem using Microsoft Fabric, Synapse Analytics, Azure Data Factory, and Databricks. • Collaborate with data engineers, ML engineers, and other technical stakeholders to create efficient and dependable data architecture. • Monitor pipeline performance and resolve issues related to data quality, reliability, and processing efficiency across platforms. • Orchestrate data ingestion, movement, and transformation processes for large-volume datasets in a backend-focused engineering environment. • Support AI and machine learning initiatives by delivering well-structured datasets optimized for model development and operational use. • Contribute to scalable lakehouse or warehouse-oriented data solutions while helping align engineering practices with cloud data best practices.
2026-06-15T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
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. Responsibilities: • Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI. • Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments. • Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions. • Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization. • Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices. • Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth. • Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions. • Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business. • Administer BI platforms to maintain performance, reliability, and appropriate security controls. • Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
2026-06-16T00:00:00Z

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