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233 results for Engineering Manager jobs

Data Engineer

Kaysville, UT
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
We are looking for a detail-oriented and innovative Data Engineer to join our team on a long-term contract basis. In this role, you will focus on designing, building, and maintaining data pipelines while ensuring data quality and integrity across various platforms. This position is based in Kaysville, Utah, and offers an exciting opportunity to contribute to the seamless flow of data within a dynamic environment. Responsibilities: • Develop, optimize, and maintain data pipelines to facilitate efficient data ingestion, transformation, and integration from diverse sources. • Utilize Snowflake and other cloud platforms to manage and enhance data storage solutions for high performance and scalability. • Create and maintain clean, efficient code to interface with APIs for seamless data extraction and integration. • Implement rigorous data validation and quality assurance processes to ensure data accuracy and reliability. • Leverage AI tools to enhance coding efficiency, automate repetitive tasks, and troubleshoot complex issues. • Collaborate with cross-functional teams to align data workflows with organizational goals and objectives. • Optimize SQL queries and workflows to improve performance and reduce processing time. • Work with tools like dbt and Python to build and orchestrate scalable data workflows. • Stay updated on emerging technologies and best practices in data engineering to continuously improve processes.
2026-04-21T00:00:00Z

Data Engineer

West Los Angeles, CA
onsite
Permanent / Full Time
100000 - 150000 USD / Yearly
Mid-Level Data Engineer (On-Site | Los Angeles, CA)Build systems that actually drive business decisions. This is not a “maintain the pipeline and go home” kind of role. We’re looking for a sharp, early-career Data Engineer who wants to operate close to the business, own meaningful projects end-to-end, and build systems that directly impact how decisions get made across an entire organization. You’ll join a small, high-performing team where your work won’t get buried—it will be seen, used, and relied on daily. If you’re someone who enjoys solving messy problems, building from scratch, and working in a fast-paced, high-expectation environment, this is the kind of role where you’ll grow quickly. What You’ll Do<ul><li>Design and build automated data systems (e.g., billing workflows, internal tools)</li><li>Create and maintain BI dashboards and reports using Python, Excel, and visualization tools</li><li>Write and optimize SQL queries and ETL pipelines for clean, reliable data flow</li><li>Analyze large datasets to uncover actionable insights and trends</li><li>Partner with stakeholders across the business to translate needs into technical solutions</li><li>Help improve data accessibility and usability across departments</li><li>Ensure data integrity and accuracy through audits and troubleshooting</li><li>Contribute to a growing data function with high visibility and ownership</li></ul>Why This Role Stands Out<ul><li>High ownership: You’ll build systems from the ground up, not just maintain them</li><li>Small team, big impact: Work directly with senior leadership and decision-makers</li><li>Growth opportunity: The team is expanding—this role can evolve quickly</li><li>Flexibility within intensity: While this is a high-performance environment, there’s trust and flexibility when needed</li></ul>
2026-04-16T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, develop, and maintain data pipelines and systems that support critical business operations within the manufacturing industry. Your expertise in data engineering technologies and frameworks will be key to ensuring efficient data processing and integration. Responsibilities: • Develop, optimize, and maintain scalable data pipelines to process large datasets efficiently. • Implement ETL processes to extract, transform, and load data from various sources into centralized systems. • Leverage Apache Spark, Hadoop, and Kafka to design solutions for real-time and batch data processing. • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. • Monitor and troubleshoot data systems to ensure reliability and performance. • Document data workflows and processes to ensure clarity and maintainability. • Conduct testing and validation of data systems to ensure accuracy and quality. • Apply Python programming to automate data tasks and streamline workflows. • Stay updated on industry trends and emerging technologies to propose innovative solutions. • Ensure compliance with data security and privacy standards in all engineering efforts.
2026-04-22T00:00:00Z

Data Engineer

Missoula, MT
remote
Temporary to Hire
60 - 65 USD / Hourly
Robert Half is seeking a Data Engineer to design, build, and maintain enterprise data infrastructure and analytics platforms. This role will serve as the technical owner of data architecture, ensuring data quality, governance, and accessibility across the organization.This is a highly visible role supporting leadership and business teams by enabling reliable, data-driven decision-making through scalable data solutions and modern analytics tools. Job Responsibilities<ul><li>Design and implement enterprise data architecture, including data models and integration patterns to establish a single source of truth </li><li>Build and manage analytics platforms to support reporting and business intelligence initiatives </li><li>Develop and maintain high-impact dashboards using Power BI or similar tools for leadership and operational teams </li><li>Design and build automated ETL/ELT pipelines across multiple systems and data sources </li><li>Define and enforce data governance standards, including metric definitions, data quality rules, and access controls </li><li>Monitor and optimize data pipeline performance, including troubleshooting failures and implementing automated error handling </li><li>Investigate and resolve data quality issues (e.g., duplicates, sync failures) and implement proactive monitoring solutions </li><li>Enable self-service analytics by creating user-friendly data models and supporting end users with training and documentation </li><li>Ensure compliance with data security and regulatory requirements, including proper data handling and access controls </li><li>Partner with IT leadership to recommend tools, technologies, and best practices to enhance data capabilities </li></ul>
2026-04-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, build, and manage data pipelines and systems to support business operations and decision-making processes. This position offers an exciting opportunity to work with cutting-edge technologies within the energy and natural resources sector. Responsibilities: • Develop and maintain scalable data pipelines to efficiently process large volumes of data. • Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs. • Implement and optimize ETL processes to ensure the accuracy and reliability of data flows. • Utilize technologies such as Apache Spark, Hadoop, and Kafka to manage and process data streams. • Monitor and troubleshoot data systems to ensure optimal performance and reliability. • Perform data integration from multiple sources to create unified datasets for analysis. • Ensure data security and compliance with organizational and industry standards. • Continuously evaluate and adopt new tools and technologies to enhance data engineering practices. • Provide technical guidance and mentorship to entry-level team members as needed.
2026-04-14T00:00:00Z

Data Engineer

Memphis, TN
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
We are supporting our client in hiring a Product Data Engineer who will take full ownership of their product information environment. This role centers on managing their PIM solution (Salsify), improving data structures, and building automated, API‑driven integrations that ensure product data is clean, scalable, and synchronized across platforms.This position will be deeply involved in a major product‑data overhaul, including cleanup, restructuring, and long‑term system improvements. The ideal candidate is someone who enjoys solving data problems, building automated workflows, and improving the reliability of product information across systems. Key ResponsibilitiesProduct Data Platform Ownership<ul><li>Act as the primary administrator for the PIM platform</li><li>Define and maintain product attributes, hierarchies, and data relationships</li><li>Create validation rules, formulas, and workflows to enforce data standards</li><li>Manage permissions, governance, and platform configuration</li><li>Troubleshoot issues related to imports, exports, and publishing</li></ul>Integrations & Automation<ul><li>Manage integrations between the PIM and internal/external systems (eCommerce, retail, etc.)</li><li>Build and support API‑based data flows with a focus on reliability and scale</li><li>Develop automation using scripting (Python preferred)</li><li>Support event‑driven or automated pipelines to reduce manual work</li><li>Monitor integration performance and proactively resolve failures</li></ul>Product Data Improvements<ul><li>Contribute to a large‑scale product data cleanup and restructuring effort</li><li>Identify gaps in current data models and workflows</li><li>Partner with cross‑functional teams to define scalable data standards</li><li>Improve system design to support long‑term growth</li></ul>Channel Syndication<ul><li>Manage product data distribution to digital and retail channels</li><li>Ensure data meets channel‑specific requirements</li><li>Troubleshoot publishing issues and improve success rates</li><li>Support product launches and updates across channels</li></ul>Data Governance & Quality<ul><li>Establish naming conventions, validation rules, and governance standards</li><li>Define and track data quality KPIs (accuracy, completeness, timeliness)</li><li>Utilize or support data governance tools</li><li>Work with business teams to improve data accountability</li></ul>Reporting & Metrics<ul><li>Build dashboards and reports on data quality and system performance</li><li>Provide insights to leadership to support decision‑making</li><li>Track syndication outcomes and operational metrics</li></ul>Operational Support<ul><li>Handle day‑to‑day platform usage, enhancements, and issue resolution</li><li>Prioritize incoming requests and tickets</li><li>Ensure stability and reliability of product data operations</li></ul>
2026-04-21T00:00:00Z

Data Engineer

Cleveland, OH
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you. Responsibilities:• Develop and refine data models to ensure optimal performance and scalability.• Design and implement data warehouse solutions for managing structured and unstructured data.• Create and maintain data integration processes to support analytics and data-driven applications.• Establish robust data quality and validation protocols to guarantee accuracy and consistency.• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.
2026-04-07T00:00:00Z

Data Engineer

Carmel, IN
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Carmel, Indiana. In this long-term contract role, you will design, build, and optimize data pipelines and systems to support business needs. The ideal candidate will bring expertise in data engineering tools and frameworks, along with a passion for solving complex challenges. Responsibilities: • Develop and maintain robust data pipelines using modern frameworks and tools. • Implement ETL processes to ensure accurate and efficient data transformation. • Optimize data storage and retrieval systems for performance and scalability. • Collaborate with cross-functional teams to understand data requirements and deliver solutions. • Utilize Apache Spark and Hadoop for large-scale data processing. • Work with Databricks to streamline data workflows and enhance analytics. • Apply machine learning techniques using tools like scikit-learn and Pandas. • Integrate Kafka for real-time data streaming and processing. • Analyze and troubleshoot data-related issues to ensure system reliability. • Document processes and workflows to support future development and maintenance.
2026-04-15T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing and distribution company is looking for a Data Engineer with 3 + yeasr 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. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practice
2026-04-17T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
Data Engineer – CRM Integration (Hybrid in San Fernando Valley)Location: San Fernando Valley (Hybrid – 3x per week onsite)Compensation: $140K–$170K annual base salaryJob Type: Full Time, PermanentOverview:Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.Responsibilities:<ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul>
2026-04-03T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This contract position offers an exciting opportunity to leverage your expertise in data processing and analytics within the dynamic energy and natural resources industry. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations. Responsibilities: • Develop and maintain scalable data pipelines using Apache Spark, Python, and ETL processes. • Design and implement data storage solutions utilizing Apache Hadoop for efficient data management. • Build real-time data streaming architectures with Apache Kafka to support operational needs. • Optimize data workflows to ensure high performance and reliability across systems. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Perform data quality checks and validation to ensure accuracy and consistency of datasets. • Troubleshoot and resolve technical issues related to data processing and integration. • Document processes and workflows to ensure knowledge sharing and operational transparency. • Monitor and improve system performance, ensuring the infrastructure meets business demands.
2026-04-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This long-term contract position offers an exciting opportunity to work in the manufacturing industry, leveraging your expertise in data processing and engineering. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations. Responsibilities: • Develop and maintain scalable data pipelines using tools such as Apache Spark and Python. • Design efficient ETL processes to extract, transform, and load data from various sources. • Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. • Implement and manage big data solutions using Apache Hadoop and Apache Kafka. • Monitor and optimize the performance of data systems to ensure reliability and scalability. • Ensure data quality and integrity through rigorous testing and validation processes. • Troubleshoot and resolve issues related to data pipelines and infrastructure. • Maintain documentation for data workflows and processes to ensure clarity and consistency. • Stay updated on emerging technologies and best practices in data engineering to continuously improve systems.
2026-04-22T00:00:00Z

Data Engineer

Grandville, MI
remote
Temporary to Hire
40 - 55 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams. Responsibilities: • Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives. • Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses. • Ensure data governance policies are implemented and monitored, including retention and backup protocols. • Collaborate with teams across departments to translate business requirements into technical specifications. • Monitor and optimize the performance of data assets, identifying opportunities for improvement. • Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure. • Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities. • Mentor and support team members by sharing technical expertise and providing guidance. • Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement. • Stay up to date with emerging trends and advancements in data engineering and architecture.
2026-04-22T00:00:00Z

Data Engineer

Charlotte, NC
remote
Permanent / Full Time
0 - 0 USD / Yearly
<ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
2026-04-22T00:00:00Z

Infrastructure & Cloud Engineer

New York, NY
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for a skilled Infrastructure & Cloud Engineer to oversee the design and management of our organization's cloud and IT systems. This role is essential in ensuring the scalability, security, and efficiency of both cloud-based and on-premises environments. The ideal candidate will bring extensive knowledge of Microsoft technologies, including Azure and Microsoft 365, with a focus on supporting a mission-driven organization. Responsibilities: • Design and manage Azure cloud environments to ensure scalability and security. • Administer and optimize Microsoft 365 tools, including Office 365, Intune, Entra ID, and Endpoint Protection. • Plan and execute migrations between on-premises systems and cloud platforms with minimal disruption. • Configure and maintain Windows Server environments while adhering to security best practices. • Implement and enforce device management and endpoint protection policies. • Develop automated workflows using tools such as Power Automate to enhance efficiency. • Collaborate with internal teams to identify technology needs and deliver tailored solutions. • Provide training and support to staff on IT infrastructure and cloud technologies. • Document system configurations and processes to ensure compliance with policies and regulations. • Monitor and improve system performance and reliability across all platforms.
2026-03-19T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-04-22T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 175000 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.🔧 Core Responsibilities<ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
2026-04-03T00:00:00Z

Software Engineering IV

Washington, DC
onsite
Temporary / Contract
44 - 51 USD / Hourly
Role OverviewWe are seeking experienced Mail Engineers to support enterprise‑level messaging and mobile device management services within a highly regulated, government‑facing environment. This role is responsible for the design, configuration, integration, testing, release, maintenance, and operational support of Microsoft O365 and Exchange platforms. The engineer will collaborate closely with service desk, engineering, infrastructure, and customer stakeholders to ensure the reliability, security, and availability of mail and MDM services. Key Responsibilities<ul><li>Design, configure, integrate, test, release, maintain, and support Microsoft O365 Cloud services, including:</li><li>Exchange Online</li><li>Outlook</li><li>OneDrive for Business</li><li>Azure Active Directory</li><li>Microsoft Intune with Apple Business Manager</li><li>Microsoft Security & Compliance tools</li><li>Support Enterprise Messaging and MDM services in a production, regulated environment</li><li>Work collaboratively with Service Desk, Incident Management, Desktop Engineering, Executive Support, Application Hosting, and Infrastructure teams</li><li>Manage incidents and service requests according to urgency, impact, priority, and SLAs, including:</li><li>Assessment and assignment</li><li>Queue monitoring</li><li>Resolution and closure</li><li>Coordinate change and release management activities for mail and MDM services, including:</li><li>Architecture and configuration planning</li><li>Risk and impact analysis</li><li>Scheduling and staffing</li><li>Testing, implementation, and post‑release monitoring</li><li>Troubleshoot outages, performance issues, and defects through root‑cause analysis, applying workarounds and permanent fixes</li><li>Partner with infrastructure teams and third‑party vendors to resolve complex technical issues</li><li>Assess and respond to security incidents and vulnerabilities; implement patches, upgrades, and email‑blocking remediation</li><li>Monitor and report on system performance, access, licensing, and capacity, providing recommendations for improvement</li><li>Maintain technical documentation including:</li><li>System designs and architectures</li><li>Standard operating procedures (SOPs)</li><li>Work instructions and knowledge articles</li><li>Licensing and support agreements</li><li>Deliver daily operational reporting and communicate status, risks, and expectations to stakeholders</li></ul>
2026-04-11T00:00:00Z

Cyber Secruity Engineer

McLean, VA
onsite
Temporary / Contract
45.05 - 50.01 USD / Hourly
About the Opportunity:Our team is seeking a skilled Cyber Security Engineer for a contract position supporting a major client in the Washington, DC area. This is an exciting opportunity to join a team dedicated to safeguarding complex enterprise environments using industry-leading security solutions.Key Responsibilities:<ul><li>Design, implement, and manage security infrastructure utilizing popular cyber security tools such as Splunk, Palo Alto Networks, CrowdStrike, Tenable Nessus, and Cisco Firepower.</li><li>Monitor network and system security, identify vulnerabilities, and respond to threats and incidents in real-time.</li><li>Collaborate cross-functionally to establish and enforce security best practices, policies, and standards.</li><li>Conduct regular vulnerability assessments, penetration tests, and risk analyses.</li><li>Maintain and optimize security event monitoring and incident response workflows.</li></ul>
2026-04-06T00:00:00Z

Microsoft Systems Engineer

Franklin, MA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
Onsite in MA 3x per week, non-negotiable We are looking for a Systems Engineer to join our team in Massachusetts and provide senior-level expertise across Microsoft 365 environments. This position is suited for someone who excels at solving complex technical challenges, guiding enterprise integration efforts, and partnering with cross-functional teams to deliver secure, well-structured outcomes. The role offers the opportunity to influence architecture decisions while remaining deeply involved in hands-on engineering work. Responsibilities:• Direct Microsoft 365 integration efforts related to organizational consolidation, including planning, coordination, and execution across multiple environments.• Develop identity integration approaches using Azure AD and Entra ID, covering synchronization, domain alignment, and access control design.• Oversee the migration and integration of Exchange Online, including mailbox transitions, mail routing, retention configuration, and discovery requirements.• Manage SharePoint Online and OneDrive integration activities, including content structure, permissions alignment, and data movement planning.• Build and use PowerShell-based scripts and automation processes to improve consistency, accuracy, and repeatability throughout migration work.• Collaborate with security, compliance, and legal stakeholders to align access policies, governance standards, retention practices, and eDiscovery needs.• Provide technical direction during cutover windows and deliver support to stabilize services following implementation.• Act as the primary technical advisor for Microsoft 365 architecture, integration strategy, and risk reduction best practices.
2026-04-22T00:00:00Z

Machine Learning Engineer II

Philadelphia, PA
onsite
Temporary / Contract
65 - 72 USD / Hourly
Machine Learning Engineer II (Contract)Location: Hybrid – Philadelphia, PA or Washington, DC | Onsite 3–4 days per weekAssignment Length: 38 Weeks, Potential for ExtensionPosition OverviewWe are seeking a Research / Machine Learning Engineer II to support advanced AI/ML initiatives across large-scale consumer-facing platforms, including Search, Browse, Personalization, Campaign Management, and Voice/NLP technologies. This role is heavily focused on model validation, quality, and automation, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.The ideal candidate brings a strong quality mindset, hands-on experience with machine learning models, and a deep interest in testing and validating large language models (LLMs) and AI systems in production-like environments.Key Responsibilities<ul><li>Design, build, and enhance machine learning models primarily used for validation and quality assurance of AI/ML-driven tools.</li><li>Develop models that assist in testing, validating, and improving automation frameworks used by engineering and tooling teams.</li><li>Enhance and support existing AI/ML automation tools, including those working with speech and NLP data.</li><li>Implement prompt-based interactions with Large Language Models (LLMs) to support validation and test use cases.</li><li>Research, evaluate, and experiment with various ML models across multiple domains to determine best-fit solutions.</li><li>Contribute software development efforts toward proof-of-concept initiatives in AI/ML, NLP, and related strategic areas (e.g., Computer Vision where applicable).</li><li>Collaborate closely with cross-functional engineering, tooling, and SDET teams across multiple locations.</li><li>Support and mentor engineering teams by promoting modern software development, data practices, and quality-driven AI development.</li><li>Ensure AI/ML solutions meet expectations for performance, reliability, scalability, and product quality.</li></ul>
2026-04-14T00:00:00Z

Sr Engineering Technician – Project Controls - US

Midland, TX
onsite
Temporary / Contract
20 - 25 USD / Hourly
We are looking for a highly skilled Sr Engineering Technician – Project Controls to join our team on a long-term contract in Midland, Texas. In this role, you will collaborate with managers, engineers, and construction personnel to support various project control functions, including reporting, cost tracking, and document management. This position offers an exciting opportunity to contribute to critical engineering projects while building strong relationships with team members and stakeholders. Responsibilities: • Assist in preparing and tracking approval documents, including estimates, AFEs, and supplemental documentation. • Collaborate with engineers and construction personnel to ensure accurate cost reporting and forecasting for projects. • Coordinate accrual updates by gathering input from planning, cost control, and engineering teams. • Support schedule updates by integrating feedback from engineers and construction staff. • Help develop and revise Design Basis Memorandums and Project Execution Plans. • Work with supply chain personnel to ensure purchase orders are issued and tracked for project deliveries. • Manage project documentation to ensure accessibility and proper storage of critical construction and close-out information. • Review and input construction daily reports, tracking progress, manhours, and key performance indicators. • Maintain group construction and project workload schedules to ensure efficient task management. • Oversee invoice reviews, update coding, and route invoices for approval.
2026-04-20T00:00:00Z

Machine Learning Engineer II (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
64 - 71.85 USD / Hourly
Job SummaryWe are seeking a Machine Learning Engineer to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions. Key Responsibilities<ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul>
2026-04-16T00:00:00Z

PhySec Engineer

Easley, SC
onsite
Temporary / Contract
38 - 43 USD / Hourly
We are looking for a skilled Physical Security Engineer to join our team on a contract basis in Easley, South Carolina. In this role, you will take charge of the complete installation lifecycle for physical security systems, ensuring seamless execution from start to finish. This position offers the opportunity to apply your expertise in access control programming and server migrations in a dynamic IT consulting environment. Responsibilities: • Oversee the end-to-end installation process for physical security systems, ensuring timely and efficient project completion. • Program and configure access control systems to meet client-specific security requirements. • Manage and execute server migration tasks, ensuring minimal disruption to operations. • Collaborate with team members and stakeholders to assess and address physical security needs. • Troubleshoot and resolve issues related to physical security installations and configurations. • Ensure compliance with security standards and best practices throughout the installation lifecycle. • Maintain accurate documentation of installations, configurations, and system updates. • Provide technical support and guidance to clients as needed during and after installations.
2026-04-13T00:00:00Z

MAC/JAMF Engineer

Downers Grove, IL
remote
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for an experienced macOS expert with extensive knowledge of JAMF and enterprise identity frameworks to join our team on a contract basis. In this role, you will lead efforts to troubleshoot and resolve critical issues in macOS device enrollment, identity management, and migration workflows. This position is based in Downers Grove, Illinois, and offers an opportunity to work on high-impact projects in a fast-paced environment. Responsibilities:• Diagnose and resolve macOS migration failures from Jamf to Intune, ensuring seamless device enrollment.• Address issues related to enrollment notifications and reassignment workflows for macOS devices.• Repair and optimize enrollment profiles, device tokens, and Apple–Intune handshake processes.• Analyze and fix identity enforcement failures on macOS devices integrated with Intune.• Ensure proper synchronization between Entra ID credentials and Okta integration at login.• Develop compliant identity workflows that align with enterprise security standards and policies.• Provide technical expertise and guidance to engineering teams working with Intune, Jamf, and identity platforms.• Collaborate with Microsoft and Apple Enterprise Support to escalate and resolve complex technical challenges.• Create detailed documentation of migration steps, troubleshooting processes, and best practices.• Architect solutions to prevent conflicts between Apple-required local accounts and Zero Trust models.
2026-03-20T00:00:00Z

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