<p><strong>Machine Learning Engineer II </strong>(Contract)</p><p><strong>Location: </strong>Hybrid – Philadelphia, PA <strong>or </strong>Washington, DC | Onsite 3–4 days per week</p><p><strong>Assignment Length:</strong> 38 Weeks, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Research / Machine Learning Engineer II</strong> 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 <strong>model validation, quality, and automation</strong>, with an emphasis on building and enhancing machine learning models that validate and support AI-driven tools developed by engineering teams.</p><p>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.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and enhance <strong>machine learning models primarily used for validation and quality assurance</strong> 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 <strong>speech and NLP data</strong>.</li><li>Implement <strong>prompt-based interactions with Large Language Models (LLMs)</strong> 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 <strong>proof-of-concept initiatives</strong> 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 <strong>performance, reliability, scalability, and product quality</strong>.</li></ul>
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering.<br><br>Responsibilities:<br>• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.<br>• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.<br>• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.<br>• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.<br>• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.<br>• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.<br>• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.<br>• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.<br>• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.<br>• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
<p>Job Summary</p><p>We are seeking a <strong>Machine Learning Engineer</strong> 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.</p><p><br></p><p>Key Responsibilities</p><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><p><br></p>
<p>We are looking for a skilled Automation Engineer to join our dynamic team in Torrington, Connecticut. In this role, you will play a pivotal part in advancing our infrastructure through automation, ensuring seamless operations and enhanced reliability. You will have the opportunity to work on cutting-edge technologies and contribute to modernizing our systems.</p>
<p><strong>Service & Automation Engineer</strong></p><p>This position supports customers with technical service needs related to advanced manufacturing equipment and automated production systems. The role focuses on troubleshooting, upgrade support, and automation software commissioning to ensure equipment performance, uptime, and customer satisfaction.</p><p>You will travel to customer sites and work independently to diagnose and resolve technical issues. Candidates should be self-driven, organized, and comfortable handling service requests both on-site and remotely. Travel may be required on short notice, with service visits typically lasting 1–2 weeks and occasionally longer. When not traveling, you will provide remote support and contribute to continuous improvement of service operations.</p><p><br></p><p>Key Responsibilities</p><p>Customer Support & Service</p><ul><li>Serve as a primary technical contact for customer inquiries and service requests.</li><li>Provide remote troubleshooting support using phone, email, and secure remote access tools.</li><li>Diagnose issues and guide customers through corrective actions.</li><li>Escalate complex problems to specialized engineering teams when needed.</li><li>Perform on-site service work such as troubleshooting, commissioning, maintenance, and repairs when remote resolution is not possible.</li></ul><p>PLC Programming & Troubleshooting</p><ul><li>Modify, test, and debug PLC programs across modern and legacy control platforms (examples include Siemens and Allen-Bradley systems).</li><li>Troubleshoot ladder logic, function blocks, and structured text issues.</li><li>Optimize control logic for performance, safety, and efficiency.</li><li>Perform online/offline edits during commissioning or service activities.</li></ul><p>Drive Configuration & Diagnostics</p><ul><li>Configure and troubleshoot VFDs, servo drives, and motion controllers.</li><li>Set motor parameters, feedback devices, and motion profiles.</li><li>Diagnose drive faults such as overcurrent, encoder errors, or communication issues.</li><li>Integrate drives with PLC systems via industrial networks (e.g., EtherNet/IP, Profinet).</li></ul><p>HMI / SCADA Support</p><ul><li>Create or modify operator interface screens including alarms, trends, recipes, and controls.</li><li>Connect PLC tags to HMI objects and verify communications.</li><li>Adjust user interfaces based on operator feedback.</li><li>Troubleshoot display, scripting, or communication issues.</li></ul><p>Quality & Continuous Improvement</p><ul><li>Confirm resolution of service issues and ensure equipment reliability.</li><li>Provide feedback to engineering teams on recurring problems or improvement opportunities.</li><li>Document service activities and customer interactions in internal systems.</li></ul><p>Collaboration</p><ul><li>Support spare-parts identification and service quotation activities.</li><li>Share technical knowledge with internal teams and participate in project discussions.</li></ul>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team in Atlanta, Georgia. This is a long-term contract position where you will play a pivotal role in advancing AI initiatives across clinical and business operations. The ideal candidate will have a strong technical background, excellent communication skills, and the ability to collaborate across multiple departments to drive innovative solutions in healthcare.<br><br>Responsibilities:<br>• Partner with various departments to identify, design, and implement AI solutions that address clinical, financial, and operational needs.<br>• Evaluate and integrate third-party AI tools and platforms, with a focus on healthcare applications such as NexTech, call center automation, AI-powered scribing, and clinical trial identification.<br>• Develop and support AI applications to enhance patient identification for trials, automate documentation, and improve workflows.<br>• Build and maintain AI-driven dashboards and analytics using tools like Power BI to provide actionable insights for clinical and business teams.<br>• Ensure AI integrations meet scalability, security, and compliance requirements, adhering to healthcare data privacy standards.<br>• Serve as a strategic advisor by proactively identifying opportunities for organizational improvement through AI.<br>• Collaborate with stakeholders across IT and non-IT teams to foster innovation and streamline operations.<br>• Stay updated on industry trends, regulatory standards, and emerging AI technologies relevant to healthcare.<br>• Provide technical leadership and guidance on AI-related projects, ensuring alignment with organizational goals.
We are looking for an Artificial Intelligence (AI) Engineer to join our IT team in Rye, New York. In this role, you will design and implement AI-driven automation systems to enhance operational efficiency, streamline workflows, and support data-driven decision-making across the organization. This position offers an exciting opportunity to apply cutting-edge AI technologies to real-world challenges while fostering innovation within the company.<br><br>Responsibilities:<br>• Develop and deploy AI-powered solutions to automate workflows and increase productivity across various departments.<br>• Design and implement intelligent agents capable of assisting employees and automating decision-making processes.<br>• Research and evaluate emerging AI technologies to identify tools that can improve operational efficiency.<br>• Collaborate with stakeholders to identify opportunities for AI-driven process improvements and automation.<br>• Create detailed documentation of AI solutions, architectures, and workflows for knowledge sharing within the organization.<br>• Participate in pilot programs and proof-of-concept initiatives to experiment with new AI applications.<br>• Optimize and manage data structures and workflows to support AI-driven applications.<br>• Ensure scalability and reliability of deployed AI systems to meet business needs.<br>• Stay updated on advancements in AI and machine learning to continuously improve solutions.
<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to design and implement innovative AI-driven solutions that enhance business operations and decision-making processes. In this contract position, you will play a pivotal part in developing scalable, secure, and cutting-edge systems that integrate AI with automation technologies. This role offers an exciting opportunity to work at the forefront of artificial intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-powered systems that incorporate generative AI, intelligent automation, and agent-based architectures.</p><p>• Build automation ecosystems using advanced machine learning models, large language models, and modern automation platforms.</p><p>• Research and integrate emerging AI technologies, including orchestration frameworks, autonomous agents, and AI security measures.</p><p>• Establish reusable patterns, APIs, and standards to enable scalable AI integrations across the enterprise.</p><p>• Oversee projects from initial experimentation to production deployment, ensuring they meet performance, reliability, and business impact goals.</p><p>• Collaborate with business and technology teams to align AI and automation solutions with organizational priorities.</p><p>• Implement robust governance, security, and ethical AI principles in all solutions to ensure compliance and responsible use.</p><p>• Provide expert guidance and mentorship on AI tools, optimization strategies, and automation best practices to team members.</p><p>• Conduct reviews of AI and automation implementations to ensure long-term sustainability and operational effectiveness.</p><p>• Stay updated on the latest AI trends and methodologies, sharing insights to inspire innovation across the organization.</p>
We are looking for a Data Engineer to strengthen our data and analytics capabilities in West Chester, Pennsylvania. This role will shape reliable data architecture, support enterprise reporting, and help turn complex information into practical business insight. The position is ideal for someone who enjoys building scalable data solutions, improving performance, and working across Microsoft-based data technologies.<br><br>Responsibilities:<br>• Design and support enterprise data solutions that enable dependable analytics, reporting, and operational decision-making.<br>• Build, optimize, and maintain database structures and data processing workflows using SQL Server, Azure SQL Database, and T-SQL.<br>• Develop and enhance SSIS packages and related data pipelines to ensure accurate, timely, and efficient movement of information across systems.<br>• Create scalable datasets and reporting foundations that support Power BI dashboards and broader business intelligence needs.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that increase stability, security, and efficiency.<br>• Partner with business and technical stakeholders to translate reporting and analytics goals into practical data engineering solutions.<br>• Lead efforts to move legacy SQL Server workloads into Azure-based services while maintaining data integrity and minimizing disruption.<br>• Establish standards and best practices for data quality, documentation, and ongoing platform maintenance.
We are looking for a talented Data Engineer to join our team in Glendale, California. In this long-term contract role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and platforms that support critical business operations. Through collaboration with cross-functional teams, you will contribute to innovative data solutions that enhance decision-making processes and drive operational excellence.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to support the Core Data platform.<br>• Create tools and services to enhance data discovery, governance, and privacy.<br>• Collaborate with product managers, architects, and software engineers to ensure the success of data platforms.<br>• Apply technologies such as Airflow, Spark, Databricks, Delta Lake, and Kubernetes to build advanced data solutions.<br>• Establish and document best practices for pipeline configurations, naming conventions, and operational standards.<br>• Monitor and ensure the accuracy, reliability, and efficiency of datasets to meet service level agreements (SLAs).<br>• Participate in agile and scrum ceremonies to improve collaboration and team processes.<br>• Foster relationships with stakeholders to understand their needs and prioritize platform enhancements.<br>• Maintain detailed documentation to support data governance and quality initiatives.
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
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 looking for a Data Engineer to strengthen and expand an established Microsoft Fabric data environment. This Long-term Contract position is ideal for someone who can turn business data into reliable, well-structured assets that support reporting and decision-making. The role requires a hands-on engineer who can shape data architecture, build scalable pipelines, and communicate clearly with both technical teams and business stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Expand and improve an existing Microsoft Fabric platform to support dependable, scalable analytics solutions.</p><p>• Create and maintain a layered data architecture across Bronze, Silver, and Gold tiers, with emphasis on delivering trusted and business-ready curated datasets.</p><p>• Build ingestion and transformation processes for Salesforce data along with information from additional enterprise sources.</p><p>• Develop data models that improve accuracy, usability, and reporting value by evaluating structure, relationships, and downstream needs.</p><p>• Support the shift away from older warehouse and spreadsheet-driven reporting practices by introducing more modern data engineering approaches.</p><p>• Work autonomously to manage priorities while providing regular updates on progress, technical decisions, and potential risks.</p><p>• Collaborate with business partners to understand reporting goals and translate them into practical data solutions.</p><p>• Contribute to data processing and integration workflows using technologies such as Python, Spark, ETL frameworks, and related platform tools.</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>
<p>We are currently seeking a Data Engineer for a contract opportunity supporting a growing data and analytics organization. This role is focused on building and maintaining modern cloud-based data infrastructure, including scalable ELT pipelines, Snowflake data solutions, and automated data workflows.</p><p>This is a hands-on engineering role where you will design, develop, and support end-to-end data systems that enable reliable reporting, analytics, and business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable ELT/ETL data pipelines and workflows</li><li>Develop and optimize Snowflake-based data warehouse solutions</li><li>Build and maintain data models and transformation logic to support analytics and reporting</li><li>Write efficient and high-quality Python and SQL code to support data engineering processes</li><li>Develop reusable data engineering frameworks and backend data services</li><li>Implement and maintain CI/CD pipelines using GitHub and related tooling</li><li>Build automated testing frameworks to ensure data quality and reliability</li><li>Create reporting and visualization solutions using tools such as Power BI</li><li>Monitor production data systems and resolve performance or reliability issues</li><li>Support continuous improvement of data architecture, processes, and standards</li></ul>
We are looking for an experienced Data Engineer to join our team in Newtown Square, Pennsylvania. In this long-term contract position, you will play a pivotal role in designing and implementing robust data solutions to support organizational goals. This is an exciting opportunity to lead the development of modern data architectures and collaborate with diverse teams to drive impactful results.<br><br>Responsibilities:<br>• Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance.<br>• Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform.<br>• Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes.<br>• Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making.<br>• Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization.<br>• Ensure data quality and reliability, providing business users with a trustworthy platform.<br>• Document architectural designs, data workflows, and operational procedures to support sustainable data management.<br>• Coordinate with external vendors to meet project deadlines and ensure successful implementations.
We are looking for a skilled Data Engineer to join our team in Wayne, Pennsylvania, on a contract to permanent basis. This role offers an exciting opportunity to design, implement, and optimize data pipelines while integrating applications with various digital marketplaces. The ideal candidate will bring strong technical expertise and a collaborative mindset to support business insights and analytics effectively.<br><br>Responsibilities:<br>• Develop and maintain data pipelines and ensure seamless application connectivity with digital marketplaces such as TikTok Shop, Shopify, and Amazon.<br>• Collaborate closely with business teams to understand requirements and provide actionable analytics.<br>• Lead the creation of scalable and efficient data solutions tailored to business needs.<br>• Apply expertise in Python, Snowflake, and other relevant technologies to deliver high-quality results.<br>• Facilitate and support integrations with e-commerce platforms, leveraging previous experience where applicable.<br>• Build robust APIs and ensure their effective implementation.<br>• Utilize Microsoft SQL for database management and optimization.<br>• Provide technical guidance and mentorship to ensure project success.<br>• Troubleshoot and resolve issues related to data workflows and integrations.<br>• Continuously evaluate and improve processes to enhance efficiency and performance.
<p>Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders. </p>
We are looking for a skilled Data Engineer to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in designing, developing, and optimizing data solutions while collaborating with cross-functional teams to deliver impactful results. This role offers an excellent opportunity to contribute to innovative projects and mentor other developers.<br><br>Responsibilities:<br>• Design and implement scalable data solutions using tools such as Apache Spark, Hadoop, and Kafka.<br>• Build and maintain efficient ETL processes to ensure seamless data transformation and integration.<br>• Collaborate with product owners, business analysts, and stakeholders to gather requirements and translate them into technical solutions.<br>• Optimize and troubleshoot complex data workflows to enhance performance and reliability.<br>• Lead technical discussions and provide architectural guidance for best practices and development standards.<br>• Mentor entry level developers and conduct code reviews to ensure high-quality deliverables.<br>• Integrate data solutions with existing systems and third-party tools using APIs and cloud platforms.<br>• Stay updated with the latest data engineering technologies and proactively recommend improvements.<br>• Work within Agile/Scrum teams to deliver solutions aligned with user stories and project goals.<br>• Ensure compliance with security and quality standards through thorough documentation and testing.
<p>Robert Half is seeking a Data Engineer to build, scale, and lead high‑impact data solutions. This role combines hands‑on data engineering with team leadership, mentoring, and oversight of end‑to‑end analytics pipelines that turn raw data into actionable business insights.</p><p>This role will be Business facing, working with departments across the organization to address data solutions.</p><p>This role is Onsite in Albuquerque, New Mexico</p><p><br></p><p>What You’ll Do</p><p>Lead and mentor a team of data engineers and analysts; set standards, review work, and support professional growth</p><p>Design, build, and oversee scalable ETL pipelines using Python, SQL, SSIS, and Airflow</p><p>Develop dimensional data models using Kimball methodology</p><p>Create dashboards and reports using Power BI and SSRS</p><p>Partner with business and IT stakeholders on analytics, ad hoc reporting, and data initiatives</p><p>Ensure data quality, governance, and compliance with PCI, PII, and regulatory standards</p><p>Automate workflows and reporting using Python, PowerShell, and modern analytics tools</p><p>Other duties as needed</p><p><br></p>
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.<br><br>Responsibilities:<br>• Develop, optimize, and maintain scalable data pipelines to process large datasets efficiently.<br>• Implement ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Leverage Apache Spark, Hadoop, and Kafka to design solutions for real-time and batch data processing.<br>• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and performance.<br>• Document data workflows and processes to ensure clarity and maintainability.<br>• Conduct testing and validation of data systems to ensure accuracy and quality.<br>• Apply Python programming to automate data tasks and streamline workflows.<br>• Stay updated on industry trends and emerging technologies to propose innovative solutions.<br>• Ensure compliance with data security and privacy standards in all engineering efforts.
<p>Robert Half Technology is seeking a <strong>mid-to-senior level Data Engineer</strong> to support the modernization of an existing data environment for a client in Bellevue, Washington. This role will focus on <strong>rearchitecting data pipelines into Databricks</strong>, improving performance, and establishing scalable data architecture and governance. This is a hands-on role in a <strong>fast-paced, less structured environment</strong>, ideal for someone who takes ownership and can operate with autonomy.</p><p> </p><p><strong>Duration:</strong> Long-term contract with potential for extension or conversion</p><p><strong>Location:</strong> Bellevue, Washington (3-days onsite working hybrid)</p><p><strong>Schedule:</strong> Monday-Friday (9AM-5PM PST)</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Rebuild and optimize existing <strong>Python-based ETL pipelines</strong> within Databricks </li><li>Design and implement scalable <strong>data ingestion and transformation processes</strong> </li><li>Architect and maintain <strong>data marts and data warehouse structures</strong> </li><li>Implement <strong>Medallion Architecture (Bronze, Silver, Gold layers)</strong> </li><li>Improve performance of data processing workflows (reduce runtimes, optimize queries) </li><li>Support migration and consolidation of data into Databricks </li><li>Document <strong>data pipelines, tables, and architecture</strong> for governance and maintainability </li><li>Define best practices for <strong>data storage, organization, and access</strong> </li><li>Ensure alignment with existing compliance and data standards </li></ul><p><br></p>
<p><strong>Mid-Level Data Engineer (On-Site | Los Angeles, CA)</strong></p><p><em>Build systems that actually drive business decisions.</em></p><p><br></p><p>This is not a “maintain the pipeline and go home” kind of role.</p><p><br></p><p>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.</p><p><br></p><p>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.</p><p><br></p><p>What You’ll Do</p><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><p>Why This Role Stands Out</p><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>