We are looking for an experienced Data and Analytics Manager to lead master data management initiatives within our organization. This role involves developing and implementing data governance policies and procedures to ensure accuracy, consistency, and reliability across all systems. As a long-term contract position based in Dallas, Texas, this opportunity offers the chance to collaborate with cross-functional teams and lead efforts to optimize data processes.<br><br>Responsibilities:<br>• Develop and oversee master data governance standards to ensure data accuracy, consistency, and reliability.<br>• Collaborate with stakeholders across departments to communicate business processes and data requirements.<br>• Approve and process requests for creating or modifying master data while auditing completed mappings for quality assurance.<br>• Lead a team of mapping specialists, allocating resources effectively and ensuring adherence to timelines and priorities.<br>• Create and maintain documentation to support team training and mapping verification processes.<br>• Monitor and audit team performance to ensure consistent quality and address knowledge gaps.<br>• Coordinate updates and progress reports for organizational collaboration meetings, ensuring alignment with business goals.<br>• Proactively communicate with stakeholders, providing regular updates on team efforts, challenges, and achievements.<br>• Review and analyze source data processes to ensure a thorough understanding of data mapping requirements.<br>• Track changes to IT architecture and processes to assess impacts on data usage and quality.
<p>We are seeking a Data and Analytics Manager to lead our data strategy, platforms, and analytics delivery. This role will begin hands‑on and technical for the first few months, transitioning into a managerial leadership role as the team grows. The position will eventually oversee three direct reports, with potential for additional growth.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the firm’s data and analytics strategy, ensuring strong data integrity, availability, security, and governance.</li><li>Manage day‑to‑day operations of the Data & Analytics team, including workload prioritization, coaching, and performance management.</li><li>Oversee development and maintenance of data pipelines, data models, reporting environments, and analytics platforms.</li><li>Ensure dashboards, reports, and self‑service tools are accurate, performant, and aligned with business needs.</li><li>Collaborate with business leaders to translate requirements into data, reporting, and analytics solutions.</li><li>Define and enforce data quality, governance standards, and documentation practices.</li><li>Partner with IT and Security to maintain compliance with privacy and regulatory requirements.</li><li>Evaluate and implement new tools, technologies, and enhancements to improve analytics capabilities.</li><li>Support executive reporting through ad hoc analysis and strategic insights.</li><li>Manage vendor and consultant relationships as needed.</li></ul><p><br></p><p><br></p>
<p>We are looking for a skilled Power BI Data Visualization Specialist to join our team in Stamford, Connecticut. In this role, you will leverage your expertise in data visualization and storytelling to transform complex datasets into actionable business insights. Your contributions will support decision-making processes and enhance operational efficiency through well-designed dashboards and reports.</p><p><br></p><p>Responsibilities:</p><p>• Create dynamic dashboards and visualizations using Power BI to effectively communicate data insights.</p><p>• Interpret and analyze complex datasets to generate meaningful business recommendations.</p><p>• Ensure data accuracy and integrity by meticulously validating and reconciling information.</p><p>• Collaborate with stakeholders to understand their data needs and deliver tailored solutions.</p><p>• Design intuitive and user-friendly dashboards that align with visualization best practices.</p><p>• Utilize relational data sources to identify and explore data relationships.</p><p>• Develop Power BI reports that are embedded within applications when required.</p><p>• Apply knowledge of structured datasets to extract insights from operational systems.</p><p>• Partner with teams to support data-driven operations in areas such as finance, manufacturing, and supply chain.</p>
We are looking for a Data Visualization Specialist to join our team in Cincinnati, Ohio. In this role, you will leverage your expertise in business systems analysis to transform complex data into actionable insights through effective visualization techniques. The ideal candidate will have a passion for understanding business processes and applying technical skills to create impactful data solutions.<br><br>Responsibilities:<br>• Collaborate with stakeholders to analyze business processes and identify data visualization needs.<br>• Design and develop interactive dashboards and reports using tools such as Power BI, Tableau, and Qlik.<br>• Apply best practices in data visualization to ensure clear and accurate representation of data.<br>• Utilize data modeling techniques to enhance reporting capabilities and support business decision-making.<br>• Perform data analysis to identify opportunities for enrichment and aggregation, utilizing tools like Excel.<br>• Work with on-premises or cloud-based data platforms to ensure seamless integration and accessibility of data.<br>• Provide technical expertise and guidance on visualization tools and techniques to team members and clients.<br>• Stay updated on industry trends and advancements in data visualization technologies.
<p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Philadelphia, PA (Hybrid/Onsite as required)</p><p><strong>Employment Type: </strong>39 Week Contract, Potential for Extension</p><p><strong>Project Focus:</strong> Salesforce → Databricks Data Migration</p><p><strong>About the Role</strong></p><p>We are seeking a <strong>Senior Data Engineer</strong> to support a major Salesforce data migration initiative. This role is centered around building, optimizing, and maintaining high‑quality data pipelines that feed into Databricks, with a strong emphasis on Spark/PySpark and Python-based ETL development. The engineer will work closely with a senior team member, participate in Agile ceremonies, and contribute to the development of a core CRM data platform.</p><p><strong>Key Responsibilities</strong></p><p><strong>Data Engineering & Development</strong></p><ul><li>Develop ETL jobs and data pipelines that migrate and integrate data between Salesforce, AWS, and Databricks.</li><li>Build, test, and maintain scalable data pipelines on AWS + Databricks environments.</li><li>Use Python as a primary language for data engineering tasks and ETL job creation.</li><li>Utilize Spark and PySpark for all high‑volume processing and transformation work (<strong>must‑have</strong>).</li><li>Support integration and pipeline development, including Mulesoft-related components.</li><li>Conduct documentation, testing, QA, and post‑delivery support for all data engineering outputs.</li><li>Identify and mitigate risks, including eliminating single points of failure (SPOFs).</li></ul><p><strong>Infrastructure & DevOps Collaboration</strong></p><ul><li>Use Terraform for infrastructure provisioning and environment management.</li><li>Set up and manage CI/CD pipelines using Concourse or GitHub Actions to ensure consistent and reliable deployments.</li><li>Troubleshoot pipeline issues, resolve defects efficiently, and maintain reliable operations.</li></ul><p><strong>Cross-Team Collaboration</strong></p><ul><li>Partner with engineering, architecture, and technical product teams to translate requirements into scalable data solutions.</li><li>Contribute to best practices, knowledge-sharing, and continuous improvement across the engineering organization.</li><li>Participate in weekly Scrum ceremonies and collaborate in an Agile environment.</li></ul>
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply.<br><br>Responsibilities:<br>• Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets.<br>• Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs.<br>• Utilize Python for advanced data processing, automation, and analytical tasks.<br>• Integrate and manage data from multiple sources, ensuring accuracy and consistency.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.<br>• Design and generate reports using SSRS to present findings to internal teams and leadership.<br>• Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems.<br>• Troubleshoot and resolve issues related to data quality, integration, and system performance.<br>• Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
We are looking for a skilled HR Data Analyst to join our team in Chicago, Illinois. This long-term contract position offers an opportunity to play a key role in managing and analyzing human resources information systems (HRIS). The ideal candidate will bring expertise in HRIS implementation and analysis, ensuring data accuracy and supporting efficient HR operations.<br><br>Responsibilities:<br>• Manage and maintain HRIS platforms to ensure data integrity and system functionality.<br>• Analyze HR data to provide actionable insights that support decision-making and strategic planning.<br>• Lead or support the implementation of new HRIS systems, ensuring smooth integration and alignment with organizational needs.<br>• Collaborate with HR and IT teams to troubleshoot and resolve system issues.<br>• Develop and generate reports from HRIS systems to meet organizational requirements.<br>• Provide training and support to HR staff on effective system usage and best practices.<br>• Ensure compliance with data privacy and security regulations within HRIS operations.<br>• Monitor system performance and recommend upgrades or enhancements to improve efficiency.<br>• Document processes and create user guides for HRIS-related tasks and workflows.
We are looking for a meticulous and detail-oriented Master Data Management Specialist I to join our team in Milwaukee, Wisconsin. In this long-term contract role, you will play a pivotal part in ensuring the accuracy, security, and compliance of master data processes while delivering high-quality service to both internal and external stakeholders. This position focuses on maintaining data integrity, fostering collaboration, and driving process improvements within the energy and natural resources industry.<br><br>Responsibilities:<br>• Maintain and update Supplier, Customer, and Material Master records in adherence to company and regulatory standards.<br>• Monitor workflow and ticketing system queues to ensure timely resolution of tasks.<br>• Report suspected evidence of fraud by following established protocols and procedures.<br>• Provide exceptional customer service to internal and external clients, ensuring a high-quality and attentive experience.<br>• Foster collaborative relationships with field operations teams and suppliers to streamline communication.<br>• Promote continuous process improvement initiatives to enhance data management efficiency.<br>• Uphold the confidentiality and security of financial data and processes at all times.<br>• Encourage a team-oriented and positive work environment aligned with organizational culture.<br>• Support various ad hoc financial tasks as required to meet operational needs.<br>• Execute duties with a commitment to quality and excellence, ensuring compliance with regulatory guidelines.
<p><strong>Overview</strong></p><p>We are seeking a Senior Data Engineer to support a major Salesforce Phase 2 data migration initiative. This role will focus heavily on building and optimizing data pipelines, developing ETL workflows, and moving CRM data from Salesforce into Databricks.</p><p>The engineer will work closely with a senior team member, contribute to Scrum ceremonies, and play a key role in developing the core CRM data environment used by the advertising organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Data Engineering & Migration</strong></p><ul><li>Develop ETL jobs that move and transform Salesforce data into Databricks.</li><li>Build, test, and maintain high‑volume data pipelines across AWS + Databricks.</li><li>Perform data migration, data integration, and pipeline development (including Mulesoft-related work).</li><li>Ensure all pipelines are reliable, scalable, and optimized for production.</li></ul><p><strong>Development & Infrastructure</strong></p><ul><li>Use Python and PySpark to build ETL components and transformation logic.</li><li>Leverage Spark/PySpark for distributed processing at scale (must‑have).</li><li>Use Terraform to provision and manage cloud infrastructure.</li><li>Set up CI/CD pipelines using Concourse or GitHub Actions for automated deployments.</li></ul><p><strong>Quality, Documentation & Support</strong></p><ul><li>Document ETL processes, pipelines, and data flows.</li><li>Participate in testing, QA, and validation of migrated datasets.</li><li>Provide post‑delivery support and proactively mitigate project risks or single points of failure (SPOF).</li><li>Troubleshoot production issues and implement long‑term fixes to maintain pipeline stability.</li></ul><p><strong>Collaboration</strong></p><ul><li>Work closely with engineering teammates to translate business requirements into working pipelines.</li><li>Participate in weekly Scrum ceremonies.</li><li>Contribute to shared best practices and continuous improvement across the data engineering team.</li></ul><p><br></p>
<p><strong>For immediate response please message Valerie Nielsen on LinkedIn or email!</strong></p><p><br></p><p><strong>Job Title:</strong> Senior Data Engineer</p><p> <strong>Location:</strong> Hybrid – Westwood (Los Angeles, CA) near University of California, Los Angeles</p><p> <strong>Compensation:</strong> $175,000 – $185,000 base salary + 10% annual bonus</p><p> <strong>Employment Type:</strong> Full-Time</p><p><br></p><p>Overview</p><p>We are seeking a <strong>Senior Data Engineer</strong> to join a growing data team in <strong>Westwood, CA</strong>. This role will focus on designing and building scalable data pipelines, supporting analytics and reporting initiatives, and improving data infrastructure across the organization.</p><p>The ideal candidate is highly experienced with <strong>Snowflake, dbt, Python</strong>, and modern data pipeline architecture, and enjoys working closely with analytics and business teams to deliver reliable, high-quality data. Experience integrating data from CRM platforms such as <strong>Salesforce</strong> is a strong plus.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>scalable data pipelines</strong> supporting analytics, reporting, and operational data needs</li><li>Build and optimize data models and transformations using <strong>dbt</strong> within a <strong>Snowflake</strong> data warehouse environment</li><li>Develop robust ETL/ELT workflows using <strong>Python</strong> and modern data engineering best practices</li><li>Collaborate with analytics teams to deliver clean, reliable datasets used in <strong>Power BI</strong> dashboards and reporting</li><li>Ensure data quality, reliability, and performance across the data platform</li><li>Optimize Snowflake warehouse performance and manage cost-efficient data storage and compute usage</li><li>Integrate data from internal and external systems, including CRM and SaaS platforms</li><li>Partner with stakeholders across engineering, product, and business teams to define data requirements and solutions</li><li>Maintain documentation and promote data engineering standards and best practices</li></ul><p><br></p><p><br></p>
<p>We are seeking a Senior Data Engineer – Ingest to help transform data into meaningful insights and power innovation across the organization. In this role, you will work with a collaborative team of technologists to build scalable data solutions, integrate diverse data sources, and strengthen the core data platform. Your engineering expertise will directly support analytics, data science, operations, and key business stakeholders.</p><p>If you’re passionate about building high‑quality data systems that make a measurable impact, this role offers the opportunity to shape the future of a large, data‑driven organization.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Maintain, update, and expand configuration‑driven data pipelines within the core data platform.</li><li>Build tools and services supporting data discovery, lineage, governance, and privacy.</li><li>Partner with software engineers, data engineers, architects, and product managers to deliver reliable and scalable data solutions.</li><li>Help define and document data standards, naming conventions, pipeline best practices, and system guidelines.</li><li>Ensure the reliability, accuracy, and operational efficiency of datasets to meet SLAs.</li><li>Participate in Agile/Scrum ceremonies and contribute to ongoing process improvements.</li><li>Collaborate closely with users and stakeholders to understand needs and prioritize enhancements.</li><li>Maintain detailed technical documentation to support data quality, governance, and compliance requirements.</li></ul><p><br></p>
We are looking for a highly skilled Senior Data Engineer to join our team in Edgewood, New York. This role is ideal for someone who is detail oriented and has expertise in developing scalable data pipelines, modeling data structures, and optimizing data infrastructure for performance and reliability. The right candidate will play a key role in shaping our data engineering function and collaborating with cross-functional teams to deliver impactful solutions.<br><br>Responsibilities:<br>• Design and maintain efficient and scalable data pipelines to support various operational and commercial systems.<br>• Develop and manage modern data warehouse infrastructure using tools such as BigQuery and dbt.<br>• Integrate, transform, and organize data from multiple sources into structured, queryable formats.<br>• Create and manage logical and physical data models to enhance analytics and reporting capabilities.<br>• Collaborate with stakeholders to enable self-service reporting and build dashboards using platforms like Looker and Looker Studio.<br>• Implement best practices for data engineering, including testing, monitoring, and ensuring pipeline reliability.<br>• Optimize the performance, scalability, and cost-efficiency of data pipelines and warehouses.<br>• Partner with engineering, operations, and business teams to translate data needs into scalable solutions.<br>• Contribute to the improvement of engineering processes, coding standards, and documentation.<br>• Mentor team members and support onboarding as the team grows.
We are looking for an experienced Senior Data Engineer to join our team in Woodbury, Minnesota. In this role, you will play a key part in designing and optimizing data systems, ensuring scalability and reliability for business-critical operations. The ideal candidate will have a strong background in data engineering and a passion for leveraging technology to drive impactful solutions.<br><br>Responsibilities:<br>• Redesign and optimize complex business logic embedded in Postgres functions to improve functionality.<br>• Develop scalable database schemas and create data models that are optimized for analytics and AI applications.<br>• Implement database partitioning, indexing, and performance tuning to ensure data growth is supported efficiently.<br>• Build and maintain production-grade data pipelines from data ingestion to end-user consumption.<br>• Establish robust processes for data quality assurance, monitoring, and operational reliability within pipelines.<br>• Troubleshoot and resolve data-related and performance issues directly in production environments.<br>• Collaborate with cross-functional teams to ensure seamless integration of data systems into business processes.
<p>We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. </p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.</p><p>• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.</p><p>• Oversee and manage external consultants assisting with the development of the data platform.</p><p>• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.</p><p>• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.</p><p>• Optimize database performance across SQL, NoSQL, and other database systems.</p><p>• Utilize Python for data engineering tasks, including scripting and automation.</p><p>• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.</p><p>• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.</p><p>• Ensure compliance with industry standards and best practices in data security and management.</p>
<p>We are seeking a highly experienced Senior Data Engineer professional to lead the design, development, and operationalization of advanced data and AI/ML solutions. This role requires a strong technical foundation in cloud platforms, modern data engineering frameworks, ML system deployment, and semantic data modeling. The ideal candidate combines deep technical expertise with strong leadership and communication skills to guide teams and drive strategic initiatives across the organization.</p><p><br></p><p><strong>Technical Leadership</strong></p><ul><li>Lead the end-to-end design, development, deployment, and maintenance of large-scale data engineering and machine learning pipelines.</li><li>Architect and operationalize AI/ML systems in production environments, ensuring high reliability, performance, and observability.</li><li>Leverage cloud platforms (GCP or AWS) to build scalable, secure, and cost‑efficient data and ML infrastructure.</li><li>Utilize streaming and real-time processing technologies such as Apache Kafka and Apache Flink to support event-driven architectures and advanced analytics use cases.</li><li>Develop robust data transformations and semantic models using tools such as dbt.</li><li>Implement and maintain Infrastructure as Code using Terraform or similar frameworks.</li><li>Ensure cloud architectures follow best practices for security, compliance, and governance.</li></ul><p><strong>Team & Cross-Functional Leadership</strong></p><ul><li>Provide technical leadership, mentorship, and guidance to data engineers, ML engineers, and other stakeholders.</li><li>Collaborate closely with Data Science, DevOps, Security, and Product teams to ensure cohesive delivery of data and ML initiatives.</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences, supporting informed decision‑making.</li></ul><p><strong>Operational Excellence</strong></p><ul><li>Maintain production AI/ML systems with focus on reliability, monitoring, versioning, and lifecycle management.</li><li>Establish and uphold engineering best practices, coding standards, CI/CD frameworks, and documentation.</li><li>Continuously evaluate emerging technologies, frameworks, and methodologies to strengthen the organization’s data and ML capabilities.</li></ul><p><br></p>
<p>We are seeking a Quantitative Researcher to join a high-performing systematic equities team focused on execution research, market microstructure modeling, and the development of predictive tools that directly impact trading performance. This role is ideal for someone who enjoys working at the intersection of data science, engineering, and automated trading, and who wants to contribute to the evolution of a sophisticated global trading platform.</p><p>In this position, you will work closely with researchers, traders, and engineers to enhance models used in portfolio optimization, execution strategy, and cost forecasting. This is a highly collaborative environment where practical problem-solving, technical rigor, and creativity are valued. This role is hybrid in Boston, MA onsite 3-4 days a week.</p><p><br></p><p><strong>Responsibilities</strong></p><p>• Build, maintain, and enhance quantitative models for forecasting trading costs, slippage, and market impact</p><p>• Monitor and actively improve execution quality across large-scale global equity portfolios</p><p>• Conduct research on market microstructure dynamics using high-resolution datasets (tick data, order book data, etc.)</p><p>• Develop and backtest short-horizon predictive signals that support execution and alpha-related initiatives</p><p>• Design analytical tools and simulations used for portfolio optimization, strategy evaluation, and execution measurement</p><p>• Collaborate with engineering teams to deploy research into production within fully automated trading systems</p><p><br></p><p><strong>What This Role Offers</strong></p><p>• High-impact opportunity where research directly influences trading performance</p><p>• Exposure to both execution research and alpha-adjacent modeling</p><p>• Collaborative, engineering-driven environment with significant autonomy</p><p>• Ability to work with cutting-edge data, tools, and fully automated trading infrastructure</p><p>• Clear growth pathway within a rapidly scaling quantitative team</p>
We are looking for a skilled Data Analyst to join our team in Modesto, California, within the healthcare industry. This Contract to permanent position offers an exciting opportunity to analyze data from various sources, ensure compliance with regulations, and contribute to the improvement of organizational outcomes. Ideal candidates will possess strong analytical abilities and a passion for transforming data into actionable insights.<br><br>Responsibilities:<br>• Interpret and apply federal, state, and local laws, regulations, and policies to ensure compliance and recommend changes based on performance metrics.<br>• Research and analyze program data and business processes, collaborating with IT teams to develop automated solutions.<br>• Provide training and technical assistance to staff on data usage, reporting, and dashboards to enhance outcomes.<br>• Compile and analyze data from sources such as Electronic Health Records, databases, and spreadsheets to produce insightful reports and identify trends.<br>• Conduct surveys, statistical analyses, and research on services and program performance, presenting findings effectively.<br>• Utilize auditing and monitoring procedures to ensure compliance with regulations and track findings from external audits.<br>• Identify training needs based on audit trends and ensure follow-up actions are completed and reported appropriately.<br>• Investigate and report suspected instances of fraud, waste, abuse, and privacy breaches to governing bodies.<br>• Perform data quality checks, eliminate errors, and draft reports for stakeholders that explain findings in detail.<br>• Manage multiple deadlines by scheduling meetings, recording minutes, and following up on action items.
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This role is based in West Des Moines, Iowa, and offers the opportunity to work on advanced data solutions that support organizational decision-making and efficiency. The ideal candidate will have expertise in relational databases, data cleansing, and modern data warehousing technologies.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines to support business operations and analytics.<br>• Perform data extraction, transformation, and cleansing to ensure accuracy and reliability.<br>• Collaborate with teams to design and implement data warehouses and data lakes.<br>• Utilize Microsoft SQL Server to build and manage relational database structures.<br>• Analyze data sources and provide recommendations for improving data quality and accessibility.<br>• Create and maintain documentation for data processes, pipelines, and system architecture.<br>• Implement best practices for data storage and retrieval to maximize efficiency.<br>• Troubleshoot and resolve issues related to data processing and integration.<br>• Stay updated on industry trends and emerging technologies to enhance data engineering solutions.
We are looking for a skilled Technical Business Analyst with expertise in data analysis to join our team in White Plains, New York. In this role, you will bridge the gap between business needs and technical solutions, ensuring data processes align with organizational goals. If you have a strong analytical background and experience working with data platforms and visualization tools, we encourage you to apply.<br><br>Responsibilities:<br>• Analyze and interpret complex datasets to identify trends and deliver actionable insights.<br>• Collaborate with stakeholders to gather and translate business requirements into technical solutions.<br>• Design and implement data pipelines using tools such as Python or Java to automate workflows.<br>• Optimize database performance and manage data warehousing using platforms like Microsoft SQL Server.<br>• Utilize cloud services, such as AWS or Azure, to support scalable data solutions.<br>• Develop and maintain ETL processes for efficient data extraction, transformation, and loading.<br>• Create dynamic dashboards and visualizations using tools like Tableau or Power BI.<br>• Ensure data integrity and accuracy through rigorous testing and validation.<br>• Provide technical support and training to non-technical team members.<br>• Document processes and workflows to ensure clarity and continuity.
We are looking for an experienced Cloud Developer to join our team in Herndon, Virginia. This is a Contract position where you will take on a leadership role in designing, implementing, and optimizing cloud-based solutions and DevSecOps practices. The ideal candidate will have a strong background in cloud technologies, CI/CD pipeline development, and infrastructure automation, with a focus on security and scalability.<br><br>Responsibilities:<br>• Lead the design and implementation of CI/CD pipelines using tools such as GitLab, GitHub, and Jenkins, ensuring integration of security and quality checks.<br>• Develop and maintain reusable infrastructure automation solutions using tools like Terraform and AWS CloudFormation.<br>• Oversee container orchestration efforts using Kubernetes and manage cloud-native services on AWS GovCloud.<br>• Establish and promote enterprise-level DevSecOps reference architectures and reusable pipeline templates.<br>• Integrate security controls, automated testing, and quality gates into all stages of the software development lifecycle.<br>• Guide platform engineering teams in creating sustainable, automated solutions for deployment and environment configurations.<br>• Ensure compliance with Zero Trust architecture principles, including identity, network, and data protection.<br>• Collaborate with cross-functional teams to implement cloud-based solutions that align with organizational goals.<br>• Provide technical leadership and mentorship to DevSecOps squads, fostering a culture of innovation and efficiency.<br>• Drive the adoption of state-of-the-art tools and methodologies to enhance system performance and security.
We are looking for a skilled Cloud Developer to join our team in Sacramento, California. The ideal candidate will play a critical role in managing cloud infrastructure, enhancing automation processes, and ensuring the security and compliance of our systems. This position offers an opportunity to work collaboratively across departments, driving innovation and optimizing business operations.<br><br>Responsibilities:<br>• Manage Azure resources such as networks, storage, and services to ensure optimal performance and scalability.<br>• Administer Microsoft 365 platforms including Exchange, SharePoint, Teams, and OneDrive.<br>• Configure and maintain Azure Active Directory, focusing on roles, conditional access, and governance.<br>• Implement and oversee Intune for device compliance, deployment, and management.<br>• Develop automation solutions for provisioning, user management, and routine IT workflows.<br>• Create scripts and Power Automate flows to streamline operations and enhance accuracy in financial and business processes.<br>• Apply security policies to devices and systems, ensuring compliance with best practices and conducting periodic audits.<br>• Collaborate with business units to deliver secure integrations and automate data workflows.<br>• Evaluate and implement emerging technologies to improve efficiency, scalability, and innovation across business systems.<br>• Serve as a key resource for troubleshooting complex issues and maintaining system documentation for operational continuity.
<p>Are you detail-oriented, organized, and ready to make an impact in the workplace? Robert Half has frequent and ongoing needs from our clients in the local area for Data Entry Clerks who excel at working accurately and efficiently in dynamic environments. In this role, you'll play a vital part in ensuring smooth operations by entering and managing essential company data with precision and care. Join us and connect with reputable organizations that value your skills and offer opportunities for growth and success.</p>
<p>We are looking for an experienced Data Privacy Consultant to support and advise our client. In this role, you will play a critical part in ensuring compliance with privacy regulations while supporting the development of a new, data-driven product line. This is a long-term contract position offering an opportunity to make a significant impact in the service industry.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with the product team to implement privacy-by-design principles throughout the development lifecycle.</p><p>• Assess and ensure compliance with applicable privacy regulations and requirements.</p><p>• Serve as a trusted advisor for privacy-related matters, providing expertise and guidance to internal stakeholders.</p><p>• Conduct thorough analyses of client data to identify potential privacy risks and recommend actionable solutions.</p><p>• Develop and maintain privacy policies, procedures, and documentation to support organizational compliance.</p><p>• Monitor emerging privacy trends and regulations to proactively address potential impacts on the organization.</p><p>• Offer insights and recommendations to enhance data protection strategies and safeguard sensitive information.</p>
<p>We are looking for a skilled Business Intelligence Analyst to join our client's team on a short-term contract basis. In this role, you will leverage your expertise in data analysis, reporting, and dashboard creation to support executive-level decision-making and optimize IT operations. This position offers the flexibility of working remotely, making it ideal for professionals who thrive in independent environments.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and interpret complex datasets to extract actionable insights for business operations.</p><p>• Design and develop dynamic reports and dashboards tailored for executive audiences.</p><p>• Collaborate with stakeholders to gather requirements and align analytics solutions with business needs.</p><p>• Utilize Power BI and Tableau to create visually compelling and user-friendly dashboards.</p><p>• Perform integrations between organizational tools and Power BI, ensuring seamless data flow.</p><p>• Support IT operations reporting and network operations reporting through detailed analyses.</p><p>• Apply advanced data modeling techniques to structure and organize information effectively.</p><p>• Develop APIs to facilitate data sharing and enhance reporting capabilities.</p><p>• Enable data-driven decision-making by providing accurate and timely insights.</p><p>• Work independently while contributing to team objectives and fostering collaboration.</p><p><br></p><p>Top 3 Hard Skills:</p><p>1 Past experience performing API integrations between SAAS tools and Power BI</p><p>2 Experience building dashboards for an executive level audience</p><p>3 Prior experience in IT Operations reporting or network operations reporting</p>
<p><strong>Position Summary:</strong></p><ul><li>We are looking for a Data Operations Engineer to support and oversee the automated data‑pipeline environment built on AWS. This position bridges data engineering and customer operations, ensuring that incoming datasets are processed accurately, consistently, and securely within established ingestion and transformation frameworks.</li><li>Key responsibilities include monitoring automated workflows, troubleshooting processing failures, validating data quality, and helping onboard new customers by aligning their data formats to a standardized internal model.</li><li>The role requires strong proficiency in SQL and Python, practical experience with AWS services, and the ability to communicate effectively with external customers when data issues arise.</li></ul><p><strong>Responsibilities:</strong></p><p><strong>Data Pipeline Monitoring & Operations:</strong></p><ul><li>Monitor automated batch and streaming data pipelines in AWS</li><li>Identify, troubleshoot, and resolve data processing failures</li><li>Investigate file‑level errors, schema mismatches, and transformation issues</li><li>Perform root‑cause analysis and document resolutions</li><li>Ensure data integrity, completeness, and timeliness across environments</li><li>Escalate architectural or systemic issues to the Data Engineering team</li></ul><p><strong>Customer Data Onboarding & Implementation:</strong></p><ul><li>Collaborate directly with customers to understand their file formats and data structures</li><li>Create and maintain mapping templates to align customer data to a normalized data model</li><li>Validate sample files and run tests on ingestion workflows</li><li>Configure ingestion parameters within predefined frameworks</li><li>Support customer go‑live processes and initial data processing cycles</li></ul><p><strong>Data Quality & Continuous Improvement:</strong></p><ul><li>Write SQL queries to validate data accuracy and research anomalies</li><li>Develop lightweight Python scripts for validation, transformation checks, or automation tasks</li><li>Improve monitoring processes, internal documentation, and operational playbooks</li><li>Work with engineering teams to strengthen platform reliability and observability</li></ul><p><strong>Customer & Cross‑Functional Collaboration:</strong></p><ul><li>Communicate clearly with customers regarding file issues or data discrepancies</li><li>Partner with internal teams including Data Engineering, Product, and Support</li><li>Provide feedback to enhance scalability, resilience, and overall platform performance</li></ul>