<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>
<p><strong>Job Summary</strong></p><p>As a <strong>Lead Data Analyst</strong>, you will be responsible for understanding business needs, translating them into data analytics solutions, and taking on a leadership role in executing projects requiring expertise in data analytics and relevant technologies. You will also serve as a resource to other data analysts to define and advance best practices.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Drive data analytics initiatives and provide technical leadership for individual projects and deliverables.</li><li>Lead discussions across enterprise functions to leverage domain expertise and capabilities.</li><li>Coordinate with business process owners for SAP objects to ensure data integrity and alignment with business requirements.</li><li>Support data migration projects, including data mapping and validation processes.</li><li>Lead and assist with data validation efforts across multiple SAP objects.</li><li>Manage individual tasks independently and provide leadership for owned projects.</li><li>Engage with business stakeholders to identify opportunities for applying data analytics concepts to real-world business challenges.</li><li>Apply expertise to select appropriate data analytics methods and tools for specific use cases.</li><li>Deliver presentations and communications that build data science credibility with medium-sized groups.</li><li>Lead root cause analysis and advanced troubleshooting efforts.</li><li>Translate stakeholder requirements into actionable data analytics solutions.</li><li>Execute end-to-end data analytics projects: from problem definition to code/model validation and deployment.</li></ul>
We are looking for a highly skilled Data Engineer to join our team on a contract basis in Atlanta, Georgia. This role focuses on optimizing data processes and infrastructure, ensuring efficient data management and performance. The ideal candidate will possess expertise in modern data engineering tools and technologies.<br><br>Responsibilities:<br>• Optimize data indexing and address fragmentation issues to enhance system performance.<br>• Develop and maintain data pipelines using ETL processes to ensure accurate data transformation and integration.<br>• Utilize Apache Spark for scalable data processing and analytics.<br>• Implement and manage big data solutions with Apache Hadoop.<br>• Design and deploy real-time data streaming frameworks using Apache Kafka.<br>• Collaborate with cross-functional teams to identify and resolve data-related challenges.<br>• Monitor and improve system performance by analyzing data usage and storage trends.<br>• Write efficient code in Python to support data engineering tasks.<br>• Document processes and maintain clear records of data workflows and optimizations.<br>• Ensure data security and compliance with organizational standards.
<p>Our client is seeking a Data Architect for multi-year assignment.</p><p><br></p><p>Job Overview:</p><p>The Data Architect will lead the design and implementation of enterprise data systems, ensuring alignment with business needs, data governance, and security standards. This role involves working closely with IT teams, business analysts, and data consumers to deliver scalable and secure data solutions.</p><p>This role will be onsite in Marysville, OH four days per week.</p><p><br></p><p>Daily Responsibilities:</p><ul><li>Translate high-level business requirements into data models, metadata, test data, and data quality standards</li><li>Manage senior business stakeholders to ensure project alignment with strategic roadmaps</li><li>Lead peer reviews and quality assurance of architectural artifacts</li><li>Define and manage standards, guidelines, and processes for data quality</li><li>Collaborate with IT and analytics teams to develop data solutions</li><li>Evaluate and recommend emerging technologies for data management and analytics</li><li>Establish governance frameworks for internal teams and vendor partners</li></ul><p>Project Focus:</p><ul><li>Apply data protection rules across storage, compute, and consumption layers</li><li>Design data protection solutions at database, table, column, and API levels</li><li>Architect data systems including databases, warehouses, and lakes</li><li>Select and implement database management systems with optimized schemas and security</li><li>Enhance data pipeline performance and ensure data governance</li></ul>
We are looking for a skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. This long-term contract position offers an exciting opportunity to contribute to data-driven decision-making processes within the Personal Loans Marketing team. The ideal candidate will leverage their expertise in data analysis, reporting, and visualization to provide actionable insights and optimize marketing performance.<br><br>Responsibilities:<br>• Develop and maintain efficient data workflows to support marketing dashboards and reporting systems.<br>• Document data sources, definitions, and reporting logic to ensure consistency and governance.<br>• Optimize database queries and backend data processes to enhance scalability and performance.<br>• Conduct quality assurance checks to maintain data integrity and accuracy across reports.<br>• Automate recurring reports to monitor campaign metrics such as performance, conversions, and cost-per-acquisition.<br>• Collaborate with engineering and data science teams to streamline data pipelines and improve data quality.<br>• Design and implement interactive dashboards using tools like Tableau to visualize key performance indicators.<br>• Provide ad hoc data analysis and reporting to support marketing campaign decision-making.<br>• Ensure data models and workflows are scalable and align with business needs.
<p>We are seeking a highly motivated <strong>Talent Acquisition Specialist</strong> to join our dynamic team at [Company Name], a leading biotech organization dedicated to advancing cancer research and developing innovative therapies. The ideal candidate will play a critical role in attracting, sourcing, and hiring top-tier scientific, technical, and operational talent to support our mission of transforming cancer care.</p><p>W<strong>Key Responsibilities:</strong></p><ul><li><strong>Full-Cycle Recruitment:</strong> Manage end-to-end recruitment for scientific, technical, and corporate roles, including job postings, candidate sourcing, screening, interviewing, and offer negotiation.</li><li><strong>Strategic Sourcing:</strong> Utilize advanced sourcing techniques, including social media, professional networks, and industry-specific platforms, to identify and engage passive candidates.</li><li><strong>Employer Branding:</strong> Collaborate with marketing and HR teams to promote the company’s culture and mission through recruitment campaigns and career events.</li><li><strong>Stakeholder Partnership:</strong> Work closely with hiring managers and department leaders to understand workforce needs and develop tailored recruitment strategies.</li><li><strong>Compliance & Best Practices:</strong> Ensure all recruitment activities comply with federal, state, and local employment laws, as well as company policies.</li><li><strong>Data-Driven Insights:</strong> Track and analyze recruitment metrics to optimize processes and improve time-to-hire and candidate quality.</li><li><strong>Candidate Experience:</strong> Deliver an exceptional candidate experience throughout the hiring process, reinforcing our commitment to innovation and excellence.</li></ul><p>e<strong>Qualifications:</strong></p><ul><li><strong>Education:</strong> Bachelor’s degree in Human Resources, Business Administration, or related field (Master’s or HR certification preferred).</li><li><strong>Experience:</strong></li><li>3+ years of full-cycle recruiting experience, preferably in biotech, pharmaceutical, or life sciences industries.</li><li>Proven success in sourcing specialized scientific and technical talent.</li><li><strong>Skills:</strong></li><li>Strong knowledge of recruitment tools, ATS systems, and sourcing platforms.</li><li>Excellent communication, negotiation, and relationship-building skills.</li><li>Ability to manage multiple priorities in a fast-paced environment.</li><li><strong>Preferred:</strong> Familiarity with oncology research, clinical trials, and regulatory requirements.</li></ul><p> </p>
<p>We are looking for a skilled Data Reporting Analyst to join our team in Irvine, California. In this role, you will transform complex data sets into actionable insights that drive business decisions in the mortgage industry. You will collaborate with stakeholders to optimize operations, improve forecasting, and ensure compliance in a dynamic and regulated environment.</p><p><br></p><p>Responsibilities:</p><p>• Analyze mortgage pipeline data, financial trends, and loan performance to provide actionable insights.</p><p>• Design and maintain dashboards and reports to monitor key performance indicators across various business functions.</p><p>• Collaborate with stakeholders to identify inefficiencies and opportunities for operational improvements and revenue growth.</p><p>• Track and report on market trends, campaign performance, and borrower behaviors to guide strategic planning.</p><p>• Ensure the accuracy and integrity of data used in regulatory and compliance reporting.</p><p>• Develop predictive models and conduct scenario analyses to assess risks and forecast trends.</p><p>• Present data-driven recommendations through clear written reports and compelling visual presentations.</p>
<p><strong>Company Overview:</strong></p><p>At Robert Half, we partner with innovative organizations seeking talented professionals to drive business decisions through data. We are seeking a skilled Data Analyst – Technology to join our client’s dynamic team on a contract basis.</p><p><br></p><p><strong>Role Summary:</strong></p><p>The Data Analyst – Technology translates complex data into valuable insights, supporting critical decision-making across the business. You will work with cross-functional teams to gather, analyze, and visualize data, ensuring our client maintains a competitive edge in today’s technology-driven marketplace.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Collect, clean, and interpret large datasets using advanced analytical techniques.</li><li>Develop and maintain dashboards and reports with tools such as Excel, SQL, Power BI, or Tableau.</li><li>Work with stakeholders to identify reporting requirements and key metrics.</li><li>Present findings and actionable recommendations to technical and non-technical audiences.</li><li>Collaborate with IT and business units to enhance data quality and implement process improvements.</li><li>Ensure the confidentiality and integrity of sensitive business data.</li></ul><p><br></p>
<p><strong>Company Overview:</strong></p><p>Our team partners with innovative organizations to turn data into actionable business insight. We are seeking a detail-oriented Business Intelligence Analyst to support our client’s growth and decision-making through advanced analytics and reporting.</p><p><br></p><p><strong>Role Summary:</strong></p><p>As a Business Intelligence Analyst, you will analyze data, create dashboards, and collaborate with stakeholders to deliver insights that drive operational efficiency and business strategy. Your work will be critical in helping leaders make data-driven decisions and uncover trends that impact the organization’s success.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Translate business needs into technical data solutions and reporting requirements.</li><li>Develop and maintain dashboards using tools such as Power BI, Tableau, or other BI platforms.</li><li>Collaborate across departments to identify opportunities for leveraging data and process improvements.</li><li>Analyze large datasets to identify patterns, trends, and actionable insights.</li><li>Prepare visualizations and presentations to communicate findings and recommendations effectively.</li><li>Ensure the accuracy, integrity, and confidentiality of sensitive data.</li></ul>
<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to join our team near Raleigh, North Carolina. In this role, you will play a pivotal part in transitioning our organization from descriptive analytics to predictive analytics, enabling data-driven decision-making and storytelling through advanced insights. This is an excellent opportunity to build innovative solutions from the ground up within a collaborative and supportive environment.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with business teams to understand their needs and identify opportunities for predictive analytics applications.</p><p>• Design and implement machine learning models and algorithms to deliver actionable insights.</p><p>• Develop and maintain analytical solutions using tools like Python, R, and TensorFlow.</p><p>• Utilize cloud platforms such as Microsoft Azure to deploy and manage machine learning workflows.</p><p>• Create compelling data visualizations using BI tools like Power BI to communicate findings effectively.</p><p>• Lead efforts to identify and prioritize predictive analytics projects aligned with organizational goals.</p><p>• Provide technical expertise and guidance to team members, ensuring the success of analytics initiatives.</p><p>• Drive the adoption of advanced analytics practices across the organization.</p><p>• Ensure data integrity and optimize data pipelines to support machine learning processes.</p><p>• Stay current with emerging trends and technologies in artificial intelligence and predictive analytics.</p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<p><strong>Job Title</strong>: Data & Financial Operations Analyst </p><p><strong>Location</strong>: Santa Fe Springs </p><p><strong>About Our Client:</strong> Join a nationwide leader in the distribution industry where innovation, precision, and performance drive everything we do. We’re looking for a data-savvy powerhouse who thrives at the intersection of sales analytics, financial operations, and business intelligence — someone who doesn’t just crunch numbers but transforms them into compelling stories that guide strategic decisions. </p><p><br></p><p><strong>What You’ll Do: </strong></p><ul><li>Master the Numbers: Own weekly sales projection models in Excel, ensuring leadership has accurate, real-time insights to forecast growth. </li><li>Build Powerful Dashboards: Design dynamic, visually impactful dashboards (Excel, Power BI, or Tableau) that give decision-makers instant clarity on performance trends. </li><li>Deliver High-Impact Reports: Create and present monthly performance and trend reports by extracting, cleansing, and analyzing data from large databases. </li><li>Dig Deep: Use data mining techniques to identify sales opportunities, operational efficiencies, and revenue gaps. </li><li>Ensure Financial Precision: Review credit card statements and GL-coded entries for accuracy, compliance, and cost control. </li><li>Protect Profitability: Audit billing systems and pricing terms to confirm alignment with contracts and margin expectations. </li><li>Elevate Insights: Partner with sales, finance, and operations teams to translate raw data into actionable business strategies.</li></ul>
We are in search of a Data Reporting Analyst in the legal industry, located in New York. The role involves handling and analyzing data, identifying trends, and supporting legal strategies and decision-making. The successful candidate will be expected to collaborate with various stakeholders, ensure data accuracy, and adapt to changing priorities.<br><br>Responsibilities:<br><br>• Handle and analyze medium to large datasets, extracting valuable insights to support legal strategies and decisions.<br>• Collaborate with various stakeholders to gather requirements, ensuring the maintenance of data accuracy.<br>• Develop and implement data systems and models, aiding in the identification and tracking of legal trends.<br>• Uphold compliance with data privacy and legal regulations, ensuring all data handling aligns with these standards.<br>• Regularly provide reports, ensuring the maintenance of data integrity.<br>• Adapt to changing priorities as required, demonstrating flexibility and the ability to manage multiple tasks.<br>• Utilize Apache Spark, Atlassian Jira, BusinessObjects Technologies, Erwin Data, and Gap Analysis tools effectively.<br>• Implement AB Testing, Agile Scrum, Analytics, Business Intelligence (BI), and Business Requirement Document skills in daily operations.
We are looking for a highly skilled Data Reporting Analyst to join our team in Cincinnati, Ohio. In this long-term contract position, you will play a key role in transforming complex data into actionable insights that drive business decisions. This hybrid role requires a blend of technical expertise and analytical capabilities to support organizational goals effectively.<br><br>Responsibilities:<br>• Analyze complex datasets to uncover trends, insights, and opportunities for business improvement.<br>• Develop and maintain dashboards, reports, and visualizations using tools such as Tableau and BusinessObjects.<br>• Collaborate with cross-functional teams to understand reporting needs and ensure data integrity.<br>• Utilize Python and SQL to automate data processes and streamline workflows.<br>• Apply advanced analytics methods to support strategic initiatives and decision-making.<br>• Monitor and optimize reporting systems to ensure accuracy and efficiency.<br>• Translate technical findings into clear, actionable recommendations for stakeholders.<br>• Provide support for data governance and adherence to organizational standards.<br>• Stay updated on industry trends and emerging tools to enhance reporting capabilities.
<p><strong>SOLUTION ARCHITECT – Digital Transformation - 100% DIRECT HIRE </strong></p><p><strong>Drive Innovation in Commercial Platforms with a Modern Azure, React, APi's, .NET AI Tech Stack! </strong></p><p><strong>LOCATION: DES MOINES IOWA - HYBRID in office. NOTE: NOT 100% REMOTE. </strong></p><p><strong>HYBRID: ONLY in the office a few times during each month! SUPER FLEXIBLE! </strong></p><p>Ready to shape how global enterprises engage customers & partners digitally? Join a worldwide leader undergoing rapid digital transformation—seeks a Solution Architect to design and deliver next-gen digital platforms, web apps, and elevate CX. Bring your strategic vision to the intersection of technology innovation and business growth.</p><p>Solution Architect – Digital Transformation -</p><p>Foor Immediate & Confidential Consideration: <strong> 📩 Carrie Danger, SVP Permanent Placement, on LinkedIn . 📞 Office: 515-259-6087 | Cell: 515-991-0863 . 📧 Email found on My LinkedIn profile</strong></p><ul><li><strong>Compensation: Competitive base up to $155K</strong></li><li><strong>Bonus potential up to 20%</strong></li></ul><p><strong>Your Focused Mission:</strong></p><ul><li>Design scalable, secure cloud solutions with Azure, Databricks, React & Node.js</li><li>Lead delivery of cloud-native, API-first architectures for seamless CX</li><li>Translate complex technology concepts for business stakeholders</li><li>Transform business needs into reusable solutions and architecture documentation</li><li>Guide teams on best practices for data environments, APIs, and microservices</li><li>Collaborate cross-functionally to establish Communities of Practice and co-create architecture roadmaps with leadership</li><li>Ensure governance, compliance, and ongoing improvement of standards</li><li>Mentor and coach architecture & development teams</li></ul><p><strong>WHAT YOU NEED: </strong></p><ul><li>5+ years designing enterprise software architecture (cloud, APIs, web)</li><li>3+ years with Azure cloud platforms, including hybrid environments</li><li>Track record with API-first design, microservices, event-driven architecture, SOA</li><li>Hands-on Azure Databricks, Data Factory, Delta Lake, Synapse Analytics, Big Data</li><li>Skilled in React, Node.js, Python, Scala, SQL, or similar</li><li>AI development experience a plus</li><li>Skilled ability to connect tech with business</li></ul><p><strong>WHY JOIN? </strong></p><ul><li>Strategic, high-impact role influencing global digital strategy</li><li>Collaborative & innovative teams</li><li>Hybrid flexibility & tech l growth into digital, data, and cloud domains. <strong>For immediate and confidential consideration on this Solution Architect – Digital Transformation connect directly with Carrie Danger, SVP Permanent Placement Team (Iowa Region): 515-259-6087 (office), 515-991-0863 (cell), or via email (on LinkedIn). One-click apply also available on the Robert Half site. Your information will never be shared without your direct consent.</strong></li></ul><p><br></p>
<ul><li>Product Development: Partner with the data science team to conceptualize, develop, and refine cutting-edge data analytics products tailored to specific engineering domains.</li><li>Sales Enablement: Collaborate with the sales team to articulate product value, address customer needs, and drive sales to advanced technical SMEs/PHDs</li><li>Customer Success: Provide comprehensive technical support, training, and onboarding to ensure customer satisfaction and product adoption.</li><li>Market Intelligence: Conduct market research, analyze competitive landscapes, and identify opportunities for product enhancement and expansion.</li><li>Product Documentation: Develop clear and concise product documentation, including user guides, process flows, and use cases.</li></ul><p><br></p>
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
<p><strong>Summary</strong></p><p>We are seeking a <strong>curious, proactive, and innovative Data Scientist</strong> with expertise in <strong>AI/ML and Large Language Models (LLMs)</strong> to design and deploy AI-driven solutions that deliver measurable business impact. This role involves working with <strong>LLMs, NLP, and deep learning techniques</strong> to build scalable models and translate complex insights into actionable strategies.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>AI/ML Model Development:</strong> Design, train, and fine-tune machine learning and deep learning models, including LLMs for predictive analytics and automation.</li><li><strong>Data Analysis & Feature Engineering:</strong> Collect, process, and analyze structured/unstructured data; engineer features to optimize model performance.</li><li><strong>NLP & Agent-Based Applications:</strong> Develop LLM-based AI solutions with prompt engineering, fine-tuning, and inference optimization.</li><li><strong>Business Impact:</strong> Translate data science methodologies into actionable insights for stakeholders.</li><li><strong>End-to-End Deployment:</strong> Implement MLOps best practices for scalable, reliable model deployment.</li><li><strong>Visualization & Storytelling:</strong> Create dashboards and presentations to communicate findings to non-technical audiences.</li></ul>
<ul><li>5+ years of experience in <strong>data analysis or business intelligence</strong> roles</li><li>Advanced proficiency in <strong>SQL</strong></li><li>Strong experience with <strong>Azure analytics and data platforms</strong></li><li>Hands-on experience with <strong>Power BI</strong> (DAX, data modeling, performance optimization)</li><li>Experience working with large datasets and complex data structures</li><li>Strong communication skills with the ability to present insights to non-technical audiences</li></ul><p><br></p><p><br></p><p><br></p>
<p>We are on the lookout for a Data Engineer in Basking Ridge, New Jersey. (1-2 days a week on-site*) In this role, you will be required to develop and maintain business intelligence and analytics solutions, integrating complex data sources for decision support systems. You will also be expected to have a hands-on approach towards application development, particularly with the Microsoft Azure suite.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Develop and maintain advanced analytics solutions using tools such as Apache Kafka, Apache Pig, Apache Spark, and AWS Technologies.</p><p>• Work extensively with Microsoft Azure suite for application development.</p><p>• Implement algorithms and develop APIs.</p><p>• Handle integration of complex data sources for decision support systems in the enterprise data warehouse.</p><p>• Utilize Cloud Technologies and Data Visualization tools to enhance business intelligence.</p><p>• Work with various types of data including Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, and Discovery Data.</p><p>• Maintain familiarity with key industry best practices in a regulated “GXP” environment.</p><p>• Work with commercial pharmaceutical/business information, Supply Chain, Finance, and HR data.</p><p>• Leverage Apache Hadoop for handling large datasets.</p>
<p>We are seeking a skilled Data Engineer to join our team and help design, build, and maintain robust data pipelines and infrastructure. This role is critical for enabling data-driven decision-making across the organization. You will work closely with analysts, developers, and business stakeholders to ensure data is accurate, accessible, and secure.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and optimize scalable data pipelines and ETL processes.</li><li>Integrate data from multiple sources into centralized data platforms.</li><li>Implement and maintain data models, schemas, and storage solutions.</li><li>Ensure data quality, integrity, and compliance with security standards.</li><li>Collaborate with cross-functional teams to support analytics and reporting needs.</li><li>Monitor and troubleshoot data workflows for performance and reliability.</li></ul><p><br></p><p><br></p>
<p>Robert Half is currently partnering with a well-established company in San Diego that is looking for a Senior Data Engineer, experienced in BigQuery, DBT (Data Build Tool), and GCP. This position is full time (permanent placement) that is 100% onsite in San Diego. We are looking for a Principal Data Engineer that is passionate about optimizing systems with advanced techniques in partitioning, indexing, and Google Sequences for efficient data processing. Must have experience in DBT!</p><p>Responsibilities:</p><ul><li>Design and implement scalable, high-performance data solutions on GCP.</li><li>Develop data pipelines, data warehouses, and data lakes using GCP services (BigQuery, and DBT, etc.).</li><li>Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.</li><li>Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>Design, develop, and implement a new version of a big data tool tailored to client requirements.</li><li>Leverage advanced expertise in DBT (Data Build Tool) and Google BigQuery to model and transform data pipelines.</li><li>Optimize systems with advanced techniques in partitioning, indexing, and Google Sequences for efficient data processing.</li><li>Collaborate cross-functionally with product and technical teams to align project deliverables with client goals.</li><li>Monitor, debug, and refine the performance of the big data tool throughout the development lifecycle.</li></ul><p><strong>Minimum Qualifications:</strong></p><ul><li>5+ years of experience in a data engineering role in GCP .</li><li>Proven experience in designing, building, and deploying data solutions on GCP.</li><li>Strong expertise in SQL, data warehouse design, and data pipeline development.</li><li>Understanding of cloud architecture principles and best practices.</li><li>Proven experience with DBT, BigQuery, and other big data tools.</li><li>Advanced knowledge of partitioning, indexing, and Google Sequences strategies.</li><li>Strong problem-solving skills with the ability to manage and troubleshoot complex systems.</li><li>Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.</li><li>Experience with Looker or other data visualization tools.</li></ul>
<p>Summary</p><p>We are seeking an AWS Data Analyst to collect, clean, and interpret large datasets, uncover patterns and insights, and communicate findings through reports and dashboards to drive business decisions. The ideal candidate will have strong analytical skills, proficiency in SQL, Python, and AWS services, and the ability to translate complex data into actionable strategies.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>Extract, clean, and analyze large datasets from multiple sources</p><p>Write complex SQL queries for data retrieval and manipulation</p><p>Develop and maintain dashboards and reports for stakeholders</p><p>Work with AWS services such as S3, Redshift, Athena, and Glue for data processing</p><p>Collaborate with cross-functional teams to understand data requirements</p><p>Ensure data integrity, consistency, and security across databases</p><p>Identify trends, anomalies, and opportunities to support business decisions</p>
<p>A leading organization in the e-commerce and technology industry is seeking a <strong>Data Analyst II</strong> to support high-impact business decisions through advanced financial, economic, operational, and capacity-related analysis. This Remote role supports one of the company’s major nationwide safety and fleet-technology initiatives, requiring a strong analytical mindset, exceptional attention to detail, and the ability to operate independently in a fast-paced, rapidly scaling environment.</p><p> </p><p>The ideal candidate thrives in dynamic settings, works well with cross-functional teams, and enjoys solving complex operational and financial problems.</p><p> </p><p><strong>Key Responsibilities</strong></p><p><strong>Financial & Economic Analysis</strong></p><ul><li>Conduct economic, financial, and market analysis across capacity planning, pricing, cost modeling, and return-on-investment scenarios.</li><li>Build, maintain, and refine <strong>financial and operational models</strong> to support forecasting, variance analysis, and strategic decision-making.</li></ul><p><strong>Capacity, Budgeting & Forecasting</strong></p><ul><li>Support capacity forecasting, budgeting, and reporting across OpEx, CapEx, and resource allocation initiatives.</li><li>Track, interpret, and analyze large and complex data sets tied to fleet repair, utilization, and operations.</li></ul><p><strong>Tools, Dashboards & Systems Development</strong></p><ul><li>Design, enhance, and coordinate the development of <strong>analytical systems, dashboards, and reporting tools</strong> to support a rapidly evolving business environment.</li><li>Ensure analytical tools scale with business growth and remain aligned with operational needs.</li></ul><p><strong>Cross-Functional Collaboration</strong></p><ul><li>Partner with program managers and other stakeholders to validate assumptions, identify trends, and deliver insights.</li><li>Convert data findings into actionable recommendations for leadership and operational teams.</li><li>Participate in daily collaboration with team members; limited interaction with developers or technical engineering teams.</li></ul><p><strong>Operational Project Support</strong></p><ul><li>Contribute directly to repair-data management initiatives for fleet-related technologies.</li><li>Provide weekly reports, tracking summaries, and data accuracy evaluations.</li><li>Manage shifting priorities and work independently while maintaining a high degree of accuracy.</li></ul><p><br></p>
Qualifications<br>QUALIFICATIONS<br><br>These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. The requirements listed below are representative of the knowledge, skill and/or ability required to perform the position in a satisfactory manner. Individual abilities may result in some deviation from these guidelines.<br><br>• A self-starting team player who possesses a bachelor’s degree in Information Technology, Engineering Technology, Computer Information Technology, or related field<br>• Minimum of 10 years of technical experience directing data analytics teams (Enterprise Data Architecture, Data Analytics, Data Governance, ALM Teams, Release Management, Support Functions) within a hybrid cloud environment<br>• Minimum of 5 years in banking experience<br>• Background in large scale migrations, hybrid cloud, and application modernization projects<br>• Experience with regulated or complex environments<br>• Familiarity with ITIL, Agile, and modern delivery frameworks<br>• Proven experience delivering enterprise Azure solutions in an IT and Business-facing capacity<br>• Strong understanding of core Azure services and architecture patterns across Compute, networking, identity, storage, containers, and automation<br>• Knowledgeable with Infrastructure as code (ARM, Bicep, Terraform), DevOps pipelines, and CI/CD practices<br>• Strong understanding of Gen AI principles (Microsoft CoPilot), large language models (LLM) and their applications in analytics<br>• Strong knowledge of security, governance, identity (Entra ID), and compliance considerations for Azure<br>• Microsoft Cloud certifications<br>• F
