<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>As a Data Scientist, you will analyze complex datasets to extract actionable insights and build data-driven solutions. You will work closely with cross-functional teams to design predictive models, create data visualizations, and develop algorithms that support business objectives.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze large, structured, and unstructured datasets to identify patterns and trends.</li><li>Design, develop, and implement machine learning models and statistical algorithms.</li><li>Conduct exploratory data analysis (EDA) to support decision-making.</li><li>Collaborate with engineering and business teams to translate business needs into data-driven solutions.</li><li>Create and deploy predictive and prescriptive analytics solutions.</li><li>Build and maintain data pipelines and workflows to support data accessibility.</li><li>Develop visualizations, dashboards, and reports to communicate findings effectively.</li><li>Stay updated with the latest advancements in data science and integrate them into projects.</li></ul><p><br></p>
We are looking for an entry-level Data Scientist to join a dynamic analytics team in New York, New York. This role offers the opportunity to work closely with large datasets, uncover meaningful trends, and present actionable insights directly to clients. If you are detail-oriented, technically skilled, and passionate about turning data into impactful business solutions, this position is an excellent fit for you.<br><br>Responsibilities:<br>• Analyze large client datasets to perform Matchback reporting using Excel and internal tools.<br>• Create visually compelling PowerPoint presentations featuring charts and graphs to summarize insights.<br>• Present analytical findings and recommendations directly to clients, showcasing strong communication skills.<br>• Collaborate with team members and executives to ensure alignment on data-driven strategies.<br>• Assist with predictive modeling projects, leveraging external vendor tools and receiving training as needed.<br>• Maintain and optimize reporting processes to ensure accuracy and efficiency.<br>• Utilize Python and SQL to support data analysis and visualization tasks.<br>• Apply data visualization techniques through tools like Tableau or Power BI to enhance reporting.<br>• Provide timely updates and insights to stakeholders, contributing to strategic decision-making.
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.
Job Title: Data Engineer Location: Hybrid, Chicago, IL <br> About the Role: Our company is seeking a Data Engineer with 5–7 years of experience in data engineering. This role is designed for individuals who excel at building robust, scalable data solutions in AWS cloud environments. As part of our team, you’ll engineer and optimize data pipelines critical to our analytics, reporting, and data-driven strategy, while collaborating cross-functionally in a hybrid Chicago-based setting. <br> Key Responsibilities: <br> Design, build, and maintain scalable data pipelines and architectures using AWS cloud services. Develop, manage, and optimize ETL/ELT workflows to acquire, clean, and transform data from diverse sources. Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver solutions. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Monitor pipeline performance and troubleshoot issues to maximize data reliability and efficiency. Apply data governance best practices and maintain technical documentation. <br> Must-Have Technologies: Languages: Python, SQL Cloud: AWS (S3, Redshift, Glue, Lambda, RDS, Data Pipeline) Big Data: Apache Spark, Hadoop, Kafka ETL Tools: Airflow, AWS Data Pipeline Databases: PostgreSQL, MySQL, Redshift, MongoDB Work Arrangement: <br> Hybrid schedule with regular in-office collaboration in Chicago, IL. Preferred Certifications (optional): <br> AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect Certified Data detail oriented (CDP)
<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>
<p><strong>Job Title:</strong> Data Analytics Specialist – SAP Data Governance & Quality</p><p> <strong>Service Type:</strong> Temporary, 44 Week Contract</p><p> <strong>Location:</strong> Remote (Must be located in EST or CST)</p><p><strong>Position Overview</strong></p><p>Are you passionate about data? Do you find joy in transforming raw information into meaningful insights? If so, we invite you to apply for the role of <strong>SAP Data Analytics Specialist</strong>. This position plays a key role in preparing for our migration to SAP S/4HANA by ensuring the integrity, accuracy, and optimization of data across SAP systems.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Data Profiling:</strong> Analyze SAP data for quality, consistency, and completeness. Identify patterns, anomalies, and areas for improvement.</li><li><strong>Data Quality Management:</strong> Develop and apply data quality rules, perform validation checks, and recommend corrective actions.</li><li><strong>Data Governance:</strong> Collaborate with stakeholders to uphold data governance standards and promote best practices.</li><li><strong>Data Migration & Integration:</strong> Support SAP data migration efforts, ensuring clean and structured data, and assist with data mapping and integration.</li><li><strong>Reporting & Analytics:</strong> Create and maintain dashboards and reports to monitor KPIs related to data quality and system performance.</li><li><strong>Cross-Functional Collaboration:</strong> Partner with SAP functional teams (e.g., MM, SD, FICO) to resolve data issues and implement data-driven solutions.</li><li><strong>Continuous Improvement:</strong> Contribute to process enhancements that improve data accuracy and system efficiency.</li><li><strong>Documentation & Training:</strong> Document methodologies and procedures; assist in developing training materials for data management processes.</li></ul><p><br></p><p><strong>What You Will Learn</strong></p><ul><li>How to transform raw data into high-quality, fit-for-purpose assets.</li><li>How to collaborate across departments to unlock the value of enterprise data.</li><li>The strategic role data plays in driving business decisions.</li><li>Best-in-class tools and techniques that will elevate your career.</li></ul><p><br></p>
We are looking for a skilled Generative AI Analyst/Prompt Engineer to join our team on a contract basis in New York, New York. In this role, you will leverage your expertise in data science and artificial intelligence to develop and optimize innovative solutions. This position is an excellent opportunity to work in the financial services industry while applying cutting-edge AI technologies to real-world challenges.<br><br>Responsibilities:<br>• Design, implement, and optimize AI-driven models and solutions tailored to business needs.<br>• Develop and maintain scalable data pipelines and workflows using tools like Apache Kafka, Spark, and Hadoop.<br>• Write and debug Python code, utilizing Jupyter Notebooks for effective data analysis and visualization.<br>• Collaborate with cross-functional teams to integrate AI models into existing systems and workflows.<br>• Research and experiment with state-of-the-art generative AI techniques to improve system performance.<br>• Build and manage APIs to facilitate seamless communication between applications and AI models.<br>• Utilize cloud-based technologies, including AWS, to deploy, scale, and monitor AI solutions.<br>• Visualize complex data insights through effective data visualization techniques and tools.<br>• Implement algorithms that solve specific business problems in a robust and efficient manner.
<p><strong>Senior Financial Analyst, Norwalk CT </strong></p><p><br></p><p>Transform large manual data sets into automated reporting</p><p>Leverage financial statements and business flow knowledge to contextualize analysis</p><p>Streamline reporting and support company wide decision making</p><p><br></p><p><strong>Why You’ll Love It Here</strong></p><ul><li>Tenured, supportive team</li><li><strong>Great Benefits:</strong> Medical, Dental, Vision, and 401(k) with company match</li><li>Hybrid schedule </li></ul>
We are looking for a skilled Data Engineer to join our team in Ann Arbor, Michigan, and contribute to the development of a modern, scalable data platform. In this role, you will focus on building efficient data pipelines, ensuring data quality, and enabling seamless integration across systems to support business analytics and decision-making. This position offers an exciting opportunity to work with cutting-edge technologies and play a key role in the transformation of our data environment.<br><br>Responsibilities:<br>• Design and implement robust data pipelines on Azure using tools such as Databricks, Spark, Delta Lake, and Airflow.<br>• Develop workflows to ingest and integrate data from diverse sources into Azure Data Lake.<br>• Build and maintain data transformation layers following the medallion architecture principles.<br>• Apply data quality checks, validation processes, and deduplication techniques to ensure accuracy and reliability.<br>• Create reusable and parameterized notebooks to streamline batch and streaming data processes.<br>• Optimize merge and update logic in Delta Lake by leveraging efficient partitioning strategies.<br>• Collaborate with business and application teams to understand and fulfill data integration requirements.<br>• Enable downstream integrations with APIs, Power BI dashboards, and reporting systems.<br>• Establish monitoring, logging, and data lineage tracking using tools like Unity Catalog and Azure Monitor.<br>• Participate in code reviews, agile development practices, and team design discussions.
<p>SUMMARY OF POSITION: </p><p>The Senior Data Analyst plays a pivotal role in transforming data into actionable insights that drive business decisions and operational excellence across the organization. As a senior member of the Data Team—part of the IT Division—the analyst will lead advanced data modeling, analytics, and visualization efforts, while mentoring peers and ensuring adherence to data governance and quality standards.</p><p><br></p><p>This position partners closely with stakeholders across Finance, Operations, HR, and Project Management to deliver trusted data solutions from our Azure Databricks Lakehouse and connected systems (Deltek Vantagepoint, Dynamics 365, Workday, and others). The ideal candidate is highly analytical, self-driven, and passionate about leveraging data to enable smarter business outcomes.</p><p><br></p><p>ESSENTIAL JOB FUNCTIONS:</p><p>• Lead advanced analytical projects using data sourced from the company’s Azure Databricks lakehouse, ensuring outputs align with strategic business objectives.</p><p>• Design and develop Power BI dashboards leveraging Microsoft Fabric capacity and robust data models for scalability, governance, and performance.</p><p>• Build and maintain data models and transformations in Databricks SQL using Delta tables, Unity Catalog, and Lakehouse architecture best practices.</p><p>• Collaborate with data engineers to enhance ingestion pipelines using Fivetran, Workato, REST APIs, and other connectors.</p><p>• Perform exploratory and diagnostic analyses using SQL, Python (pandas, numpy), and Power BI to uncover business trends, inefficiencies, and improvement opportunities.</p><p>• Ensure data quality and lineage through established data governance frameworks, including metadata documentation, business glossary maintenance, and data issue management.</p><p>• Develop stored procedures and SQL logic to support operational systems such as Deltek Vantagepoint and related financial integrations.</p><p>• Collaborate with business stewards and system owners to validate data accuracy and drive consistency across departments.</p><p>• Mentor junior analysts and help define Power BI development standards, DAX best practices, and model optimization techniques.</p><p>• Communicate insights effectively through visual storytelling, executive dashboards, and data narratives tailored for non-technical audiences.</p><p><br></p><p>EDUCATION & EXPERIENCE</p><p>• Bachelor’s degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field.</p><p>• Minimum 5–7 years of professional experience in data analytics, BI development, or related technical roles.</p><p>• Experience working with cloud-based data platforms (Azure, Databricks, or Snowflake).</p><p>• Microsoft Certification PL-300 (Power BI Data Analyst) or DP-900 / Databricks Certified Data Analyst preferred.</p>
<p>We are looking for an experienced VP of Strategic Marketing and Client Engagement. In this leadership role, you will drive the development of innovative marketing strategies designed to align with client business goals and enhance engagement through data-driven approaches. This position requires a strong blend of strategic vision, analytical expertise, and collaborative leadership to deliver impactful results for healthcare and life sciences clients. Candidates must have experience with both B2B HCP audiences and B2C Physician audiences. This role requires quarterly travel throughout the East Coast. </p><p><br></p><p>Responsibilities:</p><p>• Partner with clients to develop and implement marketing strategies that align with their business objectives and deliver measurable outcomes.</p><p>• Oversee cross-functional collaboration across marketing, analytics, and product teams to optimize media strategies, improve audience targeting, and enhance engagement.</p><p>• Utilize data insights to curate audience segmentation and design campaigns tailored to specific client needs.</p><p>• Play a key role in business development efforts, including campaign performance analysis and strategies for revenue growth.</p><p>• Create and execute plans aimed at improving client satisfaction, retention rates, and overall revenue.</p><p>• Collaborate with analytics teams to ensure data-driven recommendations support omnichannel marketing initiatives.</p><p>• Lead strategic planning efforts in close coordination with data science and engineering teams to deliver insight-focused solutions.</p><p>• Mentor and manage account management, analytics, and strategy teams to drive operational excellence and foster growth.</p><p>• Develop comprehensive strategic roadmaps that guide client projects and enhance marketing program effectiveness.</p><p>• Support the alignment of marketing strategies with organizational growth objectives and industry trends</p>
We are looking for an experienced Data Engineer to join our team on a contract basis. In this role, you will play a key part in developing and maintaining data systems that support business objectives. Based in Cincinnati, Ohio, the position offers an opportunity to work with cutting-edge technologies and collaborate with a dynamic team.<br><br>Responsibilities:<br>• Design, develop, and optimize data pipelines and workflows using ETL processes.<br>• Implement and maintain big data solutions leveraging Apache Spark, Hadoop, and Kafka.<br>• Collaborate with cross-functional teams to analyze data requirements and ensure seamless integration.<br>• Develop scalable and efficient data models to support business intelligence and analytics.<br>• Write clean, maintainable Python code for data processing and transformation.<br>• Monitor and troubleshoot data systems to ensure reliability and performance.<br>• Ensure compliance with data governance policies and security standards.<br>• Provide technical support and guidance for the implementation of data solutions.<br>• Document system architecture and processes to maintain clarity and consistency.<br>• Stay updated with emerging trends and technologies in data engineering.
We are looking for an Accounting Analyst to join our team in New York, New York. This role offers an exciting opportunity to contribute to a newly established team dedicated to streamlining and organizing financial and accounting data across the company. The position involves working on impactful projects that span the entire organization, providing valuable insights and driving efficiency.<br><br>Responsibilities:<br>• Analyze and organize financial and accounting data to enhance reporting and tracking across the company.<br>• Collaborate with various departments to ensure accurate and streamlined financial processes.<br>• Utilize Excel to perform advanced data analysis and create meaningful reports.<br>• Support projects that improve firm-wide efficiency and financial operations.<br>• Develop and maintain dashboards using Power BI to visualize key financial metrics.<br>• Conduct ad hoc financial analyses to support business decision-making.<br>• Identify opportunities for process improvement and recommend actionable solutions.<br>• Work closely with leadership to provide insights and recommendations based on financial data.<br>• Ensure compliance with company policies and financial regulations.<br>• Assist in the preparation of reports and presentations for stakeholders.
<p>We are looking for a Senior Data Architect working across diverse domains and technologies. In this long-term contract position, you will play a pivotal role in driving innovation, aligning technology strategies with business goals, and ensuring architectural excellence. This position is based on site 4 days per week in Southern California and offers the opportunity to join an amazing team.</p><p><br></p><p>Daily Tasks Performed: </p><p> - Translates high-level business requirements into data models and appropriate metadata test data and data quality standards. </p><p> - Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps. </p><p> - Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards guidelines and processes to ensure data quality. </p><p> - Works with IT teams business analysts and data analytics teams to understand data consumers' needs and develop solutions. </p><p> - Evaluates and recommends emerging technologies for data management storage and analytics </p><p> - Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services. </p><p><br></p><p> What this person will be working on: </p><p> - Understand data confidentiality security compliance needs and apply data protection rules including data sharing filtering and fencing at storage compute and consumption layers. </p><p> - Design data protection solutions at database table column level and APIs based on enterprise standard data security privacy architecture principles and reference architectures. </p><p> - Design the structure and layout of data systems including databases warehouses and lakes Select and implement database management systems that meet the organization's needs by defining data schemas optimizing data storage and establishing data access controls and security measures </p><p> - Deliver exceptional business value by enhancing data pipeline performance ensuring timely orchestration and upholding data governance. </p><p><br></p><p><br></p><p><br></p><p><br></p>
<p><strong>Position: Databricks Data Engineer</strong></p><p><strong>Location:</strong> Remote (U.S. based) — Preference for candidates in or willing to relocate to <strong>Washington, DC</strong> or <strong>Indianapolis, IN</strong> for periodic on-site support</p><p><strong>Citizenship Requirement:</strong> U.S. Citizen</p><p><br></p><p><strong>Role Summary:</strong></p><p>Seeking a Databricks Data Engineer to develop and support data pipelines and analytics environments within an Azure cloud-based data lake. This role translates business requirements into scalable data engineering solutions and supports ongoing ETL operations with a focus on data quality and management.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, build, and optimize scalable data solutions using <strong>Databricks</strong> and <strong>Medallion Architecture</strong>.</li><li>Develop ingestion routines for multi-terabyte datasets across multiple projects and Databricks workspaces.</li><li>Integrate structured and unstructured data sources to enable high-quality business insights.</li><li>Apply data analysis techniques to extract insights from large datasets.</li><li>Implement data management strategies to ensure data integrity, availability, and accessibility.</li><li>Identify and execute cost optimization strategies in data storage, processing, and analytics.</li><li>Monitor and respond to user requests, addressing performance issues, cluster stability, Spark optimization, and configuration management.</li><li>Collaborate with cross-functional teams to support AI-driven analytics and data science workflows.</li><li>Integrate with Azure services including:</li><li>Azure Functions</li><li>Storage Services</li><li>Data Factory</li><li>Log Analytics</li><li>User Management</li><li>Provision and manage infrastructure using <strong>Infrastructure-as-Code (IaC)</strong>.</li><li>Apply best practices for <strong>data security</strong>, <strong>governance</strong>, and <strong>compliance</strong>, supporting federal regulations and public trust standards.</li><li>Work closely with technical and non-technical teams to gather requirements and translate business needs into data solutions.</li></ul><p><strong>Preferred Experience:</strong></p><ul><li>Hands-on experience with the above Azure services.</li><li>Strong foundation in <strong>advanced AI technologies</strong>.</li><li>Experience with <strong>Databricks</strong>, <strong>Spark</strong>, and <strong>Python</strong>.</li><li>Familiarity with <strong>.NET</strong> is a plus.</li></ul>
<p> <strong>Key Highlights:</strong></p><ul><li>Design and implement scalable AI and data architectures aligned with business goals</li><li>Lead development of data platforms and AI-driven systems for analytics, automation, and machine learning</li><li>Collaborate across business and technical teams to translate needs into architectural solutions</li><li>Stay current with emerging AI technologies and drive innovation across the organization</li></ul><p><br></p>
<p><strong>Senior BI Engineer</strong></p><p>We are seeking a highly skilled <strong>Senior Business Intelligence (BI) Engineer</strong> to lead the design, development, and optimization of our data analytics and reporting solutions. In this role, you will leverage Power BI, SQL, and modern data tools to transform raw data into meaningful insights that drive strategic business decisions.</p><p><br></p><p><strong>About the Role</strong></p><p>As a Senior BI Engineer, you will work closely with business leaders, data teams, and technical stakeholders to understand reporting needs, develop scalable data models, and deliver high-impact dashboards and analytics solutions. This role requires strong technical expertise, analytical thinking, and the ability to translate complex data into actionable insights.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, build, and maintain interactive dashboards and reports using <strong>Power BI</strong>.</li><li>Develop scalable data models, DAX calculations, and ETL processes.</li><li>Collaborate with stakeholders to gather BI requirements and translate them into technical solutions.</li><li>Ensure data accuracy, consistency, and quality across BI solutions.</li><li>Optimize existing reports and datasets for performance and usability.</li><li>Work with SQL databases to extract, transform, and load data for reporting.</li><li>Partner with cross-functional teams to support analytics, forecasting, and performance tracking.</li><li>Establish BI best practices and contribute to data governance initiatives.</li><li>Mentor team members and provide technical guidance when needed.</li></ul><p><br></p>
We are looking for a skilled Data Analyst to join our team in Muskego, Wisconsin. In this long-term contract role, you will transform complex datasets into actionable insights that drive operational efficiency and strategic decision-making within a food manufacturing environment. This position offers the opportunity to collaborate with multiple departments, including Operations, Quality Assurance, and Supply Chain, to optimize processes and improve overall performance.<br><br>Responsibilities:<br>• Gather, clean, and analyze data from production systems, quality control databases, and logistics platforms.<br>• Create and maintain dashboards and reports to track key performance indicators like efficiency, downtime, yield, and order fulfillment.<br>• Identify patterns and anomalies in production and quality data to support continuous improvement initiatives.<br>• Work closely with supply chain and operations teams to forecast demand, manage inventory, and enhance production scheduling.<br>• Design and implement data models and automated pipelines to ensure timely and accurate reporting.<br>• Deliver analytical insights and actionable recommendations to leadership for operational and cost improvements.<br>• Ensure data security, integrity, and compliance with industry regulations and company policies.<br>• Perform ad-hoc analyses related to product performance, ingredient costs, and process enhancements.
<p>We are seeking an innovative <strong>AI Engineer</strong> to design, develop, and deploy artificial intelligence solutions that drive business transformation. This role involves working with machine learning models, natural language processing, and automation technologies to solve complex problems and enhance operational efficiency. The ideal candidate is passionate about AI, has strong programming skills, and thrives in a collaborative environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement AI and machine learning models for business applications.</li><li>Develop algorithms for predictive analytics, NLP, and computer vision.</li><li>Collaborate with data scientists and engineers to integrate AI solutions into existing systems.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Conduct research on emerging AI technologies and recommend innovative solutions.</li><li>Ensure compliance with data privacy and security standards.</li><li>Document processes, models, and workflows for future reference.</li></ul><p><br></p><p><br></p><p><br></p>
<p>Our client is seeking a <strong>Lead Engineer / Senior Lead Engineer</strong> to join their technology and systems team. This role sits at the intersection of <strong>technology, operations, and investment strategy</strong>, and will directly influence how the company manages and grows its portfolio.</p><p><br></p><p>Unlike traditional engineering roles, this position is <strong>deeply embedded with business teams</strong>—you’ll work side-by-side with Asset Management, Property Operations, and Construction leaders to design and deploy tools that directly improve operational performance and financial outcomes.</p><p>This is a <strong>hands-on builder role</strong> for someone who thrives on turning complex business needs into real, usable software solutions. You’ll write code, automate workflows, integrate data systems, and build analytics dashboards—all while collaborating closely with executives and operational leaders.</p><p>The company operates a large, vertically integrated portfolio across the Western U.S. and partners with major institutional investors. Its culture emphasizes <strong>teamwork, integrity, innovation, and excellence</strong>—valuing individuals who take ownership and drive measurable impact.</p><p><br></p><p><strong>Primary Responsibilities</strong></p><ul><li><strong>Partner with business teams:</strong> Collaborate directly with property management, asset management, and finance teams to identify pain points, inefficiencies, and opportunities for automation.</li><li><strong>Rapid prototyping & deployment:</strong> Design and deliver data tools, dashboards, and automations that drive immediate results.</li><li><strong>Systems integration:</strong> Connect and streamline workflows across platforms such as Yardi, Zendesk, Palantir Foundry, Excel/Sheets, and internal databases.</li><li><strong>Operational analytics:</strong> Develop analytical models to support forecasting, expense tracking, and portfolio performance analysis.</li><li><strong>AI & automation:</strong> Implement AI-based tools to optimize leasing, maintenance, and communication workflows.</li><li><strong>Measure business impact:</strong> Quantify improvements in efficiency, cost reduction, and performance resulting from technical solutions.</li><li><strong>Cross-functional collaboration:</strong> Translate between business and technical teams to ensure that solutions are practical, scalable, and aligned with business goals.</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>On behalf of our well-established client in the financial industry, Robert Half Talent Solutions, Technology Division is seeking a <strong>Senior Data Engineer</strong> with exceptional Python skills to lead and support a high-performing data team. This role is ideal for someone who thrives in a collaborative environment, enjoys mentoring others, and is passionate about building scalable data solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Python Leadership:</strong> Serve as the Python expert on the team, coaching and mentoring junior developers and data scientists.</li><li><strong>Fraud Engine Development:</strong> Design and implement a robust engine to identify and retribute fraudulent activity using advanced data techniques.</li><li><strong>Data Wrangling:</strong> Clean, transform, and prepare large datasets for analysis and modeling.</li><li><strong>Model Building:</strong> Collaborate with data scientists to build and deploy machine learning models within Databricks.</li><li><strong>ETL Pipeline Development:</strong> Design and maintain scalable ETL pipelines to support data ingestion and transformation.</li><li><strong>Azure Functions:</strong> Develop and deploy serverless functions to automate data workflows and support real-time processing.</li><li><strong>Databricks Architecture:</strong> Leverage Databricks for data engineering and machine learning workflows, ensuring best practices in architecture and performance.</li></ul><p><br></p><p><br></p><p><br></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.
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.
