<p>We are seeking a highly skilled Scientific Data Scientist or Software Engineer with a strong academic foundation and hands-on experience developing scientific software. The ideal candidate combines deep STEM expertise with rigorous coding ability, and has a demonstrated track record of integrating, evaluating, and advancing scientific software systems.</p><p><br></p><p><strong>Technical Skills</strong></p><ul><li><strong>Fluent proficiency in Python</strong> (required).</li><li>Strong ability to design, implement, and maintain <strong>scientific software applications and codebases</strong>—beyond general AI/ML model development.</li><li>Experience contributing to <strong>third-party or open-source scientific software projects</strong>.</li></ul><p><br></p>
<p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models and machine learning algorithms to optimize business processes.</li><li>Collaborate with IT teams to integrate data science solutions into enterprise systems.</li><li>Create dashboards and visualizations to communicate insights effectively.</li><li>Ensure data security, compliance, and governance standards are met.</li></ul><p><br></p>
<p>Our energy trading company is seeking a Data Scientist to join our advanced analytics team. In this role, you will leverage large datasets, leading edge statistical models, and machine learning to build predictive analytics solutions that drive trading strategies, optimize operations, and enhance decision-making. The ideal candidate combines strong data science expertise with commercial awareness of energy markets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and deploy predictive models to forecast pricing, demand, and market trends in energy trading.</li><li>Collaborate with traders, analysts, and IT to identify opportunities for advanced analytics that directly impact trading performance and risk management.</li><li>Gather, clean, and analyze large and complex datasets from multiple sources (market data, weather, IoT, etc.).</li><li>Apply machine learning, deep learning, and time-series analysis to solve business problems and generate actionable insights.</li><li>Communicate findings and recommendations to both technical and non-technical stakeholders through visualizations, reports, and presentations.</li><li>Monitor and evaluate the performance of deployed models, continuously improving methodologies and tools.</li><li>Stay up-to-date with latest developments in data science, energy markets, and trading technologies.</li></ul><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.
<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><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 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.
We are looking for an experienced Data Scientist to join our team in Bloomington, Minnesota. In this long-term contract position, you will leverage your expertise in machine learning and data science to deliver impactful solutions that drive business growth. This role involves blending technical proficiency with strategic thinking to design and implement predictive models, while also serving as a key collaborator with stakeholders across the organization.<br><br>Responsibilities:<br>• Develop and execute machine learning experiments tailored to marketing and sales use cases.<br>• Translate business objectives into actionable data science problems and deliver solutions that create measurable impact.<br>• Collaborate with leadership and stakeholders to articulate and simplify the outputs of machine learning models for non-technical audiences.<br>• Oversee the lifecycle of data science projects using tools such as Google Cloud Vertex AI.<br>• Create reusable data models and pipelines, leveraging dbt to support scalable platform architecture.<br>• Advocate for the adoption of data science practices, showcasing the potential and value of AI-driven insights.<br>• Monitor model performance and optimize data usage to balance accuracy and operational costs within the Google Cloud environment.
We are looking for a skilled Database Technology Manager to lead and oversee data management and analytics initiatives. This role requires a balance of technical expertise and leadership to drive innovation and ensure data-driven decision-making across the organization. Based in New York, New York, you will play a critical role in managing advanced database technologies and fostering collaboration between technical and business teams.<br><br>Responsibilities:<br>• Lead the development and implementation of advanced database solutions to meet organizational goals.<br>• Manage and optimize data analytics tools, including Tableau and Microsoft SQL Server, to ensure seamless operations.<br>• Collaborate with cross-functional teams to gather requirements and deliver actionable insights through data visualization.<br>• Provide mentorship and training to team members on data analytics tools and methodologies.<br>• Develop and maintain data governance standards to ensure data security and compliance.<br>• Oversee the creation of compelling visual narratives to communicate data insights effectively to stakeholders.<br>• Drive innovation by identifying opportunities for process improvements and new data solutions.<br>• Stay updated on the latest advancements in database technologies and data science to apply best practices.<br>• Support the design and maintenance of data pipelines and engineering systems.<br>• Collaborate on Agile-based projects to ensure timely and efficient delivery of data-related initiatives.
<p><strong>Position Overview:</strong></p><p>We are seeking a skilled Data Analyst with robust expertise in SQL and Power BI to join our team. In this role, you will work with cross-functional stakeholders to transform raw data into actionable business insights. The ideal candidate is a problem solver who is comfortable working with large datasets, optimizing queries, and building compelling visualizations and dashboards.</p><p><strong>Responsibilities:</strong></p><ul><li>Extract, clean, and manipulate data from multiple sources using advanced SQL queries.</li><li>Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.</li><li>Collaborate with stakeholders to understand business needs and translate requirements into analytics solutions.</li><li>Analyze trends, identify opportunities, and present findings in a clear, concise manner.</li><li>Ensure data integrity and accuracy across reporting processes.</li><li>Support data-driven process improvements and automation initiatives.</li><li>Document analytic processes, data models, and technical steps.</li></ul><p><br></p>
We are looking for a highly experienced Lead Artificial Intelligence (AI) Engineer to spearhead the development and implementation of cutting-edge AI and Machine Learning solutions within our organization. This role is integral to driving innovation, optimizing operational processes, and delivering impactful business outcomes across various projects. As a senior technical expert, you will collaborate with cross-functional teams to design scalable systems, set technical standards, and mentor emerging talent in AI engineering.<br><br>Responsibilities:<br>• Design, develop, and deploy production-ready AI and machine learning solutions tailored to renewable energy planning, construction optimization, and risk management.<br>• Establish and enforce technical standards for AI/ML development, MLOps pipelines, and the management of model lifecycles.<br>• Collaborate with IT and data teams to ensure AI systems are secure, scalable, and seamlessly integrated into the enterprise environment.<br>• Work closely with business stakeholders to translate strategic goals into practical AI applications that drive measurable results.<br>• Lead initiatives to explore and implement generative AI, predictive analytics, and optimization technologies to enhance forecasting and operational efficiency.<br>• Mentor and guide technical teams, fostering knowledge-sharing and the adoption of best practices in AI development.<br>• Evaluate emerging AI tools and technologies to ensure the organization remains at the forefront of innovation.<br>• Oversee the deployment and scaling of AI models in production environments, ensuring performance and reliability.<br>• Drive the development of automation solutions using AI to streamline processes and improve productivity.<br>• Collaborate with partners and vendors to integrate AI solutions effectively into existing systems.
<p>We are looking for a skilled Data Reporting Analyst to join our team on a contract to perm in Austin, Texas. In this role, you will play a critical part in managing databases, generating compliance reports, and ensuring the accuracy of data analysis. Your expertise will support the creation of dashboards and reporting tools that drive efficient decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Manage and oversee Access databases to ensure proper functionality and data integrity.</p><p>• Develop detailed compliance reports using Power BI, Excel, and specialized tools.</p><p>• Collaborate with the technology team to configure and optimize automation systems.</p><p>• Lead data collection efforts for field reporting and act as a project manager for related initiatives.</p><p>• Conduct training sessions to familiarize stakeholders with system functionalities and reporting tools.</p><p>• Create dashboards to monitor compliance standards and identify areas needing corrective actions.</p><p>• Perform regular audits on databases to maintain data accuracy and reliability.</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>
We are looking for a highly skilled Database Developer to join our team in Columbia, South Carolina. This position focuses on creating and optimizing Tableau-based solutions to enhance the analytical capabilities of the university's enterprise platform. The role involves close collaboration with data scientists, analysts, and IT professionals to deliver impactful insights that support strategic decision-making.<br><br>Responsibilities:<br>• Create dynamic and visually engaging Tableau dashboards tailored to meet diverse reporting needs.<br>• Develop complex calculations, parameters, and data blends to ensure robust data visualization.<br>• Optimize Tableau workbooks for enhanced performance, scalability, and user experience.<br>• Implement security protocols, including role-based access controls for Tableau content.<br>• Analyze data requirements and integrate information from multiple sources to produce accurate reports.<br>• Ensure data integrity through rigorous validation and testing procedures.<br>• Work closely with stakeholders to gather requirements and translate them into actionable technical solutions.<br>• Present dashboards to users, gather feedback, and refine deliverables as necessary.<br>• Monitor and troubleshoot Tableau Server performance, resolving issues to maintain system reliability.<br>• Stay informed on Tableau advancements and recommend innovative enhancements to the analytics platform.
<p>We are looking for an experienced Azure Data Engineer to join our team and play a key role in designing, building, and maintaining scalable data solutions. This position is responsible for developing robust data pipelines, optimizing data workflows, and leveraging the Microsoft Azure ecosystem to deliver high-quality, business-ready data.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Databricks, Synapse Analytics, and related Azure services.</li><li>Build and optimize data architectures (data lakes, data warehouses) to support analytics, reporting, and machine learning initiatives.</li><li>Collaborate with data analysts, scientists, and business stakeholders to gather requirements and deliver reliable data solutions.</li><li>Manage data security, privacy, and compliance in line with best practices and company policies.</li><li>Monitor, troubleshoot, and optimize data workflows to ensure scalable and efficient performance.</li><li>Document data schemas, data lineage, and engineering processes.</li><li>Stay up to date with advancements in the Azure platform and recommend new tools or methods to continuously improve our data infrastructure.</li></ul><p><br></p>
We are looking for a talented Copywriter to join our team on a contract basis in Fort Worth, Texas. In this role, you will craft compelling and audience-focused content tailored for physician audiences, while maintaining brand consistency and clarity. This position offers the opportunity to collaborate with technical experts and creative teams, ensuring innovative and compliant messaging across various platforms.<br><br>Responsibilities:<br>• Develop engaging content that aligns with brand identity and messaging for web, digital, social, print, video, and event communications.<br>• Simplify complex medical and engineering concepts into clear, audience-focused copy in collaboration with design, digital, and product teams.<br>• Edit and enhance copy from other writers and agencies, ensuring consistency, clarity, and adherence to established communication standards.<br>• Collaborate with design, digital strategy, and product teams to optimize the delivery of content across multiple channels.<br>• Advocate for and maintain brand voice, ensuring uniformity across all communication touchpoints.<br>• Contribute innovative ideas and storytelling approaches to support campaign strategies and creative problem-solving.<br>• Adapt creative content to meet specific legal, regulatory, or technical requirements, balancing compliance with creativity.
<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>
<p><strong>Information Systems Analyst (Contract)</strong></p><p><strong>Location:</strong> REMOTE (EST OR CST) </p><p><strong>Employment Type:</strong> 52 Week Contract</p><p><strong>About the Role</strong></p><p>We are seeking an <strong>Information Systems Analyst</strong> for a project-based role focused on delivering innovative IT solutions through new and existing applications, systems architecture, and infrastructure. This position involves reviewing system requirements, analyzing business processes, and implementing technology solutions that meet organizational needs. The ideal candidate will work independently, applying professional judgment and technical expertise to design, code, test, and deploy software solutions.</p><p><strong>nKey Responsibilities</strong></p><ul><li>Modify, adapt, and implement short- and long-term IT solutions across applications, systems architecture, and network infrastructure.</li><li>Review system requirements and business processes to develop effective technology solutions.</li><li>Code, test, debug, and implement software applications to meet project objectives.</li><li>Collaborate with cross-functional teams to ensure successful integration and deployment of solutions.</li><li>Apply best practices and previous experience to make sound technical decisions.</li></ul>
Role Description: We're hiring a Data Engineering Manager to lead our analytics engineering <br>team and own the strategy, architecture, and delivery of our data platform. You'll manage two <br>analysts, partner with software engineering on ETL/integration work, and make the technical <br>decisions that shape how the organization consumes data. Your priorities are speed, security, <br>and stability—in that order when they conflict. This role requires initiative and ownership. <br>You'll operate with significant autonomy—identifying problems, developing solutions, and <br>driving them to completion without waiting for direction. We need someone who stays close to <br>the work and leads by example.<br>Roles & Responsibilities:<br>• Manage and develop a team of two data analysts focused on reporting, dashboards, and <br>data modeling<br>• Own schema design, data modeling decisions, and warehouse architecture<br>• Optimize query performance, storage costs, and pipeline reliability<br>• Partner with engineering teams on data integration, ETL processes, and source system <br>changes<br>• Establish and enforce standards for data quality, access controls, and documentation<br>• Evaluate and implement tooling decisions across the data stack<br>• Translate business requirements into scalable, maintainable data solutions<br>• Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary <br>and third-party applications and APIs<br>Qualifications:<br>• Bachelor’s Degree in Computer Science and Engineering or equivalent<br>• 5+ years of experience in data engineering, analytics engineering, or a related technical <br>role<br>• 2+ years of experience managing or technically leading a team<br>• Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake<br>• Advanced SQL skills and solid understanding of data modeling patterns (star schema, <br>normalization tradeoffs, slowly changing dimensions)<br>• Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)<br>• Experience with Salesforce data structures and reporting (SOQL, custom objects, record <br>relationships)<br>• Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)<br>• Background in data governance, PII handling, or compliance requirements<br>• Ability to understand and document business logic, not just technical implementation<br>• Clear communication skills—you'll interface with both engineers and business <br>stakeholder
About the Role: We’re looking for a experienced technical leader to guide a team in delivering end-to-end technology solutions in a dynamic environment. This role requires strong technical leadership, deep expertise in enterprise policy administration systems, and proficiency with mainframe technologies. A working knowledge of SQL and integration tools is also important. You’ll provide technical guidance, influence solution design, and oversee development and implementation efforts for critical business functionality. Key Responsibilities: Lead technology teams and drive successful delivery of complex projects Build strong partnerships with business stakeholders and product owners Ensure effective utilization of IT resources and adherence to service delivery standards Apply technical skills in application development and support while championing process improvements Collaborate with architects and developers to maintain standards and define technical roadmaps Evaluate technology options and recommend solutions that meet business needs Estimate costs and timelines for projects and enhancements Maintain detailed knowledge of key business applications and identify modernization opportunities Oversee application design, configuration, testing, and release management processes Communicate effectively across all organizational levels Operate independently in a complex environment to meet service levels Qualifications: Bachelor’s degree in Computer Science or equivalent experience 10+ years of experience across the full SDLC, including design, maintenance, and enhancement of applications in a mainframe environment (COBOL, JCL, SQL, CICS, DB2, VSAM, etc.) Experience leading product or project development teams on enterprise policy administration platforms preferred Strong leadership skills with the ability to influence and collaborate in a matrixed organization
<p><strong>About the Role:</strong></p><p>We’re looking for a hands-on, seasoned technical leader to guide a team in delivering end-to-end technology solutions in a dynamic environment. This role requires strong technical leadership, deep expertise in enterprise policy administration systems, and proficiency with mainframe technologies. A working knowledge of SQL and integration tools is also important. You’ll provide technical guidance, influence solution design, and oversee development and implementation efforts for critical business functionality.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead technology teams and drive successful delivery of complex projects</li><li>Build strong partnerships with business stakeholders and product owners</li><li>Ensure effective utilization of resources and adherence to service delivery standards</li><li>Apply technical skills in application development and support while championing process improvements</li><li>Collaborate with architects and developers to maintain standards and define technical roadmaps</li><li>Evaluate technology options and recommend solutions that meet business needs</li><li>Estimate costs and timelines for projects and enhancements</li><li>Maintain detailed knowledge of key business applications and identify modernization opportunities</li><li>Oversee application design, configuration, testing, and release management processes</li><li>Communicate effectively across all organizational levels</li><li>Operate independently in a complex environment to meet service levels</li></ul><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science or equivalent experience</li><li>10+ years of experience across the full SDLC, including design, maintenance, and enhancement of applications in a mainframe environment </li><li>Experience leading product or project development teams on enterprise policy administration platforms preferred</li><li>Strong leadership skills with the ability to influence and collaborate in a matrixed organization</li></ul><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to hire a <strong>Compliance Database Administrator </strong>(contract)<strong>.</strong> You'll serve as the go-to person regarding database management and will also be responsible for developing real-time compliance regulation reports. <strong>This position sits onsite in Austin, Monday-Friday from 8 AM to 5 PM.</strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Partners with various teams to monitor, track, and report on field testing compliance</li><li>Serves as the main point of contact regarding database management and maintenance</li><li>Pulls and merges data from various databases, including MS Access, to develop detailed, real-time reports</li><li>Supports technology leaders in the implementation of automation tools and developing dashboards</li><li>Acts as a project manager to ensure the timely execution of field corrective action plans</li><li>Assists with administrative tasks, such as file storage and organization</li></ul>
We are looking for a skilled Data Engineer to join our team in San Antonio, Texas. This role offers an opportunity to design, develop, and optimize data solutions that support business operations and strategic decision-making. The ideal candidate will possess a strong technical background, excellent problem-solving skills, and the ability to collaborate effectively across departments.<br><br>Responsibilities:<br>• Develop, maintain, and optimize data pipelines using Azure Synapse Analytics, Microsoft Fabric, and Azure Data Factory.<br>• Implement advanced data modeling techniques and design scalable BI solutions that align with business objectives.<br>• Create and maintain dashboards and reports using Power BI, ensuring data accuracy and usability.<br>• Integrate data from various sources, including APIs and Dataverse, into Azure Data Lake Storage Gen2.<br>• Utilize tools like Delta Lake and Parquet to manage and structure data within a lakehouse architecture.<br>• Define and implement BI governance frameworks to ensure consistent data standards and practices.<br>• Collaborate with cross-functional teams such as Operations, Sales, Engineering, and Accounting to gather requirements and deliver actionable insights.<br>• Troubleshoot, document, and resolve data issues independently while driving continuous improvement initiatives.<br>• Lead or contribute to Agile/Scrum-based projects to deliver high-quality data solutions within deadlines.<br>• Stay updated on emerging technologies and trends to enhance data engineering practices.
<p><strong>Overview:</strong></p><p>Our company is seeking a skilled Data Analyst – Technology to join our dynamic team in St. Louis. The ideal candidate will have a strong analytical background, proficiency with data management tools, and a passion for transforming raw data into actionable insights to drive business decisions.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Collect, clean, and analyze large datasets from multiple sources to identify trends and opportunities.</li><li>Develop and maintain reports, dashboards, and visualizations to support business strategy.</li><li>Work closely with stakeholders across technical and non-technical teams to define requirements and deliver solutions.</li><li>Utilize statistical techniques and predictive modeling to assist with forecasting and problem-solving.</li><li>Ensure data accuracy and consistency through rigorous validation and documentation processes.</li><li>Assist in the development and implementation of data standards and best practices.</li></ul>
<p>We're seeking a Data Engineer to design, build, and optimize data pipelines supporting advanced analytics, AI, and machine learning initiatives for a client in Watertown, MA. This role combines technical expertise with collaboration across IT and business teams to deliver scalable, secure, and impactful data solutions. This role is onsite 4 days a week in Watertown. </p><p><strong>Responsibilities</strong></p><ul><li>Develop and manage data pipelines using Python, SQL Server, Snowflake, and Azure Data Factory.</li><li>Optimize T-SQL code and database structures for performance and reliability.</li><li>Integrate analytics and machine learning outputs into business workflows.</li><li>Ensure compliance with data governance and security standards.</li><li>Collaborate with stakeholders to refine requirements and deliver solutions.</li><li>Support BI tools such as Power BI, Tableau, and SQL Server BI stack.</li></ul><p><br></p>
