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180 results for Data Scientist jobs

Business Analytics/Data Analyst

Trafford, PA
onsite
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for an experienced Epicor Kinetic Consultant to support manufacturing scheduling and operational reporting initiatives. This Long-term Contract position is ideal for someone with hands-on expertise in Epicor Kinetic within a job shop environment and a strong understanding of how scheduling data drives production performance. The role will focus on improving scheduling structure, building meaningful dashboards, and delivering insights that help teams manage capacity, materials, and priorities effectively. Responsibilities:• Lead the setup and optimization of Epicor Kinetic scheduling practices for a manufacturing job shop environment.• Evaluate how jobs are structured to improve scheduling accuracy, production flow, and operational efficiency.• Configure and assess key scheduling inputs such as resources, material availability, subcontract timing, staffing levels, and working calendars.• Analyze critical path, margin impact, and supply-versus-demand factors to help establish practical production priorities.• Partner with stakeholders on-site over an extended period to support scheduling adoption, process alignment, and ongoing performance improvements.• Design custom dashboards and reporting tools in Kinetic to provide clear visibility into production status, constraints, and business metrics.• Perform data analysis to identify scheduling bottlenecks, inventory impacts, and lead-time risks across manufacturing operations.• Support database update activities and data migration tasks using designated tools when required.
2026-06-08T00:00:00Z

Data Engineer III

San Ramon, CA
remote
Permanent / Full Time
104000 - 153000 USD / Yearly
Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department. Solution Design & Technical Leadership<ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul>Data Infrastructure & Platform<ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul>Data Quality, Governance & Collaboration<ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul>
2026-06-11T00:00:00Z

Database Engineer

Irvine, CA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Database Engineer to support the performance, stability, and scalability of a modern data platform in Irvine, California. This role focuses on building dependable data pipelines, improving platform operations, and ensuring data assets remain governed, accessible, and cost-efficient in a production environment. The ideal candidate brings strong hands-on experience with Databricks, Spark, Python, SQL, and SQL Server, along with the ability to troubleshoot issues across orchestration, storage, and source system connectivity. Responsibilities: • Oversee daily health and uptime of Databricks pipelines, job schedules, compute resources, Delta Lake datasets, and warehouse environments to maintain consistent platform performance. • Design, build, and refine Spark-based data processing workflows in Databricks notebooks across bronze, silver, and gold layers, including incremental ingestion patterns using Auto Loader and streaming frameworks when needed. • Support and enhance workflow orchestration through Databricks Workflows and Apache Airflow, with attention to data delivery timelines, reliability targets, and operational continuity. • Administer data governance controls in Unity Catalog by managing schemas, permissions, lineage visibility, and catalog structures within a regulated environment. • Maintain and optimize Microsoft SQL Server databases used as source and downstream data stores, improving query execution, indexing strategy, schema organization, and overall system efficiency. • Track compute utilization and platform spend by implementing monitoring, alerting, and resource tuning practices that improve predictability and cost control. • Investigate and resolve end-to-end production issues involving failed jobs, data validation concerns, evolving schemas, and connectivity or authentication problems with upstream systems. • Contribute to shared operational ownership by creating documentation, runbooks, and support procedures that strengthen team coverage and reduce dependency on any one individual. • Produce clear technical documentation for pipeline design, platform operations, and maintenance practices to support long-term scalability and team collaboration.
2026-06-10T00:00:00Z

Business Intelligence and Data Analyst

Boston, MA
remote
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Business Intelligence and Data Analyst to join a collaborative analytics team supporting enterprise performance initiatives in Boston, Massachusetts. In this role, you will work closely with data engineering and business stakeholders to turn complex operational information into clear, actionable reporting. This position is ideal for an early-career analyst who enjoys building dashboards, improving reporting accuracy, and helping leaders make informed decisions through data. Responsibilities: • Create and refine Power BI dashboards and recurring reports that give teams clear visibility into performance trends and operational results. • Analyze large and varied datasets to uncover meaningful patterns, explain performance drivers, and support business decision-making. • Partner with data engineers and cross-functional teams to gather reporting needs, validate data sources, and improve the reliability of analytics outputs. • Maintain, update, and enhance existing business intelligence solutions to ensure reporting remains accurate, relevant, and easy to use. • Deliver both scheduled reporting and ad hoc analysis to help leadership monitor priorities and respond to emerging business questions. • Develop and track key performance indicators that measure outcomes across departments and highlight opportunities for improvement. • Present findings in a concise, business-friendly way so that both technical and non-technical stakeholders can act on the insights provided. • Support broader analytics adoption by helping users understand reporting tools, metrics, and dashboard functionality. • Contribute to technical assessments and problem-solving efforts related to reporting processes, data quality, and dashboard performance.
2026-06-03T00:00:00Z

Senior Data Analytics Engineer

Herndon, VA
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Senior Data Analytics Engineer to help shape and scale modern data capabilities for a real estate and property organization in Reston, Virginia. This role focuses on designing reliable data pipelines, structuring analytical datasets, and enabling high-quality reporting and advanced insights across the business. The ideal candidate brings strong engineering depth, practical analytics expertise, and the ability to turn business needs into well-architected data solutions. Responsibilities: • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use. • Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform. • Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs. • Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows. • Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions. • Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage. • Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git. • Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases.
2026-06-02T00:00:00Z

Data Analyst 1 (0-2 years)

Chicago, IL
remote
Temporary / Contract
32 - 37 USD / Hourly
We are looking for a motivated early-career Data Analyst to support utility and sustainability-related data work for a long-term contract opportunity based in Chicago, Illinois. This position is ideal for an entry-level candidate or a detail-oriented individual who enjoys organizing complex information, improving data quality, and turning numbers into practical business insight. You will work closely with finance, real estate, and sustainability partners to help monitor utility spending, strengthen reporting accuracy, and support informed decision-making in a hybrid environment with three in-office days each week. Responsibilities: • Review and maintain large volumes of utility data, including invoices for services such as electricity, gas, water, and waste, to help ensure records are complete and accurate. • Examine billing information against agreements and supporting documents to identify discrepancies, support reconciliations, and promote cost control. • Clean, standardize, and organize data from multiple sources so it can be used reliably for tracking, analysis, and reporting. • Assist with dashboards, summaries, and visual reports that present findings clearly to finance, real estate, sustainability, and leadership stakeholders. • Prepare data for sustainability-related reporting, including utility consumption, emissions tracking, and other environmental performance measures. • Document data sources, assumptions, and review steps to strengthen auditability, consistency, and internal controls. • Partner with internal teams as well as outside vendors or utility providers to resolve data questions and improve reporting quality. • Contribute to process improvements in invoice handling, data validation, and recurring analysis to make reporting more efficient over time.
2026-06-09T00:00:00Z

Data/Information Architect

New York, NY
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights. Responsibilities: • Develop and maintain enterprise data models that support analytics, reporting, and operational needs. • Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements. • Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance. • Collaborate with stakeholders to gather data requirements and ensure business objectives are met. • Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments. • Establish governance processes, including metadata management, data lineage, and quality assurance protocols. • Define and manage canonical data models across key business domains to ensure consistency. • Document and enforce data modeling standards to drive adoption across engineering teams. • Assess and enhance existing data models, identifying areas for improvement in performance and alignment. • Provide strategic guidance on data management tools and technologies to support organizational goals.
2026-06-11T00:00:00Z

Data/Information Architect

Richardson, TX
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
We are looking for a Data/Information Architect to lead the design of advanced AI and data solutions that support strategic business goals in Richardson, Texas. This role blends architecture leadership with hands-on experimentation, requiring someone who can translate complex business needs into scalable technical approaches. The ideal candidate will assess emerging technologies, shape future-state architecture, and guide teams in bringing practical AI and machine learning capabilities into enterprise environments. Responsibilities: • Partner with business stakeholders and technical teams to define high-value AI and machine learning use cases and shape solution approaches that align with organizational objectives. • Design enterprise architecture for intelligent systems spanning machine learning, generative AI, deep learning, virtual assistants, and cognitive technologies such as image and language processing. • Produce target-state architecture artifacts and validate proposed designs through prototypes, pilot solutions, and minimum viable products. • Review external platforms, tools, and vendor offerings in the AI/ML landscape and recommend options based on business fit, technical readiness, and long-term value. • Contribute to strategic roadmaps covering AI, machine learning, advanced analytics, large language models, agent-based solutions, computer vision, data platforms, and event-driven processing. • Stay current with industry advancements by continuously researching emerging practices, frameworks, and architectural patterns across AI and cloud-native technologies. • Build proof-of-concept solutions quickly and independently to test models, algorithms, and technical approaches against real business challenges. • Prepare and analyze data for experimentation by scripting data discovery, cleansing, transformation, and feature development activities across varied datasets. • Support engineering and data science teams with architectural guidance for deploying, integrating, and operationalizing AI/ML capabilities within enterprise applications and workflows.
2026-06-10T00:00:00Z

Data Administrator

Providence, RI
onsite
Temporary / Contract
21 - 23 USD / Hourly
We are looking for a detail-oriented Data Administrator to support daily real estate administrative operations in Warwick, Rhode Island. This Long-term Contract position focuses on maintaining accurate transaction records, coordinating documentation from sales agreement through closing, and providing dependable assistance to a growing organization. The ideal candidate is comfortable working with data, highly organized, and confident using computer systems to keep information current and accessible. Responsibilities: • Enter, update, and organize transaction data related to real estate files with a high level of accuracy. • Maintain documentation throughout the lifecycle of each sale, ensuring records are complete from agreement stage through closing. • Provide administrative support to office staff by assisting with file organization, information tracking, and routine coordination needs. • Monitor and manage real estate records so documents can be easily retrieved and reviewed when needed. • Order and replenish office supplies through approved vendors to help maintain daily business operations. • Review entered information for completeness and correct discrepancies to support reliable recordkeeping. • Assist with general clerical and data-focused tasks that help the office run efficiently as business needs grow.
2026-06-12T00:00:00Z

Sr. Python Data Engineer

Boston, MA
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Data Engineer (Python / AWS)Location: Remote (Northeast / Greater Boston area preferred)Type: Full-TimeLevel: Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site. What You’ll Do<ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul>
2026-06-09T00:00:00Z

Data Visualization

Morristown, NJ
onsite
Temporary to Hire
59.375 - 68.75 USD / Hourly
We are looking for a detail-oriented Data Visualization specialist to join a healthcare-focused organization in New Jersey. This contract-to-permanent opportunity is ideal for someone who can turn complex data into clear, actionable reporting that supports operational and strategic decisions. The role combines dashboard development, data modeling, and close collaboration with business and technical teams to deliver reliable, user-friendly analytics solutions. Responsibilities: • Create intuitive dashboards, reports, and visual analytics that highlight performance measures, patterns, and business insights for stakeholders • Work closely with business partners, analysts, and data teams to define reporting needs and convert key questions into effective visual solutions • Determine the best charting methods, layout approaches, and presentation techniques based on data structure and audience needs • Integrate reporting and visualization platforms with enterprise data sources such as cloud environments, relational systems, APIs, and flat-file inputs • Develop and refine data models, semantic structures, and calculated measures to support accurate and efficient reporting • Apply strong visualization design standards with attention to usability, accessibility, formatting, color usage, and information flow • Maintain consistent reporting practices by developing templates, style standards, and reusable visual components across the BI environment • Improve dashboard responsiveness and scalability through query optimization, data design improvements, caching methods, and efficient loading strategies • Partner with data engineers and modelers to identify data reliability concerns and ensure reporting is built on trusted, documented datasets • Produce enablement materials such as documentation, user guides, training content, and repeatable templates to support self-service analytics adoption
2026-06-10T00:00:00Z

Enterprise Data Analytics Engineer

Boston, MA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making. Responsibilities:• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
2026-06-03T00:00:00Z

Senior Data Engineer

Greenwich, CT
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to strengthen our data ecosystem in Greenwich, Connecticut. This role will drive the development of reliable, scalable data pipelines, reporting capabilities, and platform enhancements that support critical business operations. The ideal candidate brings deep expertise in Microsoft-based data environments, strong SQL and ETL skills, and a practical approach to solving complex integration challenges. Responsibilities: • Build, enhance, and tune data pipelines, integration workflows, and core data platforms to support scalable and dependable information delivery. • Translate business needs into technical solutions by partnering with internal teams and external vendors on data integration, reporting, and analytics initiatives. • Create and implement automated processes that reduce manual effort, improve accuracy, and increase operational efficiency across data-related functions. • Oversee production data jobs, investigate failures, resolve high-priority issues, and participate in after-hours support when needed. • Produce technical design documents, process specifications, and operational documentation to promote consistency, maintainability, and knowledge sharing. • Develop and deploy reporting and dashboard solutions that improve visibility into business performance while maintaining appropriate access controls and data security. • Lead the ongoing improvement of database and integration performance, with attention to scalability, reliability, and long-term platform stability. • Contribute to cloud-oriented data engineering efforts, including support for modernization initiatives involving services such as Azure-based platforms. • Support application and data connectivity by implementing and maintaining API-based integrations where required.
2026-05-27T00:00:00Z

Senior Data Engineer

Boston, MA
remote
Permanent / Full Time
130000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment. Responsibilities: • Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use. • Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture. • Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights. • Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams. • Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows. • Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability. • Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
2026-06-03T00:00:00Z

AI Data Analyst

Hartland, WI
onsite
Permanent / Full Time
110000 - 140000 USD / Yearly
We are looking for an AI Data Analyst to join our team in Greater Milwaukee. In this role, you will turn business challenges into practical data, automation, and AI solutions that improve daily operations and support stronger decision-making. You will work closely with internal stakeholders to evaluate processes, uncover meaningful insights, and deliver scalable tools that align technology with organizational goals. This role requires the candidate to be onsite, with a hybrid schedule. Responsibilities:• Create and launch AI-enabled processes, tools, and agents that streamline operational activities and improve team productivity.• Develop and support connections between internal applications and third-party platforms using APIs, data flows, and related integration methods.• Evaluate business and operational data to surface patterns, identify gaps, and recommend opportunities for process improvement.• Produce dashboards, reporting assets, and analytical tools that help teams monitor performance and make informed decisions.• Partner with stakeholders across the organization to gather requirements, define success measures, and convert business needs into technical solutions.• Test, refine, and deploy solutions in real-world environments, making ongoing enhancements based on user feedback and results.• Investigate and resolve issues involving systems, workflows, and integrations to maintain reliable performance.• Promote sound practices for data quality, governance, security, and long-term scalability across tools and workflows.• Build a strong understanding of company operations, systems, and industry-specific processes to ensure solutions are accurate and relevant.
2026-06-01T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
180000 - 210000 USD / Yearly
We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance. Responsibilities: • Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use. • Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management. • Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog. • Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows. • Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content. • Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents. • Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations. • Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications. • Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs. • Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
2026-06-11T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 260000 USD / Yearly
RESPONSIBILITIES: ML Model Deployment & Platform Management • Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints. • Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments. • Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance. • Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines. Generative AI & LLM Operations • Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents. • Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance. • Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications. • Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy. • Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution. Automation & CI/CD Pipelines • Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles. • Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools. • Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
2026-06-11T00:00:00Z

Head of Data Science & Analytics (DTC Exp Required)

Fort Lee, NJ
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals. Primary Responsibilities:<ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul>
2026-05-22T00:00:00Z

Sr Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We’re seeking a Data Engineer with strong Databricks and Azure experience.Key Responsibilities:<ul><li>Build and maintain data pipelines</li><li>Work with large-scale data processing frameworks</li><li>Optimize data flows and storage solutions</li></ul>
2026-05-29T00:00:00Z

Sr Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We’re hiring a Data Engineer to support AI and analytics initiatives by building scalable data pipelines and enabling machine learning workflows.Key Responsibilities:<ul><li>Design and maintain data pipelines and ETL processes</li><li>Work with large datasets to support AI/ML model training</li><li>Build and optimize data architectures (data lakes, warehouses)</li><li>Collaborate with data scientists on feature engineering and model deployment</li><li>Ensure data quality, governance, and performance optimization</li><li>Integrate cloud-based data services (Azure Data Factory, Databricks)</li></ul>
2026-05-29T00:00:00Z

Data Security Analyst

Chicago, IL
onsite
Temporary / Contract
79.1635 - 91.663 USD / Hourly
We are looking for a Data Security Analyst to support and strengthen email and messaging security operations for a Contract position based in Chicago, Illinois. This role focuses on protecting the organization from phishing, malware, impersonation, and other email-borne threats while improving the reliability and security of mail delivery. The ideal candidate brings deep experience with Proofpoint, hybrid messaging environments, and user-focused security practices, along with the ability to communicate clearly across technical and non-technical teams. Responsibilities: • Investigate and resolve complex email security and delivery issues, including routing failures, encryption challenges, quarantine events, and user-reported security concerns. • Review dashboards, system logs, and alert activity to identify and respond to phishing attempts, malware incidents, spoofing, and impersonation threats. • Administer and optimize Proofpoint Essentials and related integrations to maintain strong protection across the messaging environment. • Configure and maintain email security controls, including encryption settings, policy rules, and quarantine management processes. • Lead initiatives involving Proofpoint enhancements, platform updates, and rollout of new security capabilities. • Develop clear guidance and training materials for IT teams and end users on secure email practices and available protection tools. • Support security awareness efforts by helping manage phishing simulation activities and user education programs. • Collaborate with broader security operations by connecting email security insights with SIEM platforms and other enterprise security tools where applicable.
2026-06-12T00:00:00Z

.Net/SQL Healthcare Data Analyst

Sarasota, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a skilled .Net/SQL Healthcare Data Analyst to join our team in Sarasota, Florida. This role is ideal for someone with a strong background in healthcare analytics and technical expertise in Python scripting, SQL Server, and reporting tools. The successful candidate will play a key role in analyzing data, gathering requirements, and supporting various IT functions. Responsibilities: • Analyze healthcare data to identify trends, insights, and actionable solutions. • Develop and maintain SQL Server databases and ensure their optimal performance. • Create and manage reports using SQL Server Reporting Services (SSRS). • Collaborate with stakeholders to gather and document technical and business requirements. • Write Python scripts to automate data processing and reporting tasks. • Provide IT support across multiple functions, ensuring seamless operations. • Work with HL7 standards to process and integrate healthcare data effectively. • Conduct quality assurance checks to ensure data accuracy and reliability. • Support cross-functional teams with data-driven insights and technical expertise.
2026-05-27T00:00:00Z

Data Strategy and Governance Specialist

New York, NY
onsite
Permanent / Full Time
169400 - 194400 USD / Yearly
We are looking for a Data Strategy and Governance Specialist to help strengthen enterprise-wide data practices in New York, New York. This role will guide the development of practical governance standards, foster collaboration across business and technical teams, and support a more consistent approach to managing information assets. The ideal candidate brings strong communication and change leadership skills, along with experience turning governance concepts into workable processes in evolving organizations. Responsibilities: • Partner with stakeholders across departments to establish data governance practices and encourage consistent adoption without relying on direct authority. • Lead workshops and working sessions that align business and technical teams on policies, ownership, and stewardship expectations for critical data assets. • Develop and refine standards related to data classification, retention, lifecycle management, and responsible information use across the organization. • Analyze recurring data quality concerns, identify underlying trends, and recommend practical corrective actions that improve trust in enterprise data. • Support the use and optimization of tools within the Microsoft ecosystem, including SharePoint and Microsoft 365, with exposure to Microsoft Purview where applicable. • Translate complex governance, privacy, and technical topics into clear guidance tailored to executives, operational teams, and other stakeholder groups. • Drive incremental change by introducing governance structures in environments where formal processes may be limited or still maturing. • Contribute to reporting and insight development using business intelligence platforms such as Power BI or Tableau to monitor governance-related outcomes. • Advise on ethical AI and data privacy considerations as part of broader data management and governance efforts.
2026-06-10T00:00:00Z

Digital Analyst

Miami, FL
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Digital Analyst to support commercialization initiatives for food and packaging programs across the Latin America region from Miami, Florida. This contract opportunity is ideal for a detail-oriented individual who can connect marketing goals, operational needs, supplier coordination, and product readiness to help bring new and updated offerings to market successfully. The role works closely with cross-functional partners to ensure solutions meet brand expectations, quality standards, and regional execution requirements. Responsibilities: • Direct the rollout of new and existing menu items and packaging solutions from early planning through market launch across regional business units. • Coordinate with suppliers to review formulations, production readiness, validation activity, and cost objectives to support scalable execution. • Work alongside quality and compliance teams to define product and packaging specifications that align with safety, regulatory, and brand requirements. • Turn business and marketing objectives into practical commercialization plans that can be implemented effectively in restaurant operations. • Lead project timelines, stage-gate progress, and stakeholder communication to keep initiatives moving forward across multiple functions. • Evaluate opportunities to strengthen product quality, improve operational performance, and reduce costs without compromising brand standards. • Support franchise and field teams during launches, transitions, and product updates by helping address execution and readiness needs. • Partner with procurement and supply chain contacts to reduce sourcing risks, prepare backup plans, and respond to potential supply disruptions.
2026-05-15T00:00:00Z

Database Developer

Enka, NC
remote
Permanent / Full Time
100000 - 135000 USD / Yearly
We are looking for a Database Developer to support the design and delivery of software, data, and integration solutions that improve business operations. This role combines application development, database engineering, reporting, and systems connectivity, with a strong emphasis on performance, reliability, and maintainability. The ideal candidate will bring hands-on experience building scalable SQL Server solutions, developing APIs and ETL processes, and partnering with technical teams to modernize enterprise data capabilities. Responsibilities:• Build, enhance, and support custom business applications across web, desktop, and connected platform environments, ensuring dependable performance and long-term maintainability.• Design and refine SQL Server databases by creating effective data models, writing stored procedures and views, improving indexing strategies, and monitoring overall system health and data integrity.• Develop and maintain ETL workflows and data pipelines to move, transform, and prepare information for operational use, analytics, and reporting.• Create reporting and dashboard solutions that deliver clear insights to business stakeholders and support data-driven decision-making.• Develop and document system integrations and APIs, using standardized specifications to promote consistency, validation, and ease of support.• Maintain reliable connectivity between enterprise systems and industrial automation platforms, enabling accurate real-time data exchange across operational environments.• Contribute to enterprise modernization efforts, including support for Dynamics 365-related workflows, integrations, and data processes.• Help implement cloud and low-code technologies such as Power Apps, Power BI, Dataverse, and Microsoft Fabric to strengthen automation, reporting, and unified data management.• Provide technical guidance to less experienced developers while promoting sound coding practices, database standards, and thorough documentation.• Partner with IT leadership to organize development priorities, align project work with business objectives, and uphold cybersecurity controls across applications and databases.
2026-05-15T00:00:00Z

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