194 Results for Data Scientist Jobs in Usa

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Lead Data Engineer

Los Angeles, CA
remote
Permanent / Full Time
175000 - 180000 USD / Yearly
Lead Data Engineer Company Overview A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy. Role Summary The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration. Key Responsibilities<ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
2026-10-09T00:00:00Z

Lead Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
175000 - 185000 USD / Yearly
Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.<ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization's data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>
2026-10-06T00:00:00Z

Senior Data Engineer

Houston, TX
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance. Responsibilities: • Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources. • Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs. • Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks. • Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement. • Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions. • Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency. • Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability. • Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
2026-10-01T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Machine Learning Engineer

Glendale, AZ
onsite
Temporary / Contract
65 - 70 USD / Hourly
Robert Half is working with a client who is looking to hire a Machine Learning Engineer to help operationalize machine learning models as part of a growing enterprise AI program.This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.Responsibilities<ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul>
2026-10-06T00:00:00Z

Data Integration Specialist

Spartanburg, SC
remote
Temporary / Contract
55 - 64 USD / Hourly
We are looking for a Data Integration Specialist to support enterprise data connectivity, reporting, and analytics for a complex Epicor Kinetic environment in Spartanburg, South Carolina. This Long-term Contract position focuses on building dependable data flows, strengthening reporting foundations, and enabling trusted business insights across connected systems. The role partners with cross-functional teams to improve data architecture, maintain secure integrations, and support scalable platforms used for operational and executive decision-making. Responsibilities: • Create, deploy, and support data integrations linking Epicor Kinetic with internal platforms, external applications, and third-party business tools. • Develop and maintain APIs, ETL routines, automated workflows, and data pipelines that ensure consistent and efficient information exchange. • Assist with data migration and synchronization efforts related to system deployments, version upgrades, and acquired business entities. • Track integration performance, troubleshoot failures, and resolve data flow bottlenecks or accuracy issues affecting business operations. • Design and refine data models that provide a reliable foundation for enterprise reporting, analytics, and downstream consumption. • Build and optimize extraction processes from Epicor Kinetic to improve data availability for warehouse, lake, and Fabric-based environments. • Support enterprise data platforms, including Data Warehouse, Microsoft Fabric, and Data Lake solutions, to maintain accessibility and performance. • Prepare and maintain curated datasets used in Power BI dashboards, executive reporting, and operational analysis. • Establish data quality checks, investigate root causes of information issues, and implement corrective actions to improve trust in reporting. • Contribute to master data governance practices and recommend effective integration patterns and data architecture standards.
2026-10-07T00:00:00Z

Data Security Analyst

Minneapolis, MN
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
We are looking for a Data Security Analyst to join a financial services organization in Minneapolis, Minnesota. In this role, you will help shape and uphold enterprise data governance practices, with a strong emphasis on identifying, classifying, and safeguarding unstructured information. This position combines strategic oversight with hands-on responsibility for the security technologies that support data protection and loss prevention efforts. You will work closely with security leadership and cross-functional stakeholders to strengthen compliance, reduce information risk, and improve data handling standards across the business. Responsibilities: • Lead the development and enforcement of data governance frameworks, standards, and controls that support secure information management across the organization. • Oversee initiatives to discover, classify, and protect unstructured data, ensuring sensitive information is handled according to business and regulatory expectations. • Administer and enhance data protection and data loss prevention solutions, including tools such as Varonis or comparable platforms. • Partner with security, compliance, and business teams to assess information risk and implement practical safeguards that reduce exposure. • Establish meaningful security and governance metrics, then monitor and report on performance to support ongoing improvement. • Translate regulatory obligations into operational data security practices and help maintain alignment with applicable compliance requirements. • Support the maintenance and optimization of security monitoring and related controls that contribute to broader enterprise data integrity and protection goals. • Advise stakeholders on policy adherence, secure data usage, and governance best practices to strengthen the organization’s security posture.
2026-10-20T00:00:00Z

Data & Integration Engineer

Mankato, MN
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Data & Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations. Responsibilities: • Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems. • Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange. • Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems. • Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle. • Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs. • Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions. • Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms. • Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
2026-10-08T00:00:00Z

.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.
2026-10-02T00:00:00Z

Director of Data & AI

Glendale, AZ
onsite
Permanent / Full Time
150000 - 200000 USD / Yearly
Robert Half is working with a client who is looking to hire a Director of Data & AI to lead the organization's enterprise data, analytics, and artificial intelligence strategy.This individual will be responsible for building the roadmap, team, governance model, and technology capabilities required to expand the organization's use of data and AI. The Director will work closely with senior technology and business leadership and will oversee several strategic initiatives spanning data modernization, business intelligence, advanced analytics, machine learning, and generative AI.Responsibilities<ul><li>Define and execute the enterprise Data and AI strategy.</li><li>Develop a multi-year roadmap for data platforms, analytics, and AI capabilities.</li><li>Lead Data Engineering, BI, Analytics, Data Science, and AI functions.</li><li>Identify high-value AI and analytics opportunities across business units.</li><li>Establish enterprise standards for data architecture and governance.</li><li>Oversee major cloud data platform and modernization initiatives.</li><li>Build policies and governance processes for responsible AI adoption.</li><li>Manage technology partners, consulting firms, and strategic vendors.</li><li>Develop business cases and investment proposals for Data and AI initiatives.</li><li>Recruit, develop, and lead high-performing technical teams.</li><li>Establish KPIs measuring adoption, business value, data quality, and program performance.</li><li>Present strategy, progress, and recommendations to executive leadership.</li></ul>
2026-10-06T00:00:00Z

Principal Data Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
2026-10-20T00:00:00Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
180000 - 225000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front. *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-23T00:00:00Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
225000 - 300000 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $225,000 - 300,000 base plus bonus potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
2026-09-23T00:00:00Z

Power BI Data Engineer

Niceville, FL
onsite
Permanent / Full Time
90000 - 120000 USD / Yearly
We are looking for an experienced Power BI Business Intelligence Engineer to join our team in Niceville, Florida. In this role, you will play a vital part in managing and enhancing our reporting and business intelligence platforms to provide actionable insights. Your expertise will drive data analysis, dashboard creation, and the development of solutions that support key business decisions. Responsibilities: • Oversee the company's reporting and business intelligence systems to ensure optimal performance and accuracy. • Develop a deep understanding of the organization's business models, operations, and decision-making processes. • Analyze data architecture and gather requirements from stakeholders to create tailored solutions. • Build and manage data sources, models, and integrations for reporting and analytics purposes. • Design and maintain dashboards and reports using enterprise business intelligence tools. • Facilitate seamless data integration processes to retrieve, transform, and analyze datasets. • Support leadership in creating management information and KPIs to drive data-driven decision-making. • Ensure data quality and integrity across all business intelligence deliverables. • Stay updated with the latest advancements in BI technologies, tools, and practices to recommend improvements. • Document systems and processes comprehensively while adhering to governance, security, and privacy standards.
2026-10-21T00:00:00Z

LIS Data Analyst

Greenville, SC
onsite
Temporary to Hire
40 - 46 USD / Hourly
We are looking for an LIS Data Analyst to support laboratory systems in Greenville, South Carolina. This contract opportunity with permanent potential is ideal for someone who enjoys solving interface issues, maintaining accurate laboratory data configuration, and partnering with operational teams in a healthcare environment. In this individual contributor role, you will focus on the ongoing administration of the laboratory information system, help ensure reliable result delivery, and contribute to system-related improvement efforts. Responsibilities:• Oversee daily support and upkeep of the laboratory information system, including configuration updates, test build maintenance, result setup, and issue resolution.• Manage the laboratory system portion of order and result interfaces, monitor message flow, and investigate failed or delayed transmissions.• Troubleshoot application and interface problems by identifying whether issues originate within the LIS, the connected EHR, or an external vendor platform.• Maintain accurate test catalogs, compendiums, and result code mappings to support reliable laboratory reporting.• Partner with laboratory operations teams on workflows and system-related needs that affect testing and result delivery.• Review HL7 result messaging to identify errors, validate data movement, and support interface stability.• Use SQL queries and analytical methods to research data issues, validate configurations, and support troubleshooting efforts.• Contribute to Beacon-related projects and enhancement work as needed while maintaining strong day-to-day system performance.
2026-10-07T00:00:00Z

Database Developer

Burbank, CA
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Database Developer for a Contract position. This position is remote. This role is ideal for someone who can step into an established ServiceTitan environment, quickly assess issues, and deliver practical solutions with minimal oversight. The successful candidate will combine database expertise, workflow support, and business-focused problem solving to improve system performance, reporting, and operational efficiency. Responsibilities:• Manage and support the day-to-day operation of the ServiceTitan platform, resolving workflow and system issues in an existing environment.• Develop, maintain, and optimize database solutions using Microsoft SQL Server, T-SQL, stored procedures, and ETL processes.• Create reporting tools, dashboards, and data views that help business teams track performance and make informed decisions.• Build and maintain integrations and automation processes using Python, Zapier, and related APIs where needed.• Investigate system errors, data inconsistencies, and process gaps, then implement effective fixes with limited direction.• Partner with stakeholders across departments to understand operational needs and translate them into scalable technical solutions.• Support database management activities including data organization, query performance improvement, and ongoing system reliability.• Contribute to enhancements involving ServiceTitan configurations, cross-platform connectivity, and workflow improvements as business needs evolve.
2026-10-20T00:00:00Z

Database Developer

Lehi, UT
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Staff Database EngineerThis Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.What You'll Do<ul><li>Lead large-scale database migrations involving TB+ datasets, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing Couchbase workloads and determine whether they should remain on Couchbase or migrate to DynamoDB, DocumentDB, or another database platform based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot Couchbase XDCR or comparable replication technologies, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex multi-tenant environments with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within AWS, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support ETL/ELT pipelines feeding Snowflake or similar modern data platforms, including data validation, backfills, recovery, and troubleshooting.</li><li>Use Python and SQL for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of production database incidents, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using Datadog, CloudWatch, Azure Monitor, or similar observability tools.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul>
2026-10-20T00:00:00Z

Business Intelligence (BI) Analyst

Honolulu, HI
onsite
Permanent / Full Time
80000 - 90000 USD / Yearly
We are looking for a Business Intelligence (BI) Analyst to support technology operations and data-driven improvement initiatives in Honolulu, Hawaii. This position works closely with a collaborative IT team to strengthen daily system performance, assist end users, and contribute to long-term infrastructure and reporting enhancements. The ideal candidate is comfortable balancing hands-on technical support with analytical problem-solving and is motivated by opportunities to improve reliability, security, and operational efficiency. Preference will be given to Hawaii residents due to the onsite nature of this role. To apply, please call Melissa Tree at 808.452.0254. Responsibilities:• Provide day-to-day technical assistance for employees by troubleshooting hardware, software, and access-related issues across desktops, thin clients, and mobile devices.• Support the upkeep and configuration of core network and server environments, including switching, firewall administration, wireless connectivity, VPN access, and IP-based infrastructure components.• Administer user identities and permissions within Active Directory and Microsoft 365 environments, ensuring appropriate access, account maintenance, and policy alignment.• Assist with the management of virtualization and backup platforms to help maintain business continuity, system availability, and data protection standards.• Prepare, deploy, refresh, and document end-user devices while overseeing equipment assignments, warranty details, and lifecycle tracking.• Partner with internal teams and external vendors to resolve issues involving business-critical applications, including construction and design software platforms.• Contribute to physical infrastructure maintenance by helping with server room organization, equipment installation, cable management, and retirement of outdated technology assets.• Identify and recommend practical improvements to documentation, security controls, hardware standards, and overall system performance as part of ongoing modernization efforts.
2026-10-13T00:00:00Z

Business Analyst

Deerfield Beach, FL
onsite
Temporary / Contract
35 - 40 USD / Hourly
We are seeking a Business Analyst to support business process improvements, systems analysis, and technology initiatives within a government sector environment. This role works closely with internal departments and stakeholders to gather requirements, improve workflows, support ERP processes, and ensure system solutions meet operational needs.Key Responsibilities:<ul><li>Analyze and interpret business requirements across departments</li><li>Collaborate with stakeholders to ensure solutions meet business and end-user needs</li><li>Lead cross-functional efforts to evaluate and implement new technology and software</li><li>Support business process improvements and information flow optimization</li><li>Maintain ERP workflows that support daily operations</li><li>Coordinate system testing, end-user reviews, and post-implementation support</li><li>Provide user training and technical guidance for new and modified applications</li><li>Create process documentation and assist with change management efforts</li><li>Work with vendors to support application products</li><li>Assist with requirements analysis, validation, and prioritization for new projects</li><li>Stay current on digital trends, software development, and business continuity best practices</li></ul>
2026-10-16T00:00:00Z

Business Analyst

Farmington, CT
remote
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a Business Analyst to support a long-term contract engagement in Farmington, Connecticut. This role will guide requirements definition and solution design for a repair business initiative, working closely with business stakeholders and technical teams to clarify needs, surface process gaps, and translate priorities into actionable plans. The position is ideal for someone who can organize cross-functional discussions, document future-state workflows, and help move the program from design through testing and readiness activities. Responsibilities: • Lead discovery sessions with stakeholders to capture business needs, identify operational pain points, and define desired future-state processes. • Translate business objectives into clear functional requirements, user stories, process flows, and formal documentation for delivery teams. • Coordinate conversations across business, technical, and platform subject matter experts to align solution design decisions. • Perform gap assessments between current workflows and proposed capabilities, highlighting risks, dependencies, and areas requiring clarification. • Support Agile delivery practices by helping manage requirements backlogs, refining scope, and participating in sprint-related ceremonies as needed. • Prepare and maintain business requirement documents and related artifacts to ensure traceability from design through validation. • Plan and support testing activities, including validation of contract creation, time entry data, cost calculations, and invoicing outcomes across connected systems. • Facilitate meetings, track follow-up actions, and communicate decisions, open questions, and status updates to project leadership and delivery teams.
2026-10-15T00:00:00Z

Business Analyst

Laconia, NH
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Love solving business problems with technology? We're looking for a Systems Analyst to help a growing organization get the most out of Microsoft 365, including SharePoint, Teams, OneDrive, Power BI, Power Automate, and more. What you'll do:<ul><li>Improve business processes using Microsoft 365 tools</li><li>Build and support SharePoint sites, workflows, and reports</li><li>Help users work smarter (and spend less time hunting for files!)</li><li>Partner with teams to turn ideas into practical solutions</li></ul>If you're the person everyone calls when Teams, SharePoint, or Power BI can "probably do that," we'd love to talk. 🚀
2026-10-20T00:00:00Z

Business Analyst

Fort Washington, PA
onsite
Temporary / Contract
44 - 49 USD / Hourly
We are looking for a detail-oriented analyst to support quality oversight and speech analytics initiatives for a compliance-focused environment in Fort Washington, Pennsylvania. This Long-term Contract position will partner with business teams to turn call data into actionable insights, strengthen audit readiness, and improve monitoring programs. The role is well suited for someone who combines analytical thinking, strong communication skills, and hands-on experience with reporting tools and post-call review platforms. Responsibilities: • Design and refine speech and keyword searches that help uncover trends, exceptions, and potential compliance concerns within recorded interactions. • Partner with cross-functional stakeholders to evaluate business processes, review audit selections, and recommend practical improvements based on findings. • Lead conversations with managers and operational teams to clarify updates, reinforce expectations, and support adoption of revised procedures. • Produce monitoring results and analytic insights that contribute to training materials and enterprise-wide education efforts. • Maintain organized records and classification structures to support data accuracy, traceability, and dependable system performance. • Prepare recurring and ad hoc reports, assist with workflow reviews, and document observations from quality and compliance audits. • Investigate recurring issues by performing root cause analysis and identifying drivers behind underperforming categories or trends. • Support internal departments with monthly audit activities, audit response coordination, and follow-up actions tied to findings. • Collaborate with analysts on reporting enhancements, dashboard development, and data visualization improvements using tools such as Tableau. • Provide day-to-day guidance to less experienced team members and serve as a knowledgeable resource for analytics and quality-related questions.
2026-10-01T00:00:00Z

Business Analyst

Middlesex County, NJ
onsite
Temporary / Contract
27 - 31.25 USD / Hourly
We are looking for a motivated Business Analyst. This Long-term Contract opportunity is well suited for an early-career candidate who can translate business needs into clear project documentation and help keep cross-functional work on track. The role offers the chance to collaborate with both internal stakeholders and technical partners while contributing to the delivery of customer-focused digital solutions. Responsibilities:• Gather and clarify business needs from stakeholders to help define priorities for eCommerce and digital product work.• Create organized documentation such as user stories, process notes, and project materials that support accurate execution.• Write and maintain Jira tickets with clear acceptance criteria so development teams can move work forward efficiently.• Coordinate communication across business teams, technical resources, and external partners to keep initiatives aligned.• Review workflows and identify gaps, risks, or process improvement opportunities that may affect project outcomes.• Assist Agile Scrum activities by supporting backlog updates, status tracking, and follow-up on action items.• Monitor project details and timelines to help ensure deliverables are completed according to expectations.• Provide document review and business support for digital initiatives, including work connected to operational or platform changes when needed.
2026-10-20T00:00:00Z

Business Analyst

Hialeah, FL
onsite
Temporary / Contract
25.65 - 29.7 USD / Hourly
Ready to take your finance skills into the world of clinical research? Our client, a leading clinical research organization in Miami, is seeking a Budget Analyst to join their team on a contract-to-permanent placement basis. This is an excellent opportunity for a financial detail oriented who enjoys budgeting, financial analysis, Excel, and working cross-functionally — with the potential to transition into a permanent position. What You’ll Do Develop and maintain budgets for clinical research studies and projects Analyze budget vs. actuals, expenses, revenue, and financial performance Prepare forecasts, financial reports, and variance analysis Review study protocols and help determine associated costs Support budget negotiations with sponsors and CROs Monitor study expenses and identify discrepancies or financial risks Assist with invoicing, reconciliations, amendments, and payment tracking Partner with Clinical Research, Finance, Contracts, and Operations teams Maintain accurate financial records and provide reporting to management Clinical Research Experience? That’s a big plus! Experience with clinical trials, research budgets, healthcare, pharmaceutical, CROs, or sponsor contracts is highly preferred — but strong financial professionals with transferable budgeting and analytical experience are encouraged to apply. Why Consider This Opportunity? contract-TO-permanent placement — Start on contract and have the opportunity to transition into a permanent position based on performance and business needs. 📍 Miami, FL Interested? Apply today to learn more!
2026-10-20T00:00:00Z

Business Analyst

Haverhilll, MA
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for an experienced Business/Financial Analyst to support financial and operational performance in Haverhilll, Massachusetts. This role focuses on product costing, inventory analysis, and month-end activities within a manufacturing environment, while partnering closely with sourcing, warehouse, and production teams. The ideal candidate brings strong analytical judgment, communicates financial insights clearly, and helps turn complex data into practical business actions. Responsibilities:• Lead monthly cost simulation activities and annual standard cost updates with a strong focus on accuracy, timing, and issue resolution.• Research costing exceptions and work with cross-functional partners to correct discrepancies and address underlying causes.• Monitor cost improvement initiatives, measure their financial effect, and provide regular updates that keep stakeholders aligned on progress.• Support inventory close processes by reconciling records, posting required entries, and analyzing differences between subledger and general ledger balances.• Review inventory-related costs, including adjustments, scrap, and revaluation impacts, and explain notable variances.• Prepare recurring inventory analyses covering reserves, restricted stock, goods receipts, last-time-buy materials, and month-over-month balance movements.• Identify opportunities to reduce inventory levels through data-driven insight, and contribute to forecasting inventory values and related cost impacts.• Perform standard cost variance analysis, record required accounting entries, and assist with audit requests tied to inventory and costing matters.
2026-10-06T00:00:00Z

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