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170 results for Data Scientist jobs

Data Analyst

Walnut Creek, CA
remote
Permanent / Full Time
80000 - 95000 USD / Yearly
We are looking for a Data Analyst to support operational teams during a period of rapid expansion by identifying inefficiencies and turning complex workflows into scalable, data-informed processes. This position combines hands-on execution with analytical problem-solving, helping teams improve productivity through automation, reporting, and measurable process improvements. Based in Concord, California, this role works closely with cross-functional stakeholders to uncover savings opportunities, strengthen data reliability, and support smarter business decisions. Responsibilities: • Partner with internal teams to assess day-to-day processes, document workflow patterns, and uncover barriers that slow execution. • Design and implement practical automation solutions that reduce repetitive administrative work and improve operational consistency. • Analyze time, cost, and throughput data to identify inefficiencies and estimate the business value of proposed process enhancements. • Support high-volume operational periods by improving task handoffs, refining process flow, and increasing team capacity. • Create business intelligence dashboards and reporting tools that track performance metrics, productivity trends, and key operational indicators. • Develop data models that enable clear analysis of business performance and support decision-making across departments. • Connect and reconcile information from systems such as Salesforce, NetSuite, and other business platforms to provide a unified reporting view. • Maintain the accuracy and structure of operational datasets so reporting tools and business processes rely on dependable information. • Prepare data-backed recommendations and business cases to help leadership evaluate automation, tooling, and workflow redesign initiatives.
2026-08-31T00:00:00Z

Data Analyst

New Holland, PA
onsite
Permanent / Full Time
100000 - 110000 USD / Yearly
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. Key Responsibilities Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms. Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. Design, develop, and support operational dashboards and reporting solutions using Power BI. Assist with migration of legacy reporting processes to modern business intelligence platforms. Manage datasets, semantic models, report distributions, and reporting governance processes. Collaborate with business leaders to define reporting requirements and establish data standards. Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness. Qualifications Experience within the Property & Casualty insurance industry is required Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. 8+ years of data analytics, data operations, or business intelligence Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. Experience with Microsoft Fabric and Medallion Architecture methodologies. Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements. Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. Experience with Origami and/or DXC Assure Claims is a plus.
2026-09-03T00:00:00Z

Data Analyst

Pinecrest, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Data Analyst We are looking for a Data Analyst to turn raw data into clear, actionable insight. This role builds reports and dashboards, digs into the numbers, and helps stakeholders make better decisions.Responsibilities<ul><li>Write and optimize SQL queries to extract and transform data from multiple sources</li><li>Build and maintain dashboards and reports in Power BI or Tableau</li><li>Analyze trends and deliver findings to business stakeholders</li><li>Partner with departments to gather requirements and define metrics</li><li>Ensure data quality, accuracy, and consistency across reporting</li><li>Document data definitions, sources, and reporting logic</li></ul>
2026-08-24T00:00:00Z

Data Analyst

Atlanta, GA
onsite
Temporary to Hire
35.625 - 45 USD / Hourly
We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization. Responsibilities:• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.• Develop and run database queries to extract, organize, and interpret information from multiple sources.• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.• Work closely with cross-functional teams to support informed decision-making with timely analytical input.• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.
2026-08-21T00:00:00Z

Data Analyst

Moline, IL
onsite
Temporary to Hire
42.75 - 49.5 USD / Hourly
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions. Responsibilities: • Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development. • Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions. • Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable. • Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities. • Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs. • Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability. • Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision. • Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
2026-08-28T00:00:00Z

Data Analyst

Foster City, CA
onsite
Temporary / Contract
42 - 47 USD / Hourly
Our client is seeking a Contract Data Analyst to support a Salesforce modernization project in San Mateo, CA. This hybrid role (1-2 days onsite) will focus heavily on data cleanup, data integrity, and overall data quality as the organization works to enhance and streamline its Salesforce environment. The ideal candidate will have strong experience analyzing, cleansing, and validating large datasets, with a particular emphasis on CRM data and process improvement. This person will partner with business and technical teams to identify data issues, standardize records, and help ensure the success of the Salesforce transformation initiative. Key Responsibilities:<ul><li>Perform data cleanup, deduplication, normalization, and validation within Salesforce and related systems. </li><li>Identify data quality issues, inconsistencies, and gaps, and recommend corrective actions. </li><li>Support data migration, mapping, and integrity checks tied to the Salesforce modernization effort. </li><li>Analyze existing data structures and help establish best practices for ongoing data governance and stewardship.</li><li>Create reports, dashboards, and ad hoc analyses to support project stakeholders and business decision-making. </li><li>Collaborate with cross-functional teams, including business users, IT, and project leadership, to ensure data accuracy and consistency. </li><li>Document data definitions, business rules, and cleanup processes. </li><li>Assist with testing and validation of updated Salesforce workflows, fields, and records. </li></ul>
2026-08-27T00:00:00Z

Data Analyst

Middletown, DE
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions. Responsibilities: • Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications. • Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems. • Analyze current data structures to support imports, exports, migration planning, and process automation opportunities. • Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations. • Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency. • Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders. • Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
2026-08-19T00:00:00Z

Data Analyst

Minneapolis, MN
onsite
Temporary / Contract
45 - 65 USD / Hourly
We are looking for a meticulous Data Analyst to join a manufacturing organization in St. Louis Park, Minnesota on a Long-term Contract assignment. In this role, you will examine complex customer records, verify company connections through research, and create clear account hierarchies that improve data quality and usability. This position is well suited to someone who enjoys investigative analysis, works carefully in Excel, and can bring order to high-volume information with consistency and accuracy. Responsibilities: • Analyze customer data files in Excel to identify organizational relationships and map links between parent companies, subsidiaries, and related entities. • Research publicly available sources to confirm ownership structures, legal relationships, and account alignment across business records. • Build accurate company hierarchies for priority accounts and organize findings into a format that supports reliable business use. • Clean and standardize inconsistent customer information so records can be used more effectively by downstream teams and platforms. • Prepare validated datasets for transfer into business systems, including Salesforce and enterprise data repositories. • Work closely with internal stakeholders to align on hierarchy rules, data handling methods, and account research outcomes. • Apply established procedures while managing detailed investigative tasks independently and maintaining a high level of accuracy. • Support data improvement efforts tied to source information from Snowflake and other organizational systems, using Excel as the primary working tool.
2026-08-28T00:00:00Z

Data Analyst

Gainesville, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders. Responsibilities: • Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs. • Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time. • Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow. • Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards. • Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities. • Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed. • Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions. • Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
2026-08-26T00:00:00Z

Data Analyst

Milwaukee, WI
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. Responsibilities:• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.
2026-08-25T00:00:00Z

Data Engineer (Databricks)

Seffner, FL
onsite
Temporary / Contract
110000 - 140000 USD / Yearly
Hybrid schedule out of Seffner, FL office – 3 days in, 2 days WFH6 month Contract-To-Permanent (client will be converting this person to a permanent employee at 6 months) Position OverviewWe are seeking a Data Engineer with deep expertise in Databricks to design, develop, and optimize scalable data solutions. This role will focus heavily on Databricks technologies including Lakeflow Declarative Pipelines, Lakebase, Genie, and AI/BI Dashboards. The ideal candidate will have strong Python and SQL skills, hands-on experience building modern data pipelines, and a proven track record working within the Databricks ecosystem. This role is ideal for a highly technical Data Engineer who is passionate about the Databricks ecosystem and enjoys building scalable, modern data solutions that drive business value. Key Responsibilities<ul><li>Design, develop, and support data solutions within the Databricks platform</li><li>Build and optimize Lakeflow Declarative Pipelines for data ingestion and transformation</li><li>Work with Lakebase to support scalable, high-performance data architecture</li><li>Leverage Databricks Genie to enhance data accessibility and business user interactions</li><li>Develop and support AI/BI Dashboards to deliver actionable business insights</li><li>Create, optimize, and maintain complex SQL queries and Python-based data workflows</li><li>Collaborate with business stakeholders, analysts, and engineering teams to deliver data-driven solutions</li><li>Ensure data quality, performance, scalability, and reliability across the data platform</li></ul>
2026-08-27T00:00:00Z

Software Engineer - Data Science

Naperville, IL
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Software Engineer - Data Science to join a growing organization in Naperville, Illinois and help strengthen the platform capabilities that support machine learning and data science initiatives. This Long-term Contract position will partner closely with infrastructure, development, and data-focused teams to build reliable engineering foundations, streamline delivery practices, and improve day-to-day productivity. The ideal candidate brings a strong software engineering background along with experience in cloud environments, automation, and modern deployment workflows. Responsibilities: • Design and enhance platform solutions that enable data scientists and machine learning engineers to develop, test, and deploy their work efficiently • Build, maintain, and optimize CI/CD workflows to support dependable releases and consistent engineering standards • Develop automation for infrastructure provisioning and configuration management using infrastructure-as-code approaches • Manage and improve cloud-based resources and services to ensure scalable, secure, and resilient platform operations • Collaborate with engineering and data teams to remove workflow bottlenecks and strengthen the overall developer experience • Support software delivery best practices across the full development lifecycle, from code integration through production deployment • Contribute to application and platform development efforts using technologies such as C#, .NET, ASP.NET, JavaScript, and React.js • Integrate and support data platform components, including Snowflake, within broader engineering solutions
2026-09-02T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-08-18T00:00:00Z

Data Engineer (Phython)

Houston, TX
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Responsibilities<ul><li>Develop scalable, reusable Python applications and services that integrate external data sources, internal platforms, and enterprise databases.</li><li>Partner with business stakeholders to gather requirements and translate operational needs into technical solutions.</li><li>Design, build, and support data ingestion frameworks, ETL processes, and enterprise data pipelines.</li><li>Promote code quality, maintainability, and standardization across shared development libraries and tooling.</li><li>Enhance internal developer utilities, automation frameworks, and data engineering best practices.</li><li>Collaborate with distributed teams to deliver reliable, high-performing solutions across multiple business functions.</li><li>Contribute to technical knowledge sharing, development standards, and continuous improvement initiatives.</li></ul>
2026-09-02T00:00:00Z

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
35 - 42 USD / Hourly
Data Analyst I4-month Contract with potential extensions/conversionHybrid, 4 days/week onsite in Phoenix, AZ; Shift 6:00am-2:30pm We are looking for a detail-oriented Data Analyst I to support operational improvement efforts in Phoenix, AZ. This is a contract position focused on examining workflow data, uncovering recurring issues, and helping the business operate more efficiently. The ideal candidate brings strong curiosity, sound judgment, and a proactive approach to solving problems while working closely with internal stakeholders. This role follows a hybrid schedule with in-office work Monday through Thursday and remote work on Friday. Responsibilities:• Review reporting and workflow activity to detect patterns, recurring issues, and opportunities to improve day-to-day operations.• Conduct root cause analysis on service or process problems and recommend practical, lasting solutions.• Investigate complex cases or unfamiliar requests, using research and data analysis to drive resolution.• Create clear documentation for findings, process updates, recommendations, and operational changes.• Partner with cross-functional teams to simplify procedures, reduce manual effort, and improve consistency.• Use tools such as SQL, SharePoint workflows, and reporting platforms to analyze performance and support decision-making.• Track closed-ticket activity and related metrics to identify inefficiencies and support continuous improvement initiatives.• Contribute to process changes and workflow enhancements that strengthen service quality and operational effectiveness.
2026-09-03T00:00:00Z

Data Architect

Springfield, MA
onsite
Temporary / Contract
55 - 58 USD / Hourly
We are seeking an experienced Clinical Data Architect / Data Management Specialist to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.
2026-09-02T00:00:00Z

Data and Knowledge Engineer

Menlo Park, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Data & Knowledge Engineer Company OverviewA leading artificial intelligence and advanced analytics organization is seeking a Data & Knowledge Engineer to help power next-generation AI and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data from disparate sources into unified intelligence systems that support advanced analytics, automation, and operational decision-making. This is an opportunity to work on mission-critical initiatives involving large-scale data, knowledge graphs, and AI-driven applications. Role SummaryThe Data & Knowledge Engineer will lead the onboarding, transformation, and governance of complex multimodal data into scalable data and knowledge platforms. This role focuses on integrating structured and unstructured data sources, designing reusable data pipelines, developing entity resolution frameworks, and enabling high-quality data for analytics, retrieval, AI workflows, and geospatial applications. The ideal candidate combines strong data engineering expertise with experience in knowledge graphs, data quality, and large-scale information management. Key Responsibilities<ul><li>Design and develop scalable data ingestion pipelines for structured, unstructured, geospatial, and sensor-based data sources.</li><li>Build and maintain batch and streaming data processing systems across cloud, on-premises, and disconnected environments.</li><li>Develop integrations with APIs, databases, file systems, enterprise applications, and external data sources.</li><li>Design schema mapping, normalization, and transformation processes that support diverse customer data models.</li><li>Implement entity resolution, record linkage, deduplication, and data matching capabilities across multiple sources.</li><li>Preserve data lineage, provenance, auditing, and traceability throughout the data lifecycle.</li><li>Create data validation, monitoring, replay, and exception-handling processes for complex data environments.</li><li>Develop workflows for managing ambiguous records, conflicting information, and data quality issues.</li><li>Define and measure data quality metrics, onboarding effectiveness, and operational performance indicators.</li><li>Support knowledge graph, retrieval, AI, and analytics capabilities through high-quality governed datasets.</li><li>Partner with engineering and stakeholder teams to transform recurring onboarding requirements into reusable platform capabilities.</li><li>Contribute to platform architecture, engineering standards, and long-term data strategy initiatives.</li></ul>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Full-time exempt position</li><li>Hands-on engineering role with substantial ownership and technical influence</li><li>Opportunity to work on large-scale data, knowledge graph, and AI-driven initiatives</li><li>Staff-level candidates may provide architectural leadership, mentorship, and engineering guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-08-19T00:00:00Z

Business Analytics/Data Analyst

Los Angeles, CA
onsite
Temporary / Contract
47 - 55 USD / Hourly
Robert Half Management Resources is recruiting for a Procurement Analytics & AI Enablement Consultant to support a procurement-focused transformation effort to support our global entertainment client based in Los Angeles, California. This long-term hybrid contract opportunity is ideal for someone who can turn operational data into clear insights, build scalable reporting solutions, and strengthen team adoption of digital collaboration and AI-enabled tools. The person in this role will partner with stakeholders to improve visibility into priorities, performance, and opportunities through dashboards, automated reporting, and structured knowledge-sharing resources. Responsibilities:• Create executive-facing dashboards that highlight procurement activity, initiative status, potential value opportunities, and overall performance trends.• Develop automated reporting processes by connecting Asana and other relevant data sources to deliver timely, reliable updates with less manual effort.• Establish and manage a centralized SharePoint environment that organizes key documents, communications, and reference materials for the broader team.• Promote effective use of SharePoint by defining content governance practices and ensuring information remains accurate, current, and easy to locate.• Produce practical AI learning materials that help teams apply generative AI to sourcing activities, supplier outreach, proposal review, negotiation support, and reporting tasks.• Lead workshops, user training sessions, and support hours to build confidence and increase adoption of AI-driven tools and workflows.• Design reusable prompt libraries, templates, and productivity resources that enable more consistent and efficient ways of working.• Identify workflow improvement opportunities within Asana and related processes to enhance operational efficiency and strengthen data quality.• Support analytics needs tied to large-scale transformation or post-merger integration activities as part of the broader procurement program.• Partner with stakeholders to gather feedback and continuously enhance reporting tools and analytics solutions.
2026-09-03T00:00:00Z

Data Solutions Engineer

Minneapolis, MN
onsite
Temporary / Contract
60 - 75 USD / Hourly
We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making. Responsibilities: • Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration. • Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes. • Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources. • Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs. • Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases. • Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency. • Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives. • Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions. • Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.
2026-08-31T00:00:00Z

Analytics Engineer

Houston, TX
onsite
Permanent / Full Time
135000 - 150000 USD / Yearly
Key Responsibilities<ul><li>Design, develop, and maintain scalable data models, staging layers, and curated datasets within a modern cloud-based data environment.</li><li>Build and support enterprise reporting solutions, including semantic models, metrics, dashboards, and self-service analytics capabilities.</li><li>Partner with business stakeholders to gather requirements and translate complex business processes into well-structured analytical solutions.</li><li>Monitor and support scheduled data integration processes, report refreshes, and related data workflows.</li><li>Troubleshoot data quality, reporting, and pipeline issues while identifying opportunities for process improvement.</li><li>Create and maintain documentation for datasets, metrics, reporting logic, and data lineage.</li><li>Promote data quality standards, modeling best practices, and governance principles across the analytics environment.</li><li>Continuously identify opportunities to streamline workflows, improve reporting accuracy, and enhance data accessibility.</li></ul>
2026-09-02T00:00:00Z

Business Data Analyst/ Data Visualization

Stamford, CT
onsite
Temporary / Contract
25 - 35 USD / Hourly
Job SummaryWe are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.Key Responsibilities<ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul>
2026-08-31T00:00:00Z

Snowflake Data Engineer

Chelmsford, MA
onsite
Permanent / Full Time
95000 - 120000 USD / Yearly
Snowflake & Data Engineering SpecialistLocation: Northwest of Boston, MASchedule: Hybrid (3 days onsite per week)Employment Type: Full-Time OverviewWe are seeking a hands-on Snowflake & Data Engineering Specialist to join our growing data team. This is an ideal opportunity for someone who enjoys wearing multiple hats and wants to be involved in every aspect of the data lifecycle.Unlike larger organizations where responsibilities are highly specialized, this role offers broad exposure across data architecture, ingestion, ETL development, optimization, reporting support, and platform modernization. You will help drive our transition away from legacy SSIS-based processes and play a key role in building the next generation of our cloud-based data ecosystem.We're particularly interested in candidates who have worked in smaller or mid-sized organizations where they have owned projects from start to finish and aren't afraid to roll up their sleeves to solve problems. What You'll Do<ul><li>Design, build, and maintain scalable data pipelines in Snowflake</li><li>Lead efforts to migrate legacy SSIS workflows to modern cloud-based solutions</li><li>Perform end-to-end data ingestion from a variety of source systems, APIs, flat files, databases, and third-party platforms</li><li>Develop and optimize ETL/ELT processes to support analytics and business operations</li><li>Partner directly with business stakeholders to understand data needs and deliver solutions</li><li>Monitor, troubleshoot, and improve existing data integration processes</li><li>Create and maintain data models, transformations, and data quality processes</li><li>Support reporting, analytics, and downstream data consumers</li><li>Participate in architecture discussions and help shape the company's long-term data strategy</li><li>Contribute wherever needed as part of a collaborative, high-impact team</li></ul>
2026-08-10T00:00:00Z

Data Architect (GCP)

Appleton, WI
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery. The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment. What You’ll Do<ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul>
2026-08-12T00:00:00Z

Data/Information Architect

Madison, WI
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to help shape and guide modern cloud and data architecture initiatives in Madison, Wisconsin. This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions. The role focuses on designing resilient, secure, and high-performing environments that support distributed applications, platform services, and evolving business needs. Responsibilities: • Lead the design of enterprise data and cloud architecture solutions that align technical strategy with operational goals. • Create scalable architectures for distributed applications using microservices, container platforms, and serverless capabilities where appropriate. • Define and implement infrastructure automation standards with tools such as Terraform, Bicep, CloudFormation, or Pulumi to improve consistency and speed. • Establish CI/CD practices and deployment workflows that support reliable software delivery and efficient environment management. • Architect container-based workloads with strong consideration for networking, access control, monitoring, and overall platform stability. • Develop integration patterns and event-driven solution designs that improve interoperability across cloud services and business systems. • Partner with engineering and business stakeholders to document architecture decisions, communicate technical direction, and support long-term roadmap planning. • Contribute to modern data platform design, including data lakes, warehouses, streaming pipelines, and data modeling approaches for analytics and operational use cases. • Promote secure architecture principles by embedding compliance, encryption, least-privilege access, and risk mitigation into platform and data designs. • Mentor team members and encourage engineering best practices across architecture governance, cloud operations, and platform development.
2026-08-27T00:00:00Z

Enterprise Data Engineer

West Des Moines, IA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality. Responsibilities: • Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing. • Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies. • Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange. • Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions. • Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives. • Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions. • Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors. • Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability. • Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
2026-08-12T00:00:00Z

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