165 Results for Data Scientist Jobs in Usa

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Business Analytics/Data Analyst

Belmont, NC
onsite
Temporary / Contract
31.6635 - 36.663 USD / Hourly
We are looking for an experienced Business Analytics/Data Analyst to support a contract financial data review initiative for a higher education organization in North Carolina. This 3-month assignment is suited for a hands-on accounting and analytics specialist who can investigate reporting inconsistencies, validate financial data, and strengthen trust in management reporting. The role will work closely with finance leadership to examine complex records, resolve discrepancies, and deliver clear, fact-based insights that improve reporting accuracy. Responsibilities: • Examine financial and operational information across Financial Edge and Colleague to uncover inconsistencies and support accurate reporting. • Complete detailed reconciliations involving balance sheet accounts, subsidiary records, general ledger activity, and transaction-level data. • Investigate historical accounting entries to confirm balances, explain variances, and resolve outstanding issues. • Review payroll distributions and expense coding to verify that costs are assigned appropriately across departments and functions. • Assist with month-end accounting tasks by preparing journal entries, analyzing accruals, and supporting close-related reviews. • Evaluate the effectiveness of current reporting structures and identify areas where corrections or refinements are needed. • Create concise documentation of findings, reconciliation methods, and recommended process improvements for finance stakeholders. • Partner with accounting and finance leadership to provide practical recommendations that increase confidence in financial data integrity. • Use advanced Excel and related reporting tools to analyze large data sets and produce ad hoc financial reporting as needed.
2026-11-04T00:00:00Z

Data Scientist - B2C Consumer Trends

Richmond, VA
remote
Temporary / Contract
60 - 65 USD / Hourly
About the OpportunityWe're seeking a Data Scientist who thrives at the intersection of business strategy, marketing analytics, and statistical analysis. This role sits between a traditional Data Analyst and Data Scientist, focusing less on reporting and more on answering complex business questions that influence marketing investment decisions.You'll join a high-performing analytics team responsible for evaluating and optimizing one of the organization's largest performance marketing channels. The ideal candidate brings a strong background in B2C marketing analytics, paid search, experimentation, and statistical analysis, with the ability to translate ambiguous business problems into actionable recommendations. What You'll DoIn this role, you'll use data to influence marketing strategy and investment decisions across large-scale paid search programs.Key Responsibilities:<ul><li>Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure the true business impact of paid search investments.</li><li>Build statistical frameworks to evaluate campaign performance and guide strategic decision-making.</li><li>Analyze large datasets using SQL and Python to uncover trends, performance drivers, and opportunities.</li><li>Develop recommendations regarding marketing spend allocation through ROI and marginal return analyses.</li><li>Translate complex business questions into structured analytical approaches and defensible recommendations.</li><li>Partner with marketing, analytics, and business stakeholders to influence investment and optimization strategies.</li><li>Create and maintain trusted reporting, dashboards, and performance measurement frameworks.</li><li>Validate findings, quality-check reporting, and challenge assumptions to ensure analytical rigor.</li><li>Support ad hoc analyses including:</li><li>Marketing budget optimization</li><li>Competitive performance analysis</li><li>Search engine algorithm impact assessments</li><li>Customer acquisition and conversion performance studies</li></ul>What a Typical Month Looks Like<ul><li>50% Ongoing performance management and campaign optimization</li><li>30% Strategic projects, experimentation, and deep-dive analysis</li><li>20% Team collaboration, stakeholder meetings, and team development</li></ul>
2026-11-06T00:00:00Z

Director of Data Science & Analytics

Brookfield, WI
onsite
Permanent / Full Time
205000 - 240000 USD / Yearly
Transform the Future of AI, Analytics & Intelligent Automation We are seeking a highly innovative Director of Data Science & Analytics to lead the next evolution of an enterprise's analytics and AI capabilities. This leadership opportunity will oversee Business Intelligence, Data Science, and emerging AI-focused engineering functions while helping shape the company's long-term data and AI strategy. This role is ideal for somebody who thrives at the intersection of business strategy, technology, and talent development. You'll have the opportunity to build and scale high-performing teams, influence executive decision-making, and drive meaningful business outcomes through advanced analytics, machine learning, and AI-enabled solutions. Responsibilities: • Define and advance the enterprise vision for analytics and AI in partnership with senior leadership, balancing immediate business needs with long-range capability building. • Help experienced the organization's approach to AI adoption, intelligent workflows, and advanced decision support capabilities. • Direct and develop managers and technical teams across business intelligence, data science, and applied engineering functions embedded within cross-functional operating groups. • Expand the use of machine learning, forecasting, optimization, and advanced analytical methods to solve business problems and generate measurable value. • Elevate reporting and analytics practices by improving semantic layers, strengthening data trust, and enabling effective self-service access for business users. • Build and scale a team focused on delivering end-to-end AI applications, including generative AI and agent-based solutions. • Partner with leaders across commercial, operations, product, and corporate areas to prioritize initiatives, align resources, and guide investment decisions. • Establish governance for model development, MLOps, validation practices, reusable code assets, and quality standards across analytics delivery. • Help shape platform direction and solution delivery across environments such as Azure and Databricks while supporting scalable analytics architecture. • Lead organizational planning efforts including hiring strategy, succession planning, team design, and capability development as the function grows. • Foster a high-accountability culture that encourages experimentation, rapid learning, continuous improvement, and strong ownership of outcomes.
2026-11-05T00:00:00Z

Data Warehouse Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.Responsibilities<ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul>
2026-10-22T00:00:00Z

Snowflake Data Engineer

Radnor, PA
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
2026-11-03T00:00:00Z

Data Analyst Data Visualization and AI Tools

Stamford, CT
onsite
Temporary / Contract
28 - 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>
2026-10-23T00:00:00Z

Data Privacy Analyst

Bellevue, WA
remote
Temporary / Contract
65 - 75 USD / Hourly
Robert Half Technology is seeking an experienced Privacy & Data Governance Consultant to support a client in the travel and insurance industry. This individual will play a key role in assessing and strengthening the organization's privacy and data governance practices, ensuring compliance with applicable regulations, and enhancing existing policies, procedures, and data protection controls. This is primarily privacy compliance, governance, and policy-focused opportunity rather than a hands-on engineering role. Duration: 6-month contract, with potential to extendLocation: Client is based in Washington State – 100% remotePay rate: $65-$75/hr Key Responsibilities<ul><li>Assess the organization's current privacy and data governance environment to identify gaps, risks, and opportunities for improvement.</li><li>Develop, review, and update privacy policies, procedures, and data protection practices to align with regulatory requirements and organizational objectives.</li><li>Support compliance with applicable federal and state privacy regulations, with an emphasis on Washington State privacy requirements.</li><li>Utilize Microsoft Purview to support data governance initiatives, including sensitivity labeling, data classification, and policy configuration.</li><li>Evaluate how sensitive information is collected, stored, accessed, protected, and shared across organizational systems.</li><li>Review existing data protection controls and recommend improvements to strengthen privacy compliance and reduce organizational risk.</li><li>Establish and refine data handling guidelines to ensure information is appropriately classified, protected, and shared.</li><li>Collaborate with internal technology, security, compliance, and business teams to align privacy policies with operational practices.</li><li>Provide guidance on privacy considerations related to Microsoft cloud environments, data centers, and emerging technologies.</li><li>Support ongoing privacy and data governance initiatives during organizational changes and process improvements.</li></ul>
2026-11-06T00:00:00Z

Data Automation Engineer

Washington, DC
remote
Temporary / Contract
48 - 54 USD / Hourly
We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities. Key Responsibilities:· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.
2026-10-15T00:00:00Z

Data/Information Architect

Wayne, PA
remote
Temporary / Contract
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to shape and advance a modern cloud-based data environment. This long-term contract opportunity is well suited for someone who can define scalable architecture, optimize data flow, and support enterprise reporting and analytics needs. The role centers on designing high-performing Snowflake solutions, establishing strong data models, and connecting information from multiple business platforms into a unified ecosystem. Responsibilities: • Define and evolve the overall architecture for a cloud data platform with a focus on scalability, reliability, and long-term performance. • Create Snowflake-based solutions that support efficient data storage, transformation, and consumption for analytics and reporting. • Develop logical and physical data models that improve consistency, usability, and governance across enterprise datasets. • Integrate data from a range of internal business applications and external sources to build a connected and dependable information framework. • Partner with technical and business stakeholders to translate reporting and analytical goals into practical architectural designs. • Establish standards for data organization, documentation, and file management to support accuracy, accessibility, and compliance needs. • Review existing data processes and recommend improvements that strengthen platform efficiency, quality, and maintainability. • Provide architectural guidance on digital content and documentation-related data structures where they intersect with enterprise information systems.
2026-11-02T00:00:00Z

Data Analyst Intermediate

Seattle, WA
onsite
Temporary / Contract
33 - 33 USD / Hourly
Hello!I came across your profile today in our Robert Half database and wanted to see if you are currently open to new opportunities. Robert Half partners with Fortune 500 and Fortune 1000 organizations nationwide, and I am currently recruiting for an exciting opportunity with one of our premier clients.• Position: Data Analytics Analyst (Intermediate) - Contract-to-Hire• Location: Downtown Seattle, WA• Schedule: 100% Onsite, Monday-Friday, 7:00 AM - 4:00 PM PST• Interview Process: One Round Zoom Interview• Required Education: Bachelor's Degree Required• Work Authorization: No employer-sponsored immigration support available• Hiring Manager: Josh FunstonJob DescriptionOur client is expanding a large-scale credit card marketplace initiative and is seeking a detail-oriented Data Analytics Analyst to support digital analytics, data collection, and instrumentation efforts. This role will focus on ensuring data is accurately captured, measured, and reported across digital platforms while identifying gaps in existing tracking and analytics processes.The ideal candidate will possess strong analytical capabilities, excellent communication skills, and a foundational understanding of data analytics technologies, including Python and related tools. Recent graduates with relevant internship experience are encouraged to apply.Key Responsibilities• Translate business objectives into measurement specifications and data collection requirements• Support instrumentation and tracking efforts across digital platforms• Identify gaps in analytics, tagging, and reporting processes• Partner with business and technology teams to ensure accurate data collection and reporting• Validate tracking implementations and troubleshoot data quality issues• Analyze customer and behavioral data to support business decision-making• Assist with defining KPIs, success metrics, and performance measurements• Document analytics requirements, standards, and processes• Collaborate with stakeholders to improve reporting accuracy and data accessibility• Communicate findings, risks, and recommendations to project teams and leadershipRequired Qualifications• Bachelor's Degree required• Strong attention to detail and organizational skills• Excellent verbal and written communication skills• Strong understanding of data analytics concepts and methodologies• Familiarity with Python and other analytics tools (certifications not required)• Ability to identify trends, inconsistencies, and gaps within data sets• Analytical mindset with strong problem-solving capabilities• Internship, academic, or professional experience involving analytics, reporting, business intelligence, or data analysis
2026-11-04T00:00:00Z

Director of Data & Analytics

Worcester, MA
onsite
Permanent / Full Time
160000 - 170000 USD / Yearly
We are looking for a strategic data leader to shape and advance the enterprise approach to analytics, governance, and modern data platforms in Worcester, Massachusetts. This position will guide the development of scalable capabilities that support reporting, advanced analysis, and informed decision-making across the institution. The Director will work closely with senior leaders and campus partners to strengthen data operations, expand analytical maturity, and lead teams responsible for engineering and business intelligence. Responsibilities:• Create and lead a long-term data and analytics roadmap that supports institutional priorities and measurable business outcomes.• Direct enterprise functions across data architecture, engineering, reporting, and analytics to deliver reliable and effective information services.• Implement standards for data governance, quality, security, and master data practices to improve trust and consistency across systems.• Oversee the design and growth of cloud-based data environments, including warehouses, lakes, and integration frameworks that scale with organizational needs.• Collaborate with executive and operational stakeholders to deliver dashboards, performance reporting, and self-service tools that enable better decisions.• Advance modernization efforts by identifying and applying opportunities in AI, machine learning, and other sophisticated analytics capabilities.• Manage platform performance, vendor partnerships, budgeting, and resource allocation to ensure sustainable operations and delivery.• Recruit, coach, and develop data engineering, analytics, and BI professionals while fostering a collaborative and high-performing team culture.• Champion data literacy across the organization by encouraging evidence-based practices and broader adoption of analytical tools and insights.
2026-10-14T00:00:00Z

Data Governance Engineer

Glendale, CA
onsite
Temporary / Contract
72 - 78 USD / Hourly
We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance. Key Responsibilities:· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.
2026-10-29T00:00:00Z

Data Platform Engineer

Cleveland, OH
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T00:00:00Z

Data Analyst Basic (1-3 years)

Newark, DE
onsite
Temporary / Contract
30 - 30 USD / Hourly
<ul><li>Position: Data Analyst - Legal Entity Management (Contract-to-Hire)</li><li>Location: Newark, DE 19713</li><li>Schedule: 100% Onsite, Monday-Friday, 9:00 AM - 5:00 PM</li><li>Required Experience: 2+ years of experience working with legal entity documentation, onboarding, data gathering, or financial services operations</li><li>Tentative Pay Rate: $30.00 per hour</li></ul>Job DescriptionOur client is seeking a detail-oriented Data Analyst to join the CAPO - Legal Entity Management team supporting Global Alternatives. This role is responsible for reviewing and interpreting legal entity documentation, supporting entity onboarding and maintenance activities, ensuring data quality, and partnering with stakeholders across the business to meet regulatory and operational requirements.The ideal candidate will have strong analytical skills, experience handling sensitive information, exceptional attention to detail, and the ability to manage multiple priorities in a fast-paced environment.Key Responsibilities<ul><li>Support end-to-end legal entity onboarding and maintenance across firmwide platforms</li><li>Review, analyze, and interpret legal entity documents and supporting records</li><li>Gather, validate, and maintain legal entity and financial data</li><li>Handle sensitive PII and ensure compliance with data retention requirements</li><li>Prepare and support monthly, quarterly, and annual reporting activities</li><li>Maintain audit-ready documentation and evidence supporting regulatory controls</li><li>Partner with business stakeholders, operations teams, controllers, and regulatory groups</li><li>Conduct data quality reviews and resolve documentation or data discrepancies</li><li>Assist with process improvement initiatives, automation opportunities, and data governance projects</li><li>Support special projects aligned with legal entity management and reporting objectives</li></ul>
2026-10-20T00:00:00Z

Lead Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
175000 - 180000 USD / Yearly
We are looking for an experienced Lead Data Engineer to shape and scale modern data solutions for a growing organization. This role is ideal for a senior, detail-oriented individual who enjoys working in a dynamic environment, contributing both strategically and hands-on across engineering initiatives. The ideal candidate brings strong technical depth in cloud-based data platforms, a practical approach to data architecture, and the ability to guide engineers while partnering effectively with business stakeholders. Responsibilities: • Lead the design, development, and maintenance of scalable data pipelines and warehouse solutions using Python, Snowflake, and Azure-based technologies. • Define data architecture standards that improve reliability, usability, and long-term scalability across the data environment. • Drive performance tuning and optimization efforts for data processing workflows, storage structures, and query execution. • Establish and strengthen data quality practices by implementing validation, monitoring, and governance measures across datasets and pipelines. • Serve as a senior technical leader who can step into managerial responsibilities, providing direction, feedback, and support to engineering team members. • Mentor engineers through code reviews, technical coaching, and knowledge sharing to elevate team capability and engineering consistency. • Partner closely with business teams and technical stakeholders to translate operational and analytical needs into effective data solutions. • Contribute hands-on to ETL development and cloud data platform enhancements, with exposure to Databricks considered an advantage. • Act as a key point of coordination between business priorities and technical execution to ensure data initiatives deliver measurable value.
2026-11-03T00:00:00Z

Junior Data Analyst

Peachtree Corners, GA
onsite
Permanent / Full Time
60000 - 80000 USD / Yearly
We are looking for a curious and detail-focused entry-level Data Analyst to join our team in Georgia. In this role, you will help transform operational and business data into clear reporting and practical insights that support day-to-day decisions. This opportunity is well suited to someone starting their analytics career who enjoys solving problems, working with data tools, and growing in a collaborative, fast-moving environment. Responsibilities: • Create, refresh, and maintain dashboards along with recurring reports that provide timely visibility into business performance. • Examine operational, sales, financial, and customer information to uncover patterns, highlight irregularities, and support informed decision-making. • Review data for completeness and accuracy by performing validation, reconciliation, and quality checks, then raise issues when records appear inconsistent or incomplete. • Use SQL to extract, organize, and summarize data for reporting and ad hoc analysis needs. • Assist with Power BI reporting by contributing to report updates, testing activities, and validation of results. • Work with structured datasets while building familiarity with data warehouse environments and core data processes. • Partner with stakeholders across the business to understand reporting goals and present findings in a clear, practical manner. • Maintain organized documentation for reports, metric definitions, validation methods, and standard procedures.
2026-11-06T00:00:00Z

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. 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>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>
2026-10-30T00:00:00Z

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

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

Data & AI Architect

Grand Rapids, MI
remote
Permanent / Full Time
180000 - 240000 USD / Yearly
We are looking for a Data & AI Architect to lead the design of modern data platforms and intelligent systems.. This is a fully remote opportunity that blends enterprise data architecture with applied AI, focusing on scalable platforms, retrieval-driven solutions, and production-grade agentic workflows. The ideal candidate will shape technical standards, guide platform decisions, and contribute hands-on expertise to build secure, high-performing solutions that support advanced analytics and AI adoption. Responsibilities:• Establish enterprise data models, shared business semantics, and data interface standards that support secure, tenant-aware access across relational, document, key-value, object, graph, vector, and analytical data platforms.• Design cloud-based data ecosystems, including warehouses and lakehouses, and select the right technologies based on throughput, latency, scale, and cost requirements.• Create architecture for batch and streaming pipelines, transformation layers, and data-serving systems with strong attention to lineage, recoverability, freshness, data quality, and operational accountability.• Lead the design of embedding pipelines, vector lifecycle management, semantic retrieval, hybrid search, reranking strategies, and evaluation methods for high-quality search experiences.• Architect knowledge-driven and graph-aware solutions that improve entity resolution, recommendation quality, matching accuracy, and personalization outcomes.• Define production-ready approaches for retrieval-augmented AI and single- or multi-agent systems, including context design, citation grounding, orchestration patterns, state handling, approval workflows, and resilient failure recovery.• Establish measurement and observability practices for AI systems by tracking quality, safety, reliability, cost, latency, and task performance through traceable debugging and regression testing.• Build, review, and optimize critical data pipelines, AI prototypes, retrieval services, and evaluation frameworks to support real-world production use cases.• Implement repeatable engineering practices such as automated testing, CI/CD, documentation, monitoring, and recovery procedures that enable reliable long-term operation.• Set architectural direction for governance, privacy, authorization, retention, auditability, and AI safety controls while advising on platform strategy, vendor evaluation, and technical decision-making.
2026-10-29T00:00:00Z

Business Intelligence Analyst

Delray Beach, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a Business Intelligence Analyst to transform data into actionable insights that support strategic decision-making across the organization. This role will work closely with business leaders, finance, operations, and technology teams to develop dashboards, reports, and data models that improve visibility into performance and drive business growth.Key Responsibilities<ul><li>Gather, analyze, and interpret large datasets from multiple sources.</li><li>Design, build, and maintain dashboards, reports, and visualizations for business stakeholders.</li><li>Translate business requirements into reporting and analytics solutions.</li><li>Identify trends, patterns, and opportunities to improve operational and financial performance.</li><li>Partner with cross-functional teams to define KPIs and reporting standards.</li><li>Support data validation, cleansing, and quality assurance efforts.</li><li>Create and maintain documentation for reports, dashboards, and data definitions.</li><li>Present findings and recommendations to leadership in a clear, concise manner.</li><li>Assist with ad hoc analysis and special projects as needed.</li></ul>
2026-11-04T00:00:00Z

Business Intelligence Analyst

Mcallen, TX
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are looking for a Business Intelligence Analyst to support data-driven decision-making within our Financial Services team in McAllen, Texas. This role partners with business stakeholders, technical teams, and end users to translate operational needs into reporting and analytics solutions that improve visibility and performance. The ideal candidate brings a foundation in banking, strong analytical thinking, and hands-on experience with BI tools and data environments. Responsibilities: • Collaborate with business partners, technology teams, and external stakeholders to identify reporting needs, clarify objectives, and confirm solution requirements. • Translate business needs into clear functional documentation that guides the design and development of dashboards, reports, and analytical solutions. • Analyze recurring data requests, reporting patterns, and business processes to recommend useful queries, metrics, and insights. • Investigate business challenges and contribute to analytical models that help teams evaluate trends, performance, and operational issues. • Review collected data for completeness, accuracy, and consistency to support dependable reporting and decision-making. • Maintain data definitions and metadata records by updating, adding, or removing entries within the data dictionary or repository as needed. • Document data quality issues and submit tracking tickets to support timely resolution and ongoing governance efforts. • Participate in project planning activities, team assignments, cross-functional training, and other department initiatives as business needs evolve. • Stay aligned with banking policies, audit expectations, risk controls, and regulatory requirements while promptly escalating suspicious or unusual activity according to established procedures.
2026-11-06T00:00:00Z

Sr. Data Engineer

Minneapolis, MN
onsite
Permanent / Full Time
115000 - 144000 USD / Yearly
We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will create and optimize modern data platforms that power analytics, reporting, and machine learning initiatives. You will collaborate with technical and business partners to turn complex source data into trusted, accessible assets that support better decisions across the organization. Responsibilities: • Build and maintain scalable data pipelines that ingest, transform, and deliver information from a variety of enterprise and operational data sources. • Design data models and warehouse structures that improve reporting performance, support analytics use cases, and enable long-term scalability. • Develop and orchestrate ETL and ELT workflows using cloud-based and workflow automation tools to ensure dependable data movement across systems. • Create batch and near-real-time processing solutions that provide timely, accurate datasets for downstream applications and analytical teams. • Write efficient, well-structured Python and SQL code to cleanse, transform, and validate large and complex datasets. • Monitor pipeline health, investigate failures, and tune jobs for reliability, cost control, and overall platform performance. • Establish data quality checks, testing routines, and governance practices to maintain consistency, integrity, and compliance across the data environment. • Partner with architects, analysts, data scientists, AI/ML engineers, and DevOps teams to support production-ready data products, automated deployments, and reproducible machine learning workflows.
2026-11-04T00:00:00Z

Sr. Data Engineer

Newport Beach, CA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We're seeking a hands-on Senior Data Engineer to lead the design, optimization, and evolution of a growing data platform. This role will focus on building scalable data pipelines, improving data quality, optimizing database performance, and supporting enterprise reporting and analytics initiatives. This role is FULLY ONSITE in Newport Beach, CA What You'll Do<ul><li>Design and maintain scalable ETL/ELT pipelines</li><li>Optimize PostgreSQL databases and complex SQL workloads</li><li>Lead data migration and integration efforts from legacy systems</li><li>Build data quality, validation, and deduplication processes</li><li>Develop solutions within a cloud data warehouse environment (Snowflake)</li><li>Implement monitoring, alerting, and reliability best practices</li><li>Partner with business and technical stakeholders to deliver trusted data solutions</li></ul>
2026-11-07T00:00:00Z

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