280 Results for Data Engineer Jobs

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Data Analyst

Tallahassee, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.Responsibilities<ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul>Qualifications<ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul>
2026-10-15T00:00:00Z

Data Analyst

Somerset, NJ
onsite
Temporary to Hire
45.6 - 52.8 USD / Hourly
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy. Responsibilities: • Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk. • Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions. • Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts. • Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure. • Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources. • Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
2026-09-25T00:00:00Z

Data Analyst

Boston, MA
onsite
Temporary / Contract
67.2885 - 77.913 USD / Hourly
We are looking for a Data Analyst to support a financial services organization in Boston, Massachusetts through a Long-term Contract engagement. This position focuses on portfolio and investment data within a private equity setting, helping teams improve reporting accuracy, streamline data processes, and turn complex business needs into reliable technical solutions. The ideal candidate brings strong analytical judgment, hands-on experience with Chronograph, and the ability to work closely with investment, finance, operations, and technology partners. Responsibilities: • Manage the collection, organization, and maintenance of portfolio-company data to support reporting and analysis across private equity and alternative investment activities. • Translate business objectives into clear data definitions, rules, and technical requirements for reporting and workflow improvements. • Perform data mapping, transformation, validation, and reconciliation activities to ensure consistency and accuracy across multiple data sources. • Partner with investment professionals, finance teams, portfolio operations, and technology stakeholders to deliver dependable data solutions aligned with business priorities. • Monitor data quality, investigate inconsistencies, and drive issue resolution through root-cause analysis and corrective actions. • Support reporting processes by preparing and validating financial, operational, and investment-related datasets and key performance indicators. • Use tools such as Snowflake and Microsoft Azure to assist with data processing, storage, and analysis in a controlled environment. • Contribute to data migration and workflow enhancement initiatives where portfolio and investment data must be integrated or restructured.
2026-10-19T00:00:00Z

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

Data Analyst

Cincinnati, OH
remote
Temporary / Contract
75 - 85 USD / Hourly
Robert Half is seeking an IFS Enterprise Asset Management (EAM) Solution Architect to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! Duration: 3 months contract with potential to extend, depending on performance Location: 100% Remote, occasional travel to SeattleSchedule: Open to candidates who’d be interested in Part Time or Full Time work Key Responsibilities<ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
2026-10-22T00:00:00Z

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.
2026-10-15T00:00:00Z

Data Analyst

Boca Raton, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support enterprise decision-making through advanced analytics, business intelligence, and data-driven recommendations. This Long-term Contract position is based in Boca Raton, Florida, with remote work flexibility and occasional travel as needed. The person in this role will turn complex operational and financial data into clear insights, practical reporting tools, and predictive models that help leaders improve performance and identify new opportunities. Responsibilities: • Analyze current and historical business data to uncover trends, risks, and opportunities that influence operational and strategic outcomes. • Create and maintain dashboards, scorecards, and key performance indicators that give leadership clear visibility into business performance. • Write advanced SQL queries and use Python to extract, transform, and evaluate large datasets from multiple enterprise platforms. • Translate analytical findings into concise recommendations, executive-ready presentations, and decision support materials for senior stakeholders. • Develop statistical, forecasting, and automated analytical solutions that strengthen reporting efficiency and business planning. • Partner with operations, quality, finance, IT, business intelligence, and data science teams to define requirements and deliver practical analytics solutions. • Perform ad hoc analysis in support of strategic initiatives, leadership requests, and continuous improvement efforts. • Validate data integrity, investigate anomalies, and coordinate with technical teams to resolve data quality issues. • Build repeatable analytical workflows and reusable code that reduce manual effort and improve scalability across reporting processes.
2026-09-30T00:00:00Z

Data Analyst

Nashville, TN
remote
Permanent / Full Time
100000 - 120000 USD / Yearly
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment. Responsibilities: • Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations. • Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness. • Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work. • Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents. • Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes. • Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps. • Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed. • Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
2026-10-01T00:00:00Z

Data Analyst

Westerville, OH
onsite
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analyst to turn complex business and operational information into clear insights that support smarter decisions across the organization. This position will create meaningful reporting solutions, uncover trends and performance issues, and help leaders improve efficiency and results. Based in Central Ohio, this role works closely with cross-functional partners to translate data into practical recommendations and measurable business value. Responsibilities:• Examine operational and business data to surface patterns, identify gaps in performance, and highlight areas for improvement.• Build, update, and enhance dashboards, reports, and visual presentations using tools such as SQL, Excel, Tableau, Power BI, Alteryx, or comparable platforms.• Collect, validate, clean, and structure large datasets so analysis is accurate, reliable, and ready for reporting.• Deliver custom analyses in response to evolving business needs and provide recommendations that support informed decision-making.• Collaborate with stakeholders across multiple teams to clarify reporting objectives and convert business questions into analytical outputs.• Streamline recurring reporting activities through automation and maintain clear records of data sources, logic, and reporting standards.• Review data quality across systems, investigate inconsistencies, and resolve issues that affect reporting accuracy.• Present conclusions and data-driven insights in a way that is accessible to both technical teams and business audiences.
2026-10-12T00:00:00Z

Data Analyst

Irvine, CA
onsite
Temporary / Contract
30.4 - 33 USD / Hourly
We are looking for a detail-oriented Data Analyst to support operations in Irvine, California through accurate data management and insightful reporting. This Long-term Contract position focuses on maintaining data quality, producing timely analyses, and helping stakeholders review financial and operational information with confidence. The role is well suited for someone who is comfortable working with large datasets, identifying irregular patterns, and using Power BI to turn information into clear business insight. Responsibilities:• Maintain and update datasets to ensure records remain complete, accurate, and ready for reporting needs.• Prepare ad hoc analyses and recurring reports that help teams monitor business performance and respond to emerging questions.• Review financial information for consistency, highlight unusual findings, and support follow-up analysis when discrepancies appear.• Build and refine Power BI dashboards and visual reports that present trends, exceptions, and key metrics in a clear format.• Examine transactional and operational data to detect suspicious activity and contribute to fraud-related analysis efforts.• Support investigations by organizing relevant data, validating source information, and summarizing findings for internal stakeholders.• Perform routine data quality checks and resolve inconsistencies to improve reliability across reporting outputs.
2026-10-16T00:00:00Z

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

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

Data Scientist/MLE

Pittsburgh, PA
onsite
Temporary / Contract
85000 - 200000 USD / Yearly
We are looking for Data Analytics, Data Science, and AI professionals interested in exploring new opportunities with organizations leveraging data to drive strategic decision-making and innovation. We are partnering with multiple companies seeking talent across analytics, machine learning, artificial intelligence, and advanced reporting functions. Location: Pittsburgh, PA (Hybrid and Onsite Opportunities Available)Compensation: $85,000 - $200,000+ depending on experience and positionSchedule: Full-Time Opportunities May Include:<ul><li>Data Analyst</li><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>BI Developer</li><li>Data Scientist</li><li>Senior Data Scientist</li><li>Machine Learning Engineer</li><li>AI Engineer</li><li>Applied AI Engineer</li><li>AI/ML Engineer</li><li>Manager, Data & Analytics</li></ul>Responsibilities:<ul><li>Analyze large datasets to uncover trends, patterns, and actionable insights</li><li>Build dashboards, reports, and visualizations for business stakeholders</li><li>Develop predictive models, machine learning solutions, and AI-driven applications</li><li>Partner with cross-functional teams to solve complex business challenges</li><li>Evaluate and improve data quality, reporting accuracy, and analytical processes</li><li>Develop and deploy machine learning models into production environments</li><li>Communicate findings and recommendations to technical and non-technical audiences</li></ul>
2026-10-14T00:00:00Z

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

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.
2026-09-28T00:00:00Z

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

Data Analyst I

Phoenix, AZ
onsite
Temporary / Contract
20 - 24 USD / Hourly
Data Analyst ILocation: Hybrid, 4 days onsite / 1 day remote Duration: Contract with potential for full-time conversion This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements. Responsibilities:<ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
2026-10-06T00:00:00Z

Data Scientist AI & ML Analyst

Des Moines, IA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Position: Data Scientist | AI & ML Analyst Location: Des Moines, IA -- Hybrid Salary: $80,000 - $100,000 base annual salary with exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Scientist | AI & Machine Learning Help Shape the Future of AI, Machine Learning & Predictive Analytics Are you passionate about using data, machine learning, and advanced analytics to solve real-world business challenges? We're partnering with a successful, established technology consulting organization seeking a Data Scientist | AI & Machine Learning professional to help expand its growing analytics and AI capabilities. This is an opportunity to make a visible impact, influence technical direction, and work on meaningful projects from concept to production. What You'll Do • Develop and enhance machine learning and predictive analytics models • Improve anomaly detection and forecasting capabilities • Analyze complex data using Python and SQL • Evaluate model performance and recommend improvements • Partner with analysts and stakeholders to solve business problems • Help shape AI/ML methodologies, tools, and best practices What We're Looking For • Experience in Data Science, Machine Learning, Predictive Analytics, or Advanced Analytics • Strong Python skills, including libraries such as Pandas, NumPy, and Scikit-Learn • Strong SQL and data analysis capabilities • Experience with statistical modeling, forecasting, anomaly detection, or predictive analytics • Ability to communicate insights to both technical and non-technical audiences • Self-directed, collaborative, and intellectually curious Why This Opportunity Stands Out • Help build and influence a growing AI/ML practice • Work directly with leadership and key decision-makers • Make an end-to-end impact on projects and outcomes • Join a successful, stable organization with exceptional employee tenure • Collaborative, family-oriented culture where people genuinely enjoy working together • Entrepreneurial environment that rewards initiative and fresh ideas • Hybrid work environment after onboarding • Competitive compensation up to $100,000 Who Thrives Here? The most successful individuals in this environment are hungry, humble, smart, and self-motivated. They enjoy wearing multiple hats, solving difficult problems, collaborating with others, and seeing the direct impact of their work. If you're looking for an opportunity where your ideas matter, your contributions are visible, and your work can help shape the future of AI and analytics, we'd love to connect. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-19T00:00:00Z

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.
2026-10-16T00:00:00Z

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

Database Engineer (VB6 / MS Access)

West Nyack, NY
onsite
Permanent / Full Time
115000 - 130000 USD / Yearly
We are a market-leading U.S. consumer packaged goods (CPG) food manufacturer specializing in top-selling, allergy-friendly, and plant-based baked goods. Founded with a mission to create safe, delicious products for individuals with severe food allergies, our products are distributed to major retail and distribution partners nationwide.Position OverviewWe are seeking a highly motivated, in-house ERP & Database Engineer to take full ownership of our business data systems—assessing, updating, and optimizing our technical infrastructure.We currently operate on an on-premise manufacturing ERP running on a Firebird 3.0 database (approx. 14 GB across 250+ tables). Internal reporting is driven by a legacy dashboard built in Visual Basic 6.0 (VB6), Microsoft Access, and ODBC connections. The ideal candidate will quickly master our existing legacy environment, document data flows, recommend a modernized path forward, and lead the technical execution. Key Responsibilities Phase 1: Assessment & Strategy<ul><li>System Mapping: Map data flows between the core ERP, Firebird database, legacy VB6/Access dashboard, and EDI invoicing infrastructure.</li><li>Database Audit: Identify custom tables/queries, resolve duplicate or inconsistent records, repair missing keys, and extract business logic embedded in legacy reports or spreadsheets.</li><li>System Health Check: Review database maintenance, automated backups, file growth trends, and database version status.</li><li>Knowledge Capture: Interview key internal stakeholders across Engineering, Accounting, Sales, and Production to document legacy logic and operational workflows.</li><li>Strategic Recommendation: Present a comprehensive plan (including cost, timeline, and risk analysis) choosing one of the following paths:</li></ul><ol><li>Maintain the current ERP, clean core data, and replace the legacy dashboard.</li><li>Maintain the current ERP and build a separate, well-modeled reporting database to power dashboards.</li><li>Replace the legacy ERP with a new enterprise system and execute the data migration.</li></ol>Phase 2: Remediation & Execution<ul><li>Lead the selected technical roadmap from design and architecture through system cutover.</li><li>Establish automated database maintenance, tested backup procedures, monitoring, and upgrade schedules.</li><li>Retire the legacy VB6/Access dashboard in collaboration with our internal Systems Analyst (currently developing a modern Python replacement).</li><li>Maintain comprehensive documentation and train internal team members to ensure long-term system maintainability and continuity.</li></ul>
2026-10-22T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
56 - 61 USD / Hourly
Data Scientist III (Supply Chain Optimization & Forecasting)Long Term ContractHybrid Philadelphia, PAPay: Available on W2OverviewWe are seeking an experienced Data Scientist III to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.This role requires a combination of Data Science and Operations Research expertise. Candidates should be comfortable building machine learning models as well as optimization and linear programming solutions that support supply chain planning and inventory decisions.Key ResponsibilitiesForecasting & Data Science<ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build and enhance demand forecasting models and machine learning solutions.</li><li>Develop inventory optimization, linear programming, and Operations Research models that improve planning decisions.</li><li>Analyze inventory performance, demand variability, and forecasting accuracy to improve business outcomes.</li><li>Translate business requirements into scalable analytical solutions.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li></ul>Inventory Optimization & MEIO<ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul>Optimization Engineering<ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul>Data Engineering & Operationalization<ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul>
2026-10-21T00:00:00Z

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

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