Data engineer jobs in Coon Rapids, MN

Job Title: Data Engineer Job Type: Contract to Hire USC of GC Holders only for contract to hire need having no sponsorship Must have requirements: GCP, SQL, Python, Airflow System design mindset Communication - ability to vocalize what they are doing, what/how they are achieving their work. Accents not an issue as long as they are comprehendible. Healthcare not required, but a nice to have. Location: Onsite - any 4 office location, focus is Minneapolis, Arlington, VA, Portland, OR, Raleigh, NC 100% onsite, then switch to 2-3x/week hybrid if they do well Job Summary: The Senior Cloud Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) BigQuery. The incumbent will collaborate with data analysts, data scientists, and other engineers to ensure timely access to high-quality data for data-driven decision-making across the organization. The Senior Cloud Data Engineer is a highly technical person that has mastered hands-on coding in data processing solutions and scalable data pipelines to support analytics and exploratory analysis. This role ensures new business requirements are decomposed and implemented in the cohesive end-to-end designs that enable data integrity and quality, and best support BI and analytic capability needs that power decision-making. This includes building data acquisition programs that handle the business's growing data volume as part of the Data Lake in GCP BigQuery ecosystem and maintaining a robust data catalog. This is a Senior Data Engineering role within Data & Analytics' Data Core organization working closely with leaders of the Data & Analytics. The incumbent will continually improve the business's data and analytic solutions, processes, and data engineering capabilities. The incumbent embraces industry best practices and trends and, through acquired knowledge, drives process and system improvement opportunities. Responsibilities: • Design, develop, and implement data pipelines using GCP BigQuery, Dataflow, and Airflow for data ingestion, transformation, and loading. • Optimize data pipelines for performance, scalability, and cost-efficiency. • Ensure data quality through data cleansing, validation, and monitoring processes. • Develop and maintain data models and schemas in BigQuery to support various data analysis needs. • Automate data pipeline tasks using scripting languages like Python and tools like Dataflow. • Collaborate with data analysts and data scientists to understand data requirements and translate them into technical data solutions. • Leverage DevOps Terraform (IaC) to ensure seamless integration of data pipelines with CI/CD workflows. • Monitor and troubleshoot data pipelines and infrastructure to identify and resolve issues. • Stay up-to-date with the latest advancements in GCP BigQuery and other related technologies. • Document data pipelines and technical processes for future reference and knowledge sharing. Basic Requirements: • Bachelor's degree or equivalent experience in Computer Science, Mathematics, Information Technology or related field. • 5+ years of solid experience as a data engineer. • Strong understanding of data warehousing / datalake concepts and data modeling principles. • Proven experience with designing and implementing data pipelines using GCP BigQuery, Dataflow and Aiflow. • Strong SQL and scripting languages like Python (or similar) skills. • Experience with data quality tools and techniques. • Ability to work independently and as part of a team. • Strong problem-solving and analytical skills. • Passion for data and a desire to learn and adapt to new technologies. • Experience with other GCP services like Cloud Storage, Dataflow, and Pub/Sub etc. • Experience with cloud deployment and automation tools like Terraform. • Experience with data visualization tools like Tableau or Power BI or Looker. • Experience with healthcare data. • Familiarity with machine learning, artificial intelligence and data science concepts. • Experience with data governance and healthcare PHI data security best practices. • Ability to work independently on tasks and projects to deliver data engineering solutions. • Ability to communicate effectively and convey complex technical concepts as well as tasks / project updates. The projected hourly range for this position is $78 to $89. On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.

We are seeking a Data Scientist to deliver predictive analytics and actionable insights that enhance financial forecasting and supply chain performance. This role will partner with business leaders and analysts to design models that inform strategic decisions. You will work primarily within Microsoft Fabric, leveraging Delta Lake/OneLake and Medallion Architecture (Bronze-Silver-Gold) to build scalable solutions and lay the groundwork for future AI-driven capabilities. This is a full-time, direct hire role which will be onsite in Mendota Heights, MN. Local candidates only. Target salary is between $120,000-140,000. Candidates must be eligible to work in the United States without sponsorship both now and in the future. No C2C or third parties. Key Responsibilities Develop and deploy machine learning models for cost modeling, sales forecasting, and long-term work order projections. Analyze large, complex datasets to uncover trends, anomalies, and opportunities for operational improvement. Collaborate with finance, supply chain, and business teams to translate challenges into data-driven solutions. Work with engineering teams to create robust pipelines for data ingestion, transformation, and modeling using cloud-native tools. Utilize Azure services (Data Lake, Synapse, ML Studio) to operationalize models and manage workflows. Present insights through clear visualizations and executive-level presentations. Contribute to governance standards, audit trails, and model documentation. Qualifications Education & Certifications Bachelor's degree required; Master's in Computer Science, IT, or related field preferred. Cloud certifications (Azure or similar) are a plus. Experience & Skills 5+ years as a Data Scientist or similar role. Hands-on experience with Microsoft Fabric, Azure Synapse, and related cloud technologies. Proficiency in Python, R, SQL, and visualization tools (Power BI, Tableau). Strong background in financial modeling, cost allocation, and supply chain analytics. Familiarity with Oracle and Salesforce UI navigation is helpful. Excellent business acumen and ability to communicate complex concepts to senior leadership. Strong problem-solving skills and ability to design scalable solutions. Preferred Experience with Azure Machine Learning. Knowledge of Jitterbit is a plus. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

About the Company A global leader in the alternative investment and asset management space is expanding its Data & Analytics capabilities. The firm oversees multi-billion-dollar portfolios across credit, real estate, private equity, lending, and structured investments and maintains a high-performance, data-driven culture committed to integrity, innovation, and excellence. Position Overview We are hiring a Senior Data Engineer to join the Data & Analytics team and drive the evolution of our cloud-based data ecosystem. This individual will architect scalable data pipelines, optimize cloud infrastructure, and enable advanced analytics across multiple business units. The role is based in Minneapolis and requires close collaboration with investment, operations, and technology teams. Key Responsibilities Data Engineering Design, build, and optimize reliable ETL/ELT pipelines for large-scale data ingestion and transformation. Modernize and enhance the current data ecosystem to support high-quality, consistent data delivery. Manage cloud-based data infrastructure, including resource deployment, configuration, and performance tuning. Monitor system health, troubleshoot pipeline issues, and streamline processes for speed and efficiency. Implement robust data security, governance, and privacy controls for sensitive financial data. Stay updated with emerging technologies and best practices in cloud data engineering. Analytics & Business Enablement Develop data models, tools, and frameworks that support self-service analytics across the organization. Translate business needs into data-driven solutions such as dashboards, metrics, and analytical tools. Mentor analysts and help strengthen analytical maturity across the company. Support commercial and custom applications through configuration, administration, and maintenance. Required Qualifications Bachelor's degree in a STEM discipline (Computer Science, Engineering, Math, etc.). 10+ years overall experience in data engineering or analytics roles. 5+ years designing and maintaining ETL/ELT pipelines. 5+ years experience with data warehouses and analytics platforms. 5+ years strong SQL experience working with complex datasets. 5+ years experience with business intelligence tools (Looker, Power BI, Sigma, Tableau, Cognos, etc.). 5+ years scripting in Python or Scala. 5+ years cloud experience, preferably AWS. 5+ years working with data governance, data quality, and related tools. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.). Familiarity with the alternative investments / private equity / hedge fund domain preferred. Strong communication, stakeholder management, and cross-team collaboration skills. Ability to thrive in a fast-paced environment with multiple competing priorities. U.S. Citizen or Permanent Resident only (ITAR requirement). Must work onsite 3-4 days/week in Minneapolis - no remote or hybrid exceptions Note: This role requires U.S. Citizenship or Permanent Residency (ITAR compliance). Candidates must already live in Minneapolis or be willing to relocate prior to start. Onsite attendance 3-4 days per week is mandatory - no remote exceptions. Do not apply if you are OPT students with STEP OPT EAD; Due to ITAR Complaince, position requires USC or Green Card which is mandatory;

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Hello , I hope this mail finds you well. Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to Federal, Commercial State, and Local Agencies. We are a subsidiary of Radiant Digital Solutions. Our Technology support to many DoD Agencies, NASA, Voice of America, FDA, and State Agencies such as State of FL, RI, MS, ND, VA, and WV extends our delivery of solutions worldwide. We are looking for a AirWatch MDM Engineer position at Onsite- St Paul, MN The position details are as follows. If you are interested in applying for this requirement, please do respond with your updated resume and the details requested below. Request you to make sure your updated Resume highlights all the below-mentioned required Skills & Experience. Position: AirWatch MDM Engineer Duration: 12 Months+ Approx. Location: Onsite - St Paul, MN Job Description: Educational Qualifications Bachelor's degree in computer science, Information Technology, or a related field Minimum Qualifications 3 years of hands-on experience with VMware Workspace ONE / AirWatch administration. 2 years of combined experience using Air Watch MDM software, mobile OS platforms, and enterprise mobility architecture 2 years of experience with cellular activations on Vendor portals such as Verizon, AT&T and T-Mobile. 1 year of combined experience with Microsoft Intune, Azure AD, and Microsoft Endpoint Manager. Desired Skills Experience with Intune deployment or migration projects. Microsoft certifications (e.g., MD-102, SC-300, or AZ-104). Knowledge of Zero Trust principles and conditional access policies. Experience integrating MDM with identity and access management solutions. Experience with PowerShell scripting or other automation tools.

12-month assignment with possibility for extension We are seeking an experienced AirWatch MDM Engineer to manage and support enterprise mobile device management (MDM) solutions. The role involves maintaining the existing VMware Workspace ONE / AirWatch platform, providing advanced technical support, and leading migration efforts to Microsoft Intune. This position requires strong troubleshooting skills, collaboration with security teams, and the ability to work independently in a fast-paced environment. Key Responsibilities Maintain and administer the AirWatch MDM platform, including: Device enrollment and lifecycle management Policy configuration and compliance monitoring Application deployment for iOS, Android, and Windows devices Provide Tier 2/3 support for mobile device issues across multiple platforms. Manage vendor portals (Verizon, AT&T, T-Mobile) for cellular activations and support. Collaborate with security and compliance teams to ensure alignment with organizational standards. Monitor system performance, generate reports, and implement improvements for security and user experience. Lead assessment, planning, and phased migration from AirWatch to Microsoft Intune: Stakeholder engagement Pilot testing Documentation Develop and maintain technical documentation, SOPs, and knowledge base articles. Stay current with industry trends and best practices in endpoint management and mobile security. Perform knowledge transfer and provide guidance to internal teams. Minimum Qualifications 3+ years of hands-on experience with VMware Workspace ONE / AirWatch administration. 2+ years of experience with AirWatch MDM software, mobile OS platforms, and enterprise mobility architecture. 2+ years of experience managing cellular activations via vendor portals (Verizon, AT&T, T-Mobile). 1+ year of experience with Microsoft Intune, Azure AD, and Microsoft Endpoint Manager. Desired Skills Experience with Intune deployment or migration projects. Microsoft certifications (e.g., MD-102, SC-300, AZ-104). Knowledge of Zero Trust principles and conditional access policies. Experience integrating MDM with identity and access management solutions. Proficiency in PowerShell scripting or other automation tools. #MDMEngineer #AirWatch #MicrosoftIntune #EndpointManagement #AzureAD #ZeroTrust #ITJobs #EnterpriseMobility

MNSITE 2.0 Request for a Staff Augmentation Event The following document contains the samples tasks and qualifications for this MNSITE 2.0 Event. Sample Tasks and Key Responsibilities: • Maintain the existing AirWatch MDM platform, including device enrollment, policy configuration, application deployment, and compliance monitoring for iPhones, iPads and Android devices. • Provide Tier 2/3 support for mobile device issues across iOS, Android, and Windows platforms. • Maintain Verizon, AT&T and other Vendor Support Portals for cellular devices • Collaborate with security and compliance teams to ensure mobile device policies align with organizational standards. • Monitor system performance, generate reports, and implement required improvements to enhance user experience and security posture. • Work on the assessment, planning, and phased migration from AirWatch to Microsoft Intune, including stakeholder engagement, pilot testing, and documentation. • Develop and maintain technical documentation, SOPs, and knowledge base articles. • Keep the Met Council leadership updated and current with industry trends and best practices in endpoint management and mobile security. • Demonstrate excellent troubleshooting, communication, and documentation skills. • Demonstrate ability to work independently and collaboratively in a fast-paced environment. • Knowledge transfer Minimum Qualifications • 3 years of hands-on experience with VMware Workspace ONE / AirWatch administration. • 2 years of combined experience using Air Watch MDM software, mobile OS platforms, and enterprise mobility architecture • 2 years of experience with cellular activations on Vendor portals such as Verizon, AT&T and T-Mobile. • 1 year of combined experience with Microsoft Intune, Azure AD, and Microsoft Endpoint Manager. Desired Skills • Experience with Intune deployment or migration projects. • Microsoft certifications (e.g., MD-102, SC-300, or AZ-104). • Knowledge of Zero Trust principles and conditional access policies. • Experience integrating MDM with identity and access management solutions. • Experience with PowerShell scripting or other automation tools.

Job Title: SharePoint Engineer II Introduction We are seeking a highly skilled SharePoint Engineer II to join our End User Technology - Productivity Tools team, responsible for enterprise collaboration and productivity platforms across Microsoft 365. This role plays a critical part in administering and engineering SharePoint Online environments, ensuring secure, scalable, and efficient collaboration solutions. The ideal candidate will combine deep expertise in SharePoint administration with strong automation and integration skills, driving modernization efforts and enhancing user productivity. Roles and Responsibilities Administer and manage SharePoint Online tenant and site collections, including site templates, hubs, term store, content types, app catalog/add-ins, sharing policies, retention labels, and search configurations. Maintain governance and lifecycle management at scale. Collaborate with business owners to design modern site architectures (communication and team sites), navigation, and metadata strategies to improve content findability and user adoption. Implement and enforce role-based access controls, group permissions, and external sharing policies. Conduct audits to identify and remediate permission drift, supporting least-privilege security models. Lead and support classic-to-modern migration projects, performing content inventory, page and web part modernization, workflow replacements, and post-migration stabilization including training and documentation. Develop, maintain, and optimize operational scripts and automation workflows using PowerShell (including PnP and Graph modules) and Azure Automation runbooks for provisioning, compliance enforcement, reporting, and policy management. Utilize Microsoft Graph API and SharePoint REST API to integrate SharePoint with enterprise workflows, external data sources, and approval processes, creating lightweight custom extensions as needed. Provide advanced (3rd-level) technical support and troubleshooting for complex SharePoint and Microsoft 365 collaboration issues, including root cause analysis and incident response. Produce detailed documentation such as SOPs, runbooks, migration playbooks, and quick-start guides. Deliver targeted training sessions for site owners and administrators. Collaborate with solution architects to evaluate and recommend new capabilities. Mentor junior team members to build overall team expertise and capacity. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field preferred. 5+ years of experience deploying, managing, and administering SharePoint Online within Microsoft 365, including tenant-level governance, site provisioning, app catalog management, search, and security/compliance. 3+ years of hands-on experience with PowerShell scripting (including PnP and Graph modules) and Azure Automation for operational task automation and reporting. 3+ years working with Microsoft Graph API and SharePoint REST API to extend and integrate SharePoint solutions. Proven experience supporting classic-to-modern SharePoint migrations, including content inventory, page modernization, web part remediation, and workflow replacement. Solid understanding of IT Service Management (ITSM) processes, with practical experience using tools such as ServiceNow for incident, change, and problem management. Strong analytical, problem-solving, and communication skills with the ability to work effectively in a hybrid team environment. Preferred: Experience with Azure AD/Entra ID (dynamic groups, conditional access), Power Platform governance, and cross-service integrations (Teams, OneDrive, Viva). Familiarity with cloud platforms such as Azure, AWS, or GCP, and CI/CD pipelines using GitHub Actions or Azure DevOps for infrastructure as code and SharePoint automation. Exposure to enterprise monitoring and analytics tools like Nexthink to drive adoption and performance improvements. Tools and Technologies SharePoint Online (tenant and site-level administration) PowerShell (including PnP PowerShell, Microsoft Graph PowerShell) Microsoft Graph API SharePoint REST API Azure Automation ServiceNow (or equivalent ITSM platforms) Azure AD/Entra ID Microsoft 365 collaboration tools (Teams, OneDrive, Viva) Cloud platforms: Azure, AWS, GCP (preferred) CI/CD tools: GitHub Actions, Azure DevOps (preferred)

Identity & Access Management (IAM) Engineer Our health and fitness client is seeking a strategic and technically proficient IAM Engineer to lead the design, implementation, and evolution of enterprise-wide identity and access management solutions. This role is ideal for a seasoned professional who combines deep technical expertise with architectural vision and thought leadership. You will play a critical role in shaping the organization's IAM strategy, driving innovation, and ensuring robust security practices as the company scales. Key Responsibilities Design and implement secure authentication and authorization frameworks using Azure Active Directory, including policies, conditional access, and MFA. Lead the configuration and optimization of SailPoint IdentityNow/IdentityIQ for identity lifecycle management, access governance, and provisioning. Oversee the deployment and integration of Ping Identity solutions (PingFederate, PingAccess, PingID) to support SSO, federation, and adaptive access controls. Provide architectural guidance and hands-on support for SharePoint access controls and IAM integrations. Collaborate cross-functionally with IT, security, and business stakeholders to define IAM requirements and translate them into scalable, compliant solutions. Conduct regular audits, monitor IAM systems, and drive remediation efforts to maintain a strong security posture. Serve as a subject matter expert and internal consultant on IAM technologies, protocols (SAML, OIDC, OAuth), and best practices. Stay ahead of industry trends and emerging technologies to continuously enhance IAM capabilities and influence strategic direction. Mentor junior engineers and contribute to the development of IAM standards, documentation, and governance models. Qualifications 3+ years of progressive experience in Identity & Access Management engineering, architecture, or administration. Proven expertise in Azure Active Directory, including advanced policy configuration and conditional access. Experience utilizing CyberArk Deep hands-on experience with SailPoint (IdentityNow or IdentityIQ) and Ping Identity platforms. Strong understanding of authentication protocols (SAML, OIDC, OAuth) and federated identity models. Experience designing and implementing IAM solutions in cloud-first or hybrid environments. Familiarity with SharePoint access management and integration with IAM tools. Demonstrated ability to lead complex IAM projects and influence cross-functional teams. Excellent communication and stakeholder engagement skills, with the ability to translate technical concepts into business value. Strategic mindset with a proactive, collaborative, and solution-oriented approach. Additional Qualifications Exposure to cloud security architectures and broader cybersecurity domains. Familiarity with cybersecurity frameworks such as NIST, ISO, or CIS. Experience contributing to IAM governance, policy development, and risk management initiatives.

DOCSI is seeking a talented, driven software engineer to join our engineering team. We need a passionate and creative mind to help us continue building our cutting edge surgical waste elimination platform. The person who accepts this role will not only work closely with our Director of Engineering, but they will also benefit from full exposure to the inner workings and decision making challenges of an early stage startup. They will inevitably be called upon to contribute to significant decisions that impact the technical direction of the company. They should also be willing and able to grow into a technical or people management role as the engineering team grows. This role will: Work alongside the Director of Engineering and other DOCSI engineers to expand and maintain our software solution. Design and build new user experiences that streamline the complex and confusing process of managing surgical waste. Inform the creation of machine learning tools to amplify the quality of surgical waste reduction recommendations. Create seamless data pipelines and integrations that enable our highly scalable, always available platform. Influence and guide critical design discussions that determine the future direction of our product. Gain access and connections to key members of the Twin Cities startup community. Help shape the culture of a new and growing engineering team. Minimum Qualifications: 4+ years of experience working as a software engineer or similar role Experience in web development with one or more of the following languages/frameworks: PHP, React, Python, Java Expertise working with relational database systems such as MySQL or PostgreSQL Demonstrable experience leading technical projects from start to finish (with or without assistance from other team members) An understanding of building systems to scale with large, often inconsistent data imports Action driven self-starter who enjoys improving existing processes A lifelong learning mindset with a desire to explore new ideas and connect them to their work Ability to work in an often ambiguous, fast-paced environment Bonus Qualifications: Previous work with PHI or other sensitive data. Experience undergoing compliance audits is even better Experience in designing seamless, mobile-friendly user experiences A history or deep interest in working in startups or early-stage companies A background/experience in healthcare and/or supply chain (Extra plus) Experience specifically with Laravel, Apache Spark, Terraform, and/or AWS cloud services Salary and Benefits: Expected salary range is between $100,000 - $140,000 An equity package relative to the candidate's skills and experience Unlimited vacation policy A healthcare stipend is available, full healthcare benefits will be available in 2026

At TempWorks, the Senior Software Engineer is responsible for creating software that delights our customers and users in a way that is also easily maintainable. The Senior Software Engineer is responsible for leading the design, development, and implementation of software solutions. You will collaborate closely with cross-functional teams to understand requirements, design scalable architectures, and deliver robust, efficient software products. General Responsibilities: Research, design, implement, and maintain software features through ongoing feature development, refactoring, and by addressing bugs. Build highly performant, fault tolerant, high-quality, scalable software. Actively seek to learn and improve the company, department, team, and themselves. Develop intuitive software that meets the needs of the company and our customers. Leverage technical knowledge, skills, and experience to improve department processes and software quality. Write quality unit and integration tests. Analyze and test programs and products before formal launch. Contribute and adhere to best practices in software development. Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives. Communicate with and train stakeholders on completed work for documentation, customer training, troubleshooting, and quality. Provide mentoring for other Software Engineers. Perform code reviews and provide constructive feedback. Stay up to date with emerging technologies and trends in software development and recommend new tools and techniques to improve efficiency and productivity. Participate in architectural discussions and contribute to the continuous improvement of development processes and methodologies. Participate in educational opportunities like online course materials, professional publications, conferences, meet-ups, etc. Performs other related duties as assigned. Additional Required Skills and Abilities: Excellent verbal and written communication skills. Excellent interpersonal and customer service skills. Strong architectural and design skills, with the ability to architect complex systems and make informed technical decisions. Analytical and creative problem solving. High level of organization and attention to detail. Ability to work independently. Education and Experience: Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 5+ years of relevant experience developing enterprise scale, web-based software applications. 4+ years of C# experience. 2+ years of Microsoft SQL database experience required (4+ preferred). 4+ years' experience developing applications using RESTful APIs. 4+ years' experience developing REST API driven applications using C# .NET framework and/or ASP.NET. Expertise in front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js), React preferred. Experience with version control systems (e.g., Git) to manage source code and facilitate collaboration within the development team. Experience with testing and mocking frameworks (e.g., MSTest, NUnit, XUnit, Moq) Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and DevOps practices. Azure preferred. Experience with CI/CD, preferably Azure YAML pipelines. Experience with static and dynamic code analysis tools (e.g., SonarQube, Veracode, ReSharper). Experience with one or more of the following required: Domain Driven Design, event-based architecture, distributed systems, microservices, clean architecture, 12-factor App. Physical Requirements: Prolonged periods sitting at desk and working on a computer. Must be able to lift to 10 pounds at times.

Top Technical Skills & Requirements Programming Expertise: 3+ years of hands-on experience with C# and Python, including building scalable applications and integrating ML models. API Development & Management: Experience designing, building, and managing RESTful API endpoints using C# (.NET) and Python (FastAPI), with a focus on performance, security, and maintainability. Cloud ML Deployment: Proven experience in end-to-end deployment, monitoring, and maintenance of ML models on Azure (preferred) or AWS, including CI/CD pipelines and MLOps practices. Deep Microsoft Azure Experience: Extensive hands-on experience with Azure services including Azure Machine Learning, Azure AI Foundry, Azure Functions, and Azure DevOps, enabling scalable and secure AI/ML solutions across enterprise environments. Azure AI Foundry: Practical experience leveraging Azure AI Foundry for model development, orchestration, and deployment. Applied Data Science: Strong background in data exploration, feature engineering, model selection, and validation across supervised and unsupervised learning tasks. Key Responsibilities AI Solution Development & Deployment Architect and implement AI/ML solutions using Azure Machine Learning, Azure AI Foundry, Cognitive Services, and Azure OpenAI. Build and deploy NLP and LLM-based models, utilizing frameworks such as LangChain, Semantic Kernel, or LlamaIndex. Design and implement Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search to enhance generative AI capabilities. Develop and manage RESTful API endpoints using C# (.NET) and Python (FastAPI) to serve ML models and data services. Implement CI/CD pipelines and MLOps workflows using Azure DevOps and GitHub for scalable and automated model deployment. Leverage Terraform for infrastructure-as-code (IaC) to provision and manage Azure cloud resources in a repeatable and secure manner. Model Lifecycle Management Lead end-to-end ML model lifecycle including data exploration, feature engineering, model training, validation, and deployment. Monitor and maintain deployed models in production environments, ensuring performance, reliability, and scalability. Apply best practices in model versioning, automated retraining, and performance monitoring using Azure ML and related tools. Quality Assurance & Governance Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance. Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness. Stay current with industry trends and best practices in AI technology, incorporating them into solution development. Education & Experience Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable) 3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs. Experience in a consulting environment, engaging with clients and delivering tailored solutions. Preferred Consulting Experience Collaborate with sales and delivery teams to scope and design AI solutions tailored to client needs. Contribute to proposal development, including technical architecture, effort estimation, and value articulation. Deliver technical presentations and demos to stakeholders, showcasing solution capabilities and business impact. Equal opportunity employer including disability/veterans.

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE. JOB SUMMARY: The Data Scientist role is responsible for using their skillset to create recommendations for complex business decisions for Marketing at Polaris using a wide variety of data science techniques - from exploratory data analysis to predictive analytics. In addition to advanced analytics skills, the ideal candidate is proficient at integrating and preparing large and varied datasets, designing and implementing production algorithm scoring, and communicating results effectively to both technical and non-technical audiences. Your focus will be on Marketing Analytics across Polaris, optimizing decisions related to marketing personalization, channel performance and media investment. You are primarily a data scientist but are passionate about developing advanced end-to-end analytics and technology solutions that drive value for the business and customer. Our Data Scientists are instrumental in using data to help drive Polaris forward as we pioneer product breakthroughs and enriching experiences that help people work and play outside. ESSENTIAL DUTIES & RESPONSIBILITIES: Acquire a deep understanding of marketing and business problems facing Polaris and develop end-to-end data driven solutions Extract, cleanse, and combine large datasets from multiple sources and systems Perform exploratory and targeted analyses, with a wide variety of statistical methods including clustering, regression, decision tree/random forest, time series, neural network, and others Collaborate cross-functionally to arrive at actionable insights Synthesize results with business input to drive measurable change and effectively communicate technical analyses and results to business management Integrate and productionize model results into both cloud and edge compute hardware platforms Ensure quality of data & solutions throughout development process Utilize existing templates to diligently write up findings and results for storage in a central location Collect feedback from business users to continuously improve data science products Manage suite of customer, personalization, and marketing algorithms and apply to business problems Marketing test design and best practices for measurement Leverage knowledge of marketing operations to identify opportunities for new marketing algorithms and new variables to introduce into existing algorithms Developing new in platform marketing measurement tools with Meta, Tradedesk and Google Support development of innovative Marketing capabilities that leverage technology advancements by synthesizing complex datasets and providing predictive algorithms Support Marketing team with statistical expertise consulting and apply to test results or marketing performance SKILLS & KNOWLEDGE Bachelor's degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent. Advanced degree in a quantitative field preferred 2+ years of professional work experience (post schooling & internships) in a predictive analytics-focused role Strong understanding of statistical methods and predictive/analytical modeling techniques and practices Strong experience with one or more data mining/predictive modeling tools: SQL, R, Python, Snowflake Proficient with one or more data visualization tools: Tableau, Power BI Experience with data preparation, rationalization, and processing in a cloud environment - Azure a plus Ability to effectively foster cross-functional relationships across various teams (e.g., data & analytics teams, sales, supply chain, etc.) and develop a good view of how the business operates so that analytical results can be framed in a business context. Excellent attention to detail and strong organizational skills to manage multiple work requests and projects. Ability to take on diverse ad-hoc data science requests involving multiple factors that have various scope/goals High energy and results oriented. Looking to make improvements and change Strong verbal and written communication skills WORKING CONDITIONS Office environment Limited travel may be required This position is not eligible for sponsorship The starting pay range for Minnesota is $85,000 to $112,000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range. #LI-GR1 #LI-Hybrid To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing. We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE. Apply today! At Polaris we put our employees first, by offering a holistic approach to their health and financial wellbeing. Polaris is proud to offer competitive compensation, including a market-leading profit-sharing plan that is fundamental to our pay-for-performance culture. At Polaris, employees are owners of the company through company contributions to our Employee Stock Ownership Plan and discounted employee stock purchases plan. Employees receive a generous matching contribution to 401(k), financial wellness education and consultation to plan for their financial future. In addition to competitive pay, Polaris provides a comprehensive suite of benefits, including health, dental, and vision insurance, wellness programs, paid time off, gym & personal training reimbursement, life insurance and disability offerings. Through the Polaris Foundation and our Polaris Gives paid volunteer time off, we support employees who actively volunteer their time, efforts, and passions to improve the health and wellbeing of the communities in which they live, play and work. Employees at Polaris drive our success and are rewarded for their commitment. About Polaris As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER , RZR and Polaris GENERAL™ side-by-side off-road vehicles; Sportsman all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Indian Motorcycle mid-size and heavyweight motorcycles; Slingshot moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. *************** EEO Statement Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at ************ or ****************************** . To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) .

Must Have Technical/Functional Skills * Hands-on experience with Alation or similar tools (e.g., Collibra, OvalEdge etc). * Strong understanding of metadata management, data lineage, and data quality principles. * Familiarity with cloud platforms (AWS, GCP, Azure) and modern data stacks. * Proficiency in Agile methodologies and tools (e.g., Jira, Confluence). Roles & Responsibilities We are seeking a strategic and technically adept Product Owner to lead initiatives involving the Alation Data Catalog. This role will be responsible for defining and executing the product vision, roadmap, and delivery of data catalog capabilities that enhance data discovery, governance, and literacy across the organization. Job Responsibilities: * Define and maintain the product roadmap for Alation-based data catalog initiatives. * Align catalog capabilities with enterprise data strategy and business goals. * Collaborate with data stewards, analysts, engineers, and business users to gather requirements and feedback. * Act as the primary liaison between business and technical teams. * Create and manage a prioritized product backlog. * Write clear user stories and acceptance criteria for catalog features and enhancements. * Drive adoption of metadata standards, data lineage, and stewardship practices using Alation. * Ensure catalog content is accurate, up-to-date, and aligned with governance policies. * Promote data literacy and catalog usage through training, documentation, and internal advocacy. * Define KPIs to measure catalog adoption and data quality improvements. * Work closely with data engineers and architects to integrate Alation with data sources (e.g., Snowflake, AWS, data pipelining using AWS Glue etc.). * Support automation of metadata ingestion and policy enforcement. * 6+ years of experience in data management, data governance, or product ownership. * Excellent communication and stakeholder management skills. * Identify cost effective opportunities for improvement and recommend solutions to meet customers and user requirements, where appropriate. * Engage with the Automation SME Lead, look for opportunities for team development in a manner consistent with company policy and procedures * Develop internal team processes to ensure the integrity and quality of the service provision is maintained. Where possible, look for and propose opportunities for improvement * Escalate and manage situations arising from customer issues to Manager. Preferred Qualifications: * Experience with SQL and data modeling. * Knowledge of data privacy regulations (e.g., GDPR, CCPA). * Added advantages with background in financial services, Asset Management, or regulated industries is a plus. Salary Range- $120,000-$135,000 a year #LI-SP3 #LI-VX1

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $161,400.00 - $266,300.00 Target Openings 1 What Is the Opportunity? As a Staff Data Scientist, you will build complex models that solve key business problems to support underwriting, risk control, and business operations. This may include the use of the most advanced technical tools in the data science practice, allowing you to develop sophisticated solutions that enhance risk segmentation, streamline decision-making processes, and drive operational excellence across these critical business functions. What Will You Do? * Lead business or technical projects focused on the design or development of analytical solutions. * Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. * Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. * Begin to challenge conventional thinking where appropriate. * Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. * Guide technical strategy of teams through own technical expertise. * Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. * Communicate analysis, insights, and results to team, peers, business partners. * Partner with cross-functional teams and leaders to support the successful execution of data science strategies. * Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. * Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Subject matter expertise in modeling/ research/ analytics or actuarial required * Subject matter expertise in value creation and business model concepts * Subject matter expertise in multiple statistical software programs * Ability to develop highly complex models, interpret model results and recommend adjustments * Expertise in advanced statistics underlying data models * Ability to apply emerging statistical procedures to complex work * Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? * Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five years of experience or any suitable and equivalent combination of education and work experience. * Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? * Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment. * Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. * Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. * Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. * Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

Ameriprise Financial, Inc. seeks a Director - Data Scientist, in Minneapolis, MN. Key Responsibilities To identify, develop, and implement analytical solutions, while leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, and optimization solutions. Identify/interpret business needs, define high-level business requirements, strategy, technical risks, and scope, and engage with business leaders and analysts to provide analytical thought leadership for business problems. Remote work permitted 2 days per week. #LI_DNI Required Qualifications Master's degree in business analytics, statistics, or a related field, plus 3 years of experience in the following: advanced statistical concepts and techniques with skills in linear algebra; conducting hands-on analytics projects using advanced statistical methods, including generalized regression models, Bayesian methods, Random Forest, gradient boosting, neural networks, machine learning, and clustering; statistical programming (SAS, Python, SQL) and data visualization software in a data-rich environment. Salary Range: $165,800 - $194,600. To apply, please visit joinameriprise.com. Job Req #R25_0000003908. General information on company benefits, and other compensation, including health and retirement, can be found at ******************************************************* About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $165,800 - $194,600 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business MARKT Marketing

Consultant, Reporting & Data Analysis - 180000X3) As a Consultant on the CWT Business Insights team, you will take a consultative approach to deliver data insights to solve business problems. You will manage all aspects of two Fortune 500 global client's travel data and reporting programs. This role resides within the global consulting organization, partnering with account teams and the client to optimize travel costs and manage global corporate travel programs. You will increase the client's analytics maturity level by implementing a managed reporting program, developing and enforcing management information standards, establishing data quality processes and procedures, distributing recurring reporting, providing complex ad hoc analyses, and delivering data insights. At Carlson Wagonlit Travel, we have a unique and compelling culture as a global leader in business travel management that is defined by our people and supported by our Core Values. Our employees feel a genuine respect for one another, act with uncompromising integrity and feel proud of our global market leadership. They value working together, embrace opportunities for continuous learning and have an intense desire to serve customers. Description •Solve business problems by delivering complex analytical projects investigating key drivers in areas such as policy compliance, demand management, or supplier management and lead conversations to discuss findings and recommendations. •Implement analytic methodologies, models, reports and processes on behalf of client. •Responsible for client analytics, recurring and ad hoc reporting and recommendations; consult with and present outcomes of analyses to account teams and clients. •Design and develop dashboards that helps lead client to make informed business decisions. •Monitor the evolution of operational changes that will directly impact data collected and identify report developments required to maintain integrity. •Enforce compliance of data quality by working closely with local operations teams to identify and correct issues. •Communicate effectively across a variety of stakeholder groups, including both technical and non-technical audiences. •Establish and maintain relationships with client and internal stakeholders across multiple departments and functions. •Identify and champion innovation opportunities and areas to change or improve current practices, policies, or services. •Key owner in compilation, analysis, and presentation of recurring business reviews between account team and client. Qualifications Qualifications •Bachelor's degree in Business/Management, Finance, Information Science, Mathematics/Statistics, Economics, or related field •Travel industry experience highly preferred •Experience in data modeling, data analysis, data consolidation, and data management •Advanced technical skills with experience utilizing report generation and visualization technologies (like IBM Cognos, Tableau, etc.) •Experience conducting complex analysis on large sets of data, including the understanding of data flow and integration of various data feeds to make decisions •Previous experience in a client facing or consultative role •Ability to establish rapport and effectively influence at all levels within an organization •Ability to communicate effectively and present complex data to a wide variety of audiences •Highly organized, with ability to manage projects and prioritize multiple tasks •Demonstrated leadership and initiative: leading self, teams, and the client •Sound judgment, advanced problem solving and decision making capabilities •Drive to deliver timely resolution to issues through diagnostics, testing, action plans, recommendations, and implementation •Experience working in a highly matrixed and global environment with a variety of key stakeholders*LI-NK Primary Location: MinnetonkaEmployment type: StandardJob Family: ConsultingScope: GlobalTravel: Yes, 5 % of the TimeShift: Day JobOrganization: Customer_GPS & ERMExperience Level: 3 to 5 years Job Posting: Jun 7, 2018 As an Equal Opportunity Employer/Affirmative Action employer, the organization will not discriminate in its employment practices due to an applicant's race, color, religion, sex, national origin, veteran status, disability status, sexual orientation, gender identity or any other federal, state or local protected class

Who We Are Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve health and reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we're shaping a healthier, more engaged future. Responsibilities Role Overview : The Data Engineer II is a key contributor within our data engineering team, responsible for developing and enhancing data pipelines, troubleshooting data issues, and supporting cross-functional data needs. In this role, you will collaborate closely with account management, ETL, data warehouse, business intelligence, and reporting teams to ensure reliable, scalable, and high-quality data solutions. You will also serve as a mentor to junior team members, helping to guide, onboard, and train Data Engineer I staff. The ideal candidate has strong experience working with both relational and non-relational data models and brings a detail-oriented, problem-solving mindset to every project. What You'll Actually Do * Extract, cleanse, and load data from various internal and external sources * Develop and maintain data pipelines using SQL, Kafka, and other modern data engineering technologies * Investigate, analyze, and document new data sets, ensuring structure, quality, and proper integration * Triage incoming bugs and incidents, identifying root causes and driving timely resolutions * Perform technical operations tasks to support ongoing data infrastructure and workflow reliability * Investigate and troubleshoot issues related to data quality, data flow, and pipeline performance * Participate in sprint refinement, planning, and kickoffs, providing story estimates and highlighting key technical considerations * Monitor data pipeline performance and proactively raise awareness when failures or risks are detected * Define, implement, and maintain quality assurance rules to ensure consistent, accurate, and reliable data across systems Qualifications Data Architecture & Modeling * Strong understanding of relational and non-relational database models, with the ability to select and design the right model for the use case * Experience building and maintaining ETL pipelines, ensuring data quality, performance, and scalability * Ability to conduct thorough code and data reviews to ensure accuracy, completeness, and adherence to standards Technical Proficiency * Advanced SQL expertise, including: * Window functions * Pivots * Complex joins and subqueries * Date/time calculations * Proficient in Python, with experience writing reusable, production-ready code * Hands-on experience working with REST APIs and JSON, including parsing and transforming API output into normalized relational structures * Experience with AWS Lambda and AWS Console (preferred) * Experience with Git or similar version control tools (preferred) Analytics & Tools * Proficient in Excel and able to perform advanced data manipulation * Experience with one or more Business Intelligence / data visualization tools such as: * Tableau * MicroStrategy * Power BI * Ability to translate complex data sets into clear, actionable insights for technical and non-technical stakeholders Core Attributes * Highly detail-oriented, with strong problem-solving and data validation skills * Ability to manage multiple data streams, prioritize effectively, and operate in a fast-paced environment * Strong communication skills and a collaborative approach when working with engineering, product, and analytics teams Education and Experience * 2+ years of experience in Data Engineering, working with modern data architectures and production grade data pipelines * Bachelors degree or certification in Computer Science, Information Technology, or a related technical field Why You'll Love It Here We believe in total rewards that actually matter-not just competitive packages, but benefits that support how you want to live and work. Your wellbeing comes first: * Comprehensive medical and dental coverage through our own health solutions (yes, we use what we build!) * Mental health support and wellness programs designed by experts who get it * Flexible work arrangements that fit your life, not the other way around Financial security that makes sense: * Retirement planning support to help you build real wealth for the future * Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection * Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage Growth without limits: * Professional development opportunities and clear career progression paths * Mentorship from industry leaders who want to see you succeed * Learning budget to invest in skills that matter to your future A culture that energizes: * People Matter: Inclusive community where every voice matters and diverse perspectives drive innovation * One Team One Dream: Collaborative environment where we celebrate wins together and support each other through challenges * We Deliver: Mission-driven work that creates real impact on people's health and wellbeing, with clear accountability for results * Grow Forward: Continuous learning mindset with team events, recognition programs, and celebrations that make work genuinely enjoyable The practical stuff: * Competitive base salary plus that rewards your success * Unlimited PTO policy because rest and recharge time is non-negotiable * Benefits effective day one-because you shouldn't have to wait to be taken care of Ready to create a healthier world? We're ready for you. No candidate will meet every single qualification listed. If your experience looks different but you think you can bring value to this role, we'd love to learn more about you. Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice. In compliance with all states and cities that require transparency of pay, the base compensation for this position ranges from $90,000 to $125,000. Note that compensation may vary based on location, skills, and experience. This position is eligible for 10% target bonus/variable compensation as well as health, dental, vision, mental health and other benefits.Application Deadline: This position will remain open until 12/5/25 or until a qualified candidate is identified. We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing. #WeAreHiring #PersonifyHealth Beware of Hiring Scams: Personify Health will never ask for payment or sensitive personal information such as social security numbers during the hiring process. All official communication will come from a verified company email address. If you receive suspicious requests or communications, please report them to **************************. All of our legitimate openings can be found on the Personify Health Career Site.

REQUIRED SKILLS/Qualifications: • Bachelor's degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4+ years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, or Software is acceptable. • 5+ years of programming experience with command in at least two languages: SQL (required), Python (required), Java, R, or Spark. • Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server. • 4+ years of experience working with Databricks (or similar platform) within the BI/Analytics space such as Azure Data Factory, Synapse, Data Explorer, Cosmos, App Insights, Power BI, and Databricks. • Hands-on experience leading or supporting SAS-to-Databricks conversion or migration projects, including refactoring legacy data pipelines, translating SAS models or scripts, and optimizing data architecture for modern cloud-native environments. • 3+ years of experience in the areas of Graph databases, Big Data, or Hyper Scale products in Azure. • Experience using Git, or a comparable code repository. • Must be motivated, self-driven, curious, and creative. • Must be a skilled communicator, and demonstrate an ability to work with end users and business leaders. • Demonstrate the ability to support and complement the work of a diverse development and/or operations team. • Experience working in a collaborative, cross-functional team; active participation in sprint reviews. • Expert knowledge and a minimum of four years' experience in the following domains: Data management, software engineering, and infrastructure & operations (I&O). The projected hourly range for this position is $75.00 to $80.00. On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.