Data engineer jobs in Blaine, MN - 942 jobs

About the job We are seeking a highly skilled Cloud Data Transformation Architect/Leader to lead the design, implementation, and optimization of large-scale cloud-based data platforms and transformation initiatives. The architect will play a critical role in defining data strategy and roadmap, modernizing legacy environments, and enabling advanced analytics and AI/ML capabilities. This position requires deep expertise in cloud ecosystems, data integration, governance, and performance optimization, along with strong leadership in guiding cross-functional teams. The Transformation leader will drive the implementation roadmap and work with client leadership to demonstrate the ROI of the modernized platform and transformation roadmap. What you will do at Sogeti Advisory Consulting, Collaboration & Leadership Provide leadership and advisory consulting to client data and analytics leadership Partner with business stakeholders, data leaders, data engineers, and analysts to understand business needs and align with data capabilities Provide CXO level status reporting and communication along with ROI and NPV measurement/reporting Provide technical leadership, mentorship, and best practices for data engineering teams. Serve as the subject matter expert on cloud data and analytics transformation. Data Strategy, Roadmap & Architecture Define and maintain the enterprise cloud data architecture, strategy and roadmap aligned with business objectives. Define key metrics to measure progress and ROI from the roadmap Design end-to-end cloud data ecosystems (data lakes, data warehouses, lakehouses, streaming pipelines). Design metadata-driven architecture and open table formats (Delta Lake, Apache Hudi, and Apache Iceberg) Experienced in implementing cost management measures on Cloud data platforms Evaluate emerging technologies and recommend adoption strategies. Data Transformation & Migration Lead the modernization of on-premises data platforms to cloud-native architectures. Architect scalable, secure, and high-performance ETL/ELT and real-time data pipelines. Ensure seamless integration of structured, semi-structured, and unstructured data. Governance & Security Implement data governance, lineage, cataloging, and quality frameworks. Ensure compliance with regulatory standards (GDPR, HIPAA, SOC 2, etc.). Define data security models for data access, encryption, and masking. BI Modernization Lead the modernization of legacy BI platforms to Power BI Architect and develop Semantic Layer needed for consumption layer - BI, AI etc Optimization & Innovation Drive performance tuning, cost optimization, and scalability of cloud data platforms. Explore opportunities to leverage AI/ML, advanced analytics, and automation in data transformation. Establish reusable frameworks and accelerators for faster delivery. Data Operations: Definition of SLA's/KPI's for Data Platform operations along with the client Tracking and reporting of SLA's/KPI's to executive leadership Identify and rollout solutions for improving SLA/KPI adherence What you will bring Experience: 18+ years in data engineering/architecture, with 5+ years in leading enterprise-scale cloud data transformations. Experience in Healthcare Payer industry Experience defining Enterprise level data strategy and roadmap and driving the implementation for at-least 3 enterprise clients Experience with playing key advisory role for client data and analytics leadership (CDO and direct reports) Hands-on expertise with at least one major cloud provider - Azure is must have AWS,GCP is good to have Experienced in implementing Snowflake on Azure as well as Medallion lakehouse Architecture using Databricks and MS Fabric using open table formats Experienced in various data modelling techniques and standards for cloud data warehouses Experienced in designing and implementing high performing data pipelines; performance tuning expertise is required Experienced with Data Governance implementation with focus on Metadata Management using Alation and Data Quality using Industry standard tools Experienced with BI Modernization from legacy BI platforms to Power BI - Big plus Technical Skills: Data platforms: Snowflake - Must have, Databricks, MS Fabric -Big Plus Synapse, Redshift, Big Query - Good to have Data integration: Azure Data Factory, DBT, Snowpipe, Informatica Power Center, IDMC CDI, Matillion, Kafka Programming: SQL, Python, SnowSQL, SnowPark, PySpark, Scala, or Java. Data Governance: Alation - Must have, Informatica, Collibra, Ataccama - Good to have BI Platforms: PowerBI -Must have, Qlik, SSRS, SAS - Good to have Infrastructure as Code: Terraform, ARM, CloudFormation. Strong understanding of APIs, microservices, and event-driven architectures. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill. **Job Purpose and Impact** + The Senior Professional, Software Engineering job designs, develops and maintains software applications and systems. With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members. **Key Accountabilities** + SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes. + AUTOMATION: Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases. + COLLABORATION: Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs. + TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software. + CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability. + DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations. + TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution. **Qualifications** + Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: + Minimum requirement of 5 years of relevant work experience. Typically reflects 7 years or more of relevant experience. + Experience with GenAI tools + Experience with leading engineering in a complete full-stack development program + Proven experience leading business partnership, requirements gathering, and agile execution in large-scale product development programs **Pay Transparency** The expected salary for this position is $105,000.00-$150,000.00. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: *************************************************************** learn more (subject to certain collective bargaining agreements for Union positions). Equal Opportunity Employer, including Disability/Vet.

Opportunity available for an experienced Back-End Developer for a contract, hybrid role (W2 only; no 3rd parties or C2C) to design, develop, and maintain scalable backend services. The ideal candidate will have strong experience with Java, Kotlin, Spring, and PostgreSQL, along with expertise in building and consuming RESTful APIs and developing microservices architectures. You will collaborate with cross-functional teams to deliver secure, high-performing, and maintainable solutions while contributing to architecture and best practices. Key Responsibilities Design, develop, and maintain microservices-based backend systems and RESTful APIs Build scalable and secure services using Java and Kotlin with Spring / Spring Boot Develop and optimize PostgreSQL database schemas Implement containerized applications using Docker Collaborate with team members using Git and follow established workflows Write clean, testable, and maintainable code Troubleshoot, debug, and resolve backend performance and reliability issues Participate in code and design reviews, contributing to architecture and microservices best practices Support hybrid work model with partial on-site presence as required Required Skills & Qualifications Strong experience with Java and Kotlin Hands-on experience with Spring / Spring Boot Experience developing and maintaining RESTful APIs Experience designing and implementing microservices architectures Proficiency with PostgreSQL or other relational databases Experience with Docker for containerized application development Strong knowledge of Git and collaborative development workflows Understanding of backend performance, scalability, and security best practices ITR Group offers a competitive compensation and benefits package, including medical, dental, and 401(k) for eligible employees. The W2 pay range for this type of role is approximately $80.00 - $90.00 per billable hour. This range is an estimate and not a guarantee of compensation. The final rate will be determined by factors such as experience, market trends, and specific job assignments. Discover more about how ITR Group connects top talent with leading client opportunities.

The Regulatory Engineer is a key member of the Company Global Research & Development team, responsible for ensuring that new and existing products are designed, tested, and documented to meet applicable regulatory and certification requirements. This role focuses on achieving maintaining compliance with Factory Mutual (FM), ATEX, and CE certification standards and works cross-functionally with engineering, manufacturing, and external certification bodies to support successful product launches and lifecycle compliance. Essential Functions • Serve as the regulatory and certification subject matter expert for Factory Mutual (FM), ATEX, and CE requirements throughout product development lifecycle. • Partner with product development, mechanical, electrical, and software engineering teams to integrate regulatory requirements product designs from concept through release. • Interpret applicable standards, directives, and codes (e.g., ATEX Directive, CE marking requirements, FM Approval Standards) and translate them into actionable design and testing requirements. • Develop and maintain regulatory compliance plans, certification strategies, and risk assessments for new and modified products. • Act as the primary technical interface with external certification bodies, notified bodies, and test laboratories. • Documentation Preparation: Prepare and submit regulatory documentation to relevant authorities, ensuring accuracy and completeness. • Cross-Functional Collaboration: Work closely with team in research & development, quality, manufacturing, and supply chain to integrate compliance measures early in the new product development process. • Regulatory Reviews: Conduct regulatory reviews and risk assessments to identify potential compliance issues and recommend solutions. • Monitoring Regulations: Stay updated on changes in regulations and industry standards, advising the organization on necessary adjustments to maintain compliance. • Training and Guidance: Provide training to staff on regulatory requirements and best practices, fostering a culture of compliance within the organization. • Audit Participation: Facilitate regulatory inspections and audits, ensuring that all processes adhere to established standards. • Due to the Global Sales and Distribution of our products, the regulatory standards may include, but are not limited to the following: ATEX, Class 1 - Div 1, UL, CE, UKCA (UK Conformity Assessed), CSA, FM, Machinery Directive and Safety Compliances. Qualifications • Bachelor's degree in engineering or related field is required • 3 to 5 years of experience in a regulatory role for engineered products or systems, with a strong understanding of industry regulations and standards. • Working knowledge of Factory Mutual (FM), ATEX, and CE certification processes and requirements. • Strong analytical and problem-solving abilities. • Excellent communication and collaboration skills. • Proficiency in regulatory software tools and electronic submission processes. •Detail-oriented with strong technical writing skills • Willingness to travel occasionally, including international travel if required.

On-Demand Group is currently seeking for a Principal Software Engineer for a 3-month contract engagement to start. Title: Principal Software Engineer Duration: 3-month contract to hire The Principal Software Engineer position is responsible for delivering successful technical solutions for the Oracle HCM Cloud/Fusion platforms. The individual is responsible for development and support activities with minimal supervision and guidance. A successful candidate will have a solid record of delivering technical solutions under timeline and a proven track record of working efficiently with business, functional, and technical teams. This role's focus is on the development, maintenance, and support of new and existing Oracle EBS and Cloud/Fusion functionality. The Principal Software Engineer will mentor, lead, and indirectly influence internally and cross functionally. ACCOUNTABILITIES: Leads and participates in schedule definition, system design, scope definition and development/selection of software solutions: • Works with a team or independently to research and define user requirements and understand their needs, address those needs, handle problems as they arise, and escalate issues as required. • With minimal direction, works to formulate system scope, objectives, requirements, and design documentation. • Works with a team to provide information and development schedules for assigned work. • Leads the creation of appropriate documentation for all application modifications and new development. • Develops applications/enhancements within client's defined architecture and following the predefined processes/methodologies. • Proactively communicates with and coordinates activities with other team members. Team Support: • Works with team members to develop, maintain and improve critical internal and external production applications. • Works with Infrastructure and Service Desk teams to identify, diagnose and remediate production system issues. • Provides timely status updates for assigned work to the team members and leadership. • Researches the changing marketplace to keep current with technology and upgrades. • Provides production system support as needed. • Mentor, support, guide, and train other team members. • May support or provide technical expertise within team and cross functionally. • Other duties as assigned. REQUIRED QUALIFICATIONS: Knowledge of: • Knowledge of enterprise frameworks, systems integrations, software development and testing methodologies is required • Technical expertise/knowledge of development tools and processes • Strong knowledge of developing interface and conversion routines • Advanced knowledge of the development life cycle including testing process and methods, variable programming fundamentals, conditional execution, data structures, compilation and debugging tools • Advanced knowledge of Agile and object-oriented software development methodologies • Generating process documentation • Familiarity with SDLC • Automated testing / regression testing • Experience in a Scrum/Agile development environment • Knowledge and experience with o SQL, PL/SQL, XML, BI Publisher o Oracle Visual Builder Studio o Oracle Fast Formulas o Linux shell scripts o SOAP XML, WSDL, XML schema, and XSL o RESTful services, JSON o SOA gateway deployments o SOAPUI, XMLSpy, POSTMAN for SOA testing and development o Code management and deployment platforms for Oracle Fusion/PaaS • Knowledge of some or all of Cloud HCM suite of products: o Core HR o Payroll o Learning o Absence Management o Time and Labor o Compensation o Recruiting o Workforce management o Performance management o Goal management o Reporting - OTBI/BI-SQL o Benefits • Opening, managing, and resolving Oracle service requests with Oracle support • Demonstrated knowledge of Oracle suggested standards and approach for delivering EBS and Cloud solutions The projected hourly range for this position is $70 to $80. 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 at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level. As a Lead Data Scientist, you'll be responsible for applying innovative statistical and machine learning methods in a scientifically rigorous manner to dive into the largest and most complex data across the enterprise to answer the most difficult questions that are foundational to driving real-world value by offering deep insight into every aspect of the business. In this role, you will have the opportunity to lead the technical direction for the data science team on the most important strategic efforts to provide analytic thought leadership that drives a data-grounded perspective to help Best Buy think critically and differently about all aspects of our business to improve our core capabilities and unleash the next generation of customer experiences that will transform the way Best Buy operates day-to-day. What you'll do * Leading the application of scientific methods to solve real-world business problems using data across multiple business domains * Developing and implementing cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business including market growth, retail portfolio, customer retention, services, etc. * Employing broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities * Leading discussions with business partners to identify the biggest opportunities to bring Best Buy to the next level and influence key decisions around real products that impact and improve the lives of millions of people * Acting as a mentor for junior data scientists, assign tasks and review for quality and completion * Conducting discussions with technical and non-technical product team members to determine feasibilities of recommended solutions. Collaborating with other engineers and product team members to implement and deploy scalable solutions. * Presenting results of any analyses in a manner that is interpretable and technical approach of machine learning product design to team and leadership. Basic qualifications * Bachelor's degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent experience. * 6+ years of experience in data science, data analysis, data mining or other similar business functions. *Advanced degrees in relevant fields may be counted towards experience requirements. * 2+ years of experience working in cloud platforms (GCP, AWS, Azure) * Advanced proficiency with at least one data science/analytics programming language (Python, R, Julia) * Advanced skills in data wrangling, validating data and solutions, supervised & unsupervised learning, AI & ML frameworks (PyTorch, TensorFlow), designing complex algorithms and statistical models, and applied mathematics & statistics Preferred qualifications * Master's degree or Ph.D in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) * Experience using high performance machine learning and/or data mining frameworks * Experience building distributed data processing pipelines (e.g. Apache Spark, Apache Beam) * 5-8 years hands-on data science experience (in addition to advanced degree) * Ability to effectively communicate technical information to a wide spectrum of cross-functional team members What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include: * Competitive pay * Generous employee discount * Physical and mental well-being support About us As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here. Best Buy is an equal opportunity employer. Auto Req. ID1013942BR Location Number 900010 Corporate 1 MN Address 7601 Penn Avenue South$118677 - $212415 /yr Pay Range $118677 - $212415 /yr

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality. Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data. As part of their role, data engineers are responsible for reducing manual data work and improving productivity; they employ and test innovative tools, techniques and architectures to detect patterns and automate common or repetitive data preparation and integration tasks. ACCOUNTABILITIES: * All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning. * Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other engineers to design technology solutions that achieve measurable results at scale * Collaborate with data scientists to train, develop and operationalize learning models * Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions. * Identify, design and implement software architecture to manage software development tasks associated with developing, debugging, or designing software applications, operating systems, and databases according to provided design specifications. * Build enhancements within an existing software architecture and envision future improvements to the architecture. * Assist in the development of short, medium, and long-term plans to achieve strategic objectives. * Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices * Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (such as new technologies and upgrades). * Collaborate with cross-function engineering teams to design interfaces that support data integration with internal and external platforms * Data engineers perform other duties as required, to meet team sprint goals 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 or more 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, Software is acceptable * 10 or more years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server * 10 or more years of experience using a combination of tools such as Azure Data Factory, Synapse, Data Explorer, App Insights, Power BI, and Databricks * 3 or more years of experience using Azure CosmosDB and Azure Data Lake Storage * Must be motivated, self-driven, curious, and creative * Proven ability to lead projects and teams with minimal guidance * Must be 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 * Lead a collaborative, cross-functional team, Active participation in sprint reviews * Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS: * Knowledge of health care operations * Exposure to agile/scrum * Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets * Expert in Relational databases like Oracle, SQL server * Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers * Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation * Expert in areas of CI/CD, Continuous testing, and site reliability engineering. * Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps. * Expert in event streaming tools like NiFi, Kafka and Flink * Expert in data processing tools, like Apache's Sqoop, Spark and Hive * Expert in Document or NoSQL datastores, particularly MongoDB * Expert in Power BI data models using advanced Power Query and DAX * Expert in in AI/ML Ops * Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.) * Collaborate effectively with product management, program management, engineers, and stakeholders. * Excellent analytical and critical thinking skills * Ability to influence without authority and thrive in an ambiguous environment.

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description:- At least 5 years of hands on experience in Informatica At least 3 years of experience in Design and Architecture concepts and Data modelling Experience and desire to work in a Global delivery environment Understanding of Unix/Linux system, file systems, shell scripting Experience with design and implementation of ETL/ELT framework for complex warehouses/marts Hands-on development mentality, with a willingness to troubleshoot and solve complex problems Interacting with the business users to understand the challenges faced by the users and documenting/communicating the same to the BI IT stakeholders. Ability to work in team in diverse/ multiple stakeholder environment Experience in Cards and Payments domain Strong analytical skills Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience within the Information Technologies. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume.

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

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

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 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.

Perform exploratory data analysis to identify trends, patterns, and anomalies for tier 0 applications/products. Develop and implement statistical models, machine learning algorithms, and data mining techniques for Service Management initiatives. Key Responsibilities Collect, clean, and preprocess structured and unstructured data from various sources. Develop and implement statistical models, machine learning algorithms, and data mining techniques. Perform exploratory data analysis to identify trends, patterns, and anomalies. Communicate findings through visualizations, dashboards, and reports. Collaborate with engineering, product, and business teams to deploy models and integrate data solutions. Monitor model performance and continuously improve accuracy and efficiency. Stay current with industry trends, tools, and best practices in data science and analytics. LI_DNI Required Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 0-1 years of experience. Proficiency in programming languages such as Python or R. Strong knowledge of SQL and data manipulation tools. Understanding of data engineering concepts: ETL/ELT, data quality, logging, monitoring. Exposure to AWS CloudWatch, S3, Lambda, EC2. Understanding of infrastructure concepts such as compute, storage, networking, IAM. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving and communication skills. Preferred Qualifications Exposure to Snowflake and Iceberg. Comfortable with model validation, monitoring, and basic MLOps concepts. Ability to write scripts to automate reporting or operational tasks Experience with API integrations (REST, boto3 for AWS, etc.). Basic understanding of containerization (Docker) is a plus. 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 $71,300 - $96,000 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 TECH Technology

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Salary Range The salary range for this position is $62,300 - $199,000 per year. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate's relevant skills and professional experience, educational qualifications, and geographic location. We are currently seeking a Data Engineer. This position will require knowledge of enterprise data governance, data analysis, business analysis, and the technical tools to execute on those roadmaps. You will assist with creating a unified data model that will be central to all Data Governance activities and helping to set the foundation of our Master Data Management strategy. This includes crucial external and internal reporting, line of business specific needs, and system integration. Activities will include working with stakeholders, subject matter experts, business analysts, and technical teams to execute, maintain, and own the Old National Core Data Model. Key Accountabilities Key Accountability 1: Create and Maintain Data Governance Data Quality Framework Enable technical frameworks with tech stack that enable monitoring, reporting, and remediation of data quality issues Partner with business stakeholders, data owners, and information owners to implement appropriate data quality rules Documents procedural level documents to support technical teams and business partners adherence to Data Quality Framework Key Accountability 2: Data Analysis and Profiling Support business partners with proper profiling techniques to better understand the data. Drive data accountability to understand data gaps and needs within systems and business processes Key Accountability 3: Data Cleansing Framework Direct framework and strategy to support data cleansing based on Data Quality Framework and Profiling activities. Partner with IT design a technical framework that will enable business partners and data analysts to transform their data in a consistent and traceable framework. Key Competencies for Position Promotes Change - Actively seeks information to understand the rationale, implications, and impact for changes. Remains agile by quickly modifying daily behavior, leveraging resources, and trying new approaches to effectively embrace change. Willing to act quickly, learn and adjust as needed. Identifies and recommends changes to leadership to improve performance. Aligns activities to meet individual, team and organizational goals Strategy in Action - Breaks down larger goals into smaller achievable goals and communicates how they are contributing to the broader goal. Actively seeks to understand factors and trends that may influence role. Anticipates risks and develops contingency plans to manage risks. Identifies opportunities for improvement and seeks insights from other sources to generate potential solutions. Aligns activities to meet individual, team and organizational goals. Compelling Communication - Effectively and transparently shares information and ideas with others. Tailors the delivery of communication in a way that engages the audience and that is easy to understand and retain. Unites others towards common goal. Asks for others' opinions and ideas and listens actively to gain their support when clarifying expectations, agreeing on a solution and checking for satisfaction. Makes Decisions & Solves Problems - Takes ownership of the problem while collaborating with others on a resolution with an appropriate level of urgency. Collaborates and seeks to understand the root causes of problems. Evaluates the implications of new information or events and recommends solutions using decisions that are sound based on what is known at the time. Takes action that is consistent with available facts, constraints and probable consequences. Qualifications and Education Requirements Bachelor's degree in related field; advanced coursework/training related to data management, computer science, management information systems 3+ years' experience working with data analysis/profile tools, including but not limited to Informatica, SQL Server, MS Power Query, etc. 3+ years' working with data transformations and various ETL tools, DBT, FiveTran, Azure Data Factory 3+ years' experience working in a variety of data models, ODS, Relational, Fact/Dimension Understanding of reporting and data analytics to ensure overall accuracy Knowledge of industry leading practices in Analytics and Data Movement Strong written, verbal, and interpersonal skills to advance a data driven culture and work priorities. Working knowledge of data governance principles and frameworks Source system profiling via a variety of tools and methods Ability to write data quality rules (business facing and pseudo code) Data lineage/data Catalog knowledge Master data management Exposure to data platforms such as AWS, GCP, Azure, and/or Databricks Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team! We can recommend jobs specifically for you! Click here to get started. If you're qualified for a position but need additional help with the application because of a disability, please email ************************** (This email will respond to accommodation requests only.)

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: Business Intelligence at Jamf powers data-driven decision-making across the organization. As a Data Platform Engineer II, you'll be responsible not just for building & transforming data, but for owning critical data infrastructure: from ingestion and storage, to governance, quality, and consumption by analytics/ML tools. You will partner with analysts, data scientists, product owners and engineers to ensure that Jamf's data assets are reliable, high-performance, secure, and scalable. This role if offered as remote in Minneapolis, MN; Eau Claire, WI; or Austin, TX. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in one of these locations. What you can expect to do in this role: Design, build, maintain, and improve the data platform infrastructure (Snowflake environments, airflow workflows, orchestration, CI/CD pipelines for dbt / transformations) Develop and maintain Terraform (or equivalent IaC) definitions for provisioning data infrastructure (compute, storage, permissions, networking where needed) Automate deployment of data transformations (e.g. dbt CI/CD, staging / production pipelines) Ensure data platform availability, reliability, security and performance (e.g. enforce roles & permissions in Snowflake, resource monitoring, concurrency/usage optimisation) Instrument monitoring, logging and alerting of data workflows (Airflow / Kubernetes / dbt jobs) Collaborate with Data Engineers / Analysts / Architects to define platform capabilities, set standards & best practices around schema design, governance, version control, and performance Run capacity planning, ensure cost-efficiency, scaling strategy (e.g. concurrency limits in Snowflake warehouse sizing, cluster autoscaling, etc) Facilitate onboarding of teams to the data platform: document usage patterns, create templates or utilities (for example dbt macros, shared libraries) Participate in architecture reviews, evaluate new platform tooling (e.g. enhancements to orchestration, transformation frameworks, security strategy, etc) Troubleshoot critical incidents and participate in incident / post-mortem cycles for platform issues #LIRemote What we are looking for: Minimum of 3 years experience building data pipelines with Python (Required) Minimum of 3 years experience working with data warehouse or other cloud based database technology, with strong proficiency in SQL. (Required) Experience with Docker / Kubernetes (Required) Exposure to Infrastructure-as-Code (IaC) such as Terraform or DevOps (Required) Experience working with dbt (Preferred) Strong experience with cloud infrastructure: AWS (EC2, ECR, S3, Glue, RDS, etc) or equivalent public cloud provider Hands-on experience in CI/CD, version control, unit / integration testing for data pipelines Comfortable working in agile teams, and mentoring others Strong Communication Skills Excellent Interpersonal Skills Excellent Organizational Skills Proven Analytical Skills Ability to communicate complex technical terms in an easy to understand, non-technical manner Ability to interact effectively with co-workers in a result driven culture Self-starter, energetic multi-tasker, highly motivated and team player Ability to engage with and establish trust and rapport with all levels of customers and employees Agile practitioner experienced in Scrum or Kanban General knowledge of Apple products and eco-systems Bachelor's Degree in Mathematics, Computer Science or related field (Required) A combination of relevant experience and education may be considered SECURITY AND PRIVACY REQUIREMENTS Participation in ongoing security training is mandatory Established security protocols will be adhered to, sensitive data will be handled responsibly, and data protection practices are followed, including understanding relevant privacy regulations and reporting breaches Acknowledging the Jamf Code of Conduct, where applicable security and privacy policies can be found, is a requirement of all roles at Jamf How we help you reach your best potential: Named a 2025 Best Companies to Work For by U.S. News Named a 2024 Best Technology Company to Work For by U.S. News Named one of Forbes Most Trusted Companies in 2024 Named a 2024 Best Companies to Work For by U.S. News Our developers work in agile delivery teams to produce new features, improve software components, and are the subject matter experts for our Jamf product offerings. You will have the opportunity to make a real and meaningful impact for more than 75,000 global customers with the best Apple device management solution in the world. We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple. Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software. You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect. We offer a clear career path that enables you to grow under supportive leadership and management Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering 22 of 25 world's most valuable brands rely on Jamf to do their best work (as ranked by Forbes). Over 100,000 Jamf Nation users, the largest online IT community in the world. The below annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/annual salary to be offered to the selected candidate. Factors include, but are not limited to the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. Pay Transparency Range$85,100-$181,700 USD What it means to be a Jamf? We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture flows from a spirit of selflessness and relentless self-improvement - driving both personal growth and collective progress throughout our company. We unite around common goals while respecting personal approaches, believing that fulfilled individuals create a thriving, vibrant workplace. Our aim is simple: hire exceptionally good people who are incredibly good at what they do and let them do it. We provide the support and resources to let everyone be their authentic, best selves at work, at rest, and at play. We are committed to supporting the continual improvement of Apple in the workplace, the organizations that rely on them and the people who keep it all running smoothly. Above it all, waves our banner of #OneJamf - and the knowledge that when we stand together, we accomplish so much more than we could alone. We seek individuals who share this unwavering journey toward growth to join us in our quest for constant improvement. What does Jamf do? Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same, and be as secure as, using a personal device. With Jamf, customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security - anytime, anywhere - to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline communications in healthcare between patients and providers. More than 2,500 Jamf strong worldwide, we are free-thinkers, can-doers, and problems crushers who are encouraged to bring their whole selves to work each and every day. Get social with us and follow the conversation at #OneJamf Jamf is committed to creating an inclusive & supportive work environment for all candidates and employees. Candidates with disabilities or religious beliefs are encouraged to reach out if they need additional support or alternative options to our recruiting processes to accommodate their disability or religious belief. If you need an accommodation, please contact your Recruiter or Recruiting Coordinator directly. Requests for accommodation will be handled confidentially by Recruiting and will not be shared with the hiring manager. Jamf is an equal opportunity employer and does not discriminate against individuals who request reasonable accommodation for disability or religious beliefs. To request accommodations please email us at *******************

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you.. Job Description: As a Principal Data Scientist, you will be the technical lead and primary "engine" of our data science initiatives. Reporting to the Director of Data Science, you are a high-level individual contributor responsible for solving our most complex, abstract business problems through advanced mathematical modeling. You will lead the end-to-end development of "Data Intelligence Products" - from high-dimensional forecasting and financial risk engines to ML-driven revenue optimization. While this is an IC role, you will set technical standard for the department, acting as a mentor to junior analysts and an architect for our predictive ecosystem. Responsibilities 1. Advanced Technical Execution (The Engine) Elite Predictive Modeling: Lead the research, design, and deployment of sophisticated models for time-series revenue forecasting, unit economics, and profitability. Risk & Uncertainty Quantification: Develop advanced statistical tools to predict financial risk and operational volatility, providing the business with probabilistic guardrails. Algorithmic Innovation: Move beyond standard libraries to build custom ML solutions that address the specific nuances of our finance and project data. Experimental Design: Architect rigorous A/B and multivariate testing frameworks to measure the causal impact of business decisions and product iterations. 2. Technical Architecture & Productization (The Bridge) Model Orchestration: Partner with the Data Engineering team to design the "last mile" of ML deployment-ensuring your models run reliably within our Snowflake/dbt environment. Seamless Integration: Ensure model outputs are elegantly integrated into Power BI semantic models, turning complex statistical distributions into actionable business signals. Code Excellence: Set the bar for the Data Science "Playbook," establishing rigorous standards for reproducible research, version control, and model validation. 3. Strategic & Technical Leadership (The Growth) Discovery & R&D: Proactively identify opportunities for ML/AI to drive ROI, staying ahead of industry trends in LLMs, deep learning, and predictive analytics. Abstract Problem Solving: Take high-level business queries from the Director or C-suite and translate them into mathematically sound, executable project plans. The Intelligence Stack: Expert-level mastery of Python and SQL. Extensive experience deploying production-grade models within a cloud environment (Snowflake preferred). The Ideal Candidate Profile Technical Mastery The ML Toolbelt: Deep expertise in the Python Data Science stack (e.g., scikit-learn, XGBoost, LightGBM) and deep learning frameworks (e.g., PyTorch or TensorFlow). Predictive Expertise: Deep experience in time-series forecasting, supervised learning, and causal inference. Time-Series & Forecasting: Mastery of libraries dedicated to financial and demand forecasting, such as Prophet, statsmodels, or sktime. MLOps & Deployment: Experience with model lifecycle management tools (e.g., MLflow, Weights & Biases) and deploying models via containers (Docker/Kubernetes) or as serverless functions. Statistical Logic: You don't just run models; you understand the "why" behind the math and can defend your methodology to technical and non-technical audiences. Mathematical Depth: Deep expertise in supervised/unsupervised learning, Bayesian statistics, time-series analysis, and causal inference. Generative AI & LLMs: Working knowledge of integrating LLMs (via LangChain, OpenAI API, or Hugging Face) into business workflows for unstructured data analysis. The Modern Data Stack: Proficiency in using Snowflake as a feature store and dbt for feature engineering. Business & Leadership Skills Finance Acumen: You understand the levers of a P&L and how predictive modeling impacts revenue and margin. Communication: Exceptional ability to simplify complex "black box" concepts for executive stakeholders. Qualifications 8-10+ years of experience in Data Science, with a track record of delivering high-impact predictive models in a corporate or production environment. Proven IC Leadership: Experience as a staff or principal-level contributor who has successfully led large-scale technical projects from concept to deployment. Modern Stack Experience: Deep familiarity with the Snowflake + dbt + Power BI ecosystem is a significant advantage. Proven track record of building and deploying predictive models using Python and SQL that achieved high business adoption. Toolkit Expertise: Hands-on experience with ML orchestration tools and automated testing for model performance (e.g., monitoring for Data Drift and Model Decay). Cloud Infrastructure: Experience with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker, or Databricks) and how they integrate with data warehouses like Snowflake. Advanced Education: PhD or Master's degree in a highly quantitative discipline (e.g., Physics, Mathematics, Statistics, Computer Science, or Economics). The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time. $117,500.00 - $206,700.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

Cargill's size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials - from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill. Job Purpose and Impact * The Senior Professional, Software Engineering job designs, develops and maintains software applications and systems. With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members. Key Accountabilities SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes. AUTOMATION: Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases. COLLABORATION: Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs. TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software. CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability. DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations. TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution. Qualifications * Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: Minimum requirement of 5 years of relevant work experience. Typically reflects 7 years or more of relevant experience. Experience with GenAI tools Experience with leading engineering in a complete full-stack development program Proven experience leading business partnership, requirements gathering, and agile execution in large-scale product development programs Pay Transparency The expected salary for this position is $105,000.00-$150,000.00. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: *************************************************************** learn more (subject to certain collective bargaining agreements for Union positions). Equal Opportunity Employer, including Disability/Vet.

Opportunity available for a Contract Front-End Engineer to help build designer-facing GenAI-powered tools that accelerate the design process. This role focuses on developing high-quality frontend experiences that connect designers and trend analysts to emerging trend data, enabling fast, accurate insight discovery and decision-making. W2 only - No C2C or third-party vendors. You will collaborate closely with product, UX, and data teams to deliver highly usable, visually compelling applications that support complex data exploration and AI-driven workflows. Required Qualifications 5+ years of professional front-end engineering experience Strong expertise in TypeScript and React.js Experience building interactive data visualization and analytics applications Ability to work effectively in a fast-paced Agile contract environment Experience collaborating with UX and Design teams on user-centered application development Experience working in containerized environments (Docker/Kubernetes preferred) Hands-on experience or strong working knowledge of GenAI frameworks and patterns, including: LangGraph, LangChain, Google GenAI, or similar Context Engineering, RAG, and Agentic AI Familiarity with platforms such as ChatGPT, Gemini, or other commercial AI tools ITR Group offers a competitive compensation and benefits package, including medical, dental, and 401(k) for eligible employees. The W2 pay range for this type of role is approximately $90.00 - $100.00 per billable hour. This range is an estimate and not a guarantee of compensation. The final rate will be determined by factors such as experience, market trends, and specific job assignments. Discover more about how ITR Group connects top talent with leading client opportunities.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level. As a Lead Data Scientist, you'll be responsible for applying innovative statistical and machine learning methods in a scientifically rigorous manner to dive into the largest and most complex data across the enterprise to answer the most difficult questions that are foundational to driving real-world value by offering deep insight into every aspect of the business. In this role, you will have the opportunity to lead the technical direction for the data science team on the most important strategic efforts to provide analytic thought leadership that drives a data-grounded perspective to help Best Buy think critically and differently about all aspects of our business to improve our core capabilities and unleash the next generation of customer experiences that will transform the way Best Buy operates day-to-day. What you'll do Leading the application of scientific methods to solve real-world business problems using data across multiple business domains Developing and implementing cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business including market growth, retail portfolio, customer retention, services, etc. Employing broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance Best Buy's core data science capabilities Leading discussions with business partners to identify the biggest opportunities to bring Best Buy to the next level and influence key decisions around real products that impact and improve the lives of millions of people Acting as a mentor for junior data scientists, assign tasks and review for quality and completion Conducting discussions with technical and non-technical product team members to determine feasibilities of recommended solutions. Collaborating with other engineers and product team members to implement and deploy scalable solutions. Presenting results of any analyses in a manner that is interpretable and technical approach of machine learning product design to team and leadership. Basic qualifications Bachelor's degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent experience. 6+ years of experience in data science, data analysis, data mining or other similar business functions. *Advanced degrees in relevant fields may be counted towards experience requirements. 2+ years of experience working in cloud platforms (GCP, AWS, Azure) Advanced proficiency with at least one data science/analytics programming language (Python, R, Julia) Advanced skills in data wrangling, validating data and solutions, supervised & unsupervised learning, AI & ML frameworks (PyTorch, TensorFlow), designing complex algorithms and statistical models, and applied mathematics & statistics Preferred qualifications Master's degree or Ph.D in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) Experience using high performance machine learning and/or data mining frameworks Experience building distributed data processing pipelines (e.g. Apache Spark, Apache Beam) 5-8 years hands-on data science experience (in addition to advanced degree) Ability to effectively communicate technical information to a wide spectrum of cross-functional team members What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include: Competitive pay Generous employee discount Physical and mental well-being support About us As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™ Best Buy is an equal opportunity employer.