Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role This role is responsible for ensuring the reliability, accuracy, and safety of our Veeva AI Agents through rigorous evaluation and systematic validation methodologies. We're looking for experienced candidates with: A meticulous, critical, and curious mindset with a dedication to product quality in a rapidly evolving technological domain Exceptional analytical and systematic problem-solving capabilities Excellent ability to communicate technical findings to both engineering and product management audiences Ability to learn application areas quickly Thrive in our Work Anywhere environment: We support your flexibility to work remotely or in the office within Canada or the US, ensuring seamless collaboration within your product team's time zone. Join us and be part of a mission-driven organization transforming the life sciences industry. What You'll Do Evaluation Strategy & Planning: Define and establish comprehensive evaluation strategies for new AI Agents. Prioritize the integrity and coverage of test data sets to reflect real-world usage and potential failure modes LLM Output Integrity Assessment: Programmatically and manually evaluate the quality of LLM-generated content against predefined metrics (e.g., factual accuracy, contextual relevance, coherence, and safety standards) Creating High-Fidelity Datasets: Design, curate, and generate diverse, high-quality test data sets, including challenging prompts and scenarios. Evaluate LLM outputs to proactively identify system biases, unsafe content, hallucinations, and critical edge cases Automation of Evaluation Pipelines: Develop, implement, and maintain scalable automated evaluations to ensure efficient, continuous validation of agent behavior and prevent regressions with new features and model updates Root Cause Analysis: Understand model behaviors and assist in the trace and root-cause analysis of identified defects or performance degradations Reporting & Performance Metrics: Clearly document, track, and communicate performance metrics, validation results, and bug status to the broader development and product teams Requirements Data Integrity & Validation: A strong, specialized understanding of data quality principles, including methods for validating datasets against bias, integrity concerns, and quality standards. Ability to craft diverse and adversarial test data to uncover AI edge cases Prompt Engineering & Model Expertise: Demonstrated skill in advanced prompt engineering techniques to create evaluation scenarios that test the AI's reasoning, action planning, and adherence to system instructions. Deep knowledge of LLM common failure modes (hallucination, incoherence, jailbreaking) Automated Evaluation Implementation: 5+ years of experience designing and deploying automated evaluation pipelines to assess complex, agentic AI behaviors. Familiarity with quality metrics such as task success rate, semantic similarity, and sentiment analysis for output measurement Debugging Agentic Systems: Must be comfortable with the specific challenges of debugging agentic systems, including tracing and interpreting an agent's internal reasoning, tool use, and action sequence to pinpoint failure points Programming & Frameworks: 5+ years of experience using Python to develop custom evaluation frameworks, writing scripts, and integrating pipelines with CI/CD systems. Familiarity with standard test automation tools (e.g., Pytest, modern web automation tools) Bachelor's degree in Data Science, Machine Learning, Computer Science, or a related field, with experience in Gen AI / LLMs High work ethic. Veeva is a hard-working company High integrity and honesty. Veeva is a PBC and a "do the right thing" company. We expect that from all employees Applicants must have the unrestricted right to work in the United States or Canada. Veeva will not provide sponsorship at this time Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $110,000 - $270,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote #LI-MidSenior Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com. Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments. Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less. Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that. Work at Veeva. Work where it's best for you. A different kind of company. A Public Benefit Corporation. Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. × What sets us apart Public Benefit Corporation Work Anywhere Veeva Giving Corporate Citizenship Employees are Shareholders Non-Competes Public Benefit Corporation In February 2021, Veeva became the first public company to convert to a Public Benefit Corporation (PBC). Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. Veeva's public benefit purpose is to help make the industries we serve more productive and create high-quality employment opportunities. Learn More Work Anywhere Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for you. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Product teams are organized in regional product excellence hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. Read More → Veeva Giving At Veeva, we believe in giving back. Veeva's support for charitable causes is entirely employee driven because we think giving is personal and should be directed by the individual. With our 1% Veeva Giving program, each employee receives an amount equivalent to 1% of their base salary annually to support the non-profit(s) of their choice. We don't dictate favored corporate causes or ask employees to donate to specific non-profits. We never support a charitable cause in exchange for commercial advantage or preferential treatment. Corporate Citizenship Veeva's core values - do the right thing, customer success, employee success, and speed - guide our decision making and define our culture. Doing the right thing means that we are concerned about more than just financial success and return to shareholders. We recognize a responsibility to customers, employees, environment, and society.As individuals, we pride ourselves on being good people who are honest, fair, and direct. We treat others with respect. As a company, we strive to be a good corporate citizen, a positive force in the business community, active in our communities, and an example to others. Read More → Employees are Shareholders Our equity program is designed to enable the vast majority of our employees to participate. Our unique approach to awarding equity grants allows our employees to be shareholders so they can benefit financially in the company's growth. Non-Competes Veeva has taken a strong stance against the use of non-compete agreements that can limit employee opportunities. We do not require our employees to sign non-compete agreements, and we have taken legal action to fight the unfair use of these agreements by other companies because we believe such agreements limit an employee's fundamental right to work where they choose. We believe in our people and want them to be successful here at Veeva or wherever their careers take them. Read More → News and recognition Veeva in Top 100 Most Reliable Companies Fastest-Growing Company for 5 Years, Future 50 for 2 Years New York's Noncompete Bill Is A 'Big Domino To Fall'-And The Broadest Ban Yet-In A Growing Movement Against Them Veeva's Peter Gassner Combine's Today's Execution with Tomorrow's Vision Grow, contribute and be recognized "Veeva's engineering teams take a pragmatic approach to software development. We offer an ideal environment for engineers who value focus, speed and integrity in their work." Jacob Marcus VP, Engineering "I appreciate that Veeva values autonomy over alignment. As a result, we get to make decisions as a small team and ship products faster." Shilpa Chandermohan Software Engineer "As a software engineer at Veeva, I'm proud to be doing meaningful work building clinical trial software that will benefit so many people." Durward Denham Software Engineer Previous Next Other related jobs Software Engineer- Full Stack with Typescript Engineering Madison, United States Posted 3 days ago Software Engineer- Full Stack with Typescript Engineering Columbus, United States Posted 3 days ago Senior iOS Engineer Engineering London, Europe Posted 3 days ago Senior iOS Engineer Engineering Barcelona, Europe Posted 3 days ago Senior iOS Engineer Engineering Berlin, Europe Posted 3 days ago Sustaining Engineer Engineering San Luis Obispo, United States Posted 5 days ago Explore all roles at Veeva Search Jobs

What success looks like in this role: The Data Center Technician's responsibilities include maintaining the data center's IT system, troubleshooting issues, performing server installations, and ensuring uninterrupted access to network services. The ideal candidate for this role should possess a strong understanding of network infrastructure and data center operations. Familiarity with server installations and network updates is also required. Installing and configuring data center infrastructure including servers, racks, switches and other hardware Regularly monitoring system performance and troubleshooting issues Performing regular maintenance and updates to systems, software, and hardware Ensuring the data center's HVAC (Heating, Ventilation, and Air Conditioning) systems are operating efficiently Carrying out routine network maintenance tasks, such as managing user accounts, permissions, email, anti-virus, anti-spam Ensuring the data center's power supply is consistent and reliable Ensuring data backups are completed and stored correctly Assisting with disaster recovery operations in the event of power failures, fires, or other disasters Documenting procedures, systems and network configuration Complying with and maintaining security standards within the data center Communicating regularly with other IT staff and management to report on status of the data center Engineers will provide troubleshooting, repair, parts ordering, preventative maintenance and Installation of Dell product located at Customer Site. Triage issues with direction from Dell Support Execute plan of action from Dell Domain Engineer/L3 Document POA Results, logs and service reports (Parts numbers/PPID of old/new parts replaced) to Dell via case email Reseating parts, swap or replace parts Server Testing and validation (running diagnostics, capturing and uploading logs) Upgrading Firmware as needed Parts locker management, manage inbound and outbound parts Spare parts management, separate from parts locker (during CW server deployments) You will be successful in this role if you have: You will be successful in this role if you have: High School Diploma or GED required May require technical certification or Associate Degree Generally, 2-4+ years' experience in area of responsibility This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

Our culture lifts you up-there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated. Time Type: Regular Job Description : JOB SUMMARY: Reporting to the Lead Data Engineering, the Data Engineering Specialist is responsible for designing, developing, and maintaining data integration and transformation processes in our cloud-based data platform. While experience in Google Cloud Platform (GCP) is a significant asset, candidates with proven expertise in other major cloud platforms (AWS, Azure) will also be considered. This role emphasizes data governance, classification, and compliance-leveraging tools such as Collibra to ensure high-quality, secure, and well-documented data assets. Relevant du Gestionnaire, Ingénierie des Données, le Spécialiste en Ingénierie de données est responsable de la conception, du développement et de la maintenance des processus d'intégration et de transformation des données sur notre plateforme de données basée sur le cloud. Key Responsibilities Data Integration & Architecture Develop and orchestrate data pipelines for ingestion from various sources (e.g. MySQL, Oracle, PostgreSQL, flat files…etc.) into a cloud-based environment and move data around multiple system based on the business needs and requirements. Collaborate with Data Analysts and Data Architects on defining data models, requirements, and architecture for optimal performance in databases (e.g. BigQuery or other cloud-based relational databases). Ensure robust ETL/ELT processes that support scalability, reliability, and efficient data access. Data Governance & Classification Implement and maintain data governance frameworks and standards, focusing on data classification, lineage, and documentation. Utilize Collibra or similar platforms to manage data catalogs, business glossaries, and data policies. Work closely with stakeholders to uphold best practices for data security, compliance, and privacy. Process Improvement & Automation Identify, design, and implement process enhancements for data delivery, ensuring scalability and cost-effectiveness. Automate manual tasks using scripting languages (e.g., Bash, Python) and Enterprise scheduling/orchestration tools like Airflow. Conduct root cause analysis to troubleshoot data issues and implement solutions that enhance data reliability. Cross-Functional Collaboration Partner with cross-functional teams (IT, Analytics, Data Science, etc.) to gather data requirements and improve data-driven decision-making. Provide subject matter expertise on cloud data services, data classification standards, and governance tools. Monitor and communicate platform performance, proactively recommending optimizations to align with organizational goals. Skills & Qualifications Technical Expertise Experience with at least one major cloud platform (AWS, Azure, GCP), with GCP exposure considered a significant asset. Strong understanding of RDBMS (PostgreSQL, MySQL, Oracle, SQL Server) with the ability to optimize SQL queries and maintain database performance. Familiarity with version control systems (Git) to manage codebase changes and maintain a clean development workflow. Familiarity with data governance and classification concepts, leveraging Collibra or similar platforms to manage data lineage, business glossaries, and metadata. Knowledge of Linux/UNIX environments, and experience working with APIs (XML, JSON, REST, SOAP). Data Pipeline Development Demonstrated ability to build large-scale, complex data pipelines for ETL/ELT processes. Hands-on experience with scripting/programming languages (e.g., Python, Bash) to automate data workflows and error handling. Strong analytical and problem-solving skills with the ability to work with unstructured datasets. Security & Compliance Functional knowledge of encryption technologies (SSL, TLS, SSH) and data protection measures. Experience implementing governance best practices to ensure data security and regulatory compliance. Soft Skills Excellent communication and collaboration skills to partner effectively with cross-functional teams. Curiosity and a growth mindset, with the initiative to explore emerging data technologies. Bilingualism (written and spoken) is an asset to interface with stakeholders in Ontario and across the United-States. Education & Experience Bachelor's degree in Information Technology, Computer Science, or a related field; or an equivalent combination of education and experience. 5 years of progressive experience in data engineering, data analytics, or a similar role. Proven track record in architecting, optimizing, and delivering enterprise-grade data solutions on a major cloud platform (AWS, Azure, or GCP). Demonstrated commitment to continuous learning and improvement in data engineering methodologies. If you're passionate about leveraging cloud technologies to build efficient, scalable data Pipelines-and ensuring that data remains well-classified, well-governed, and accessible-we'd love to hear from you! You'll benefit from: Flexibility: Yes, we think that what you do matters. At work and at home. Fun: We laugh a lot, it makes every day brighter. Discounted services: We provide amazing services to our clients, and you'll get them at home, because you deserve them. Rewarding Pay: Let's be honest, everybody likes to make a good salary. We offer attractive compensation packages, and it comes with a great culture. Benefits: We've got you covered. Career Evolution: Join us and we will give you the tools to achieve your career goals! Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry. Location : Burlington, ON Company : Cogeco Connexion Inc At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging. By creating a culture where all our colleagues can bring their best selves to work, we're doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers. If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com

We're looking for people who put their innovation to work to advance our success - and their own. Join an organization that ensures a more secure world through connecting and protecting our customers with inventive electrical solutions. WHAT YOU WILL EXPERIENCE IN THIS POSITION: Install and maintain nVent High-Density Liquid Cooling (HDLC) products at customer data center sites globally. Travel to client's global locations to provide installation, maintenance, and warranty support. Share technical information effectively during updates, reviews, and troubleshooting discussions. Contribute to project planning by helping define tasks, timelines, and budgets. Work closely with Engineers and CAD Designers on prototype and pilot design projects. Take on additional responsibilities as needed. Represent nVent professionally as a trusted point of contact for clients. Although we have this posted in many locations, we are only making 1 hire* YOU HAVE: Ideally 5+ years of experience in data center maintenance and installation, ideally with high-density liquid cooling products. Ability to deliver clear and effective product or technical training. Validated understanding of electrical and mechanical drawings, including proficiency in CAD software and Visio. Validated understanding of thermodynamics, fluid mechanics, plumbing, pipefitting, and heat transfer, and numerical methods. Familiarity with relevant standards and regulations (NEC, IEC, IEEE). Basic knowledge of power distribution, heat tracing applications, or control and monitoring systems. Ability to work 100% remotely from anywhere in the US and travel 50-70% on average, including international trips. A valid driver's license is required. WE HAVE: A dynamic global reach with diverse operations around the world that will stretch your abilities, provide plentiful career opportunities, and allow you to make an impact every day nVent is a leading global provider of electrical connection and protection solutions. We believe our inventive electrical solutions enable safer systems and ensure a more secure world. We design, manufacture, market, install and service high performance products and solutions that connect and protect some of the world's most sensitive equipment, buildings and critical processes. We offer a comprehensive range of systems protection and electrical connections solutions across industry-leading brands that are recognized globally for quality, reliability and innovation. Our principal office is in London and our management office in the United States is in Minneapolis. Our robust portfolio of leading electrical product brands dates back more than 100 years and includes nVent CADDY, ERICO, HOFFMAN, ILSCO, SCHROFF and TRACHTE. Learn more at www.nvent.com. Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching program, we provide funds to nonprofit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: Innovative & adaptable Dedicated to absolute integrity Focused on the customer first Respectful and team oriented Optimistic and energizing Accountable for performance Benefits to support the lives of our employees Pay Transparency nVent's pay scale is based on the expected range of base pay for this job and the employee's work location. Employee pay within this range will be based on a combination of factors including knowledge, skills, abilities, experience, education, and performance. Where federal, state, or local minimum wage requirements exist, employee pay will comply. This position is posted in multiple locations and as such, the expected job-based pay scale may vary based on the location per the table below: Compensation Range: Geographic Region A: $76,000.00 - $141,100.00 Geographic Region B: $83,500.00 - $155,200.00 Geographic Region C: $91,100.00 - $169,300.00 Depending on the position offered, employee may be eligible for other forms of compensation, such as annual incentives. Benefit Overview At nVent, we value our people and their health and well-being. We provide a broad benefits package with meaningful programs for eligible full-time employees that includes: Medical, dental, and vision plans along with flexible spending accounts, short-term and long-term disability benefits, critical illness, accident insurance and life insurance. A 401(k) retirement plan and an employee stock purchase plan - both include a company match. Other supplemental benefits such as tuition reimbursement, caregiver, personal and parental leave, back-up care services, paid time off including volunteer time, a well-being program, and legal & identity theft protection. At nVent, we connect and protect our customers with inventive electrical solutions. People are our most valuable asset. Inclusion and diversity means that we celebrate and encourage each other's authenticity because we understand that uniqueness sparks growth. #LI-Remote #LI-AG1

Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. Crusoe Cloud is seeking a Data Integration Engineer to help build the foundation of our next-generation data platform. In this role, you'll design and maintain scalable data pipelines and integrations between key business systems, enabling reliable data flow and analytics across the organization. You'll play a key role in supporting Crusoe's data-driven decision-making and help connect systems across construction, engineering, and enterprise platforms. A successful candidate will have a strong background in data structures; specifically, prior exposure and experience in Construction-related datasets is desired (DCIS, PMIS, CMMS, ERP, etc). What You'll Be Working On: Data Pipeline Development: Design, implement, and maintain scalable data pipelines (ETL/ELT) using primary tools like Fivetran, Workato, and DBT to move data between critical business systems, including PMIS, ERP, HCM, and cloud environments like GCS/GCP. Initial Project Focus: Lead the development of data integrations for our datacenter construction business, linking systems such as DCIS, PMIS, BIM, ERP, Cost Management, and Procurement. Data Lake Management: Build and manage data ingestion processes (ETL) to consolidate structured and unstructured data into a centralized Datalake built on GCS. Analytics Enablement: Ensure data quality and availability to support both business analytics & reporting, as well as complex forecasting and modeling initiatives. Reporting Tool Integration: Build the necessary data integrations to allow visualization and reporting using tools like Sigma and DBT. Continually meet with various business units to collect data requirements and propose and implement data pipeline enhancements and modernization. Prepare functional specifications (business requirements) and test data as needed for new integrations. Work with the Operations Team to create and maintain a roadmap of data integration projects. Maintain accurate documentation of code, designs, and integrations; including project tickets, knowledge bases, configuration documents, and as-built diagrams. Stay accountable on project work by adhering to Agile Sprint principles, and meet KPI objectives. Timely communications and acknowledgments. Travel up to 20% for the support of other offices. What do you bring to the team Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, Information Technology, or equivalent experience of 5+ years of working experience as a Data Integration Engineer or similar role (e.g., Data Engineer, ETL Developer). Has 3+ years of experience designing and implementing highly reliable, high-volume ETL/ELT pipelines. Expertise in cloud-based data warehousing and data lake solutions, specifically using Google Cloud Storage (GCS) and Google Cloud Platform (GCP) services. Strong proficiency with data integration/ETL platforms like Fivetran and Workato. Ideally has achieved the Workato Integration Developer Certificate. Proven experience with DBT (Data Build Tool) for data transformation and modeling in a cloud data warehouse environment. Experience with BI tools, preferably Sigma, for data visualization and reporting. Strong knowledge of SQL, data modeling (Kimball, Inmon), schema design, and database management. Demonstrates strong knowledge of EAI/SOA best practices, solution designs, and methodology & standards related to data movement. Can demonstrate prior experience with Role Based Access Controls, Data Management, Environmental Controls, and audit logs. Experience with Atlassian JIRA, JSM, and Confluence is a PLUS. Be a master of planning out implementations and new data integrations. Good written, oral, and interpersonal communication skills. Self-starter yet knows when to ask for help, and works great in a team. Embody the company values. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300/month Compensation Range Compensation will be paid in the range of up to $147,000 -$178,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description & Summary We help our Clients define their transformation journey enabled by the latest technology - generating insights to illuminate innovative ideas, creating valuable experiences for customers, achieving huge cost savings or embracing new collaborative mindsets. We are looking for: Data Solutions Engineer (freelance) Your future role: Design, build, and manage solution in Databricks / Microsoft Fabric environments, Implement and maintain solutions in the Azure cloud, with a focus on tools such as Azure Databricks, Azure Data Factory, Azure Synapse, ,and Microsoft Fabric, Leverage PySpark and develop data workflows, Leverage Python to develop code used for data engineering purposes, Ensure the quality of the code by writing unit / integration tests for delivered solutions, Collaborate with the team and share knowledge with less experienced colleagues, Adhere to the company's Delivery Excellence framework, contribute to ways of working and internal delivery guidelines. Apply if you have: At least 3 years of professional experience as a Data Engineer, At least 2 years of hands-on experience with Databricks, PySpark, and Python for data engineering (e.g: usage of Pandas, SQL Alchemy), Hands-on experience with MS Fabric or Azure Synapse. Strong knowledge of Python software engineering (e.g: usage of FastAPI / Django and similar), Strong knowledge of SQL, Experience with Azure services like: Azure Data Factory, ADLS, Azure SQL Server, Key Vault Understanding of OLTP, OLAP, Data Lake, Data Lakehouse, Data Mesh, and Data Fabric concepts, Familiarity with at least one ETL tool (e.g., ADF, Informatica, Talend, AWS Glue), Experience with BI tools (Power BI, Tableau), Practical knowledge of software testing, Team player attitude, preferably with experience in an international environment, Strong analytical skills, Very good communication skills (both oral and written communication), Good command of English (C1 level), Minimum communicative knowledge of Polish, The ability to operate as a sole proprietor or business entity within Poland (due to the project-based nature of the employment). By joining us you gain: Work on diverse and intriguing projects, avoiding routine and promoting a consulting mindset, Benefit from a hybrid work model, flexible hours, and the possibility of occasional remote work, Opportunities to engage in international projects and occasional business trips. Recruitment process: Submit your resume, Have a short phone conversation with our Recruiter, Let's get to know each other better during the interview! Your personal data will be processed for recruitment purposes by PwC Advisory sp. z o.o. sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Summary: A highly skilled and experienced Security Engineer with a strong focus on Data Loss Prevention (DLP) and expertise in the implementation, management, and optimization of DLP solutions. Possesses a deep understanding of data security principles, network protocols, endpoint security, and cloud environments. Adept at designing, deploying, and maintaining DLP policies to protect sensitive data from unauthorized access, transmission, and exfiltration. A proactive problem-solver with excellent troubleshooting and communication skills. Key Skills: Data Loss Prevention (DLP): Expertise in designing, implementing, and managing enterprise DLP solutions. Digital Guardian: Advanced proficiency in configuring, deploying, and troubleshooting Digital Guardian endpoint, network, and discovery modules. Endpoint Security: Strong understanding of endpoint protection technologies, including device control, encryption, and endpoint detection and response (EDR). Network Security: Knowledge of network protocols, firewalls, intrusion detection/prevention systems (IDS/IPS), and network DLP. Data Classification and Tagging: Ability to classify and tag sensitive data to enforce appropriate security policies. Policy Development and Enforcement: Experience in developing and implementing DLP policies and procedures. Incident Response: Familiarity with incident response processes and procedures related to DLP incidents. Scripting and Automation: Proficiency in scripting languages (e.g., Python, PowerShell) for automating DLP tasks and integrating with other security tools. Log Analysis: Experience with analyzing security logs and events to identify potential data leaks. Troubleshooting: Strong troubleshooting skills for resolving technical issues related to DLP solutions. Communication and Collaboration: Excellent communication, interpersonal, and collaboration skills. Ability to effectively communicate technical information to both technical and non-technical audiences. Experience: Designed, deployed, and managed enterprise DLP solutions, specifically Digital Guardian. Configured and maintained Digital Guardian policies to protect sensitive data across endpoints, networks, and cloud environments. Conducted data discovery and classification to identify and protect sensitive data. Investigated and responded to DLP incidents, minimizing damage and preventing future incidents. Integrated Digital Guardian with other security tools and platforms. Provided technical support and training to end-users and security teams on DLP best practices. Developed and maintained documentation related to DLP policies and procedures. Worked with cloud based DLP solutions. Worked with vendors to solve complex issues. 8 - 12 years of relevant industry experience. Education: Bachelor's degree in computer science, Cybersecurity, or a related field. Relevant industry certifications (e.g., CISSP, CDPSE, Digital Guardian certifications). Job Location This is an onsite position. Must be able to work in-person from Cadence's San Jose office; Monday through Thursday The annual salary range for California is $119,000 to $221,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.

Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics team you will develop and implement innovative IBM MDM solutions that drive data management initiatives. As a Senior Associate, you will leverage your knowledge in master data management and data quality frameworks to mentor junior team members and build meaningful client relationships while navigating complex challenges. Responsibilities Maintain adherence to data quality frameworks and industry standards Work with cross-functional teams to drive data initiatives Navigate and manage ambiguity in project requirements Provide insights and recommendations based on data analysis What You Must Have Bachelor's Degree 3 years of experience What Sets You Apart Master's Degree in Computer Science preferred Certifications in IBM MDM, AWS Certified Data Analytics, Azure Data Engineer Associate, Teradata, SQL databases, and DevOps tools preferred Demonstrating leadership in developing IBM MDM solutions Working with cross-functional teams for technical solutions Implementing data quality and governance policies Troubleshooting MDM implementation and data quality issues Utilizing and being proficient ETL tools for data management processes Integrating MDM solutions with cloud platforms Participating in code reviews for compliance Expertise in IBM MDM development and implementation Strong understanding of master data management and data quality frameworks Experience with cloud platforms such as AWS or Azure Strong SQL skills for database management and data manipulation Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Learn what makes QTS a unique place to grow your career! The Development Project Manager (Electrical SME for Data Center Design) is primarily responsible for leading and managing the design, preconstruction and construction activities on a given project(s). The Project Manager (Electrical SME) will interact on a daily basis with Facilities, Contractors, Designers, Engineers, Commissioning Agents, Vendors, and Data Center Operations staff and should have both written and oral communication skills commensurate with this level of regular communication. ESSENTIAL DUTIES AND RESPONSIBILITIES includes the following. Other duties may be assigned. Review drawing packages for adherence to design standards. Collaborate with internal and external design teams to evaluate designs to ensure they meet the established design standards, local code requirements, and requirements of the local AHJs. Partner with internal and external stakeholders to define project scope requirements, deviations from the standards, and communicating requirements with the design team. Work with construction, commissioning, and risk management teams to answer requests for information and value engineering queries. Collaborate with the procurement team to review OFCI equipment submittals for compliance with the standard design criteria. Support project teams in resolving design issues discovered during construction and commissioning phases. Work closely with strategic procurement team on equipment procurement Work with consultants to develop and review Short Circuit, Coordination, and Arc Flash studies (SCCAF) for adherence to the design standards. Assist Development leadership and Project Manager with day-to-day activities and responsibilities Assist with updates on development program & project status on a monthly basis suitable for executive level reviews. Work with QTS stakeholders, design, and construction teams to help with master development program for site(s), including a complete campus design solution and capital budget. Review project schedules and manage teams to on-time completion Establish and maintain relationships serving as liaison with key QTS stakeholders Create & build relationships that enhance QTS's ability to be a leader in creating the World's Most Valuable Data Center Real Estate This position will require 25% travel. BASIC QUALIFICATIONS Bachelor's degree in Science or Engineering or equivalent professional experience Five or more years of professional experience in commercial construction practices and procedures, including management of Lump Sum, Construction Management @ Risk, and Design Build project delivery methods from conceptual development through procurement to close out Experience with Microsoft Office suite, specifically PowerPoint for use in communicating program updates to executive level, and Excel to create and maintain site program & individual project budgets Be able to travel up to 25% of the time PREFERRED QUALIFICATIONS Minimum of 5 years of experience in design engineering or the construction industry, related to all aspects of Electrical, including power systems design, redundant systems, short circuit, coordination, and arc flash analysis. 2+ years of experience applying local codes, NEC requirements, and other Electrical industry standards, procedures, and methodologies. Experience designing electrical systems for Data Centers, construction, operations, and/or facility maintenance. Project Management or Project Lead experience in large-scale projects. Experience with Short Circuit, Coordination, and Arc Flash analysis and modeling. Direct experience in the construction of data centers, critical medical, industrial, construction, oil and gas, or large-scale mechanical and power systems. Strong knowledge of NEC, and other Electrical industry standards, procedures, and methodologies Experience with performance-based alternatives to prescriptive electrical design Advance knowledge of electrical engineering systems and their integration into mission-critical environments. Basic multidisciplinary knowledge of mission critical systems, design process, pre-construction requirements, and the construction process. Proven ability to communicate complex technical issues to senior leadership or non-engineers. Professional Engineering license preferred, not required MBA, Masters in Engineering, Management, or related field desirable Experience with delivery of mission critical data center facilities Extensive experience with management of MEP trades TOTAL REWARDS This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending and HSA accounts; paid holidays; paid time off; paid volunteer days; employee assistance program; tuition assistance; parental leave; military leave assistance; QTS scholarship for dependents; wellness program, and other company benefits. This position is Bonus eligible. We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim. The "Know Your Rights" Poster is included here: Know Your Rights (English) Know Your Rights (Spanish) The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster-Formatted QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.

About Coresite At CoreSite, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape. Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative, inclusive environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At CoreSite, we're not just building state-of-the-art infrastructure-we're creating a community of forward-thinkers committed to solving complex challenges and delivering exceptional customer experiences. At CoreSite not only are we Committed to Excellence, but we also Build Connections, Own It, Do the Right Thing, Have Fun, and Win as a Team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success. This position starts the beginning of November 2025. Data Center Technician IV Role: The Data Center Technician IV must possess an expert level of knowledge and will be responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, fire life safety systems, and communications infrastructure. We are currently hiring for the Night Shift. Relocation assistance available. A sign on bonus of $6,000 is offered for this position, payable at the 6-month employment date. Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Communications Infrastructure responsibilities will include IFD / MDF / MMR management, structured cabling and supporting infrastructure ownership, and customer space management. This position will also be directly responsible for the processes that maximize customer uptime in the most cost-effective way by working very closely with the Data Center Manager. Technicians must ensure that data center problems are identified and repaired quickly, contractors deliver quality services, and internal customer demands are met. A Tier IV technician develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Duties: Data center subject matter expert for electrical, mechanical, controls, and fire life safety systems. Operate, monitor, maintain, and respond to abnormal conditions in facilities systems. Areas include: Electrical, Mechanical, Communications, Building Monitoring and Control. Tracking and trending operational characteristics. Mentoring of junior staff. Work with the site Data Center Manager to track and complete an aggressive preventive and predicative maintenance schedule Work with and provides guidance, to the site Data Center Manager to determine maintenance requirements for mechanical and electrical systems Ensure data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies, and improving overall efficiency and cost reduction. Ideal candidate will have a demonstrated technical ability and innovative thinking cross functionally, including integrated systems and IT Manage systems to avoid unplanned, customer-impacting outages Manage the data floor and back of house mechanical loading capacity thereby ensuring that the cooling system is operating at its highest efficiency Provide applied mechanical and integrated control expertise for the entire data center Work as a primary knowledge expert in regard to fire and electrical codes. Serve in a technical writing capacity in regard to the derivation of procedures for preventative or corrective maintenance activities. Assist Data Center Manager with the database management of maintenance discrepancies and work with Operations management to resolve site issues based on agreed upon priorities. Trouble Ticket Management Work Order Completion Process Infrastructure projects (Internal/Customer) Cage Build-Outs Overhead Installations Rack and Stack Navigate and utilize a CMMS system. Use developed procedures to solve problems Assist in asset and consumable inventory management. Responsible for the tracking and proper labeling of all equipment per established procedures. Ensures that processes are completed in a timely manner pertaining to Service Level Agreements (SLA) and data is uploaded to the OSS accordingly. Provide physical security within the CoreSite premises. Provide day-to-day exceptional customer service and support. Incident escalation and report writing Monitor the building fire alarm system. Maintain and complete regular facility and security tours documenting and responding to found issues. Adhere to and promote CoreSite's Principles of Operational Excellence, culture, and 8 Guiding Principles.

Job Description Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming. Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation. Experience with perception (e.g. computer vision), time series data (e.g. text analysis) Big Data Experience strongly preferred, HDFS, Hive, Spark, Scala Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc. The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. The estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $103500 to $188888 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits : Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off

About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don't just build products - we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates. Job Summary We are seeking a talented and motivated Data Scientist to join our Machine Learning team. In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and deploying machine learning models for a variety of Networking, Security and Language use-cases. You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making. Responsibilities Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively. Data Preparation and Engineering: Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Handle missing values, outliers, and inconsistencies. Labeling datasets appropriately for classification problems. Machine Learning: Build, train, and evaluate machine learning models, including traditional algorithms like CNNs, XGBoost, Transformers, Various Graph ML algorithms, Time Series modelling, LLM etc. Model Deployment: Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. You need to be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc Problem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges. Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights. Qualifications Masters degree in Computer Science/Engineering. 8+ years of experience in data science or a related field. Strong proficiency in Python programming language. Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn). Knowledge of machine learning algorithms and techniques. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with natural language processing (NLP) and large language models (LLMs) is a plus. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Preferred Qualifications: Experience with Go programming language. Acceleration frameworks such as RAPIDS, Spark is preferable. Knowledge of cloud platforms (e.g., AWS, GCP, Azure). Experience with data version control and MLOps practices. Location: Santa Clara Applicants must be authorized to work in the US The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $225,000 - $300,000. A candidate's specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. Why Versa? At Versa Networks, we believe in taking care of our people - both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication. Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered. Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters. Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you. Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends. Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success. Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do. Parental Leave: Generous parental leave policies to support you during life's important moments. At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

The Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 5+ years of experience in data analysis software, with data science experience preferred. 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range $110,500-$149,500 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What You Will Do: As a Data Scientist Level 3 at Independent Software, you will play a mission-critical role in applying advanced data science, artificial intelligence, and machine learning techniques to complex national security challenges. In this role, you will support cyber operations by assessing large language models (LLMs) and advanced analytics to determine their effectiveness and applicability for Computer Network Exploitation (CNE) capability integration and operational utilization. You will work closely with the CNO community, supporting cyber mission tools and capabilities where familiarity with CNE concepts, workflows, and tooling is strongly preferred. Your work will focus on transforming complex, large-scale, and often unstructured data into actionable intelligence through statistical modeling, machine learning, and data-driven discovery. Leveraging strong Python skills, workflow automation, data normalization, and visualization techniques-particularly within Jupyter Notebooks-you will develop analytical tools, assess model performance, and communicate results to both technical and non-technical stakeholders. This role is ideal for a mathematically and statistically grounded professional who is inquisitive, discovery-oriented, and motivated to apply AI/ML in direct support of mission outcomes. Key Responsibilities: Apply data science expertise across at least two of the following domains: Foundations: Mathematical, statistical, and computational theory and application Data Processing: Data curation, normalization, transformation, visualization, reproducibility, and pipeline automation Modeling and Prediction: Statistical modeling, inference, forecasting, machine learning, and domain-specific analytics Assess large language models (LLMs) to determine effectiveness and applicability for CNE capability integration and operational use. Support the CNO community by analyzing data related to cyber tools, techniques, and capabilities. Perform data normalization, statistical analysis, and visualization to support operational decision-making. Draw conclusions from large, complex datasets using a combination of mathematical, statistical, and domain knowledge. Develop and apply analytic models and quantitative techniques tailored to unstructured or incomplete datasets with national security constraints. Translate mission and analytical requirements into technical data specifications and analytical workflows. Guide others in interpreting analytical results and model outputs. Effectively communicate complex technical concepts to diverse audiences, including non-technical stakeholders. Required Skills and Qualifications: Proficiency in Python, including experience developing analytics in Jupyter Notebooks. Strong background in mathematics and statistics, with applied experience in machine learning and statistical modeling. Hands-on experience working with large-scale, complex, and unstructured datasets. Experience with data normalization, transformation, and visualization techniques. Familiarity with AI/ML frameworks and assessing model performance and applicability. Experience supporting or analyzing cyber operations, with familiarity in Computer Network Exploitation (CNE) concepts strongly preferred. Experience with exploratory data analysis, hypothesis testing, and inference modeling. Workflow automation experience, including optimization of data pipelines and ensuring reproducible analytics. Strong problem-solving skills with an inquisitive, discovery-focused mindset. Education and Experience: Minimum Qualifications (One of the following): Master's degree with 8 plus years of relevant experience Bachelor's degree with 10 plus years of relevant experience Associate degree with 12 plus years of relevant experience Acceptable Degree Fields: Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science Related fields such as Computer Information Systems, Engineering, or Physical Sciences with a strong computational focus Other scientific disciplines may qualify if accompanied by 5 or more upper level courses in mathematics 300 level or higher and or computer science Broader degrees may be accepted if supported by a Data Science Certificate from an accredited institution Clearance Requirement: Must possess an active TS SCI with appropriate Polygraph to be considered for this role Why Choose Independent Software: At Independent Software, our people are the mission. We've built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive. When you join us, you will: Support critical national security missions that matter Be part of a close-knit, employee-first culture where your voice is heard Expand your skills through ongoing training, mentorship, and career development Enjoy competitive compensation, generous benefits, and work-life balance Ready to take the next step in your career? Join us and be part of something bigger. Apply today. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role: The position of the Data Engineer will be part of the Partner Revenue team that develops and deploys data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines to promote faster, better, data-informed decision-making within the business. The role is a hybrid position requiring 3 days a week in the office. You will report to the Director of Partner Revenue Technology. Responsibilities: You will develop scalable data and ETL solutions You will develop scalable data platform components You will support existing platforms and implement data pipelines that ingest, transform, and curate data You will support any future migrations to new platforms using cloud-based technologies Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world Basic Qualifications: 2+ years knowledge and experience in SQL for querying and data modeling 2+ years experience with any ETL frameworks or tools preferably Pentaho Data Integration or similar tools Demonstrated programming skills in Python and Shell scripting or similar language Preferred Qualifications: Knowledge in data modeling and data warehouse concepts and have technical abilities to develop and debug complex code using AWS/GCP cloud infrastructure Experience with ETL Tools, Shell scripting, SQL, Python, Java, Airflow, dbt with the understanding of data flows, data warehouse architecture, ETL concepts and processing of structured and unstructured data Proven knowledge of CI/CD practices and version control (Git) Demonstrated ability to code with VSCode or similar IDE tools with the ability to use AI coding assistant tools such as cursor and github copilot This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. REQ-019432 #LI-hybrid The annual base pay range for this role is between: $110,000-$130,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. This wouldn't be possible without the dedicated efforts of our technology teams who utilize and perfect our innovative technology solutions. High-performance proprietary development is the source of our success and competitive advantage at Belvedere, further fueling our passion for performance. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. We place a high premium on defining, developing, and deploying high-performance trading software using a team-based, holistic development approach. We look for passionate team members that excel and their contribution is critical to our continued success. The Data Platform team delivers high-quality data solutions to our core trading and affiliated teams. We support end users who rely on data for analytics and research, as well as those who depend on the database infrastructure backing production trading systems. Our mission is to ensure that well-curated, trustworthy data is available to the right people at the right time, along with the tools needed to perform complex analytics and make data-driven decisions. The Data Integrity Engineer is responsible for ensuring that Belvedere's data is accurate, consistent, and reliable across systems and over time. This role designs, implements, and maintains data pipelines and validation processes, including checks for completeness, consistency, and quality. The engineer monitors key datasets and dashboards, investigates anomalies, and partners with data engineers, quants, analysts, and business stakeholders to resolve root causes and prevent recurrence. They define and document data standards, business rules, and lineage so teams can confidently use data for reporting, analytics, and decision-making. This is a hands-on role working with SQL, Python and modern data platforms, and is critical to building trust in Belvedere's data. A passion for supporting data consumers and development teams, strong attention to detail, and genuine curiosity about data are essential. You will be expected to quickly build industry knowledge and technical skills, dive into complex problems, adapt to evolving technologies and business requirements, and actively contribute your insights to enhance team outcomes. What You'll Do Design, build, and operate reliable data pipelines and analytics that power critical metrics and dashboards across the firm Serve as a central point of contact for data requests from trading and technology teams, helping stakeholders understand what data exists and how to use it effectively Partner with stakeholders to translate business questions into clear data requirements, and set expectations around effort, complexity, and timelines for new pipelines and data sources Implement and iterate on metrics, reports, and analyses for both Trading and Technology, validating results and resolving discrepancies Define, implement, and maintain data quality checks (e.g., validation rules, reconciliations, anomaly detection) to ensure accuracy, completeness, and timeliness of key datasets Monitor data pipelines, dashboards, and quality indicators; proactively diagnose and remediate performance, reliability, and integrity issues Collaborate with other teams to modernize legacy processes, improve performance, reduce operational risk, and roll out new platform capabilities Document data definitions, business rules, lineage, and usage patterns so teams can confidently self-serve and trust the data they consume Participate in incident response for data-related issues, drive root-cause analysis, and implement preventative improvements Develop a deep understanding of our data sources, trading workflows, and quantitative analyses through hands-on querying, exploration, and collaboration with quants and engineers Contribute to establishing and evolving standards, best practices, and tooling for data integrity across the Data Platform team Occasionally perform duties outside of trading hours, including weekends and holidays, as required for scheduled maintenance or to address unforeseen emergencies What You'll Need Professional experience in data integrity engineering, data engineering, analytics engineering, or similar data-focused role Strong SQL skills and solid understanding of relational and non-relational data modeling Experience building, scheduling, and monitoring data pipelines using orchestration/workflow tools (e.g., Airflow, Dataform) Exposure to modern cloud data warehouses and tooling (e.g., BigQuery, Snowflake, Redshift) Proficiency with Python scripting Exposure to data visualization tools (e.g., Power BI, Looker, Tableau) Familiarity with data quality frameworks and practices (validation rules, anomaly detection, reconciliation, testing) Comfortable using Git or similar tools for version control Experience with monitoring/alerting tools (e.g., Grafana, Prometheus, Splunk, DataDog, GCP, Cloudwatch, Cloud Monitoring, etc.) Excellence in triaging and root cause analysis of ambiguous problems Clear written and verbal communication skills, including explaining data concepts to non-technical stakeholders High attention to detail, ownership mindset, and a demonstrated interest in understanding how data is used by the business Comfortable in a fast paced, time sensitive environment, dealing directly with executives, traders and quants $115,000 - $135,000 a year Additionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website here. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse. We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Through our efforts to provide a safe environment for you and our team members, all interviews for this position will be conducted virtually via phone or video. We will continue to actively hire and onboard new team members virtually through the remainder of the year unless otherwise noted. Any questions regarding the virtual recruiting process, please reach out to [email protected]. Work Schedule: Regular and reliable attendance during standard business hours with the ability to be on-site prior to the start of business on occasion Amount of Travel Required: None Sponsorship: Not available for this position We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Nordstrom is seeking a Data Analyst 2 to support our West Coast Omni Center. An integral part of our supply chain operations, the Data Analyst 2 is responsible for collecting, analyzing and presenting data to improve decision making around customer experience projects. This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data. They should be able to communicate those insights in a way that builds confidence and enables decisions that drive business value. This role is offered as hybrid in Seattle, WA or Riverside, CA. Candidates must be available to work onsite at either Nordstrom's corporate headquarters or West Coast Omni Center a minimum of 4 days/week to be considered for this position. A day in the life… Partner with key stakeholders on data analysis problems of the supply chain warehouses Provide support to build data pipeline of various equipment of various site for performance traceability. Apply common statistical methods, data modeling, and predictive analysis to answer strategic questions for the online business. Use advanced data visualization techniques to communicate solutions to business stakeholders. Understand the warehouse functions and build automation to improve stability. Demonstrate productivity through the efficient use of time and a commitment to strong results. You own this if you have… Bachelor's degree in mathematics, statistics, computer science, engineering, business administration or similar quantitative analytics discipline required 3+ years of corporate experience writing SQL queries from scratch to support reporting capability. 2+ years of corporate data analysis experience in online analytics 1+ years of professional experience using R or Python in an analytics capacity Supply Chain Fulfillment Centers/Distribution Centers experience is huge plus Strong verbal and written communication skills, ability to convey results to non-experts We've got you covered… Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document withint the FAQ section of the Nordstrom Careers site. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Nordstrom keeps job postings open for at least one day after the posting date. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. California: $87,500 - $145,500 Annually, Washington: $87,500 - $145,500 Annually This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_16.pdf

Role We are seeking a Health Data Analytics Engineer to join our team. This role involves a combination of constructing dbt data models for our healthcare analytics products, configuring the data models for production pipelines, and understanding product and analytics data needs. In this role, you will play a crucial part in developing, maintaining and testing data models that serve critical product and business functions for our company. As part of our team, you will ensure seamless data integration, transformation, and validation according to our product standards and requirements. This position offers the opportunity to work on cutting-edge data modeling techniques, improve data processes, and contribute to the success of our healthcare AI products. This role is fully remote within the US What You'll Do Designing, developing, and maintaining dbt data models that support our healthcare analytics products. Integrating and transforming customer data to conform to our data specifications and standards. Collaborating with cross-functional teams to translate data and business requirements into effective data models. Configuring and improving data pipelines that integrate and connect the data models. Conducting QA and testing on data models to ensure data accuracy, reliability, and performance. Applying industry standards and best practices around data modeling, testing, and data pipelining. What You Bring You have 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data. You are highly well-versed in SQL and ETL processes, significant experience in dbt is a must You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.) You have strong experience in data modeling and their implementation in production data pipelines. You are comfortable with the essentials of data orchestration As a person, you: Are detail oriented, passionate about healthcare data and its use in making impactful contributions improving the healthcare system. Find fulfillment and satisfaction in digging into complex data, uncovering subtle patterns, and implementing business logic to create resilient data models Own and take full responsibility for tasks from initiation to completion. Demonstrate versatility and proficiency in navigating complex processes. Approach ambiguity with an open mind, experiment with potential solutions, but know when to seek assistance. Employ pragmatism in selecting the most straightforward and effective solution for tasks. Welcome and provide constructive advice, prioritizing positive outcomes for the entire team. Thrive in a collaborative team environment. Nice To Haves Has experience with data pipelines in AWS Has experience working with analytical databases; has a firm understanding of the differences between operational and analytical databases Has worked on implementations/new client onboarding Has experience committing code to and reviewing code in GitHub Has experience working with established BI tools (e.g. Power BI, Tableau, Hex, etc) Our Tech Stack Databases: Snowflake (primary), PostgreSQL Cloud Infrastructure: We're an AWS shop and we use many AWS managed services Tools: dbt, Fivetran, Airflow, Hex Languages: SQL, Python/Jinja Compensation $140 to 170k base #LI-Remote

Industry/Sector Health Services Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Epic consulting at PwC, you will specialise in providing consulting services for Epic software solutions. Your work will involve possessing in-depth knowledge of Epic applications and assisting clients in optimising operational efficiency through analysis, implementation, training, and support. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Epic Consulting team, you will design, install, maintain, troubleshoot, and enhance database instances for a modern healthcare IT ecosystem. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain standards while building meaningful client connections. This role offers the chance to work with innovative technologies and contribute to impactful solutions that improve healthcare delivery. Responsibilities Design and enhance database instances for healthcare IT systems Troubleshoot and maintain operational databases across various environments Mentor junior team members to enhance their technical skills Evaluate and integrate new database versions and hardware Provide technical guidance during system migrations and transitions Collaborate with stakeholders to secure system performance and reliability Analyze complex issues to develop practical solutions Uphold rigorous standards of quality in every deliverable What You Must Have Bachelor's Degree At least 4 years of experience in database management Epic ODBA, Epic ECSA, Data Courier Certification, and/or Chronicles Certification What Sets You Apart Bachelor's Degree in Health Administration, Business Administration/Management preferred Experience with cloud services and security infrastructure Managing and optimizing database instances and applications Communicating technical issues in simple terms Demonstrating innovative problem-solving skills Providing mentorship and team leadership Prioritizing workloads and managing multiple projects Knowledge of patient care databases and financial applications Skilled in database administration and integration Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance