Data engineer jobs in Boise, ID

As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist Manager, Central Product Platform Responsibilities: 1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions 2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals 3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals 4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities 5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches 6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact 7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance 8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor 9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers **Minimum Qualifications:** Minimum Qualifications: 10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience 11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams 12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers 13. Proven track record of leading high-performing analytics teams 14. Experience communicating both in low-level technical details as well as high-level strategies 15. Track-record driving product roadmap and execution 16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering **Preferred Qualifications:** Preferred Qualifications: 17. Experience supporting analytic platforms, working with cross company stakeholders, and prioritizing features based on multiple goals 18. Ideally a background in experimentation and survey research 19. Familiarity with ML and AI operationalization. Specifically measurement, goaling, and performance optimization **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Indeed is the world's largest marketplace for jobs, and we have a unique dataset of jobs, resumes, applications, and outcomes. The Data Scientist I role partners closely with business partners across various functions to help execute strategic initiatives that increase revenue, drive operational scale, and improve efficiency for continuous growth. As a Data Scientist, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source packages and research publications, and creatively adapt models for solving business problems across Indeed. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field + 3+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams and using LLMs + A deep understanding of machine learning, statistical modeling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization **Salary Range Transparency** US Remote 122,000 - 178,000 USD per year Austin, Metro Area 122,000 - 178,000 USD per year New York City, Metro Area 146,000 - 212,000 USD per year Seattle, Metro Area 134,000 - 194,000 USD per year San Francisco, Metro Area 155,000 - 225,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds. Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit ********************************************** In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page (********************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** Reference ID: 46201

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $160.1K - $188.1K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability. Job Description Position:Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skil ls * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include * Provider Performance * Patient engagement * Cost and utilization prediction * Prefer candidates with relevant certification Qualifications Position:Data Scientist Location: Boise, Idaho Duration: 3 years on a part time basis (25% utilization) Required Skills * Should have worked in healthcare industry either at a provider, payer or HIE * Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on historical data. The trends to be predicted include * Provider Performance * Patient engagement * Cost and utilization prediction * Prefer candidates with relevant certification Additional Information All your information will be kept confidential according to EEO guidelines.

Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self- service BI, data science, hybrid/multi-cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo's large enterprise and mid-market customers across 30+ industries have received payback in less than 6 months. For more information, visit *************** We are a fast-growing, international organization with teams across four continents and we work with a cutting-edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way Job Description Are you looking to kick-start your career within an international software product company? Then our Data Engineer role for fresh graduates will be a fantastic opportunity for you. Denodo is a fantastic place to begin your career. We are the leader in Data Virtualization and we are embracing a culture that puts people first, where everyone has the opportunity to own their career and make a contribution towards the modern change, and is given the space to grow personally and professionally. At Denodo we focus on attracting, retaining and developing people who are committed to doing their best and deliver on their promises. We are looking for people who value different perspectives, who build sustainable relationships and who dare to shape the future and want to make a difference. Your career with us will combine cutting edge technology, exposure to worldwide clients across all industries (Financial Services, Automotive, Insurance, Pharma, etc.), exciting growth paths and direct mentorship. Your mission will be to help and assist our clients and partners to realize their full potential through accelerated adoption and productive use of Denodo's Data Virtualization capability to provide modern solutions for agile data delivery to empower people. Job Responsibilities & Duties * Education, coaching and support during the introduction as well as ongoing projects of the Denodo Platform to achieve high level of client satisfaction. * Diagnose and resolve client's inquiries related to operating Denodo software products in their environment. * Participate in problem escalation and call prevention projects to help clients and other technical specialists increase their efficiency when using Denodo products. * Contribute to knowledge management activities and promote best practices for project execution. * Implement product demos and pilots to showcase Data Virtualization in enterprise scenarios, cloud deployments and Big Data projects. * Provide timely, prioritized and complete customer-based feedback to Product Management, Sales, Support and/or Development regarding client's business cases, requirements and issues. Desired Skills & Experience Required Skills * Experience Range: Open to Fresh Graduates (must be top-ranked and exceptionally qualified) * University Degree relating to information systems or computer science (Bachelor or Master) * Understanding of Data Integration flavours * Solid understanding of SQL and good grasp of relational and analytical database management theory and practice. * Good knowledge of software development and architectural patterns. * Technical skills include Java development, JDBC, XML, Web Service related APIs, experience with version control systems (e.g. SVN, git). * Experience in Windows & Linux (and UNIX) operating systems in server environments. * Personal and Relationship qualities: Professional curiosity and the ability to enable yourself in new technologies and tasks. Active listener. Curiosity and continuous learning. Creativity. Team worker. * Communications: Good written/verbal communication skills in English (other international languages a plus) are essential for interaction with clients, making presentations, attending meetings and writing technical documentation. * Willingness to travel. Non-mandatory Skills ( Nice to have) * Basic experience in Big Data, NoSQL, and InMemory environments is welcome. * Basic experience in cloud environments (AWS, Azure, GCP...) is welcome. * Foreign language skills are a plus. Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law. We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee. Nearest Major Market: Boise Nearest Secondary Market: Meridian

Role: Data Lake Lead Duration: 6+ Months BGV will be done for the selected candidates. Role Description: Work with Big Data Architect for providing strong technical SME on AWS, Data Integration into Redshift, Data Mining and Analytics development. Skills - Strong development experience in following technologies: o C#, Web APIs o Amazon Web Services (AWS), AWS connectors o Redshift o Lambda Scripting o Machine Learning o Data Mining o Analytics tools on AWS o Linux OS and Shell scripting · Strong problem solver · Experience with changing requirements and quick in adapting to changes · Progressive development skills and quick learner · Strong communication skills · Experience with onsite/offshore delivery model Please respond with your word resume and requested details: Full Name : Work Authorization: Contact Number : Email ID : Skype ID: Current location: Willing to relocate : Rate/hr : Additional Information All your information will be kept confidential according to EEO guidelines.

This job is responsible for designing and engineering data solutions for the enterprise and, working closely with business, analytic and IT stakeholders, assists with the development and maintenance of these solutions. This includes coding data ingestion pipelines, transformations and delivery programs/logic for people and systems to access data for operational and/or analytic needs. Duties include but are not limited to the coding, testing, and implementation of ingestion and extraction pipelines, transformation and cleansing processes, and processes that load and curate data in conformed, fit-for-purpose data structures. The incumbent is expected to partner with others throughout the organization (including other engineers, architects, analysts, data scientists, and non-technical audiences) in their daily work. The incumbent will work with cross-functional teams to deliver and maintain data products and capabilities that support and enable strategies at business unit and enterprise levels. The incumbent is expected to utilize technologies such as, but not limited to: Google Cloud Platform, Hadoop, Hive, NoSQL, Kafka, Spark, Python, Linux shell scripting, SAS, Teradata, Oracle, and Informatica. **ESSENTIAL RESPONSIBILITIES** + In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Create high performance cloud and big data systems to be used with operational and analytic applications. + Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise. Work with business stakeholders and strategic partners to implement and support operational and analytic platforms. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers. + Working across multiple, disparate systems and platforms, design, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services. + Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules.Develop and maintain associated data engineering processes and participate in required operating procedures as part of the enterprise's overall information management activities.Includes data cleansing, standardization, technical metadata documentation, and the de-identification and/or tokenization of data. + Develop, optimize and/or maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments.These may be based on prototypes built by data scientists or capability frameworks implemented to allow data scientists to build efficiently in production environments. + Develop tasks across multiple projects with limited need for guidance. This includes providing guidance and education to Intermediate and Junior contributors within team. Manage relationships with customers of the function. Attend meetings with customers on a stand-alone basis or with team as needed. + Establish standards and patters for high performance data ingestion, transformation, and delivery of data analytic needs. Keep current with Big Data technologies in order to recommend best tools in order to perform current and future work + Other duties as assigned or requested. **EDUCATION** **Required** + Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field **Substitutions** + None **Preferred** + Master's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field **EXPERIENCE** **Required** + 5 years in Data platform development, data engineering, software development, or data science + 3 years in Big data or cloud data platform **Preferred** + 3 years in Healthcare Industry + 3 years of Data Warehousing + 3 years of Database Administration **LICENSES AND CERTIFICATIONS** **Required** + None **Preferred** + Cloud certification (GCP, Azure, AWS) **SKILLS** + SQL + Data Warehousing + Problem-Solving + Communication Skills + Analytical Skills + Spark or Python or related tool + Cloud Technologies **Language (Other than English):** None **Travel Requirement:** 0% - 25% **PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS** **Position Type** Office-based Teaches / trains others regularly Rarely Travel regularly from the office to various work sites or from site-to-site Does Not Apply Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely **_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._ **_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._ _As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._ _Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._ **Pay Range Minimum:** $78,900.00 **Pay Range Maximum:** $147,500.00 _Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._ Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J267183

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 1, 2025 Work You'll Do Client Engagement & Solution Scoping * Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. * Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). * Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. * Solution Architecture & Design * Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). * Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). * Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization * Lead model fine-tuning, prompt engineering, and customization for client-specific needs. * Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. * Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management * Manage solution rollout, including cloud setup, configuration, and production deployment. * Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance * Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. * Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication * Prepare executive-level reports, dashboards, and demos to summarize progress and impact. * Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership * Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. * Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. * 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. * Independent thinker who can create the vision and execute on transforming data into high end client products. * Demonstrated accomplishments in the following areas: * Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). * Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. * Knowledge of solution architecture, risk assessment, and mapping technology to business goals. * Familiarity with agile methodologies and iterative delivery. * Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available. Preferred: * Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. * Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 316523 Job ID 316523

**Work Arrangement** **Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager. **Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. **The Role** The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you. The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system. As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack. **What You'll Do (Responsibilities)** + Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework + Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results + Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance + Assess bias estimation and subsampling strategies used by system engineering + Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework + Conduct statistical analysis to evaluate ADS driving software aggregate measures + Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements + Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations + Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally **This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate** **Your Skills & Abilities (Required Qualifications)** + M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.) + 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting + Expertise in statistical modeling, machine learning and/or deep learning techniques + Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods + Expertise generating insights from multiple large-scale datasets + Proficiency in SQL and Python + Experience with data visualization tools and techniques + Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders + Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems **What Will Give You a Competitive Edge** **(Preferred Qualifications)** + PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.) + Experience in safety, automotive, or robotics data science is preferred **Compensation:** + The expected base compensation for this role is $160,200- $245,400 USD Annually + Actual base compensation within the identified range will vary based on factors relevant to the position + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Position Summary** We are seeking a **Lead - Agentic AI & Decision Intelligence** to pioneer the next generation of analytics and decision-making. This role will focus on **building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems** that transform how our Pharmacy supply chain business interacts with data. You will design and execute a **customer-centric analytics strategy** powered by AI agents, LLMs, and generative AI, ensuring insights are not just delivered, but acted upon. This is a highly visible role where you will own the **vision, strategy, and execution of AI-driven decision systems** , positioning the organization at the forefront of intelligent business analytics. **Required Qualifications** + 5+ years of experience in advanced analytics, **decision science, applied AI/ML** + 5+ years hands-on experience with **LLMs, generative AI, or conversational AI frameworks** (e.g., LangChain, AutoGen, CrewAI, RAG). + 5+ years programming skills in **Python and SQL** , with experience deploying AI systems in cloud environments (GCP, AWS, or Azure). + 5+ years' experience in at least one area of advanced modeling: **predictive analytics, reinforcement learning, NLP, or causal inference** . + 3+ years' experience **translating complex AI concepts into business impact** , including stakeholder alignment and business value sizing. + 3+ years' experience leading end-to-end **AI-driven solution delivery** : from data foundation to model orchestration to front-end adoption. + 3+ years' experience exhibiting strong communication, storytelling, and **customer engagement skills** , with a passion for building solutions that are intuitive and impactful. **Preferred Qualifications** + Experience implementing **agentic AI systems** for conversational analytics, autonomous reporting, or decision support. + Familiarity with **Vertex AI and Google Cloud Platform** , or equivalent enterprise AI platforms. + Familiarity with BI tools (Tableau, Looker, Power BI) and analytics engineering (Snowflake, modern warehouses). + Background in **healthcare or pharmacy analytics** , with a strong interest in improving outcomes through intelligent decision systems. + Experience with **UI/UX design, customer journey mapping, and design thinking** (Figma experience is a plus). + Knowledge of **data observability, governance, and AI ethics** to ensure trustworthy, transparent decision intelligence systems. **Education** **Qualifications** + Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. + Master's degree or PhD preferred **Pay Range** The typical pay range for this role is: $106,605.00 - $284,280.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 11/10/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job Title: Data Scientist - Wafer Bonding Overlay Reports to: Director of Technology - North America Identifies trends, patterns, and anomalies found in data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the organization. Essential Duties and Responsibilities: To perform this job successfully, individual must be able to perform each of the primary duties satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required: Determine which data are available and useful for the project. Collect, categorize, and analyze data. Create, validate, test, and update algorithms and models. Use data visualization software to present findings. Analyze large amounts of complex data to extract insights and drive decision-making. Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges. Design experiments to test hypotheses and measure the effectiveness of solutions. Make business recommendations based on data analysis. Must be able to travel domestically and internationally overnight, as needed, up to 30% of the time. Other duties, as assigned. Additional Duties and Responsibilities: Ability to analyze complex data sets and derive actionable insights for high performance engineering teams Strong problem-solving skills and the ability to think critically and creatively Stay updated with the latest advancements in data science and semiconductor manufacturing processes to improve methodologies and tools for continuous improvement. Complies with EVG and customer cleanroom policies. Ability to work well under minimal supervision as well as with a team. Excellent verbal and written communication skills An ability to effectively collaborate with internal and external customers regarding current issues. Qualifications / Education / Skills and Experience: Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field. Applicant should have at least two (2) years of proven experience in data analysis, machine learning, and statistical modeling, preferably in a semiconductor manufacturing environment. Industry experience with Overlay Analysis is beneficial and experience with fusion/hybrid bonding technologies and advanced Stepper technology is a plus. Excellent oral and written communication skills with the ability to effectively present information to factory employees and engineers. Statistical modeling and analysis, using tools such as JMP, R, Minitab, MATLAB and Origin Fluency in scripting languages such as Python, and JSL including capability for automating analyses Experience/familiarity working with time-series data and data visualization techniques Knowledge of AI/ML frameworks for predictive analytics Proficiency in SQL, NoSQL databases, scalable data pipeline development, applying data cleansing, outlier identification, and missing data techniques world be a plus, but not mandatory. Experience in providing data driven intelligence for optimization of manufacturing processes. Physical Demands: While performing duties of this job, individual is regularly required to stand, sit, reach with hand and arms, stoop, kneel, crouch, crawl and lift/move up to 50 pounds. Visual acuity required. Individual is required to use hands to finger, handle or feel objects, tools, or controls frequently and be able to reach with hand and arms above shoulder level occasionally. Ability to wear proper cleanroom attire and work inside the fab/cleanroom up to 75% of the time. Additional Comments: This job description in no way states or implies that these are the only duties to be performed by the employee in this position. Employee will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills or abilities.

Data EngineerRemote - United StatesJR012395 At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation. We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose. HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION At Ensono, we are evolving into a **software-first Managed Services Provider** -a place where **AI, automation, and human expertise work together** to deliver **10x productivity** for our clients. Our **Envision Operating System** is the backbone of this transformation, orchestrating operations across mainframe, distributed, and cloud environments. The **Data Engineer** plays a pivotal role in this vision. You won't just be moving data from point A to point B-you'll be **designing the pipelines and platforms that power predictive services, anomaly detection, and intelligent automation** . From ServiceNow tickets to mainframe telemetry, you'll turn raw, messy signals into **high-quality, AI/ML-ready datasets** that fuel real-time insights and proactive operations. This is not a back-office role-it's a **frontline enabler of transformation** . The work you do directly impacts uptime, cost optimization, and the ability for Ensono to move from manual, reactive support to a **zero-touch, predictive model** . We are looking for engineers who don't just architect pipelines but **get stuff done** -builders who can deliver working solutions, iterate quickly, and collaborate with data scientists, ML engineers, and ops teams to make sure models don't just run in notebooks but actually change how work gets done. If you want to be part of the team that's **rewiring managed services for the AI era** , this is your role. **What You Will Do:** + **Data Pipeline Development** - Build, optimize, and maintain ELT/ETL pipelines that move, clean, and organize data from ServiceNow, mainframe, distributed, and cloud systems. + **Integration with ServiceNow** - Develop robust data extraction, transformation, and ingestion patterns tailored for operational data (incidents, alerts, changes, requests) to make it AI/ML-ready. + **Data Infrastructure & Architecture** - Design scalable data models, storage frameworks, and integration layers in Snowflake and other modern platforms. + **Data Quality & Governance** - Implement standards, monitoring, and validation frameworks to ensure clean, trustworthy data across all pipelines. + **Collaboration with AI/ML Teams** - Partner with Data Scientists, ML Engineers, and MLOps to deliver production-grade datasets powering predictive models, anomaly detection, and intelligent runbooks. + **Automation & Optimization** - Identify opportunities to streamline data workflows, reduce manual intervention, and lower costs while improving reliability. + **Cross-functional Enablement** - Work with Finance, Procurement, Cloud Ops, Mainframe Ops, and Service Operations teams to ensure data is aligned to high-value business outcomes. **We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.** **Required Skills & Experience** + **Strong SQL & Data Modeling** + Expertise in **ELT/ETL pipeline development** and orchestration. + **Python** (must-have) plus at least one of Java, Scala, or C++. + Hands-on experience with **Snowflake** or equivalent cloud data warehouse platforms. + Proven experience **extracting, transforming, and operationalizing data from ServiceNow and common monitoring platforms / other enterprise systems (Workday, Concur, etc)** . + Familiarity with observability tooling and distributed data systems. + Knowledge of enterprise data governance, compliance, and lineage. + 4+ years of experience preferred. + Bonus: experience working directly with AI/ML feature pipelines. **Mindset & Values** + **Get Stuff Done** - You're biased toward execution and results, not endless design cycles. + **Business Impact Driven** - You build pipelines that _move the needle_ on uptime, cost reduction, and predictive operations. + **Collaborative Partner** - You thrive in a cross-functional environment, sitting at the intersection of Ops, AI/ML, and business stakeholders. + **Continuous Learner** - Always looking for ways to apply new tools and technologies to accelerate delivery. **Success Looks Like** + Reliable pipelines that pull ServiceNow data into Snowflake for **real-time incident prediction** . + Faster transition of AI/ML proof of concepts into production pipelines. + Demonstrated cost savings through **automated workload optimization** and **capacity forecasting** . + Enabling predictive services to scale seamlessly across mainframe, distributed, and cloud environments. **Why Ensono?** Ensono is a place where we unleash Associates to Do Great Things - for our clients and for your career. This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs. Whatever it means to you, we want Ensono to be the place where you can do great things. We value flexibility and work-life balance. Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location. + Unlimited Paid Day Off (PDO) Plan + Two robust health plan options through Blue Cross Blue Shield + 401(k) with a generous company match + Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts + Depending on location, ability to take advantage of fitness centers + Wellness program + Flexible work schedule As of the date of this posting, a good faith estimate of the current pay scale for this role is $114,000 to $148,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program. Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law. Pay transparency nondiscrimination statement/posting OFCCP's pay transparency policy can be found on OFCCP's website. If you need accommodation at any point during the application or interview process, please let your recruiter know or email ****************************** . JR012395

As our Data Engineer II, you will join our engineering team that is responsible for building the state-of-the-art data platform foundation for the company. Each day, you will design, develop, and maintain software applications that handle and process large volumes of data. To thrive in this role, you must have excellent problem-solving and analytical skills, with excellent verbal and written communication skills R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry's most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration. **Here's what you will experience working as a Data Engineer II:** + Designing, developing, and maintaining software applications that handle and process large volumes of data. + Collaborating with cross-functional teams to understand data requirements and develop software solutions that effectively integrate and utilize data. + Building and optimizing data models and databases for performance and efficiency. + Writing code to extract, transform, and load data from various sources into data warehouses or data lakes. + Implementing data quality checks and data governance processes to ensure data accuracy and consistency. + Troubleshooting and resolving software and data-related issues. + Working with big data technologies such as Hadoop, Spark, and Kafka. + Conducting performance testing and optimization of software applications that handle large datasets. + Strong problem-solving, analytical thinking, and communication skills are also essential for this role. **Qualifications:** + Minimum 2 years' experience as a professional software developer using modern programming or scripting languages required. + 2 years' experience following a structured Software Development Methodology that has a defined software development life cycle, with recent Agile experience preferred. + Excellent problem-solving and analytical skills with excellent verbal and written communication skills. Must be able to work effectively within a team (positive, process-oriented). + Experience using one of the following programming languages: Java, Scala, Python + Experience in Big data technologies like Spark, Hadoop, Kafka is a plus. + Experience with Databricks and/or Snowflake is a plus. + Experience in Cloud technologies like Azure or AWS is preferred. For this US-based position, the base pay range is $79,642.00 - $109,942.67 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training. This job is eligible to participate in our annual bonus plan at a target of 5.00% The healthcare system is always evolving - and it's up to us to use our shared expertise to find new solutions that can keep up. On our growing team you'll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career. Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team - including offering a competitive benefits package. (***************************** R1 RCM Inc. ("the Company") is dedicated to the fundamentals of equal employment opportunity. The Company's employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person's age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories. If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at ************ for assistance. CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent (*********************************************************************************** To learn more, visit: R1RCM.com Visit us on Facebook (******************************* R1 is the leader in healthcare revenue management, helping providers achieve new levels of performance through smart orchestration. A pioneer in the industry, R1 created the first Healthcare Revenue Operating System: a modular, intelligent platform that integrates automation, AI, and human expertise to strengthen the entire revenue cycle. With more than 20 years of experience, R1 partners with 1,000 providers, including 95 of the top 100 U.S. health systems, and handles over 270 million payer transactions annually. This scale provides unmatched operational insight to help healthcare organizations unlock greater long-term value. To learn more, visit: ********************* .

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

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Introduction The Technology & Products Group (TPG) Global Industrial Engineering (IE) team supports Micron's strategic initiatives by managing capital and operating budgets across global fab operations. The team partners with Engineering, Procurement, Finance, and TPG leadership to drive data-driven decisions and optimize operational efficiency. Position Overview This role reports to the Sr. Manager of Budget and Planning within the TPG IE team. The position focuses on budget planning, data engineering, and analytics to support fab operations. It requires strong collaboration across global teams and a proactive approach to improving budget and operational reporting. Responsibilities Collaborate with distributed team members to improve operational and budget analytics Present and communicate capital and operating budgets to leadership Invent and coordinate multi-functional projects with clear achievements Apply industrial engineering and statistical analysis to support strategic forecasting Develop innovative data solutions and conduct scenario modeling to guide planning decisions Minimum Qualifications Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Production Operations Management, or equivalent experience Intermediate proficiency in SQL, Python, and data visualization tools (e.g., Tableau) Strong analytical and problem-solving skills with experience in data engineering Demonstrated capability to **lead all aspects of** various projects and communicate intricate analysis effectively Advanced skills in Microsoft Office (Outlook, Excel, PowerPoint) Preferred Qualifications Bachelor's or Master's degree in Data Engineering, Analytics, Programming, or related field Advanced understanding of statistics, manufacturing science, and tool configurations Experience in capacity planning, inventory management, and scheduling Shown proficiency in managing teams with various functions and contributing to long-range planning Proven track record of driving efficiency improvements through data-driven insights As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_************* or ************** (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

**Position Objective:** The Data Engineer is working with our NASA client in Washington, DC. The ideal candidate will have strong data engineering expertise and can review human capital related information. We are looking for someone able to extract datasets from different sources, coordinate the cleaning process, maintain data integrity, and prepare them for client use in their enterprise data environment. This person will also serve as a lead consultant to identify and collect customers' analytic and architectural requirements. **Duties and Responsibilities:** + Serve as an advisor to our NASA OCHCO (Office of the Chief Human Capital Officer) customer while leading development in data engineering activities. + Develop, implement and maintain a data pipeline using the Databricks platform, including extracting datasets using APIs, manipulating common data formats (e.g., parquet, text files, JSON), and automating routine data refreshes. + Build AWS resources to support data pipelining, storage, and analysis efforts. + Research and recommend software, systems, and processes as needed. + Be an effective consultant, including gathering analytic requirements to provide clear and concise solutions. + Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting. + Conduct extensive quality control and record keeping procedures to ensure the highest levels of data integrity. **Qualifications** **Basic Qualifications:** + **Bachelor's Degree (Master's preferred) in a STEM or social science related field including coursework in basic statistics and measurement is required** + **3+ years of related data engineering or technical consulting experience** + **Experience developing and automating data pipelines using Databricks** + **Proficient in Python for object-oriented programming, automation, and data analysis; also experienced with computational tools such as R.** + **Experience with ETL processes, including ingesting data from raw sources (APIs, web scraping), transforming them into usable formats for analysis, and validating them with automated checks** + **Hands-on experience with GitHub for version control.** + **Familiarity with GitHub Projects for task management.** + **Experience building out common AWS infrastructure (e.g. EC2, S3, Lambda rules)** + **Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections** + **Excellent communication skills and proven ability to work with business customers and technical teams** **Minimum Qualifications:** + **Experience with Human Capital Data Analytics and ability to synthesize HR/Staffing data to create meaningful information that supports decision-making** + **Experience with automation of recurring reports** + **Performing data analysis and/or creating and applying HR performance metrics is desired** + **Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics** + **Experience creating and maintaining GitHub Actions workflows for automation or CI/CD** + **Bonus skill sets valued by the customer:** + **Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets** + **Supervising algorithm implementation in on-premise and cloud-based computing environments** + **Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Power BI, RShiny, and plotly to communicate findings** + **Ability to communicate effectively, orally and in writing, with non-technical and technical staff** + **Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects** ***This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.** **To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.** **GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at** ************************ **. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.** **Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.**

GovCIO is currently hiring for an Azure Cloud Notebook Python/PySpark developer to develop, test and implement AzureNotebook, PySpark/Python ETL and is experienced in Synapse database and SQL development. This position will be a remote position with occasional on site requirements in Fort Lee, VA. **Responsibilities** Need to be proficient in developing, testing and implementing Notebook, PySpark/Python ETL and experienced in Synapse database and SQL development. Need to have experience working in enterprise data warehouse projects. **Qualifications** Bachelor's with 8+ years (or commensurate experience) Required Skills and Experience 1. Must have the abilityto obtain and maintain a clearance up to a Top Secret. 2. This position requires U.S. Citizenship due to the nature of the role. 3. 5+ years' experience in development of Notebook, PySpark/Python, Synapse & Azure environment. 4. Good understanding of data warehousing, data lakes and business intelligence 5. Good requirement gathering, data analysis and customer facing skills 6. Active Security+ certification or acquired before start date. Preferred Skills and Experience 1. Clearance Required: Secret 2. Knowledge of Informatica and Teradata. 3. Understanding of BI reporting using PowerBI, business objects and Tableau. \#DSG #NSS #TMK **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **What You Can Expect** **Interview & Hiring Process** If you are selected to move forward through the process, here's what you can expect: + During the Interview Process + Virtual video interview conducted via video with the hiring manager and/or team + Camera must be on + A valid photo ID must be presented during each interview + During the Hiring Process + Enhanced Biometrics ID verification screening + Background check, to include: + Criminal history (past 7 years) + Verification of your highest level of education + Verification of your employment history (past 7 years), based on information provided in your application **Employee Perks** At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: + Employee Assistance Program (EAP) + Corporate Discounts + Learning & Development platform, to include certification preparation content + Training, Education and Certification Assistance* + Referral Bonus Program + Internal Mobility Program + Pet Insurance + Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. **Posted Pay Range** The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $110,000.00 - USD $130,000.00 /Yr. Submit a referral to this job (************************************************************************************************************************* **Location** _US-Remote_ **ID** _2025-6905_ **Category** _Information Technology_ **Position Type** _Full-Time_

at WebMD WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. The ideal candidate has experience and passion for data engineering. They are an expert in their field - whether that be the front end (data visualization, DAX, Power BI, SQL) or the back end (SSIS, Azure Data Factory, Synapse, data modeling, SQL) of the data engineering world.Exhibits expert knowledge of architecture and system design principles. This person has a consistent record of very strong ownership for their area, and is considered the guru in their technical space. This person is able to solve complex cross-functional challenges and perform complex analysis of business needs and provide innovative solutions. Works across the organization to foster a culture of architecture that allows for iterative, autonomous development and future scaling. Guides teams in the organization in anticipation of future use cases and helps them make design decisions that minimize the cost of future changes.DUTIES & RESPONSIBILITIES Builds software to extract, transform, and load data - SSIS, Azure Data Factory, Synapse Models data for efficient consumption by reporting and analytics tools - Azure Analysis Services, Power BI, SQL Databases Maintains previously deployed software and reports - Power BI, SSIS, AAS, SQL Server Designs dashboards and reports to meet business needs Presents technical problems with solutions in mind, in a constructive and understandable fashion Demonstrates proficiency by sharing learnings with the team and in technical showcases Independently discovers solutions and collaborates on insights and best practices Takes ownership of their work deliverables Actively seeks out opportunities to help improve the team's practices and processes to achieve fast flow Works with other developers to facilitate knowledge transfer and conduct code reviews Ensures that credit is shared and given when due Works to build and improve strong relationships among team members REQUIREMENTS 3+ years of Data Engineering experience Bachelor's Degree in Information Systems, Computer Science, Business Operations, or equivalent work experience Advanced experience with Standard Query Language (SQL) and data modeling/architecture Advanced experience with Data Analysis Expressions (DAX) Advanced experience and understanding of data integration engines such as SQL Server Integration Services (SSIS) or Azure Data Factory, or Synapse All offers are contingent upon the successful completion of a background check PREFERRED SKILLS AND KNOWLEDGE Proficiency with data engineering in a cloud development environment - Microsoft Azure is preferred Proficiency with self-service query tools and dashboards - preferably Power BI Proficiency with star schema design and managing large data volumes Familiarity with data science and machine learning capabilities Ability to interact with people, inside and outside the team, in order to see a project to completion Experience protecting individual privacy, such as required by HIPAA