Data engineer jobs in Omaha, NE - 391 jobs

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/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.

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: $104,000-$130,000 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 (**************************************** .

Leads the design, development, and optimization of the enterprise data warehouse and ELT processes. Responsible for defining and executing data mapping, building robust data ingestion and transformation pipelines, and designing scalable data models. Analyzes source data for quality, implements systemic improvements, and performs code reviews to ensure best practices. Defines advanced reporting needs, optimizes queries, writes light-weight applications, and collaborates with the team on data governance and asset management. Serves as a strategic resource to the team by providing recommendations for data strategies, leading knowledge sharing within the Data Strategy COE, and monitoring industry trends and cost implications to drive high-performing, cost-effective data solutions across the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES Designs and executes requirements for data mapping and ELT processes.Provides and designs solution elements for all data strategies and out of scope processes.Designs and builds data ingestion, transformation, and loading processes for the enterprise data warehouse.Analyzes data in source systems to assess data quality and design process improvement solutions for addressing within the source systems or as part of the ELT process.Designs and participates in the development of the data model(s) for the data warehouse.Defines and scopes advanced reporting needs.Builds views and optimizes queries for visualization tools.Writes code for light-weight applications.Investigates and identifies systemic data issues ensuring data accuracy and reliability.Assists in development and execution of data governance roadmap efforts within data engineering processes.Provides comprehensive end-user support and training on developed data products, fostering widespread adoption and data literacy.Assists the team in management of data assets.Performs design and code reviews to ensure best practices and standards are being followed by all team members.Monitors and learns about the latest data industry trends, software versions, and back-end tools to enhance capabilities.Tracks the cost implications of front-end tooling and provides recommendations regarding cost effective solutions to business and reporting needs.Identifies and considers the implications and decisions for performance improvement by being aware of overall tech stack and enterprise data strategy.Supports conversations and collaboration with the Data Strategy Center of Excellence for team knowledge sharing.Supports training on processes and tooling for the Data Strategy Center of Excellence.Guides the team in defining project timelines, expectations, and outputs.Monitors the project backlog and prioritizes the business needs communicated from stakeholders. QUALIFICATIONS EDUCATION / EXPERIENCE Bachelor's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field; or an equivalent combination of education and experience Five (5) or more years of requirements gathering, data analysis, report development, or related experience One (1) or more years of Insurance industry experience SKILLSAdvanced knowledge of SQL, Python, and relational databases Advanced knowledge in system integrations and database structures Excellent verbal and written communication skills Sharp analytical and problem-solving skills Strong ability to manage multiple projects simultaneously and adapt to rapidly changing priorities Proven ability to work in a team and to foster teamwork Proficient in Microsoft Office suite applications #LI-DD1

As part of our evolving Product strategy, DMSi seeks to expand our footprint of usable data at scale. DMSi creates and operates technology solutions to support the Building Materials industry. We want to offer uses for our data which serve future product initiatives, customer and business self-service needs, and broader industry needs. All the while, we intend to produce a cloud-based, multi-tenant, data environment which is responsive to the evolving nature of the data landscape and the industry. As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of data products-from enterprise data access to AI-powered analytics, building, scaling, and evolving our data pipeline, and shipping products that building materials professionals will use every day. You'll work within DMSi's broader architectural ecosystem, collaborating closely with Systems Engineering, Information Security, and the Architecture teams. As the expert voice for data, you'll advocate for best practices and drive execution within those guardrails. RESPONSIBILITIES AND DUTIES: Own the Data Pipeline Design, build, and evolve the data pipelines that power DMSi's data products-working within our established stack (PostgreSQL, Kafka, dbt). Drive technical decisions for scalable and performant data extraction, transformation, and delivery-selecting tools, evaluating build vs. buy, and establishing frameworks and processes. Establish data governance standards and quality assurance practices. Serve as DMSi's internal expert on data engineering best practices. Ship Products Launch multiple data products, including enterprise data access (PostgreSQL), event streaming (Kafka), and in-app analytics. Build production-ready pipelines that deliver customer data reliably at scale in a multi-tenant environment. Create a foundational data infrastructure to support AI and machine learning capabilities across DMSi's product portfolio. Partner with Product to iterate quickly from customer feedback to deployed improvements. Collaborate Across Teams Work closely with Systems Engineering and Architecure to ensure data infrastructure integrates seamlessly with DMSi's broader technical operations. Partner with Information Security to implement data security, access controls, and compliance requirements. Provide technical leadership and mentorship to Data Engineers on the team. Conduct code reviews that elevate quality and transfer knowledge across the organization. KNOWLEDGE, SKILLS, AND ABILITIES: 5+ years of hands-on data engineering experience, with at least 2 years in a senior or lead capacity. Deep expertise in SQL designing schemas, optimizing queries, and troubleshooting performance issues confidently. Production experience building and maintaining data pipelines using modern tools (dbt strongly preferred; experience with Airflow, Meltano, Singer, or similar also valuable). Strong Python skills for data processing, automation, and scripting. Cloud infrastructure experience (AWS and GCP preferred: S3, Glue, Athena, Redshift, Lake Formation). DevOps fluency-CI/CD pipelines, containerization, and infrastructure-as-code are familiar territory. Collaborative mindset and strong communication skills. Background in building data products or platforms (not just internal analytics). Exposure to machine learning pipelines or feature stores. EDUCATION AND EXPERIENCE: Bachelor or Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems, or related field preferred. Well-experienced in working in Agile shop. WORK ENVIRONMENT AND PHYSICAL DEMANDS: Normal office environment with use of computers and telephone systems; no unusual physical demands. Travel to customer locations including overnight, business air travel, and car rental.

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Leads the design, development, and optimization of the enterprise data warehouse and ELT processes. Responsible for defining and executing data mapping, building robust data ingestion and transformation pipelines, and designing scalable data models. Analyzes source data for quality, implements systemic improvements, and performs code reviews to ensure best practices. Defines advanced reporting needs, optimizes queries, writes light-weight applications, and collaborates with the team on data governance and asset management. Serves as a strategic resource to the team by providing recommendations for data strategies, leading knowledge sharing within the Data Strategy COE, and monitoring industry trends and cost implications to drive high-performing, cost-effective data solutions across the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES Designs and executes requirements for data mapping and ELT processes.Provides and designs solution elements for all data strategies and out of scope processes.Designs and builds data ingestion, transformation, and loading processes for the enterprise data warehouse.Analyzes data in source systems to assess data quality and design process improvement solutions for addressing within the source systems or as part of the ELT process.Designs and participates in the development of the data model(s) for the data warehouse.Defines and scopes advanced reporting needs.Builds views and optimizes queries for visualization tools.Writes code for light-weight applications.Investigates and identifies systemic data issues ensuring data accuracy and reliability.Assists in development and execution of data governance roadmap efforts within data engineering processes.Provides comprehensive end-user support and training on developed data products, fostering widespread adoption and data literacy.Assists the team in management of data assets.Performs design and code reviews to ensure best practices and standards are being followed by all team members.Monitors and learns about the latest data industry trends, software versions, and back-end tools to enhance capabilities.Tracks the cost implications of front-end tooling and provides recommendations regarding cost effective solutions to business and reporting needs.Identifies and considers the implications and decisions for performance improvement by being aware of overall tech stack and enterprise data strategy.Supports conversations and collaboration with the Data Strategy Center of Excellence for team knowledge sharing.Supports training on processes and tooling for the Data Strategy Center of Excellence.Guides the team in defining project timelines, expectations, and outputs.Monitors the project backlog and prioritizes the business needs communicated from stakeholders. QUALIFICATIONS EDUCATION / EXPERIENCE Bachelor's Degree in IT Management, Computer Science, Data Science, Engineering, or a related field; or an equivalent combination of education and experience Five (5) or more years of requirements gathering, data analysis, report development, or related experience One (1) or more years of Insurance industry experience SKILLSAdvanced knowledge of SQL, Python, and relational databases Advanced knowledge in system integrations and database structures Excellent verbal and written communication skills Sharp analytical and problem-solving skills Strong ability to manage multiple projects simultaneously and adapt to rapidly changing priorities Proven ability to work in a team and to foster teamwork Proficient in Microsoft Office suite applications #LI-DD1

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Responsibilities We are seeking a highly skilled and innovative Data Scientist to join our team at Offutt Air Force Base (AFB), supporting the 55th Wing (55 WG). The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support Intelligence, Surveillance, and Reconnaissance (ISR) operations. This position requires expertise in data science methodologies, tools, and technologies to extract actionable insights from complex datasets and enhance mission effectiveness. Key Responsibilities: Develop and implement data science solutions to support ISR operations and decision-making processes. Determine, create and populate optimal data architectures, structures, and systems. Apply machine learning algorithms, statistical modeling, and predictive analytics to solve mission-critical challenges. Design and maintain data pipelines, ensuring the efficient collection, processing, and storage of structured and unstructured data. Identify and address data quality issues, ensuring the accuracy and reliability of analytical outputs. Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. Ensure compliance with all security protocols, classification guidelines, and organizational policies. Qualifications Required Qualifications: Required Experience: Minimum 15 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years. Required Education: Master's degree from a college or university accredited by an agency recognized by the U.S. Department of Education or have a bachelor's degree from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related expert experience, for a total of 20 years, as a substitute to the master's degree. Technical Expertise: Proficiency in data analysis, machine learning, and statistical modeling. Experience with programming languages such as Python, R, or SQL. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Strong understanding of data engineering concepts, including ETL processes and database management. Skills: Exceptional analytical, critical thinking, and problem-solving skills. Strong written and verbal communication skills for producing reports and presenting findings. Ability to work collaboratively in a fast-paced, mission-driven environment. Security Clearance: Active Top Secret/SCI clearance is required. Preferred Qualifications: Experience supporting the 55th Wing (55 WG) or similar ISR organizations. Knowledge of ISR operations and intelligence data sources. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Certifications such as Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty, or equivalent. #AFACC Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Are you looking for? * Flexibility that fits your life, including work-from-home options * Paid time off driven by results and well-being, not a fixed number of days * A fun, collaborative environment * Support for continued learning and career growth * A culture based on trust, accountability, and bringing your whole self to work We are seeking an experienced, versatile Sr. Data Engineer to join our innovative and agile data team. This role is instrumental in designing, building, and evolving a modern, scalable data platform while working in deep daily collaboration with a complementary Data Analyst. As a senior member of the team, this position requires strong technical leadership, hands-on engineering expertise, and a customer-centric mindset. You will own core data architecture and engineering decisions while mentoring the Data Analyst and ensuring shared accountability for data quality, reliability, and delivery. What's the work like? You will... * Architect, implement, and maintain scalable data solutions using Google Cloud Platform, with BigQuery as the primary analytical data store. * Design, build, and optimize data pipelines using Python, dbt, and Airflow (Cloud Composer) to support analytics, reporting, and downstream integrations. * Develop and maintain robust APIs and integrations in Python, enabling seamless communication between the data platform and business applications. * Collaborate closely with the Data Analyst to validate data models, transformation logic, and pipeline outputs, ensuring accuracy and business alignment. * Support and contribute to PowerBI semantic models and dashboards, partnering with the Data Analyst to ensure performance, usability, and trusted metrics. * Act as a full-stack data professional, contributing across data architecture, ingestion, transformation, analytics enablement, visualization support, and API development. * Serve as a technical mentor to the Data Analyst, providing guidance on data modeling, SQL optimization, engineering best practices, and platform design. * Participate jointly with the Data Analyst in monitoring, UAT, troubleshooting, and operational support of data pipelines and reporting solutions. * Build and maintain technical documentation for data architecture, pipelines, and engineering standards; support user-facing documentation efforts as needed. * Work within an agile framework alongside a dedicated Product Owner to deliver iterative, high-value data solutions. * Provide proactive internal customer support and demonstrate strong customer-centric behaviors for internally developed data products and platforms. Okay, so why join FNIC? While we expect a lot from our employees at FNIC, we believe in giving just as much in return. Here's what you can expect when you join our team... * Competitive Pay: We offer market-competitive compensation packages that reflect your experience, expertise, and the value you bring to our clients and teams. * Benefits You Can Rely On: Health, dental, and vision insurance, HSA with employer contributions, 401(k) match, employer-paid disability coverage, and life insurance. * Freestyle PTO & Work-Life Balance: Our trust-based and freestyle time-off approach removes PTO banks and offers flexible telecommuting options. * Dress for Your Day: Whether you're client-facing or behind the scenes, we encourage you to dress in a way that helps you feel comfortable and confident. * Invested in Your Development: We support continuous learning through tuition reimbursement, training opportunities, and career growth paths across FNIC. * A Workplace That Cares: Access mental health support through our EAP, virtual fitness classes, in-office gym access (Omaha), and a culture that prioritizes connection, fun, and collaboration. Requirements What do I need to know? You have to have… * Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience). * 5+ years of professional data engineering experience, with at least 2 years in a senior or full-stack data engineering role. * Strong expertise with BigQuery / Google Cloud Platform, including data modeling and advanced SQL optimization. * Proven experience building and maintaining data pipelines using Python, dbt, and Airflow (Cloud Composer). * Experience supporting analytics and reporting platforms, including PowerBI semantic models and dashboards. * Familiarity with Azure DevOps or similar CI/CD and work management tooling. * Demonstrated ability to mentor and collaborate closely with analytics-focused team members. * Strong problem-solving skills, attention to data quality, and ownership mindset. * Ability to thrive in an agile, fast-moving environment with close business and technical collaboration. * Legal authorization to work in the United States without the need for employer sponsorship, now or in the future. We'd like it if you had... * Familiarity or experience with Applied System's Epic platform. * Previous experience or exposure to the Insurance industry. If you're passionate about building reliable data platforms, mentoring analytical talent, and owning end-to-end data solutions in a collaborative environment, we'd love to hear from you.

Experienced with end to end within Hadoop. Show proven development experience. Ability to go through and think about how to process and engineer. Understand how to do Java development. Strong SQL skills. Spark 2.3 version, Scala, Spark SQL is being used. Structured and unstructured data. Not looking for Hadoop admin just application developers. 3+ years is what they are looking for and overall development of 5 years experience. Looking to get people in the door. Likely eligible to hire. Need to be US-Citizen or Green Card Holder Opportunity Overview Duties include providing high-quality solutions by designing, coding, testing, debugging, documenting and maintaining programs. Other responsibilities include developing and modifying moderately complex information systems involving most phases of systems analysis and programming. Analyze, design, code, test and document programs and enhancements. Assist with defining and meeting business requirements Prepare detailed software specifications Provide program and system level estimates Conduct code walk-through's to assure quality of programs developed by other associates Mentor less-experienced programmer analysts. Must have qualifications: Java, Spark, Scala knowledge and experience Nice to have: Hive, Sqoop, HBase, Yarn, UNIX Shell scripting Position Requirements Experience with big data technologies Spark and Scala is required (Hadoop a plus) Strong development experience with Java/Spring Framework. Experience on Hive, Sqoop, HBase, Yarn, UNIX Shell Scripting is a plus. A minimum of five (5) years of development experience along with good analysis and trouble-shooting skills are required. Bachelor's degree in Management Information Systems ,computer science or related field Must have experience with web application interface. Experience on Micro services/ Rest API. Strong written and verbal communication skills, including the ability to explain complex technical issues in business terms Develop relationships with business owners Define root cause of problems and correct the most complex problems quickly to minimize impact to the business The Timberline Group Phone: ************ PO Box 385, Lebanon, MO 65536 ********************* ************************* "Delivering quality solutions through quality people"

**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress. We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future. **The Role** We are seeking a Senior Data Warehouse/Lakehouse Developer to design, build, and optimize enterprise data solutions. This role combines advanced development expertise with strong analytical skills to translate business requirements into scalable, high-performance data systems. You will work closely with architects, product owners, and scrum teams, provide technical leadership, and ensure best practices in data engineering and testing. **Location** The position is a Work-From-Home available from any US-based location. You must be a US Citizen or Permanent Resident/Green Card for consideration. **The Main Responsibilities** **Design & Development** + Develop and maintain ETL/ELT processes for Data Warehouse and Lakehouse environments. + Create and optimize complex SQL queries, stored procedures, and data transformations. + Build and enhance source-to-target mapping documents. + Assist with UAT build and data loading for User Acceptance Testing. + Estimate levels of effort (LOEs) for analysis, design, development, and testing tasks. **Technical Leadership** + Provide technical leadership and mentorship to team members. + Collaborate with architects, system engineers, and product owners to understand and detail business/system requirements and logical/physical data models. + Participate in and consult on integrated application and regression testing. + Conduct training sessions for system operators, programmers, and end users. **Analytical Expertise** + Analyze programming requests to ensure seamless integration with current applications. + Perform data analysis and mapping to ensure accuracy and consistency. + Generate test plans and test cases for quality assurance. + Research and evaluate problems, recommend solutions, and implement decisions. **Continuous Improvement** + Monitor and optimize data pipelines for performance and reliability. + Stay current with emerging technologies and recommend improvements to architecture and processes. + Adapt to changing priorities and aggressive project timelines while managing multiple complex projects. **What We Look For in a Candidate** **Technical Skills** + Proficiency in SQL and at least one programming language (Python, Java, Scala). + Experience with ETL tools (Informatica, Kafka) and Lakehouse technologies (Azure Data Factory, PySpark). + Familiarity with databases (Databricks, Oracle, SQL Server). + Knowledge of modeling tools (Visio, ERwin, UML) and data analysis tools (TOAD, Oracle SQL Developer, DBeaver). + Strong understanding of data warehousing concepts and Lakehouse architecture. **Analytical & Problem-Solving** + Ability to translate business requirements into technical solutions. + Strong troubleshooting and performance tuning skills. + Demonstrated organizational, oral, and written communication skills. **Experience** + 6+ years of experience with a Bachelor's degree OR 4+ years with a Master's degree. + Proven ability to lead technical teams and manage projects. + Experience in applications development and systems analysis. **Preferred Qualifications** + Project management experience. + Familiarity with CI/CD pipelines and version control (Git). + Exposure to big data frameworks (Spark, Hadoop) and cloud ecosystems (Azure, AWS, GCP). **Compensation** This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $82,969 - $110,625 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $87,117 - $116,156 in these states: CO HI MI MN NC NH NV OR RI $91,266 - $121,688 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: Benefits (**************************************************** Bonus Structure \#LI-Remote \#LI-PS Requisition #: 340407 **Background Screening** If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (************************************* . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. **Equal Employment Opportunities** We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. **Disclaimer** The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

Responsibilities We are seeking a highly skilled and innovative Data Scientist to join our team at Offutt Air Force Base (AFB), supporting the 55th Wing (55 WG). The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support Intelligence, Surveillance, and Reconnaissance (ISR) operations. This position requires expertise in data science methodologies, tools, and technologies to extract actionable insights from complex datasets and enhance mission effectiveness. Key Responsibilities: Develop and implement data science solutions to support ISR operations and decision-making processes. Determine, create and populate optimal data architectures, structures, and systems. Apply machine learning algorithms, statistical modeling, and predictive analytics to solve mission-critical challenges. Design and maintain data pipelines, ensuring the efficient collection, processing, and storage of structured and unstructured data. Identify and address data quality issues, ensuring the accuracy and reliability of analytical outputs. Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities. Ensure compliance with all security protocols, classification guidelines, and organizational policies. Qualifications Required Qualifications: Required Experience: Minimum 15 years of experience conducting analysis relevant to the specific labor category with at least a portion of the experience within the last 2 years. Required Education: Master's degree from a college or university accredited by an agency recognized by the U.S. Department of Education or have a bachelor's degree from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related expert experience, for a total of 20 years, as a substitute to the master's degree. Technical Expertise: Proficiency in data analysis, machine learning, and statistical modeling. Experience with programming languages such as Python, R, or SQL. Familiarity with data visualization tools such as Tableau, Power BI, or D3.js. Strong understanding of data engineering concepts, including ETL processes and database management. Skills: Exceptional analytical, critical thinking, and problem-solving skills. Strong written and verbal communication skills for producing reports and presenting findings. Ability to work collaboratively in a fast-paced, mission-driven environment. Security Clearance: Active Top Secret/SCI clearance is . Preferred Qualifications: Experience supporting the 55th Wing (55 WG) or similar ISR organizations. Knowledge of ISR operations and intelligence data sources. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Certifications such as Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty, or equivalent. #AFACC Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure. Target Salary Range $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

The Senior Data Engineer will be a key contributor in designing, building, and optimizing data solutions that power our analytics ecosystem. This role focuses on hands-on development, ensuring data integrity, performance, and scalability across our platforms. The Senior Data Engineer will collaborate closely with leads, analysts, and business stakeholders to deliver high-quality data products and solutions. * Design, develop, and maintain scalable data pipelines and integration solutions by analyzing business requirements and system dependencies to deliver efficient, reliable, and secure data solutions. * Build and optimize ETL/ELT workflows using pipeline and PySpark frameworks, following medallion architecture principles. * Implement best practices for data modeling, performance tuning, and scalability across data platforms. * Work with modern file formats (e.g., Parquet, Delta) to ensure efficient storage and processing. * Ensure data quality, security, and compliance across all solutions. * Monitor and maintain data systems, proactively identifying and resolving performance issues. * Collaborate with cross-functional teams to deliver integrated solutions for complex business problems. * Stay current with emerging technologies and recommend improvements to enhance the data ecosystem. * Contribute to documentation and knowledge sharing within the team. * 5+ years of experience in data engineering and analytics, with strong expertise in ETL/ELT processes including using medallion framework. * Proficiency in PySpark and Azure Data Services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL Databases). * Experience working with Parquet and Delta file formats. * Familiarity with architecture involving Warehouse, Lakehouse, and operational data stores. * Knowledge of CI/CD pipelines using Azure DevOps and Agile development methodologies. * Bachelor's Degree in Computer Science, MIS, or related field (or equivalent experience). * Excellent problem-solving skills and ability to work independently or in a team environment. * Strong communication skills to collaborate effectively across technical and business teams. Preferred Experiences * Working knowledge of Microsoft Fabric and Power BI (development and optimization). * Experience with API connectivity * Exposure to Databricks, Snowflake, or similar platforms. * Understanding of data governance, lineage, and audit logging.

We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization. **Key Responsibilities** + Design, develop, and optimize data pipelines using Python, Spark, and SQL. + Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources. + Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability. + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. + Develop and maintain data models, data dictionaries, and technical documentation. + Monitor, troubleshoot, and optimize data workflows for performance and scalability. + Ensure compliance with data governance, security, and privacy policies. + Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP). + Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. + Knowledge of any of the cloud platforms (AWS, Azure, GCP). + Understanding of data security, encryption, and compliance best practices. **Required Skills & Qualifications** + Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field + Good programming skills in Python and SQL + Good problem-solving, analytical, and communication skills + Ability to work collaboratively in a fast-paced environment + Familiarity with data orchestration tools (e.g., Airflow, Prefect) + Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.) + Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub) + Familiarity with data visualization tools + Basic understanding of ETL/ELT concepts, data modeling, and data architecture **Location** New hires will be hired at the Cognizant office in **Plano, TX or Teaneck, NJ,** where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment. **Start Date** New hires will start in **January or February 2026** . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively. **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. **Benefits** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role. _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Circa £60,000 (dependent on skills & experience) Permanent / 37 hours per week / Full-time (with flexibility for part-time working) Huntingdon, Lincoln or Peterborough - Hybrid Are you passionate about turning data into a trusted, high-value asset? At Anglian Water, we're looking for a Data Governance Lead to play a pivotal role in shaping how data is governed, protected and unlocked across our organisation. This is a high-impact specialist role within a small, expert data governance team, where you'll act as the technical authority for data governance and management. You'll lead the design, implementation and continuous evolution of enterprise-wide data governance strategies, drawing on external best practice in a fast-moving data landscape. Reporting to the Enterprise Data Governance Manager, you'll own the development of governance approaches for key business areas, creating and enforcing data policies, standards and stewardship models that deliver real business value. You'll work at the heart of major programmes and projects, partnering with senior leaders, accountable data owners, process owners and data stewards to drive improvements in data quality, compliance and usability. A trusted advisor, you'll influence at senior levels and help build capability across the organisation. This includes shaping and delivering engaging education and training (working closely with People Development), and supporting other technical roles to embed strong data ownership and stewardship practices. You'll bring deep expertise in data governance and data lifecycle management, with strong experience in advanced and automated data quality profiling, analysis and remediation. You'll be confident navigating complex regulatory environments, with a solid understanding of legal and compliance frameworks such as GDPR and NIS. Beyond Anglian Water, you'll represent the organisation externally - coordinating data sharing and open data products with Government bodies, regulators (including the Environment Agency and DWI), supply chain partners and industry peers. This will require strong judgement, clarity in defining complex data requirements, and the ability to balance stakeholder needs with governance and compliance expectations. If you're excited by the challenge of shaping enterprise data governance, influencing at scale and helping unlock the full value of data in a purpose-driven organisation, we'd love to hear from you. What you'll be doing * Designing, implementing and continuously improving data governance frameworks across multiple business and data domains * Translating enterprise data policies into practical standards, guidance and processes that work for the business * Embedding data ownership, stewardship and accountability across the data lifecycle * Leading improvements in data quality, including defining metrics, monitoring performance and resolving issues at source * Supporting the rollout and effective use of data governance tools such as data catalogues, metadata management and lineage tracking * Partnering with business leaders, data owners, stewards, architects and data product teams to ensure data is trusted, compliant and fit for purpose * Acting as a trusted advisor and first point of contact for data governance across assigned business areas * Building data capability through training, awareness sessions and data literacy initiatives * Coordinating open data and external data products, ensuring clear standards, ownership and regulatory compliance * Supporting compliance with data regulations including GDPR and environmental data standards * Driving continuous improvement through maturity assessments, insight-led reporting and sharing best practice What does it take to be a Data Governance Lead? * Degree or equivalent experience in Data Management, Information Systems, or related field * Extensive experience in the development and execution of enterprise data strategy * Substantial experience and expertise in data governance, data management data quality roles * Ability to influence key stakeholders at all levels * Deep expertise in designing and developing data governance practices across complex organisations * Ability to make strategic decisions and balance priorities in an agile and flexible way * Lead the development of successful business cases for the improvement of business data * Owning and evidencing of benefits realisation from data improvements * Experience in data governance or data quality roles * Familiarity with SFIA Level 4 capabilities * Experience in change management frameworks and ideally ADKAR * Extensive experience and understanding of data management and governance tools What's in it for you? * Private healthcare and physiotherapy * 24-hour Virtual GP service for you and your household * 26 days annual leave (rising with service) * Competitive pension scheme - Anglian Water double-matches your contributions up to 6% (up to 18% combined) * Bonus scheme * Flexible benefits and working culture * Life Assurance (8× salary) and Personal Accident cover * Enhanced family leave policies * Great discounts and perks Why apply? Shape how data is trusted, governed and used across Anglian Water, making a real impact in a purpose-driven organisation. You'll work at enterprise scale as a recognised data governance expert, influencing senior stakeholders and helping unlock the full value of data for customers, communities and the environment. Closing date: 27 January 2026 #loveeverydrop

Great Plains Communications is looking for an experienced and highly performing Data Architect to join our growing team. This position can be remote. Must be willing to travel to the Blair, NE corporate office occassionally as needed. Duties include but are not limited to: Designs and implements data architecture solutions to meet business requirements and technical specifications. Implements data integration solutions to facilitate data movement, transformation, and synchronization across systems. Manages PostgreSQL databases, including database design, configuration, optimization, and performance tuning. Plans, manages, and directs Snowflake's data warehouse architecture and operations. Monitors and maintains database security, access controls, and data encryption mechanisms to protect sensitive information. Creates and maintains documentation for data architecture designs, configurations, and best practices. Collaborates with cross-functional teams to understand data requirements and translate them into actionable design specifications. Collaborates with the Data Governance team that will monitor and audit data processes to ensure compliance with data governance policies. Provides technical leadership and guidance to data management teams, developers, and other stakeholders. Develops and enforces policies for data lifecycle management, including data retention, archiving, and disposal. Works with database administrators to implement and optimize physical data models. Collaborates with DevOps and Infrastructure teams to ensure reliable deployment and monitoring of data services. Collaborates with cross-functional teams to understand data needs and sources and translates them into effective data models. Designs optimal table layouts, including strategies for partitioning, clustering, and indexing. Creates and maintains comprehensive Entity-Relationship Diagrams (ERD) to visualize data entities, attributes, and relationships. Designs data integration solutions to consolidate data from multiple sources into a unified model to eliminate redundancy and ensure data integrity. Translates logical models into physical data models tailored for specific database management systems (DBMS) like SQL Server, Oracle, or PostgreSQL. Defines and manages schema structures, naming conventions, and database organization in Snowflake. Defines database schema, tables, indexes, and constraints to optimize performance and storage. Maps data from source systems to target systems, ensuring consistency and accuracy. Develops and documents data mapping specifications for ETL (Extract, Transform, Load) processes. Develops and maintains a data dictionary that provides detailed descriptions of data elements. Manages metadata to ensure data models are well-documented and easily understood by stakeholders. Communicates data modeling concepts and designs effectively to both technical and non-technical audiences. Validates data models by conducting thorough testing and quality assurance checks. Stays updated with industry best practices, trends, and tools in data modeling and architecture. Continuously refines and improves data models to adapt to changing business needs and technologies. Develops and enforces a data classification framework and access policies to protect sensitive information. Collaborates with stakeholders to assess data sensitivity and implement security controls and role-based access. Conducts audits, provides training, and ensures compliance with industry regulations and evolving standards. Designs data infrastructure that supports AI, ML, and advanced analytics use cases. Builds secure, scalable pipelines that integrate AI while ensuring governance and compliance. Identifies innovation opportunities and aligns data strategies with business goals. Performs other related duties as assigned by management. Bachelor's degree or comparable experience and/or training in Computer Science, Information Technology, or related field 5+ years of experience in data architecture, data modeling, and database management Certifications in data architecture, database management, or related fields are a plus Experience in the telecommunications sector desirable For applicants in CO, the payscale is $90-120k DOE. If you are ready to take your career to the next level and make a difference in the lives of customers and your team, we want to hear from you! Join us at Great Plains Communications, where your expertise will help create superior customer experience and a positive work environment. Apply today and be part of a team that values excellence and growth! Competitive salary and benefits provided. To apply, visit ********************* or click apply High-performing network, high-performing people. Great Plains Communications is the leading fiber-driven technology provider in the Midwest, delivering fast, reliable solutions including high-speed internet and a full suite of residential and business services to nearly 200 communities across Nebraska, Colorado, Iowa and Southeast Indiana. Powered by our 19,000-mile MEF-certified, high-capacity network, we provide state-of-the-art connectivity to homes, businesses and carriers backed by custom-built strategies, expert engineering and local support. What sets us apart? An unwavering commitment to customer experience. From design to deployment, maintenance and beyond, our local experts craft tailored solutions and deliver personalized, ongoing support to keep communities seamlessly connected.

We're looking for a technical, highly collaborative Data Architect - Consultant who can bridge strategy, engineering, and delivery. This role is responsible for defining the problem to solve, shaping solution approaches, and leading projects end‑to‑end with strong facilitation and execution skills. You'll play a key role in maturing our code review process, establishing data architecture best practices, and elevating the quality and consistency of our delivery. The ideal candidate combines hands-on technical fluency with exceptional communication, enabling them to partner closely with engineers, guide architectural decisions, and drive continuous improvement across teams. **Essential Functions** Lead the design, implementation, and management of complex data infrastructures across multiple clinical and enterprise projects. Apply deep expertise in relational databases, cloud technologies, and big data tools to deliver scalable, efficient, and secure data solutions. Manage multiple complex projects simultaneously, ensuring alignment with clinical program objectives and organizational priorities. Provide leadership and direction on enterprise-level data integration strategies. Mentor junior and senior team members, fostering technical growth through structured guidance and code reviews. Collaborate with cross-functional teams and stakeholders to ensure high-quality data architectures and pipelines across cloud and on-premise systems. **Skills** + Leadership & Project Management - Ability to lead teams and manage multiple complex initiatives concurrently. + Mentorship & Code Review - Skilled in guiding junior team members and enforcing best practices through structured reviews. + Collaboration & Stakeholder Management - Strong interpersonal skills to work effectively with clinical program leaders and technical teams. + Data Architecture & Design - Expertise in designing scalable and secure data solutions. + Cloud Infrastructure & Data Solutions - Proficiency in AWS, Azure, or similar platforms. + ETL/ELT Development & Data Integration - Building and optimizing data pipelines. + Database & Performance Optimization - Ensuring high availability and efficiency. + Data Modeling & Documentation - Creating clear, maintainable models and technical documentation. + Data Governance & Security - Implementing compliance and security best practices. + Coding/Programming - Strong programming skills for data engineering and architecture. Minimum Qualifications: + Expert proficiency with SQL and extensive experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL). + Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions. + Mastery of programming languages such as Python and PySpark for data engineering tasks. + In-depth knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks). + Outstanding communication skills for collaborating with stakeholders and teams. + Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data architecture projects to ensure alignment with business goals and efficient execution. + Demonstrated ability to stay updated on industry trends and advancements. + Proven experience in providing mentorship and guidance to junior and senior architects. Preferred Qualifications: + A Master's Degree in an analytics-related field such as information systems, data science / analytics, statistics, computer science, mathematics and 4 years of experience. + or + 8 years of professional experience in analytics role in an analytics-related field such as statistics, mathematics, information systems, computer science, data science / analytics. + or + Bachelors degree in an analytics-related field such as information systems, data science / analytics, statistics, computer science, mathematics. With 6 years of experience + Experience with Databricks, Apache Spark, and Delta Lake for real-time and batch data processing. + Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs. + Experience working with APIs to retrieve and integrate data from external systems. + Experience developing APIs to provide data as a product. + Familiarity with CI/CD pipelines for data engineering workflows. + Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). + Experience in a healthcare environment + Familiarity with business intelligence tools such as Tableau, Power BI, or Looker for delivering insights from data architectures Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment. **Location:** Lake Park Building **Work City:** West Valley City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $60.06 - $94.57 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 7. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 8. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/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.