Data engineer jobs in Arkansas

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for "Find Jobs for Students". All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page. Closing Date: Type of Position: Professional Staff - Project/Program Administration Workstudy Position: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas at Little Rock The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button. If you have a disability and need assistance with the hiring process please contact Human Resources at ************. For general application assistance or if you have questions about a job posting, please contact Human Resources at ************. Department: COSMOS Department's Website: ************************ Summary of Job Duties: The Project/Program Specialist (Data Engineer IV) position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or contract. The position renewal is contingent upon continued grant funding and satisfactory job performance. The Project/Program Specialist (Data Engineer IV) will collect, manage, and convert raw data into usable information for analytics and decision-making. This role requires comprehensive data analysis skills, developing and maintaining datasets, improving data quality and efficiency through leveraging data systems and pipelines, interpreting trends and patterns of data, creating complex data reports, and building algorithms and prototypes. In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure, classification methods and infrastructure, and visualization dashboards. The Project/Program Specialist (Data Engineer IV) will collaborate with researchers, participate in research projects, and interact with other developers at the COSMOS research center and partner organizations to achieve the best possible performance metrics across various projects. Excellent communication and problem-solving skills are essential for this on-campus position, as the data engineer's role is to find opportunities to contribute to cutting-edge research in the exciting field of social computing. This position is governed by state and federal laws and agency/institution policy. The position reports to Dr. Nitin Agarwal (******************), Maulden-Entergy Endowed Chair, Distinguished Professor, and Director, COSMOS Research Center at UA-Little Rock. Qualifications: Required Education and/or Experience: * The candidate must have a master's degree in Computer Science, Information Science, or a related discipline; * The candidate must have 4+ years of experience as a data engineer, software developer, software engineer, database administrator, or other similar roles; * The candidate must have 2+ years of experience leading a team of data engineers; * Having a Ph.D. degree in Computer Science, Information Science, or a related discipline is a plus. Job Duties and Responsibilities: * Lead a team of data engineers; * Collecting and analyzing raw data from various sources, including social media platforms; * Organize and maintain datasets; * Improving data quality and process efficiency; * Design and manage data ETL pipelines that encompass the journey of data from source to destination systems, processing 10 million+ data points daily, utilizing Kafka for real-time data streaming and MongoDB for NoSQL storage across Kubernetes clusters; * Design and deploy scalable microservices in Python and Golang, leveraging FlaskAPI, GraphQL, and Docker, ensuring sub-second response times and efficient concurrency with goroutines; * Migrated large amounts of data from legacy databases to MongoDB to achieve sub-second access latencies and optimize storage for unstructured data through Elasticsearch integration; * Set up and manage the infrastructure required for ingestion, processing, and storage of data; * Evaluate the model needs and objectives, interpret trends and patterns of data; * Conduct complex data analysis and report on results; * Prepare data for analysis and reporting by transforming and cleansing it: * Combining raw information from different sources; * Explore ways to enhance data quality and reliability; * Identify opportunities for data acquisition; * Develop analytical tools and programs; * Collaborate with teams at COSMOS on several projects; * Managing services and operational infrastructure for system reliability and resiliency; * Creating continuous integration continuous deployment (CI/CD) pipelines with Jenkins and GitLab CI for automating service/system deployment; * Integrate Prometheus for monitoring, Grafana for real-time dashboarding/visualization, and log analysis with Kibana sourced from Elasticsearch; * Front-end development (HTML/CSS, JavaScript, Node.js, etc.); * Training machine learning (ML) models on datasets; * Creating continuous integration continuous deployment (CI/CD) pipelines with Jenkins and GitLab CI for automating service/system deployment: * Integrate Prometheus for monitoring, Grafana for real-time dashboarding/visualization, and log analysis with Kibana sourced from Elasticsearch; * Front-end development (HTML/CSS, JavaScript, Node.js, etc.); * Deploying machine learning (ML) models; * Enhance the system's fault tolerance by incorporating alert mechanisms; * Develop frameworks like Spring Boot, React: * Work on other tasks as asked. Knowledge, Skills, and Abilities: * Expert proficiency level in working with data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques; * Expert proficiency level in working with programming/scripting languages (e.g., Java and Python); * Expert proficiency level in working with data integration platforms and SQL database design; * Expert proficiency level in working with numerical, analytical, and data security skills; * Expert proficiency level in collecting raw data from various social media platforms; * Expert proficiency level in creating CI/CD pipelines; * Expert proficiency level with front-end development (HTML/CSS, JavaScript, Node.js, etc.); * Expert proficiency level with training and deploying machine learning (ML) models on datasets; * Ability to lead a large team of data engineers (5+ members); * Expert proficiency level with Kafka and MongoDB for NoSQL storage across Kubernetes clusters; * Expert proficiency level with microservices, Python, Golang, FlaskAPI, GraphQL, and Docker: * Expert proficiency level with Elasticsearch, Grafana, Prometheus, and Kibana; * Expert proficiency level in data modeling concepts (ERD, Dimensional Modeling, Data Vault) and data APIs (RESTful API); * Expert proficiency level in data processing software (e.g., Hadoop, Spark, TensorFlow, Pig, Hive) and algorithms (e.g., MapReduce, Flume); * Expert proficiency level in cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Amazon Red Shift, Google BigQuery, Azure Synapse); * Expert proficiency level in technical communications. Additional Information: Salary Information: $95,000 Required Documents to Apply: Resume Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Dr. Nitin Agarwal (******************) Maulden-Energy Chair and Donaghey Distinguished Professor Director, COSMOS Research Center All application materials must be uploaded to the University of Arkansas System Career Site ***************************************** Please do not send to listed recruitment contact. Pre-employment Screening Requirements: Criminal Background Check, Sex Offender Registry The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act. Constant Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Frequent Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Occasional Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Benefits Eligible: Yes

**A Day in the Life:** The **Senior Data Engineer, PySpark** will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME's within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL LEADERSHIP + Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines. + Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms + Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code + Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists + Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance + Collaborate across developers as part of a SCRUM or Kanban team ensuring collective team productivity + Participate in peer reviews and QA processes to drive higher quality + Ensure that 100% of code is well documented and maintained in source code repository. INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance. + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of leadership within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + 5+ years professional experience as a data engineer, software engineer, data analyst, data scientist or related role + Strongly prefer hands on experience with DataBricks or Palantir + Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault) + Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc...) + Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays preferred + Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis. + Strong capabilities in a scripting language such as Python, R, Scala, etc. + Strong capabilities in SQL and experience with stored procedures + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. **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

General Purpose Supports IT services by performing warehouse and line support duties to include all types of receivables, disbursals, movement of all types of material, parts supplies, equipment, and finished product. Routes and transports material to proper areas/point of use, maintaining audits, part identification, location, and quantity information to support accuracy of perpetual inventory systems. Inputs to an inventory data base through variety of processes. Position: IT Data Warehouse Specialist Hours: Full Time Location: Fort Smith, AR At Aegis Therapies, you'll be part of a team that truly makes a difference in the lives of others. Here, your contributions are as meaningful to us as to those we serve. You don't have to be a caregiver to want to help improve lives. No matter your skills, you can help fulfill Aegis' mission to inspire change, impact lives and innovate to drive success. By joining our corporate team, you'll work with others who share your passion, and you'll receive support from a team that appreciates your unique contributions. We offer a comprehensive benefits package, paid time off and the chance to grow your career at a company that values each individual. Apply today. Qualifications: A High School Diploma or GED require Related experience in inventory/equipment warehousing preferred Basic computer literacy and ability with an aptitude to learn company software EEO Statement: Aegis Therapies and its Family of Companies is committed to a diverse workforce and is an Equal Opportunity Employer. For detailed information on your rights, Click Here OR ***************************************************************************************

Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs Position : Data Stage ETL Architect Location : Bentonville, AR Type : Full Time Permanent Job Description : Mandatory Technical Skills : Extensive working experience in Data Stage 8.1, 8.5, Data Stage 9.1 - Create reusable components to automate and stream line the process with out much manual intervention in ETL process. • Experience in handling multiple projects at the same time without other's assistance. • Advanced Dimensional modeling concepts, RDBMS concepts and Database concepts. • Experience in handling large scale enterprise data warehousing & business intelligence projects • Very Good Communication Skill to handle JAD Sessions and business meetings • Providing technical leadership to development team and act as a bridge between Business and Application Development team • Hands on design experience of Star-Schema ,Snowflake, Dimensional Modeling for Enterprise Data Warehouse. • Should familiar with Data Warehouse Design processes , ETL Design techniques and BI reporting capabilities. Extensive working experience in doing ETL with - Teradata/Exadata/SQL server/ Oracle/SAP Hana/Hadoop. • Good Analytical skills and ability to work in a time-constrained and team-oriented environment • Ability to provide and present multiple Data Model design solutions • Rational Thinker Desirable Technical Skills : Teradata, Hadoop, Mainframe Mandatory Functional Skills : ETL Total Experience Required : 10 Years Additional Information Contact "Mohit Maurya " for more details at ************ Ext:141

Role: Data Engineer Request-ID: 15122-1 Onsite - Bentonville, AR Mandatory Areas Must Have Skills - Hadoop- 5+ Yrs of Exp Scala - 4+ Yrs of Exp GCP -3+ Yrs of Exp Hive- 4+Yrs of Exp SQL - 3+ Yrs of Exp strategic data planning, standards, procedures, and governance- 2+ Yrs ETL Process / Data Pipeline - 4+ Years of experience JD: Client is looking for a Data Engineer strong background in data projects. The ideal candidate should be an expert in leading projects in developing and testing data pipelines, data analytics efforts, proactive issue identification and resolution and alerting mechanism using traditional, new and emerging technologies. Excellent written and verbal communication skills and ability to liaise with technologists to executives is key to be successful in this role. As a Data Engineer at UST Global, this is your opportunity to· * Assembling large to complex sets of data that meet non-functional and functional requirements * Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes * Building required infrastructure for optimal extraction, transformation and loading of data from various data sources * Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition * Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues * Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues * work on a multi-vendor multi-geo team support one of the complex enterprise environment Mandatory Skill sets * Technology expectations o 5 + years of experience in Hadoop/Big Data o 2+ years of experience in strategic data planning, standards, procedures, and governance o 4+ years of hands-on experience in Python or Scala o 3+ years of experience in writing and tuning SQLs, Spark queries o Experience in understanding and managing Hadoop Log Files, Hadoop multiple data processing engines. o Experience in analysing data in HDFS through Map Reduce, Hive and Pig o Experience with scripting languages: Python, Scala, etc. o 3+ experience in GCP environment * Other required skills o Strong verbal and written communication skills to effectively share findings with shareholders. o Good understanding of web-based application development o Should be an independent contributor from day one. o A bachelor's degree in computer science or relevant fields is mandatory. o Should be hands on and be able to work in an agile, fast moving environment.

Objective of the Job This position focuses on problem solving by implementing actionable data-driven business solutions, predicting emerging trends, and providing recommendations to stakeholders through data analysis and modeling. Duties and Responsibilities Uphold high integrity while supporting Safety, Environmental, and Quality Systems. Identify business use cases in consultation with stakeholders, peers, and supervisors. Analyze data requirements, create models, and provide solutions (combination of ML and Analytics). Document processes and mentor team members. Participate in setting up an analytics platform for Self-Service Analytics. Qualifications Bachelors degree in computer science, engineering, or a related field; masters degree preferred. Minimum of 2 years of experience in Analytics and the use of Machine Learning algorithms. Demonstrated ability with visualization tools, ML frameworks, and related technologies. Entrepreneurial drive with the ability to deliver projects on time. Strong aptitude for learning new technologies and analytics techniques. Working Conditions and Physical Requirements Ability to work onsite or remotely from Arkansas, Tennessee, Texas, or Mississippi, with occasional onsite visits as needed. Supervisory Responsibility This position does not supervise others; however, the scope of the role may change as the organization grows. Working Place: Osceola, Arkansas, United States Company : 2025 OCt 16th Virtual Fair - US Steel

Objective of the Job: This position focuses on problem solving by implementing actionable data-driven business solutions, predict emerging trends, providing recommendations to stakeholders by analyzing and modelling a vast variety of data. Duties and Responsibilities: 1) Upholds a high integrity for BRS Systems while supporting Safety, Environmental & Quality Systems 2) Identify business use cases in consultation business stake holders, peers and superiors. 3) Analyze data requirements, create models and provide solutions (combination of ML and Analytics) 4) Document the processes and mentor others in the team. 5) Participate in setting up an analytics platform for Self Service Analytics. Qualifications: 1) Bachelor's degree in computer science or engineering or related field; master's degree preferred. 2) Must have minimum 2 years of experience in Analytics and use of Machine Learning Algorithms. 3) Demonstrated ability in Visualization tools, ML Frameworks, and other related topics. 4) Entrepreneurial drive, with demonstrated ability to deliver projects on time 5) Strong aptitude for learning new technologies and analytics techniques Working Conditions and Physical Requirements: This position requires the ability to work on site or remote from the states of Arkansas, Tennessee, Texas , or Mississippi with occasional on-site visit as needed. Supervisory Responsibility: This position does not supervise others - the scope of the role may change as time progresses and organization grows.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Apprenticely is helping Walton Arts Center hire a Junior Data Engineer in Fayetteville, AR & Rogers, AR. About the Employer: At Walton Arts Center/Walmart AMP, we strive to be the place where a diverse mix of talented people want to come, to stay and do their best work. We pride ourselves on bringing the best Arts and Entertainment to our audiences in Northwest Arkansas, and we know our organization runs on the hard work and dedication of our passionate and creative employees. Walton Arts Center and the Walmart AMP aspire to be welcoming spaces where people can be their authentic selves. We value diversity and inclusivity in every aspect of our operations.What's an Apprenticeship? An apprenticeship is a full time position with a focus on learning! During your first year of employment, you are guaranteed formal training, a mentor, and a pay raise! Employers who have committed to the apprenticeship model for hiring are committing to building you and your career. You're encouraged to apply even if your experience doesn't precisely match the job description. Apprenticeship positions welcome diverse applicants who are looking to grow their career in IT! How does the interview process work? We want to get to know you! Apprenticely will conduct an initial phone interview and knowledge assessment. If your skills and interest match with the employer's needs, we'll share your resume or ask you to apply directly with them. After that, the employers will continue with their recruiting and interview process. If you are a match, an offer will be made for you to get started in your new apprenticeship role! We'll be here to make sure your apprenticeship year goes smoothly and that you are set up for career growth and success! Keep in touch with us on social media Linkedin . Facebook . Instagram ******************** The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: ****************************************

Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most. This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field. Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong. About the position: As the Data Engineer will play a critical role in building and maintaining the technical foundation for our next-generation data platform. This position involves collaborating with our analytics team and backend developers to design, implement, and optimize data pipelines, data warehouse architecture, and integration processes that support analytics excellence. The engineer will work directly with structured and unstructured data sources to enable efficient reporting, analytics, and future machine learning capabilities, with special focus on our upcoming large external dataset integration project. What you'll do: Design, build, and maintain robust data pipelines to process structured and unstructured data from multiple sources Develop and manage comprehensive ETL/ELT workflows across various data systems using Azure-based tools and services Architect and accelerate the development of our data warehouse, focusing on scalable and efficient designs Implement data quality controls, validation processes, and lineage tracking to ensure data integrity Design and optimize data models that enable efficient analytics and reporting capabilities Develop data hygiene processes and identity resolution services for our upcoming large external dataset integration Collaborate with analytics team to translate business requirements into technical data specifications Partner with backend developers to ensure proper data flow between applications and data warehouse Implement and maintain data security measures and access controls to protect sensitive information Monitor data system performance and implement alerting mechanisms for critical data processing workflows Troubleshoot and resolve complex technical issues related to data processing and integration Develop and maintain technical documentation for data models, integration processes, and data dictionaries Optimize data processing performance and scalability to handle growing volumes of data Implement backup, disaster recovery, and data retention policies for critical data systems Research and evaluate new technologies and tools to improve data processing capabilities and efficiency Other duties as assigned You should have: Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field required; advanced degree preferred Experience: 2-5+ years of experience in data engineering with strong proficiency in Python and SQL for data processing and analysis Other Requirements: Extensive experience with Azure data services (Azure SQL, Azure Synapse Analytics, Azure Data Factory) Demonstrated success in data warehouse design, implementation, and optimization Experience with data orchestration and transformation tools such as Azure Data Factory, SSIS, dbt, or similar platforms Strong knowledge of data modeling techniques and dimensional design principles Experience with data quality management, master data concepts, and identity resolution Experience with version control systems (Git) and collaborative software development practices Experience with large-scale data integration projects preferred Strong analytical and troubleshooting skills for complex data issues Ability to work independently while collaborating effectively with cross-functional teams Knowledge of data governance frameworks and best practices preferred Experience in healthcare data domains is a plus Schedule: Monday-Friday 8am-5pm This is an onsite position at our main office in Little Rock, Arkansas, applicants must live within 1 hour drive of the main office in Little Rock. What we offer: We know that health is more than doctor visits and life is more than work. We work hard at Arkana but in turn provide competitive salaries and generous benefit offerings. Specifically, we offer the following benefits to full-time employees: Competitive salary Generous paid time off and Paid Holidays Minimal cost health insurance for you and affordable options for your family 401(k) with immediate eligibility and match Company-paid life insurance Company-paid long term disability coverage Affordable vision and dental plans Flexible Spending Account or Health Savings Account availability Wellness plan and complimentary yoga classes Monthly in-office massages and employer-sponsored lunches Please see Careers for further information.

Job DescriptionDescription: SCA Pharmaceuticals is a dynamic rapidly growing company consisting of passionate individuals who believe in our mission of providing high quality medications that are critical in saving and sustaining human life. SCA Pharma is an FDA 503B outsourcing facility providing customized medications for hospitals and healthcare facilities across the United States. We do this through unyielding quality, safety and integrity, our commitment to accountability and ownership, teamwork and creating better solutions by simplifying the complex. Summary: The Sr Data Engineer is responsible for design, development and support of data warehousing and data management environment supporting various business units. Provides mentorship and support to other junior team members and contract data engineers. Essential functions: Develop automated data pipelines and data stores in Snowflake: including designing, implementing, testing, debugging, and deploying Build metadata driven solutions that are reusable and highly configurable Develop complex SQL queries, stored procedures, and scripts for data manipulation and retrieval. Optimize Snowflake performance through effective data modeling, partitioning, and indexing strategies. Collaborate with data analysts, PowerBI Report Developers and business stakeholders to understand data requirements and deliver precise reporting and analytical solutions. Ensure data integrity and security within the Snowflake environment, complying with industry regulations and standards. Work on an agile team to quickly iterate and release solutions. Provide technical expertise and support for Snowflake to internal teams, including troubleshooting and resolving issues. Stay up to date with Snowflake features and updates, continuously improving and expanding our data warehouse capabilities. Develop and maintain documentation for Snowflake processes, systems, and procedures. Requirements: Required Qualifications & Experience: Proven 8+ years of experience in data warehousing / data lake design, development & support with last 3 years in Snowflake and Azure Data Factory Strong expertise in Strong SQL and SQL query optimization skills Strong knowledge of data warehousing concepts, medallion architecture and best practices. Familiarity with Snowflake's architecture, features, and best practices. Experience with data modeling, ETL development, and data integration techniques. Experience with Azure Data Factory (ADF), Data Bricks and other Azure services. Knowledge of life sciences industry requirements, regulatory requirements, and data security protocols. Proficiency in Python & Snowpark for data processing and automation. Experience working with confluence, JIRA & Github Desired Knowledge, Skills, and Abilities: Experience with Pharmaceutical, Lifesciences and / or Manufacturing Industries. Familiarity with other data integration tools and BI platforms. Knowledge and Working experience of AI/ML Relevant certifications such as Snowflake Snowpro Core Certification Goal oriented, with excellent time management and organizational skills Excellent verbal & written communication skills SCA Pharma is an equal opportunity employer (Minorities/Females/Disabled/Veterans). We recruit, employ, train, compensate, and promote without regard to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, disability, veteran status, or any other basis protected by applicable federal, state or local law.

Sr. Data & Analytics Architect Employment Type: Full-Time Reports To: Chief Technology Officer Industry: Financial Technology (Fintech) - Managed Services YourCode is seeking, on behalf of its client, a Sr. Data & Analytics Architect to bear responsibility for designing, implementing, and supporting scalable data solutions across transactional and analytical systems. This individual will provide technical leadership to cross-functional teams and stakeholders, ensuring the data architecture aligns with both operational and strategic business goals. This role includes data warehouse design, architecture development, analytics implementation, data sourcing, and transformation. The architect will leverage modern data engineering practices and tools to define efficient processes that ensure data systems meet business objectives. About the organization Our client is a well-established software house specializing in managed services for the financial technology (fintech) sector. Their solutions support a growing portfolio of banks, credit unions, and fintech innovators by enabling secure, scalable, and intelligent financial operations. As a primarily Microsoft-based environment, they leverage Azure and other Microsoft technologies to deliver robust, compliant, and future-ready data and analytics solutions. The company was founded by a team of seasoned entrepreneurs who have managed to successfully take the organization from inception to a public listing on the stock exchange - bringing a wealth of experience, vision, and executional excellence to this venture. They are a growth-driven, mission-aligned organization focused on building resilient, client-centered data platforms that power decision-making and innovation across the financial services ecosystem. Key Responsibilities Driving the roadmap for data engineering, business intelligence, advanced analytics, and AI/ML enablement; Designing and maintaining a modern data Lakehouse architecture using tools such as Azure Data Factory, Azure Databricks (Python, SQL), dbt (SQL, Jinja), and Power BI; Developing and optimizing OLTP and OLAP database structures; Promoting adoption of medallion architecture (bronze/silver/gold) and seamless integration between OLTP and OLAP systems; Establishing patterns and standards for data modeling (e.g. Kimball dimensional design) and transactional system design (e.g., SQL Server, DB2); Delivering data and analytics products to both internal and external stakeholders, with a focus on accuracy, performance, and regulatory compliance. Ensuring adherence to data governance policies and standards, including those covering personally identifiable information (PII), PCI DSS, and other compliance frameworks; Building and supporting ETL solutions, using SSIS and/or Azure Data Factory; Designing, developing, and managing conceptual, logical, and physical data models; Reviewing SQL queries for performance and scalability; Managing automated data jobs and metadata repositories; Performing impact analysis of changes to data structures; Qualifications Education & Experience: Bachelor's degree in Computer Science, Engineering, or related field/equivalent professional experience; Minimum of 5 years of hands-on experience in data engineering, analytics, or data platform roles; Skills & Knowledge: Proficiency with Azure Databricks (Python, SQL, Delta Lake, Delta Live Tables), Azure Data Factory; Strong command of dbt (SQL, Jinja) and Power BI for data transformation and reporting; Deep understanding of: OLAP: Dimensional modeling (Kimball); OLTP: Database design in platforms such as SQL Server and DB2; Familiarity with Git/GitHub, CI/CD practices, and Infrastructure as Code (e.g., Terraform); Experience with data security, governance, and compliance (e.g., SPII, PCI DSS, SOC, GDPR), especially in regulated industries; Proven ability to translate data insights into business value; Demonstrated success in platform modernization and data infrastructure scaling; Expertise with MS SQL Server, SSIS, and advanced SQL optimization techniques; Ability to analyze business needs and translate them into functional and technical specifications; Experience working with data lakes, data warehouses, and data migration strategies; Knowledge of mainframe systems and DB2 is a plus; Familiarity with Linux/Unix environments; Strong understanding of ITIL, Agile, SDLC, and DevOps methodologies; Willingness to provide on-call support as part of a rotation; Experience preparing analytics environments for AI/ML workloads and real-time analytics; Ability to enable secure data sharing and third-party integrations; Strong awareness of current data and analytics trends (e.g., real-time analytics, open data formats, AI assistants, compliance tech); Work Environment & Expectations Employees in this role are expected to uphold a high standard of collaboration, respect, integrity, and service in all professional interactions, supporting a culture of empathy and optimism. These values are expected to be demonstrated both internally with team members and externally with partners and clients. Next Steps We understand that top talent moves fast - and so do we. The hiring process is designed to be pragmatic and efficient, with minimal unnecessary steps. If you're interested in the role, we encourage you to apply directly or reach out to YourCode to schedule a quick introductory call. From there, we'll move swiftly to determine alignment and next steps.

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for "Find Jobs for Students". All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page. Closing Date: Type of Position: Professional Staff (Non-Classified) Workstudy Position: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas at Little Rock The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button. If you have a disability and need assistance with the hiring process please contact Human Resources at ************. For general application assistance or if you have questions about a job posting, please contact Human Resources at ************. Department: COSMOS Department's Website: ************************ Summary of Job Duties: The Data Engineer I position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or contract. The position renewal is contingent upon continued grant funding and satisfactory job performance. The Data Engineer I will collect, manage, and convert raw data into usable information for analytics and decision-making. This role requires comprehensive data analysis skills, developing and maintaining datasets, improving data quality and efficiency through leveraging data systems and pipelines, interpreting trends and patterns of data, complex data reports, and building algorithms and prototypes. In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure, classification methods and infrastructure, and visualization dashboards. The Data Engineer I will collaborate with researchers, participate in research projects, and interact with other developers at the COSMOS research center and partner organizations to achieve the best possible performance metrics across various projects. Excellent communication and problem-solving skills are essential for this on-campus position as the data engineer's role is to find opportunities to contribute to cutting-edge research in the exciting field of social computing. This position is governed by state and federal laws, and agency/institution policy. The position reports to: Dr. Nitin Agarwal (******************), Maulden-Entergy Endowed Chair and Distinguished Professor and Director, COSMOS Research Center, UA-Little Rock. Qualifications: Required Education and/or Experience: * The candidate must have a bachelor's degree in Computer Science, Information Science, or a related discipline. Job Duties and Responsibilities: * Collecting and analyzing raw data from various sources including social media platforms; * Organize and maintain datasets; * Improving data quality and efficiency; * Design and manage data pipelines that encompass the journey of data from source to destination systems; * Setup and manage the infrastructure required for ingestion, processing, and storage of data; * Evaluate the model needs and objectives; * Interpret trends and patterns of data; * Conduct complex data analysis and report on results; * Prepare data for analysis and reporting by transforming and cleansing it; * Combine raw information from different sources; * Explore ways to enhance data quality and reliability; * Identify opportunities for data acquisition; * Develop analytical tools and programs; * Collaborate with teams at COSMOS on several projects; * Work on other tasks as asked. Knowledge, Skills, and Abilities: * Basic proficiency level in working with data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques; * Basic proficiency level in working with programming/scripting languages (e.g., Java and Python); * Basic proficiency level in working with data integration platforms and SQL database design; and * Basic proficiency level in working with numerical, analytical, and data security skills. Additional Information: Salary Information: $60,000 Required Documents to Apply: Resume Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Dr. Nitin Agarwal (******************) Maulden-Energy Chair and Donaghey Distinguished Professor Director, COSMOS Research Center All application materials must be uploaded to the University of Arkansas System Career Site ***************************************** Please do not send to listed recruitment contact. Pre-employment Screening Requirements: Criminal Background Check, Sex Offender Registry The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act. Constant Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Frequent Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Occasional Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Benefits Eligible: Yes

**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

Job Description Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most. This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field. Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong. About the position: As the Data Engineer will play a critical role in building and maintaining the technical foundation for our next-generation data platform. This position involves collaborating with our analytics team and backend developers to design, implement, and optimize data pipelines, data warehouse architecture, and integration processes that support analytics excellence. The engineer will work directly with structured and unstructured data sources to enable efficient reporting, analytics, and future machine learning capabilities, with special focus on our upcoming large external dataset integration project. What you'll do: Design, build, and maintain robust data pipelines to process structured and unstructured data from multiple sources Develop and manage comprehensive ETL/ELT workflows across various data systems using Azure-based tools and services Architect and accelerate the development of our data warehouse, focusing on scalable and efficient designs Implement data quality controls, validation processes, and lineage tracking to ensure data integrity Design and optimize data models that enable efficient analytics and reporting capabilities Develop data hygiene processes and identity resolution services for our upcoming large external dataset integration Collaborate with analytics team to translate business requirements into technical data specifications Partner with backend developers to ensure proper data flow between applications and data warehouse Implement and maintain data security measures and access controls to protect sensitive information Monitor data system performance and implement alerting mechanisms for critical data processing workflows Troubleshoot and resolve complex technical issues related to data processing and integration Develop and maintain technical documentation for data models, integration processes, and data dictionaries Optimize data processing performance and scalability to handle growing volumes of data Implement backup, disaster recovery, and data retention policies for critical data systems Research and evaluate new technologies and tools to improve data processing capabilities and efficiency Other duties as assigned You should have: Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field required; advanced degree preferred Experience: 2-5+ years of experience in data engineering with strong proficiency in Python and SQL for data processing and analysis Other Requirements: Extensive experience with Azure data services (Azure SQL, Azure Synapse Analytics, Azure Data Factory) Demonstrated success in data warehouse design, implementation, and optimization Experience with data orchestration and transformation tools such as Azure Data Factory, SSIS, dbt, or similar platforms Strong knowledge of data modeling techniques and dimensional design principles Experience with data quality management, master data concepts, and identity resolution Experience with version control systems (Git) and collaborative software development practices Experience with large-scale data integration projects preferred Strong analytical and troubleshooting skills for complex data issues Ability to work independently while collaborating effectively with cross-functional teams Knowledge of data governance frameworks and best practices preferred Experience in healthcare data domains is a plus Schedule: Monday-Friday 8am-5pm This is an onsite position at our main office in Little Rock, Arkansas, applicants must live within 1 hour drive of the main office in Little Rock. What we offer: We know that health is more than doctor visits and life is more than work. We work hard at Arkana but in turn provide competitive salaries and generous benefit offerings. Specifically, we offer the following benefits to full-time employees: Competitive salary Generous paid time off and Paid Holidays Minimal cost health insurance for you and affordable options for your family 401(k) with immediate eligibility and match Company-paid life insurance Company-paid long term disability coverage Affordable vision and dental plans Flexible Spending Account or Health Savings Account availability Wellness plan and complimentary yoga classes Monthly in-office massages and employer-sponsored lunches Please see Careers for further information.