Data scientist jobs in San Buenaventura, CA - 64 jobs

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. The research/AI fleet is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad decisioning, forecasting, experimentation and Ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy. As a Lead Data Scientist, you will spearhead analytical initiatives that shape the future of advertising technology. You will be responsible for designing and executing data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization. WHAT YOU'LL DO * Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. * Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround. * Define and evaluate key metrics in various product areas. * Deliver data insights and provide data-driven recommendations to cross-team stakeholders. * Design and analyze A/B tests for machine learning algorithm iterations. * Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment. * Mentor team members and support their technical growth. WHAT TO BRING * Bachelor's (MS or PhD preferred) in Computer Science, Software Engineering, or a related field * At least 7 years of relevant industry experience in data science at leading internet companies. Experience in the advertising domain is preferred. * Solid knowledge of data science and statistics. Strong communication skills and business acumen. * Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools. * Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. * Passionate about technology and experienced in building data-driven services and applications. * A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. NICE-TO-HAVES * Experience in digital video advertising or digital marketing domain * Experience with machine learning models. * Experience with Airflow, data warehouse, Databricks or Sagemaker #DISNEYTECH The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

We are looking for a highly skilled and motivated Data Scientist to join our Marketing Analytics team. This role is crucial in leveraging our vast customer, sales, and campaign data to generate actionable insights that optimize marketing spend, personalize customer experiences, and drive profitable. The ideal candidate will have a good understanding of data science and AI techniques applicable in a marketing environment. The ideal candidate will also be able to understand and communicate how the work they do fits into the business context and business goals. Duties and Responsibilities Develop, validate, and maintain a core set of Marketing models, including customer lifetime value, churn prediction and retention modeling, next best offer recommendations, and customer segmentation. Apply advanced analytics, causal inference, experimentation, machine learning and AI techniques for given business problems related to customer behavior and marketing personalization. Support the design, analysis, and interpretation of marketing campaign tests, including A/B tests, controlled experiments, and geo-tests. Proactively perform data exploration on customer behaviors to discover future opportunities. Collaborate with Data Engineering and IT teams to ensure data quality, accessibility, and the implementation of models into production environments. Cultivate strong partnerships with cross-functional stakeholders from marketing, merchandising, and IT Translate complex analytical findings into clear, concise, and compelling narratives for non-technical stakeholders, including marketing leaders and executive teams. Scope Staff supervision and development: No Decision making: Provides data for decision making Travel: Up to 5% Flex Designation: Anywhere

Business Unit: Combination Products Operations - Digital & Data Strategy Employment Type: Contract Duration: 1+ years (with possible extensions) Rate: $52 - $56/hr Posting Date: 1/5/2024. Notes: Only qualified candidates need apply. Onsite 3-4x / week *Must be OK to be onsite weekly and must be local to Thousand Oaks, CA. 3 Key Consulting is hiring! We are recruiting a Data Engineer for a consulting engagement with our direct client, a leading global biotechnology company. Job Description: The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way our client manages and utilizes data to enhance data analysis and decision making within the organization. We are seeking a highly motivated individual who will be primarily responsible for development and lifecycle management of digital modeling assets and analyzing scientific and combination product performance data. This individual will leverage in-silico and data-driven modeling to evaluate potential opportunities that enable changes in business and operation performance. Top Must Have Skill Sets: Simulation, modeling, and data analysis experience Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations Day to Day Responsibilities: The ideal candidate enjoys tackling challenges and excels at enabling insights for decision making using data-driven and physics-based modeling. This may include, but is not limited to, the following: Applying engineering principles to develop in-silico models for combination products Developing, enhancing, automating, and managing analytics and data-driven models Performing ad-hoc analysis and supporting special projects; Providing input to management for trend and failure investigation process improvements Demonstrating modeling and visualization approaches as part of proof-of-concept projects Transforming ambiguous business and technical questions into measurable and impactful projects Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven models for combination products. Basic Qualifications: Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience OR High school diploma / GED and 12 years of experience Experience with model simulation and analysis (MS&A) techniques for structural, fluidic, and heat transfer problems using commercial software such as ANSYS, LS-Dyna, ABAQUS, COMSOL Experience with programming in Python, MATLAB, JMP, and/or Minitab for engineering purposes Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations Familiar with utilizing GitLab for version control, code collaboration, and project management Data analysis expertise and statistical or mechanistic modeling experience Experience in deriving technical recommendations and specifications from the analysis of measured data Strong communication, presentation, and technical documentation skills are a plus, as is knowledge of process controls Understanding business needs and developing novel yet practical solutions to meet those needs Experience with combination products and device regulatory requirements and medical device development and engineering Preferred Qualifications: Passion for proactively identifying opportunities through creative modeling and data analysis Transform ambiguous business and technical questions into measurable and impactful projects Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning) Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise Ability to manage multiple competing priorities simultaneously Ability to work in highly collaborative, cross-functional environments Why is the Position Open? Supplement additional workload on team. Red Flags: Not meeting degree and experience requirements (not meeting basic qualification) No modeling and simulation experience No engineering background Interview Process: One phone and one virtual panel interview. We invite qualified candidates to send your resume to **************************. If you decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our website ******************************* You are also welcome to share this opportunity with anyone you think might be interested in applying for this role. Regards, 3KC Talent Acquisition Team

About the role We are looking for a Data Scientist to support analytics and modeling efforts across the business. This role is ideal for someone early in their data science career who is eager to learn, build strong fundamentals, and apply data to real-world business problems in a fast-growing insurtech environment. You will work closely with engineers, department managers, to analyze data, build models, and help translate insights into actionable recommendations. What you'll do Assist in building, testing, and maintaining statistical and machine learning models under guidance from senior team members Analyze structured datasets to identify trends, anomalies, and opportunities across customer and insurance data Write clean, well-documented SQL queries and Python (or R) code for analysis and reporting Support A/B tests, experiments, and performance analyses Create dashboards, reports, and visualizations to communicate findings to stakeholders Help ensure data accuracy and consistency by performing data validation and quality checks Document assumptions, methodologies, and results for transparency and knowledge sharing • • Collaborate with cross-functional teams to understand business needs and translate them into data questions Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science 0-2 years of professional experience in data science, analytics, or a related role Working knowledge of Python or R for data analysis Excellent SQL skills Understanding of fundamental statistics and introductory machine learning concepts Strong curiosity, problem-solving skills, and willingness to learn Ability to clearly communicate insights with guidance and feedback Preferred Qualifications Experience in insurance, fintech, SaaS Familiarity with common data science libraries Exposure to data visualization tools such as Tableau, Looker, or Power BI Experience working with cloud data platforms or modern data stacks Projects involving experimentation or predictive modeling

Data Scientist II (2ppl) STATUS: Contingency - Announcement of Award Imminent SSC: Active Secret Security Clearance (required) SALARY: Please see labor category posted below SUMMARY: The Naval Surface Warfare Center, Port Hueneme Division (NSWC PHD) is part of the larger Naval Sea Systems Command. The NSWC PHD mission is to provide research, development, test and evaluation, and in-service engineering and logistics support to the U.S. Navy, other military services, and government agencies. Its focus areas include combat systems, unmanned systems, surface ship systems, and information systems. LABOR CATEGORIES: All positions require an Active Secret Clearance and experience in DoD Data Scientist II - $105,872.00 Desired Education: Bachelor's degree in a related technical field. Desired Experience: Three (3) years' experience with software integration or testing, including analyzing and implementing test plans and scripts. Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics. Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives. COMPANY OVERVIEW DEL REY Systems & Technology, Inc. (DEL REY) is a small Veteran-owned defense contractor founded in 1995 and headquartered in San Diego, California. We are an equal opportunity employer and believe in recruiting and developing the very best professionals in the field. Although our corporate office is in California, we have employees supporting our customers from coast-to-coast and many states in-between. For employment consideration, please submit your resume to this posting in MS-Word and let us know the position for which you are applying. DEL REY is proud to offer competitive compensation and a comprehensive benefit package. Employee benefits include both a Traditional 401k and ROTH Retirement Accounts; Medical, Dental, Vision, FSA, Vacation, Sick, Basic Term Life Insurance, Employee Assistance Program and voluntary supplemental insurance. DEL REY complies with applicable Federal civil rights laws and does not discriminate. We welcome all applicants as we are always looking for skilled employees possessing a desire to join and contribute to an employee-focused company committed to sustaining superior customer satisfaction. For employment consideration, please respond to the job board where we have our posting or to our Career Page and reference the position which you are seeking. DISCLAIMER: The information in this job description indicates the general nature of the opportunity. It should not be construed as a complete or final description . *** Time-Sensitive - Apply if interested ***

Job Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries-including financial services, insurance, technology, media, and sports-by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role Join our growing Machine Learning, AI, and Quantitative Research (MAQR) group as a Data Scientist, where you'll be at the heart of our data and analytics transformation. In this role, you'll collaborate closely with cross-functional teams to deliver cutting-edge AI/ML solutions that drive significant business impact, including cost optimization and revenue growth. You'll work in an innovative environment with a startup mindset, building technology solutions that create competitive advantages across our diverse portfolio. Key Responsibilities: Model Development & Implementation Build machine learning models through all phases of development, from problem formulation and design through training, validation, and implementation in a production environment Develop advanced AI solutions including predictive modeling, time series forecasting, optimization, and causal methods Leverage a broad stack of technologies to analyze large volumes of numeric and textual data Research, develop, and implement advanced machine learning and AI techniques for financial applications Strategic Collaboration Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver solutions that align with business objectives Collaborate with business leaders and technical experts to ensure AI/ML initiatives are integrated effectively across business units Translate complex technical concepts into actionable business strategies and tangible outcomes Innovation & Excellence Drive the development of descriptive, predictive, and prescriptive modeling use cases across diverse business challenges across the financial sector including asset management and banking Stay current on state-of-the-art methods and emerging technologies, ensuring our organization remains at the forefront of AI/ML innovation Contribute to AI governance initiatives and champion ethical, responsible use of AI across the organization Requirements Qualifications: Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6+ years of experience in data analytics, OR PhD in a quantitative field plus 3+ years of experience in data science At least 6+ years of experience with Python or similar programming languages for large-scale data analysis At least 4+ years of experience with machine learning model development and deployment Experience with statistical analysis, data science, and model validation techniques Proficiency in interpreting model performance metrics and statistical outputs Strong analytical and problem-solving skills with ability to work with complex, multi-faceted challenges Excellent communication and interpersonal skills to translate technical complexity into business value Ability to thrive in bringing definition to big, undefined problems Customer-first mindset with passion for delivering impactful solutions Preferred qualifications: Experience with cloud technologies (AWS, Azure, GCP) and cloud-native architectures Knowledge of quantitative finance, econometrics, or portfolio optimization Experience with forecasting and causal inference using modern machine learning methods Experience with microservices architecture and high-performance computing systems Experience working with large-scale datasets (billions of records) and real-time data processing Demonstrated ability to write production-level software Experience with Agile development methodologies and cross-functional team collaboration Benefits Position Location This position is located in Santa Monica, CA. Compensation The base pay will for this position is $160,000-$190,000. A bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Title: Senior Data Scientist Location: Hybrid (Westlake Village Corporate HQ) or Remote in any of the following states: IL, CA, WA, MO, AZ, TX, FL, OR, IN, MD, CO, VA) Reports To: Senior Manager, Data Science & Analytics About the Role & Team: At the Guitar Center, our Data Team is evolving. With a unified data platform now in place, our Analytics function is shifting from reporting to intelligence. We are beginning to embed machine learning and AI-driven products that power experiences for both internal and external customers. We are seeking a Senior Data Scientist to establish our Data Science practice within our Snowflake-native architecture. This is a high-visibility role: you will define best practices, partner with business leaders, and deliver solutions that impact millions of musicians across the country. What You'll Do: Partner with business stakeholders (Merchandising, Marketing, Stores, eCommerce) to identify high-impact opportunities where data science can drive value, for example, anomaly detection, pricing optimization, personalization, and forecasting. Define and implement standards and protocols for Data Science workflows to ensure quality, scalability, and reproducibility. Translate business questions into product development frameworks that you'll own end-to-end: discover & design → develop & deploy → measure & iterate. Build and deploy models within our Snowflake environment. Lead feature engineering, model training, validation, deployment, and ongoing monitoring; write efficient, production-grade code; manage version control and CI/CD pipelines through GitLab. Deliver model outputs as consumable data products or endpoints and drive adoption across the business. Monitor and report on model performance and business impact: track KPIs, retrain models as needed, refine features, and communicate insights to senior leadership. Document and promote data science best practices across the organization, shaping how we build, deploy, and maintain predictive capabilities.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. ADVANCED DATA SCIENCE ASSOCIATE CONSULTANT - INTERN ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. Advanced Data Science Associate Consultant (ADS AC) Interns help design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. At the end of the internship, interns are evaluated and considered for a full-time employment offer. What You'll Do * Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner * Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information * Collaborate with ZS stakeholders to effectively integrate and communicate analysis findings * Evaluate and contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform * Owning the development of select assets/accelerators for efficient scaling of capability * Contributing to the thought leadership of the firm by helping them in researching the evolving topics and support publishing them What You'll Bring * PhD degree (in-progress) in Computer Science, Statistics or related discipline, and strong academic performance with analytic and quantitative coursework is required * In lieu of a PhD, a Master's Degree (in-progress) with 3-5 years of relevant post-collegiate work experience * Knowledge of key AI-ML techniques/algorithms/advanced analytics concepts (E.g. Predictive modelling, text mining, recommender systems, social listening, Graph-based-models) * Knowledge of Deep Learning and AI Technologies (e.g. LLMs, Gen AI, Deep Learning and Transformers) * Familiarity with statistical methods (e.g. Bayesian Learning methods, Causal Modeling) and big data (e.g. PySpark) * Proficiency in data manipulation/data wrangling using industry standard tools (e.g SQL, Python-Pandas) * Excellent oral and written communication skills (fluency in English). * Strong attention to detail, with a research-focused mindset. * Excellent critical thinking and problem solving skills. * High motivation, good work ethic and maturity with the ability to adjust to a fast-paced environment. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: ********** #LI-DNI

Career CategoryInformation SystemsJob DescriptionJoin Amgen's Mission of Serving Patients At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do. Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Principal Data ScientistWhat you will do Let's do this. Let's change the world. In this vital role you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science-enabling high-performing classical ML, reinforcement learning-informed approaches, and generative AI systems through well-architected context. This role functions as an “AI Context Architect” (titled as a Data Scientist): a semantic architect who can define domain entities (e.g., payer, provider, patient, product, site, indication) and the relationships between them, so that data + context reliably drive model reasoning, retrieval, and downstream decisions. You will design the semantic foundations that make AI systems accurate, explainable, governable, and performant-partnering with engineering, product, security/compliance, and domain teams across R&D, Manufacturing, and Commercial Roles & Responsibilities Semantic architecture & AI-first context modeling Define enterprise-grade semantic representations for healthcare/life-sciences concepts and specify how relationships and interactions are represented for AI consumption. Create and maintain semantic schemas / ontologies / knowledge-graph models that describe entities, attributes, constraints, and linkages-optimized for both analytics and AI reasoning. Establish context engineering standards: how data is shaped into prompts, tools, memory, retrieval indices, and structured outputs so models behave consistently across use cases. Feature engineering & model performance (core emphasis) Lead feature engineering strategy tied directly to model performance, including feature definition, transformations, leakage prevention, stability monitoring, and explainability. Perform exploratory data analysis on complex, high-dimensional datasets to identify predictive signals and context variables that improve model robustness and generalization. Context-aware ML, GenAI, and reinforcement learning-informed approaches Build and evaluate context-aware ML/GenAI solutions, integrating semantic layers with retrieval, tools, and structured outputs. Apply reinforcement learning concepts (reward modeling, policy optimization intuition, offline evaluation, exploration/exploitation framing) to improve decisioning, ranking, orchestration, and system behavior-without overfitting to short-term metrics. Prototype and benchmark algorithms and approaches (classical ML, deep learning, LLM-based reasoning) and advise on scalability and production readiness. Retrieval, knowledge, and governance foundations Architect and implement retrieval and memory patterns (RAG, vector stores, knowledge graphs, session memory). Define data quality and semantic quality gates (entity completeness, relationship validity, taxonomy drift, grounding coverage) that impact downstream model reliability. Cross-functional leadership Translate domain needs into semantic + AI roadmaps, aligning stakeholders on definitions, metrics, and tradeoffs. Act as a principal-level mentor and technical leader: establish standards, review semantic designs, and guide teams on best practices for context engineering and feature excellence. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications. Basic Qualifications: Doctorate degree and 2 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Master's degree and 4 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Bachelor's degree and 6 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or Associate's degree and 10 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Or High school diploma / GED and 12 years of Data Science, Computer Science, Statistics, Applied Math, or related experience Preferred Qualifications: 10-12+ years applying data science in enterprise environments with demonstrated principal-level influence (or equivalent depth of expertise). Deep expertise in semantic modeling: ontologies, taxonomies, entity resolution, knowledge graphs, metadata and data contracts-built for operational use. Strong understanding of machine learning fundamentals and performance drivers, especially feature engineering and evaluation rigor. Practical experience implementing RAG / retrieval / vector search / knowledge graph solutions with clear governance patterns. Working knowledge of reinforcement learning concepts and how they apply to ranking, orchestration, personalization, or decision systems (even if not “pure RL” production). Proficiency in Python (and strong comfort with modern data/ML stacks); ability to collaborate effectively with engineering teams on production concerns. Exceptional stakeholder management: can drive alignment on, relationships, and metrics, and communicate tradeoffs clearly. Good-to-Have Skills Experience in biotech/pharma and healthcare commercial concepts (payer/provider dynamics, formulary/coverage). Familiarity with agentic/tool-using LLM patterns, prompt management, and structured outputs. Experience with feature stores, ML observability, and robust evaluation tooling. Publications, conference talks, or thought leadership in semantic AI / knowledge systems / enterprise GenAI. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. Certifications Cloud/AI certifications (AWS/Azure/GCP) are a plus. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team.careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. . Salary Range 163,136.00 USD - 214,390.00 USD

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Title: Operations Research Analyst Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. Why Join Us? * Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. * Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. * Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how data analysis is performed across the entire Department of Defense Key Responsibilities: The successful candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on BD and KM systems supporting DoD Test Ranges and various acquisition programs. * Data Driven Analysis: Candidate will support our customers with insights gained from analyzing DoD Test & Evaluation data. Responsible for enabling the development of data-driven decision analysis products through the innovative application, and promotion, of novel methods from data science, machine learning, and operations research to provide robust and flexible testing and evaluation capabilities to support DoD modernization. Candidates should have a passion for discovering insights hidden in large data sets and working with stakeholders to improve business outcomes through the delivery of high-quality products. * Data Mining: Must have strong experience using a variety of data mining and data analysis methods, accessing data stored in a variety of data storage paradigms, developing models using common statistical and machine learning modeling approaches, using and creating custom algorithms, implementing analysis workflows in Python or R, and writing reports and documentation. * Analytic Experience: Responsible for providing analytic consulting services, supporting analytic workflow and product development and testing, promoting the user adoption of methods and best practices from data science, conducting applied methods projects, and supporting the creation of analysis-ready data. The candidate should be skilled at identifying opportunities for process or workflow optimization. * Customer-Facing Experience: Candidate will be the face of the CHEETAS Team and will be responsible for ensuring stakeholders have the analytical tools, data products and reports they need to make insightful recommendations based on your data driven analysis. * Stakeholder Assistance: The ideal candidate is adept at collaborating with technical and non-technical stakeholders to identify analytic requirements and analysis questions that can be informed through the aggregation and analysis of large data sets collected during test events or exercises. * Communication: Proven ability to drive decisions through successful communication, in written or presented form, of their data-based insights. Must have the ability to effectively communicate at both a programmatic and technical level. * Technical Support: The successful candidate will have extensive technical expertise in methods from operations research and experience working on Department of Defense problems. The candidate will have reach-back support from the software engineering, data science and system administration teams. While onsite, candidate will be responsible for running and operating CHEETAS (and other tools); demonstrating these tools to stakeholders & VIPs; conveying analysis results; adapting internally-developed tools, notebooks and reports to meet emerging needs; gathering use cases, requirements, gaps and needs from stakeholders and for larger development items providing that information as feature requests or bug reports to the CHEETAS development team; and performing impromptu hands-on training sessions with end users and potentially troubleshooting problems from within closed networks without internet access (with support from distributed team members). * Independent Work: Successful candidates must be self-motivated and capable of working independently with little supervision / direct tasking. The candidate should have experience using a variety of methods and models to test the effectiveness of different courses of action. Work Environment: * Location: Onsite * Travel Requirements: This position will require travel of 25% with potential surge to 50% to support end users located at various DoD ranges & labs located across the US (including Alaska and Hawaii). When not supporting a site, this position can work remotely or from a nearby KBR office (if available and desired). * Working Hours: Standard, although you potentially may be the only team member physically on-site providing support, you will not be alone. Basic Qualifications: * Security Clearance: Active TS/SCI clearance * Education: An advanced degree in operations research, engineering, applied math, statistics, computer science or information technology with preferred 10+ years of experience within DoD. * DOD Specific Experience: Candidates with 5-10 years of DoD experience will be considered on a case-by-case basis. * Experience: Previous experience should include working with end users, gathering requirements and refining/operating data analysis tools or products to meet user needs. Previous experience should include developing and interpreting the results of analytic products with DoD specific data types. Qualifications Required: * Experience using scripting languages (Python and R) to process, analyze and visualize data. * Experience using notebooks (Jupyter Notebooks and RMarkdown) to create reproducible and explainable products. * Experience using interactive visualization tools (RShiny, py Shiny, Dash) to create interactive analytics. * Experience generating and presenting reports, visualizations and findings to customers. * Experience using analysis methods, including supervised and unsupervised methods, to work with time series and geospatial data. * Experience working with Windows, Linux, and containers. * Experience querying databases using SQL. * Ability to make insightful recommendations based on data driven analysis and customer interactions. * Ability to effectively communicate both orally and in writing with customers and teammates. * Ability to speak and present findings in front of large groups. * Ability to document and repeat procedures. * Ability to train novice end users on the use of tools. * Should be self-motivated to design, develop, enhance, reengineer or integrate software applications to improve the quality of data outputs available for end users. Preferred Qualifications: * 10+ years of DOD experience * Experience as a military ORSA. * Experience working in government / defense labs and within their computing restrictions. * Knowledge of military force structure and/or tactical messaging. * Experience working with major DoD experimentation events, such as Joint All-Domain Command and Control (JADC2) events. * Experience working with major DoD acquisition programs, such as Joint Strike Fighter (JSF). * Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training. * Knowledge of DoD cybersecurity policies. Scheduled Weekly Hours: 40 Basic Compensation: $126,500 - $189,800 The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity. Additional Compensation: KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance. Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together. KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Client = Nationally Recognized Leader in the Travel & Leisure Industry Job Title = Data Engineer (mid and senior level candidates being considered) Requirements Top Requirements -- Minimum of 6 years of professional experience as a data engineer -- CRM-intensive data position (open to any CRM - Salesforce, Dynamics, HubSpot, Netsuite etc.) -- Familiarity with CRM link integrations and data integrations. -- Azure Databricks (ML Flow, model serving) preferred -- Synapse Analytics & Pipelines -- Strong skills in Python/Spark SQL -- Experience with PowerBI -- Experience with real time data pipelines (kafka, event hubs, spark streaming) is a plus Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .

About Us At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden-empowering solo and small group practitioners to thrive alongside their clients. Recognized by MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and the Digital Health Awards in 2023, SimplePractice is proud to pave the future of health tech. Our Culture At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day: We think big We take simplicity seriously We come as we are We act with humility We are built on trust Culture is everyone's responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers. Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico. The Role We're looking for a Senior Data Engineer to help lead the evolution of our data stack-from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights-from no-show trends to client engagement-you'll give practitioners the tools to make smarter, faster decisions about how they manage care. Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You'll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice. Responsibilities Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons Work with analytics to create company wide alignment through standardized metrics across the company Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product Manage the complete data stack from ingestion through data consumption Build tools to increase transparency in reporting company wide business outcomes Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice Desired Skills & Experience Education & Experience BS/MS in Engineering, Computer Science, Mathematics, or related field 7+ years in Data or Analytics Engineering Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments Data Engineering & Pipelines Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling) Expert in SQL and data modeling (relational, dimensional, semantic) Proven experience in data warehouse design, implementation, and maintenance (Snowflake) Hands-on with DBT for modular, testable transformations Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka Familiar with ELT, schema-on-read, DAGs, and performance optimization Cloud & Infrastructure Experience with AWS (S3, RDS, Redshift, etc.) Familiar with Terraform, Docker, and containerized workflows (bonus) Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC) Analytics & Enablement Experience building and supporting semantic layers for self-serve analytics Proficient with BI tools like Looker, Tableau, or Sisense Comfortable standardizing metrics and enabling trusted, consistent access to data Programming & Scripting Proficient in Python and Unix/Linux scripting Comfortable working with APIs (e.g., using curl) Bonus Points AWS DevOps - Terraform, Kubernetes, Docker Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries Real-time ETL - Kafka streaming, AWS Kinesis Base Compensation Range $146,500 - $179,000 Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay. The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we'll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors. Benefits We offer a competitive benefits program including: Medical, dental, vision, life & disability insurance 401(k) plan with company match Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays Mental health resources Paid parental leave & Backup Care Tuition reimbursement Employee Resource Groups (ERGs) California Job Applicant Privacy Notice Thank you for your interest in opportunities at SimplePractice LLC ("SimplePractice" or "us" or "we" or "our"). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. For more information about our privacy practices, please contact us at privacy@simplepractice.com.

MetroSys is seeking an experienced Data Engineer with a strong background in Python and Microsoft Azure environments. The ideal candidate will have at least 5 years of experience in building and optimizing data pipelines, managing data storage solutions, and integrating systems through APIs. This role will focus on developing robust data pipelines and warehouse solutions to support enterprise-level data initiatives. Key Responsibilities Design, develop, and maintain scalable data pipelines to support analytics, reporting, and operational workloads. Build and optimize data storage solutions in Microsoft Azure, including Azure Data Lake and related services. Integrate third-party and internal systems using APIs for data ingestion and synchronization. Collaborate with data architects, analysts, and business stakeholders to ensure data solutions meet requirements. Implement best practices for data governance, quality, and security across the pipeline lifecycle. Monitor, troubleshoot, and improve pipeline performance and reliability. Qualifications 5+ years of hands-on experience as a Data Engineer or similar role. Strong proficiency with Python for data manipulation, automation, and pipeline development. Proven experience in Microsoft Azure data services (Azure Data Factory, Data Lake, Synapse, SQL Database). Solid understanding of data warehouse concepts and storage optimization techniques. Experience designing and consuming APIs for system integration. Strong problem-solving skills and ability to work independently in a remote environment. Preferred Skills: Knowledge of cloud security practices and compliance requirements. Familiarity with CI/CD pipelines for data workflows. Experience with large-scale enterprise data projects.

Our Mission: Make healthcare #1 in customer service. What We Deliver: Artera, a SaaS leader in digital health, transforms patient experience with AI-powered virtual agents (voice and text) for every step of the patient journey. Trusted by 1,000+ provider organizations - including specialty groups, FQHCs, large IDNs and federal agencies - engaging 100 million patients annually. Artera's virtual agents support front desk staff to improve patient access including self-scheduling, intake, forms, billing and more. Whether augmenting a team or unleashing a fully autonomous digital workforce, Artera offers multiple virtual agent options to meet healthcare organizations where they are in their AI journey. Artera helps support 2B communications in 109 languages across voice, text and web. A decade of healthcare expertise, powered by AI. Our Impact: Trusted by 1,000+ provider organizations - including specialty groups, FQHCs, large IDNs and federal agencies - engaging 100 million patients annually. Hear from our CEO, Guillaume de Zwirek, about why we are standing at the edge of the biggest technological shift in healthcare's history! Our award-winning culture: Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024, 2025); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025, 2026). Artera has also been recognized by Forbes as one of “America's Best Startup Employers,” Newsweek as one of the “World's Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider. SUMMARY We are seeking a highly skilled and motivated Staff Data Engineer to join our team at Artera. This role is critical to maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes. Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, while also taking the lead on investigating and implementing solutions to enhance our data infrastructure. RESPONSIBILITES Continuous Enhancement: Maintain and elevate Artera's data infrastructure, ensuring peak performance and dependability. Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow. Troubleshooting: Manage the daily operations of the Artera platform, swiftly identifying and resolving data-related challenges. Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes. Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies. Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level agreements. Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions. Proactiveness: Improves stability and performance of architecture for team implementations. Requirements Bachelor's Degree in STEM preferred *additional experience is also accepted in lieu of a degree Proven experience with Kubernetes and Cloud infrastructure (AWS preferred) Strong proficiency in Python and SQL for data processing and automation. Expertise in orchestration tools such as Airflow and Docker. Understanding of performance optimization and cost-effectiveness in Snowflake. Ability to work effectively in a collaborative, cross-functional environment. Strong problem-solving skills with a proactive and solution-oriented mindset. Experience with event sourced and microservice architecture Experienced working with asynchronous requests in large scale applications Commitment to testing best practices Experience in Large-scale data architecture Demonstrated ability to build and maintain complex data pipelines and data flows. Bonus Experience Knowledge of DBT & Meltano The compensation for this role will be based on level of experience and the geographic tier in which you are located. This position also comes with equity and a variety of benefits.Security RequirementsThis engineering role contributes to a secure, federally compliant platform. Candidates must be eligible for a government background check and operate within strict code management, access, and documentation standards. Security-conscious development and participation in compliance practices are core to the role. OUR APPROACH TO WORK LOCATIONArtera has hybrid office locations in Santa Barbara, CA, and Philadelphia (Wayne), PA, where team members typically come in three days a week. Specific frequency can vary depending on your team's needs, manager expectations and/or role responsibilities. In addition to our U.S. office locations, we are intentionally building geographically concentrated teams in several key metropolitan areas, which we call our “Hiring Hubs.” We are currently hiring remote candidates located within the following hiring hubs:- Boston Metro Area, MA- Chicago Metro Area, IL- Denver Metro Area, CO- Kansas City Metro Area (KS/MO)- Los Angeles Metro Area, CA- San Francisco / Bay Area, CA- Seattle Metro Area, WA This hub-based model helps us cultivate strong local connections and team cohesion, even in a distributed environment. To be eligible for employment at Artera, candidates must reside in one of our hybrid office cities or one of the designated hiring hubs. Specific roles may call out location preferences when relevant. As our hubs grow, we may establish local offices to further enhance in-person connection and collaboration. While there are no current plans in place, should an office open in your area, we anticipate implementing a hybrid model. Any future attendance expectations would be developed thoughtfully, considering factors like typical commute times and access to public transit, to ensure they are fair and practical for the local team. WORKING AT ARTERA Company benefits - Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more! Career development - Manager development cohorts, employee development funds Generous time off - Company holidays, Winter & Summer break, and flexible time off Employee Resource Groups (ERGs) - We believe that everyone should belong at their workplace. Our ERGs are available for identifying employees or allies to join. EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENTArtera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Artera are based on strategic business needs, job requirements and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics or any other protected status. Artera is committed to providing employees with a work environment free of discrimination and harassment; Artera will not tolerate discrimination or harassment of any kind. Artera provides reasonable accommodations for applicants and employees in compliance with state and federal laws. If you need an accommodation, please reach out to ************. DATA PRIVACYArtera values your privacy. By submitting your application, you consent to the processing of your personal information provided in conjunction with your application. For more information please refer to our Privacy Policy. SECURITY REQUIREMENTSAll employees are responsible for protecting the confidentiality, integrity, and availability of the organization's systems and data, including safeguarding Artera's sensitive information such as, Personal identifiable Information (PII) and Protected Health Information (PHI). Those with specific security or privacy responsibilities must ensure compliance with organizational policies, regulatory requirements, and applicable standards and frameworks by implementing safeguards, monitoring for threats, reporting incidents, and addressing data handling risks or breaches. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our small data science team is changing the way healthcare decisions are made. We're taking advantage of new technologies and the latest in statistics and machine learning to rapidly analyze new kinds of healthcare data. We have one-of-a-kind access to health and behavior datasets, and we're using it to change the world for the better. Our distributed data processing and analysis pipeline is built on top of technologies like Spark, Hadoop, Elasticsearch, Python, and Scala, and we need brilliant engineers to help us scale it and adapt it to new challenges. This is the perfect job if you have a software engineering background and want to get involved in healthcare and big data engineering. We have offices in Menlo Park, CA and Santa Barbara, CA and a Surf Air membership so you can rove between the offices. This position is in Santa Barbara, CA. Job Description Responsibilities: Own our data ETL pipelines Investigate, prototype, and validate new analytics systems Optimize our analytics systems for performance, cost, and availability Design and implement new data analytics systems using top-notch software engineering practices Work closely with our Data Scientists to deliver dashboards, insights, and data pipelines to clients Qualifications Requirements: Background in quantitative fields (Computer Science, Engineering, Math, Physics) You're a strong analytical thinker and coder. Think ACM-ICPC, IOI, and IPSC. You're a great software engineer who writes modular, extensible, well-designed systems. You have solid experience with Python and SQL. You value learning, personal growth, teamwork, and excelling at what you do. Additional Information All your information will be kept confidential according to EEO guidelines.

What we're looking for: As a member of the Data Platform Engineering team, the Real-Time Data Engineer II will work collaboratively to develop an infrastructure that ingests data from disparate sources, processes them real-time and routes them to various target storages and applications, while providing access to high quality data to users, ranging from application developers interested in specific events to data analysts keen on business intelligence to data scientists training ML models. At AppFolio, we paddle as one. We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today - and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport. Your impact: * Design, build and operate on next generation data pipeline infrastructure based on Apache Kafka and its ecosystem * Improve data architecture, quality, discoverability and access policies to enable and enforce data governance * Collaborate with engineers, data analysts and scientists to ensure that our data infrastructure meets the SLOs of our data-intensive customers * Develop techniques for monitoring the completeness, correctness and reliability of our data sets * Leverage agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace * Research, share, and recommend new technologies and trends Qualifications * You have hands-on experience with using Apache Kafka in production and have a passion for building a reliable, scalable and fault-tolerant infrastructure. * You have industry experience with working with real time transformation technologies such as Apache Flink * You have worked with a variety of data sources, including change data capture systems, data streaming and event sourcing in production. * You have hands-on experience with data warehouse technology. * You embrace the platform-first approach to build standard solutions and self-serve capabilities for engineering teams * You want to work with a high degree of autonomy, while at the same time working on initiatives of high importance to the company. * You care about work-life balance and want your company to care about it too; you'll put in the extra hour when needed but won't let it become a habit. Must have * 3+ years of experience with Apache Kafka, Kafka Connect and its ecosystem * 2+ years of experience in streaming processing technologies, such as Apache Flink * 2+ years of experience with AWS primitives (IAM, VPC, S3, MSK, EKS, etc.) * 3+ years of experience working with programming languages like Python or Ruby * Excellent SQL skills with working knowledge of query optimization * 2+ years of experience working with Infrastructure as Code, configuration management, and monitoring tools. * Bachelors in Computer Science or other quantitative fields. Nice to have * Experience with Debezium connectors * Experience with large scale Data Lakes and Lake Houses, especially with Apache Iceberg is a plus * Experience with distributed SQL query engines, such as Trino is a plus * Experience with containers and container orchestration tools. Docker and Kubernetes experience is desirable. * Data science skills for analyzing data and communicating with ML engineers are a plus. Compensation & Benefits The base salary/hourly wage that we reasonably expect to pay for this role is: $104,000 to $130,000. The actual base salary/hourly wage for this role will be determined by a variety of factors, including but not limited to: the candidate's skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type. Regular full-time employees are eligible for benefits - see here. #LI-KB1 About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio. By submitting this form, I acknowledge I have reviewed AppFolio's Privacy Policy.

This recruitment is open until filled. Early submissions are encouraged as applications will be reviewed on a regular and ongoing basis. The City of Oxnard is seeking a skilled and proactive Data Engineer to support our modernization efforts and optimize data workflows across our 300+ applications. This role will be responsible for designing, developing, and maintaining ETL pipelines, data transformations, and legacy systems integrations to ensure seamless data flow between city systems and third-party vendors. You will work closely with integration specialists, database administrators, and business stakeholders to enhance accessibility, reporting, and usability of critical data. This role is essential in monitoring and maintaining the data health of the city and aiding decision making through analysis and visualization. Therefore, the ideal candidate will have experience in BI and working with stakeholders to create dashboards and reports. WHAT YOU'LL DO: * Maintain disparate datasets through ETL pipelines, improve data accessibility, ensure data integrity, and drive and enforce security compliance. * Prepare strategies for modernizing legacy systems through database migrations or hybrid integrations. * Collaborate with database administrators and integration specialists to streamline workflows and optimize performance. * Work with system administrators to ensure data security and access control best practices. * Support BI initiatives by structuring data and building dashboards for analysts. * Help train and support business users to use BI tools effectively. * Maintain technical documentation for data flows, integrations, and system dependencies. * Analyze data trends, discrepancies, and vendor requests to guide informed decisions. * Participate in evaluating and recommending software tools and platforms for data work. Payroll Title/Classification: Business Systems Analyst, Senior WORK SCHEDULE: The normal work week is Monday through Friday 8:00 am-6:00 pm with every other Friday off. This position may be required to be on an on-call (stand-by) rotation and you may be required to be available to work additional hours as needed to respond to workload needs. The City does not offer hybrid or remote work. Please note: The Information Technology Department supports public safety personnel including the Police Department on a 24-hour, 7-day-per-week schedule, therefore, the candidate may be required to be on call on a rotating basis, subject to callback. As part of the selection process, applicants will be required to successfully complete a thorough background investigation, which may include a polygraph exam.This class specification represents only the core areas of responsibilities; specific position assignments will vary depending on the needs of the Department. * Design, build, and maintain ETL pipelines to support data exchange between systems. * Ensure data consistency, integrity, and compliance with governance regulations such as CJIS. * Develop integration solutions using APIs, web services, and direct database connections. * Optimize and transform legacy and modern data for use across applications. * Collaborate with technical teams to structure and optimize databases for accessibility. * Implement observability mechanisms to ensure critical data workflows and integrations are traceable, auditable, and monitored for failures or anomalies. * Perform root cause analysis of data errors, failures, and bottlenecks. * Write documentation for databases, workflows, custom integrations, and reports. * Conduct unit and integration testing for pipelines and transformations. * Research, evaluate, and recommend software tools, platforms, and third-party solutions to meet business and technical requirements. * Work closely with business leaders, analysts, and department heads to gather requirements and ensure BI solutions align with business objectives. * Build dashboards and interactive reports, empowering end-users to access and explore data independently. * Work cross-functionally with stakeholders and non-technical business users. * Other assigned duties as the role may require. The following are the minimum qualifications necessary for entry into the classification: Education: * Bachelor's degree in Computer Science, Business Administration, Information Technology, or a related field. Experience: * Minimum of 5 years of hands-on experience in Data Engineering, Integration Engineering, Data Analysis, or a similar field. * Proven experience with custom reporting, dashboards, or BI tools (Power BI, Tableau, Qlik, or similar). * Strong proficiency in SQL, Python, or other scripting/ETL languages. * Strong understanding of database systems (MS SQL Server, MySQL, or similar) including database design and optimization. * Hands-on experience with ETL processes and tools (SSIS, Talend, Apache Airflow, or similar). * Knowledge of data modeling, warehousing, and integration protocols (APIs, SFTP, message queues, XML/JSON data exchanges). Highly Desirable Experience, Qualifications and/or Certifications: * Local government or public sector experience especially public safety (police and fire). * Experience with version control systems (e.g., Git or TFS) and collaborative development workflows (e.g., GitFlow). * Previous experience in a hybrid role combining technical and business analysis responsibilities. * Knowledge of cloud-based data storage and processing (AWS, Azure, etc.). Licensing/Certifications: * Valid CA Class C Driver's License Other Requirements: * Must be able to speak and understand English to effectively communicate with fellow employees, customers, and vendors. APPLICATION PROCESS: * Submit NEOGOV/Government Jobs on-line application. * Complete and submit responses to the supplemental questions, if required. * Upload resume, cover letter, proof of degree (transcript), or other requested documents. Your application may be rejected as incomplete if you do not include the relevant information in the online application and include the information only on the resume. Applications and/or Supplemental Questionnaires that state "see my resume" or "see my personnel file" are considered incomplete and will not be accepted. Cover letters and/or optional resumes are not accepted in lieu of a completed application. The list of qualified candidates established from this recruitment may be used to fill other full-time, part-time, and temporary assignments. There is currently one (1) full-time vacancy within the Information Technology Department. Selected candidate(s) must pass a thorough background investigation. UNION MEMBERSHIP: Positions in this classification are represented by the Oxnard Mid Manager's Association (OMMA). NOTE: For most positions, the City of Oxnard relies on office automation (Microsoft Office/Google) and web-based enabled tools, therefore candidates must be proficient and comfortable with computer use to perform functions associated with on-going work. Regular and reliable attendance, effective communication skills, and development of effective working relationships are requirements of all positions. Employees are required to participate in the City's direct deposit plan and are paid on a bi-weekly basis. This position requires a 12 month probationary period. Pursuant to California Government Code Section 3100, all public employees are required to serve as disaster service workers subject to such disaster service activities as may be assigned to them. EQUAL OPPORTUNITY: The City of Oxnard is an Equal Opportunity Employer and welcomes applications from all qualified applicants. We do not discriminate on the basis of race, color, religion, sex, national origin, age, marital status, medical condition, disability or sexual orientation. REASONABLE ACCOMMODATION: The City of Oxnard makes reasonable accommodation for individuals/people with disabilities. If you believe you require special arrangements to participate in the testing process, you must inform the Human Resources Department in writing no later than the filing date. Applicants who request such accommodation must document their request with an explanation of the type and extent of accommodation required. LEGAL REQUIREMENT: On the first day of employment, new employees must provide proof of citizenship or documentation of legal right to work in the United States in compliance with the Immigration Reform and Control Act of 1986, as amended. The City participates in E-Verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E-Verify, please contact DHS. ************ dhs.gov/e-verify If you have any questions regarding this recruitment, please contact Ashley Costello at **************************. NOTE: The provisions of this bulletin do not constitute an expressed or implied contract. Any provision contained in this bulletin may be modified or revoked without notice.

PENNYMAC Pennymac (NYSE: PFSI) is a specialty financial services firm with a comprehensive mortgage platform and integrated business focused on the production and servicing of U. S. mortgage loans and the management of investments related to the U. S. mortgage market. At Pennymac, our people are the foundation of our success and at the heart of our dynamic work culture. Together, we work towards a unified goal of helping millions of Americans achieve aspirations of homeownership through the complete mortgage journey. A Typical Day The Sr Data Platform Engineer - Snowflake Specialist leads the design, optimization, and management of our enterprise data warehouse infrastructure, with a primary focus on advanced Snowflake implementations. This role supports critical business functions through sophisticated data platform development, including data operations and ensuring scalable and performant data solutions across the organization. The Sr Data Platform Engineer - Snowflake Specialist will: Advanced Snowflake Expertise - Architect, optimize, and manage complex Snowflake environments including warehouses, data sharing, streams, tasks, and performance tuning Expert Snowflake Development - Design and implement advanced features including stored procedures, UDFs, dynamic SQL, zero-copy cloning, and time travel capabilities Data Warehouse Architecture - Lead enterprise data modeling, dimensional modeling, and modern data warehouse design patterns in Snowflake Strong proficiency with Python 3, Object-Oriented Programming & Design Patterns for data pipeline development Experience with Python data frameworks (e. g. , Pandas, SQLAlchemy, Apache Airflow) and APIs (FastAPI, Flask) Solid experience with Amazon Web Services (AWS) and serverless technologies for data integration Strong experience with advanced SQL, query optimization, and database performance tuning Experience with REST APIs and data integration patterns Experience with Git and collaborative development workflows Experience with comprehensive testing strategies including unit and integration testing Experience with event-driven architectures and microservices in data contexts Experience with Infrastructure as Code (CloudFormation, CDK, Terraform) Knowledge of DataOps practices (CI/CD for data pipelines, automated testing) Knowledge of Agile, Scrum, Jira methodologies What You'll Bring Degree in Computer Science, Data Engineering, Engineering, or similar technical major 5+ years of software development experience with 3+ years of advanced Snowflake experience Expert-level Snowflake skills including performance optimization, cost management, and enterprise-scale implementations Deep understanding of data warehousing concepts, ETL/ELT patterns, and modern data architecture principles Extensive experience with databases at enterprise scale, including both SQL and NoSQL technologies Demonstrated ability to master advanced data platform technologies suchs as real-time streaming, data orchestration, data governance, security, monitoring, or performance optimization Proven track record of architecting and implementing business-critical data solutions that improve stability, security, performance, and scalability Demonstrated ability to effectively communicate complex data architecture concepts to engineers, product owners, project managers, and business stakeholders Demonstrated experience in multi-team collaboration and agile development practices, particularly in data-focused environments Ability to collaborate across teams and design data systems that address architectural gaps and scalability challenges Preferred: Financial Services and mortgage industry experience, particularly with regulatory reporting and risk management data requirements Why You Should Join As one of the top mortgage lenders in the country, Pennymac has helped over 4 million lifetime homeowners achieve and sustain their aspirations of home. Our vision is to be the most trusted partner for home. Together, 4,000 Pennymac team members across the country are guided by our core values: to be Accountable, Reliable and Ethical in all that we do. Pennymac is committed to conducting a business that makes positive contributions and promotes long-term sustainable growth and to fostering an equitable and inclusive environment, where all employees and customers feel valued, respected and supported. Benefits That Bring It Home: Whether you're looking for flexible benefits for today, setting up short-term goals for tomorrow, or planning for long-term success and retirement, Pennymac's benefits have you covered. Some key benefits include: Comprehensive Medical, Dental, and Vision Paid Time Off Programs including vacation, holidays, illness, and parental leave Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations) Retirement benefits, life insurance, 401k match, and tuition reimbursement Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships To learn more about our benefits visit: ********************* page. link/benefits For residents with state required benefit information, additional information can be found at: ************ pennymac. com/additional-benefits-information Compensation: Individual salary may vary based on multiple factors including specific role, geographic location / market data, and skills and experience as defined below: Lower in range - Building skills and experience in the role Mid-range - Experience and skills align with proficiency in the role Higher in range - Experience and skills add value above typical requirements of the role Some roles may be eligible for performance-based compensation and/or stock-based incentives awarded to employees based on company and individual performance. Salary $90,000 - $150,000 Work Model OFFICE