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

Job Description: AssetMark is a leading strategic provider of innovative investment and consulting solutions serving independent financial advisors. We provide investment, relationship, and practice management solutions that advisors use in helping clients achieve wealth, independence, and purpose. The Director of Data Engineering & Platform Strategy is a high-impact leadership role that bridges technical execution, architectural vision, and business strategy. This individual will serve as a hands-on technical leader responsible for the end-to-end delivery and operational health of AssetMark’s data platform. The role includes direct management of data engineering teams and critical oversight of data governance, security, and the enablement of advanced analytics and AI/ML capabilities. We can consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office. Key Responsibilities I. Architecture & Strategic Leadership Define and Own Data Architecture: Define and drive the multi-year technical roadmap and architecture for AssetMark’s enterprise data platform (Data Lakehouse, Data Warehouse, and Operational Data Stores). Ensure all data solutions are scalable, secure, resilient, and align with the enterprise vision (e.g., graph.assetmark.com concepts). Technical Authority & RFCs: Serve as the final technical authority on data architecture decisions. Lead and author strategic RFCs (Request for Comments) and architectural design reviews (ADRs), ensuring robust, future-proof designs across all data domains. Build vs. Buy Decisions: Lead the evaluation, selection, and implementation of new data technologies, frameworks (e.g., dbt, data observability tools, vector databases), and vendor solutions, balancing technical fit with financial cost-effectiveness. Pioneer AI/ML Data Enablement: Architect and implement data pipelines and infrastructure that specifically support data science and AI/ML model training, feature engineering, and inference serving, maintaining strong data governance throughout the lifecycle. II. Hands-On Delivery & Operational Excellence Engineering Oversight: Maintain a hands-on role in core design and code reviews , ensuring technical excellence, adherence to coding standards, and best practices across the engineering teams. Delivery Management: Oversee the successful, on-time delivery of complex, cross-functional data programs (e.g., major migrations, new product data foundations). Drive agile execution, project planning, and resource alignment for maximum efficiency. Governance Implementation: Translate data governance principles (data quality, lineage, classification) into automated, enforceable engineering practices within the CI/CD pipeline. Ensure compliance with financial industry regulations (e.g., PII handling, audit trails). Operational Health: Own the operational reliability, performance monitoring (SLAs/SLOs), and cost management of the data platform. Champion DevOps and Site Reliability Engineering (SRE) practices for data services. III. Stakeholder Management & Team Development Cross-Functional Collaboration: Act as the primary liaison and technical partner, collaborating closely with Product Managers to define requirements, Software Engineering teams to ensure data service interoperability, and Senior Business Stakeholders to align data initiatives with commercial priorities. Partner Management: Manage strategic relationships with critical external vendors, technology partners, and data providers (e.g., custodians, cloud vendors), ensuring favorable contracts and optimizing data acquisition strategies. Talent & Mentorship: Build, mentor, and lead a high-performing team of data engineers and architects, fostering a culture of ownership, technical rigor, and continuous learning. Guide career development and succession planning within the data engineering function. Required Qualifications Experience: 10+ years of progressive experience in Data Engineering, Software Architecture, or Technology Leadership, with at least 3+ years in a people management or dedicated technical leadership role. Hands-on Depth: Proven ability to remain hands-on in design and code architecture reviews. Deep expertise in Python, SQL, and distributed data processing (e.g., Spark/Databricks) . Platform Expertise: Expert-level knowledge of modern cloud data platforms, including Snowflake, Azure Synapse, and/or Azure Fabric . Financial Domain: Strong preference for experience within the Financial Services, Wealth Management, or FinTech domain, including familiarity with concepts like custodial data, trade processing, and regulatory reporting. Leadership: Demonstrated success in setting coding standards, leading technical design reviews, and driving technical consensus across multiple development teams. Compensation: The Base Salary range for this position is between $215,000-$240,000. This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits. Candidates must be legally authorized to work in the US to be considered. #LI-hybrid #LI-TN1 Who We Are & What We Offer: We are AssetMark, a company on the move, shaping the future of financial services. Growth is in our DNA. Every day, we combine technology, insight, and collaboration to create new possibilities for advisors, for our people and for our investors. At AssetMark your ideas matter; they’re heard, valued, and drive meaningful change. Join a team that sets new standards and creates space for you to thrive and do your best work. Our Mission Our mission is simple: to help our 10,500+ financial advisors make a meaningful difference in their clients’ lives. We do this by combining powerful technology, holistic support, and expert consulting to help advisors run stronger, more efficient businesses. Backed by a comprehensive suite of investment solutions and a trust company that boasts of $150B+ AUM, our platform empowers advisors to deliver exceptional service and an outstanding client experience. Our Values Heart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day. We believe in: Leading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities. Obsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships. Unyielding Integrity, doing what’s right, always. Even when it’s hard. Collective Respect, in being authentic, inclusive and valuing all voices while winning together. Operating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions. These values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family. Our Culture & Benefits Our culture brings our mission and values to life. Here, we do what’s right, embrace diverse ideas, and innovate together. We also offer a wide range of benefits to support you and your family—because thriving at work starts with thriving in life. Flex Time or Paid Time Off and Sick Time Off 401K – 6% Employer Match Medical, Dental, Vision – HDHP or PPO HSA – Employer contribution (HDHP only) Volunteer Time Off Career Development / Recognition Fitness Reimbursement Hybrid Work Schedule As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Unlocking Value and Governing Cotality's Data Assets The Property Data Steward is the Data Fluency Leader and Value Enabler for Cotality's core property data assets (Tax Assessor, Appraisal, Transactions, and Derived Data). This is a strategic, high-impact role responsible for moving Data Stewardship beyond basic curation into AI Enablement and Enterprise Confidence. As a dual role, you are the highest-level expert in data fluency across the property domain and the data supply chain. You act as the primary Business/Technology Liaison , responsible for ensuring all products, models, and decisions built on Cotality’s data have a strong foundation of data that is fit-for-use and has consistent interpretation. Your core mandate is to fundamentally unlock the strategic use of our data assets for the business by enforcing governance principles and enabling effective data consumption. You will champion the "why" behind governance, providing the essential scaffolding and framing the organization relies on, ensuring that data is Findable, Usable, Well Understood, and Trustworthy. Your success will be measured by delivering AI-Ready Data and championing AI-Enabled Data Stewardship. Key Responsibilities Data Governance Interpretation and Advocacy Standard Advocacy & Policy Enablement: Support the creation and maintenance of the Data Stewardship Standard Handbook , which rolls up to the overall Data Governance Policy. Your focus will be on operationalizing the spirit of the rule to accelerate business value, not on process constraints. Data Classification and Metadata Stewardship: Responsible for Metadata management and Classification of all core data fields in the property domains. You will champion and contribute to this process to ensure data assets are Findable, Usable, Understandable, and Trustworthy in alignment with Cotality's enterprise goals. Compliance and Permissible Use: Partner with data governance, data sourcing, and compliance to ensure appropriate permissible use standards are tagged and enforced. Center of Excellence ( CoE ) Leadership: Drive the adoption of stewardship principles through the CoE , acting as the subject matter expert to democratize governance functions across non-FTE roles in Product, Operations, and Data Science. Data Asset Strategy & Ontological Enablement (The Data Asset Enabler) Strategic Data Asset Readiness & Fit-for-Use: Champion the fitness-for-purpose of data assets for all business use cases, from critical production products to future exploratory needs. This includes: Partnering with Data Quality and Engineering teams to define and continually refine quality metrics and scorecards based on domain knowledge. Proactively driving action plans for data improvement based on quality scores, assessing urgency (e.g., KBE status), and recommending whether to adjust governance rules or the data itself. Strategically cataloging and classifying all data (including unused or exploratory data) based on its current and potential use in Cotality's products (e.g., Critical, Informative, Exploratory) to accelerate time-to-value. Data Feasibility and Product Advisory: Conduct in-depth analysis and research to advise Product, Data Science, and Engineering teams on the Fitness-for-Use of data assets. Specifically, you will recommend fields based on quality, fill rate, lineage, and other metadata to support critical use cases. Define and Govern Ontology (The Keeper of the Dictionary): Partner with key stakeholders to define the unifying language and global ontology for core property data concepts to ensure consistent semantic interpretation across all business units, data supply chains and consuming systems. You will act as the ontological arbiter. AI Readiness and Semantic Interpretation: Collaborate with key stakeholders to design the Clarification Layer within the semantic framework. This layer enables CoreAI and ML models to intelligently interrogate and interpret diverse data definitions, ensuring data is AI-Ready. AI & Technology Enablement Operational AI Advocacy: Identify and advise on opportunities where AI and ML operations can be leveraged to enhance the internal data supply chain, improve data quality monitoring, and increase governance efficiency. Governance Platform Super User: Act as the primary feedback loop for the Data Governance Tool (e.g., Collibra). Define and mandate feature requirements to eliminate manual cataloging and curation tasks. Embedding Governance: Partner with Data Engineering and Technical Stewards to embed governance into the "native run of show" (e.g., championing Requirements as Code) to ensure automated data profiling, lineage capture, and cataloging of data assets in alignment with Enterprise Data Stewardship standards. Job Qualifications: Business Acumen & Domain Mastery: Intimate knowledge of property data domains (Assessor, Appraisal, Transactions) and the specific business use cases within the financial, insurance, or real estate sectors. 5-7 years of relevant experience. Data Governance & Analytical Practice: Proven experience in supporting data governance standards, policies, and operating models. Proficiency with Enterprise Data Governance platforms (e.g., Collibra) and metadata management. Critical Thinking & Negotiation: Exceptional communication, presentation, and negotiation skills. Ability to critically think about a problem and provide solutions that meet stakeholders' needs. Must act as an effective Arbiter and Liaison between technical teams, business leaders, and compliance stakeholders. Systemic thinking and the ability to translate technical output into clear business impact are essential. Bachelor's Degree preferred or equivalent work experience Additional Skills Preferred AI Aptitude and Technical Literacy: Demonstrated hands-on experience as a core user of AI tools (e.g., LLMs, generative AI, advanced analytics) for personal productivity and process optimization. Strong understanding of AI/ML basics. Data Ontology and Taxonomy: Background in developing and implementing data ontologies for use in semantic layers. #LI-Remote Annual Pay Range: 90,000 - 120,000 USD Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. 2026-02-04 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Click here to see a comprehensive list of our benefit offerings. Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. ​ ​ ​ Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences. ​ Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success. DS Technologies Inc is looking for Data Engineer / BI Developer – Cloud Data Platform rolefor one of our premier clients. Job Title: Data Engineer / BI Developer – Cloud Data Platform Location: New York, NY (Onsite) Duration: Contract Only W2 Job Description: We are seeking a highly skilled Data Engineer / BI Developer to join our Cloud Data Platform Managed Services team. The ideal candidate will possess strong technical expertise in PySpark , SQL , and data visualization , with hands-on experience in tools such as Retool and Power BI . This role requires a mix of backend data engineering and frontend dashboard development skills to design, build, and maintain scalable data pipelines and analytical solutions. Key Skills: PySpark | SQL | Python | Java | Retool | Power BI | Cloud Data Platforms | ETL/ELT | Dashboarding | Front-End Design | Data Modeling | Data Visualization Key Responsibilities: Design, develop, and optimize ETL/ELT data pipelines using PySpark , SQL , and cloud-native services . Develop interactive and dynamic dashboards and visualizations using Retool or Power BI to support business analytics and reporting needs. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data models and reports. Integrate data from multiple sources (structured and unstructured) into unified datasets for analysis and visualization. Implement and manage data transformation workflows , ensuring accuracy, performance, and compliance with data governance standards. Participate in infrastructure management for the Cloud Data Platform, focusing on data accessibility, reliability, and scalability. Work closely with cross-functional teams to ensure end-to-end data integrity and performance tuning. Apply software engineering best practices such as version control, testing, and CI/CD in data pipeline development. Required Qualifications: 5+ years of hands-on experience in Data Engineering and Business Intelligence development . Strong expertise in PySpark and advanced SQL coding for complex data transformations. Experience with Retool (preferred) and/or Power BI for dashboard development. Proficiency in Python and Java for data processing and integration. Understanding of front-end web design principles to build user-friendly data interfaces. Experience working with cloud data platforms (AWS, Azure, or GCP) Strong analytical and problem-solving skills with an eye for data quality and accuracy. Self-starter with the ability to define requirements, design solutions, and execute independently. Excellent communication and collaboration skills with cross-functional stakeholders. Preferred Qualifications: Experience with data warehouse modeling and performance tuning . Familiarity with data governance , security standards , and metadata management . Exposure to data visualization libraries (e.g., D3.js, Plotly) is a plus. Bachelor’s or master’s degree in computer science, Data Engineering , or a related field. Compensation: $52.00 per hour We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Analytics, Data Science, Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $126,500.00 - $208,700.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. Design complex data solutions Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment. Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate. Test data movement, transformation code, and data components. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor’s Degree in STEM related field or equivalent Eight years of related experience Experience with building robust data pipelines and working with large-scale datasets. Proficiency in tools like AWS, Databricks, Snowflake, Gen AI, ETL Tools, Terraform etc. Passion for automation, optimization and delivering high-quality data solutions. A problem-solving mindset with a focus on continuous improvement. Incorporate core data management competencies including data governance, data security and data quality. Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices. The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs. Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems. Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues. Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners. Ability to lead team members and help create a safe environment for others to learn and grow as engineers. and a proven track record of self-motivation in identifying opportunities and tracking team efforts. What is a Must Have? Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. 4 additional years of data engineering experience. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here . As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security , crypto education , and world-class client support through our products like Kraken Pro , Desktop , Wallet , and Kraken Futures . Become a Krakenite and build the future of crypto! Employer: Payward Operations LLC (dba Kraken) Position: Senior Engineering Manager, Data Analytics – Data & AI Job Location: 1603 Capitol Ave, Suite 517B, Cheyenne, WY 82001 Duties: Drive decision making in building cutting-edge products. Transform large datasets from complex systems, generate actionable insights, and share the results with stakeholders at all levels of the company. Partner and lead projects with product management, engineering, client engagement, finance, and other enterprise level teams. Build out analytics and management report dashboards by collaborating closely with directors and cross functional teams to infuse analytics insights into major business priorities and enable data driven decisions. Partner closely with data engineering and enterprise systems team to define, plan, implement, and support the data infrastructure. Lead the definition of data requirements and controls to enable the integrity of the company’s analytics and management reporting. Drive projects and initiatives for assessment of current data and process infrastructure to support team objects. Support data analysis and reporting requirements, building and maintaining knowledge repository and technical documentation libraries for data lake and reporting. Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track. Telecommuting / work from home is permitted. Minimum education and experience required: Master’s degree or the equivalent in Computer Science, Management Information Systems, or a related field plus 8 years of experience in data analytics or related experience. Skills required: Must have experience with: Data pipelines, ETL/ELT, data warehousing, and orchestration tools; BI tools (Tableau, Looker or similar); Data platforms such as Snowflake, Big Query, Redshift; and observability and experiment platforms; Statistics experimentation (A/B testing), modeling techniques and casual inference; languages such as Python, SQL, Scala, or Java for data systems; Hiring a technical team, including providing feedback and mentoring for career growth; Translating business problems into technical plans; Driving strategy for data products and platforms, such as self-serve analytics; Balancing long-term tech investments with short-term business needs; Agile or hybrid methods tailored to analytics projects; Working with product and business leaders to define KPIs, dashboards, and success metrics for product performance; Aligning data strategy with company and product goals; and Driving data quality, engineering best practices, and scalable systems. Employer will accept any amount of experience with the required skills. Payward Operations LLC (dba Kraken) is an Equal Opportunity/Affirmative Action Employer. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $225,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

Job Description About GM There's never been a more exciting time to work at General Motors. To achieve our vision of Zero Crashes, Zero Emissions, and Zero Congestion, we need people who are passionate about creating safer, smarter, and more sustainable mobility solutions. About Product Safety Data Analytics (PSDA) Product Safety Data Analytics (PSDA) is a core part of GM's safety ecosystem. PSDA supports safety decision-making by identifying potential emerging vehicle safety issues through the analysis, mining, and monitoring of large volumes of structured and unstructured data. The team works across customer complaints, engineering data, crash and field reports, vehicle telemetry, surveys, and research data to detect trends, assess risk, and deliver decision-ready insights to safety, engineering, and leadership stakeholders. The Role The Product Safety Data Analyst supports Global Vehicle Safety and related organizations by executing rigorous, unbiased data analyses that inform safety investigations and decisions. This role is primarily focused on data extraction, preparation, analysis, visualization, and communication. The analyst works closely with safety engineers, statisticians, and analytics partners to ensure analyses are accurate, timely, and clearly presented. What You'll Do (Responsibilities) Pull, prepare, and analyze large volumes of structured and unstructured safety data Support safety investigations through statistically sound analyses and exploratory data work Apply appropriate statistical methods to assess trends, risk, potential failure behavior, and anomalies Create clear, unbiased visualizations and summaries that accurately reflect the data Translate complex analytical findings into understandable insights for non-technical audiences Present results in written and visual formats to technical teams and leadership Collaborate with Safety, Engineering, Quality, and IT partners on cross-functional work Balance recurring sustaining analytics with ad-hoc data pulls and rapid-turn analyses What You'll Do (Responsibilities) Consult on data and analytics needs for safety investigations Perform statistical analyses using established methods and best practices Ensure analytical work is accurate, reproducible, and unbiased Build and maintain queries and datasets across multiple data sources Develop charts, dashboards, and visual summaries for ongoing monitoring and investigations Communicate assumptions, limitations, and results clearly and professionally Manage multiple concurrent requests in a fast-paced, ambiguous environment Yours Skills & Abilities (Required Qualifications): 3+ years of post-graduation experience in analytics, statistics, or a related field Bachelor's degree in applied Statistics, Mathematics, Actuarial Science, or a related discipline Working knowledge of statistical techniques, including: Time series analysis Categorical data analysis Multivariate analysis Logistic regression Linear and non-linear modeling Outlier assessment / anomaly detection Strong proficiency in data visualization and charting Experience analyzing text or unstructured data using text mining, machine learning, or similar methods Proficiency with one or more programming or query languages (e.g., SQL, Python, R) Experience with data preparation, cleaning, rationalization, and processing Ability to independently manage a high-volume workload Comfortable working in ambiguity and responding to unplanned requests Strong written and verbal communication skills Demonstrated continuous-learning mindset Tools & Technical Experience (one or more preferred) Data & Query: SQL; Databricks Programming: Python; PySpark (preferred) Analytics & BI: Power BI, Tableau; Excel What Can Give You a Competitive Edge (Preferred Qualifications): Experience working with vehicle diagnostics, telemetry, or connected-vehicle data Familiarity with interpreting diagnostic signals, fault codes, and time-series vehicle data in an analytics or safety context Working knowledge of vehicle safety systems, vehicle components, and field performance AI / ML proficiency: Ability to leverage AI tools to accelerate data analysis, apply basic machine-learning models when appropriate, and clearly interpret and communicate results while maintaining data quality and risk awareness Master's degree in Applied Statistics, Mathematics, Actuarial Science, or a related field #LI-KE2 GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits. The position is subject to export control restrictions and requires the successful candidate to be either a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) or a non-U.S. Person who is eligible to obtain any required export control authorization. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Strong foundational knowledge and experience in statistics, probability, and experimental design. Experience applying data governance concepts and techniques to assure greater data quality and reliability. Hands-on experience with Python, SQL, and modern ML frameworks. Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. Knowledge of generative AI and large language models (LLMs) for enterprise use cases. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Experience with MLOps and CI/CD pipelines for AI/ML deployment. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced Degree (Master's or Ph.D.) in Data Science, Computer Science, AI, or related field. Experience with API development and integration for data services. Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. #LI-DNI The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

About Ameren Illinois Ameren Illinois provides electric transmission and distribution service and natural gas distribution service. Every day, we deliver electricity to 1.2 million electric and 816,000 natural gas customers in central and southern Illinois. We deliver safe, reliable energy to more than 1,200 communities. Our benefits include: Medical coverage on date of hire 100% employer paid cash balance pension plan 401(k) with company match fully vested on date of hire Minimum of 15 days paid vacation and 12 paid holidays Paid parental leave and family caregiver leave Visit our Benefits and Perks Page for more information on benefits provided to regular full-time employees. ​ About The Position Generates reports and/or datasets for end users, using system tools, databases, and scripts. May alter deliverables based on evolving business needs Designs and develops methods, processes, and systems to consolidate and analyze data to generate actionable insights Integrates data from multiple sources to produce requested or required data elements Develops analytics solutions to business problems and works with stakeholders on understanding those solutions Leverages data, dashboards, and/or models when communicating recommendations for business decisions Key responsibilities include: Builds an understanding of existing systems, databases, and procedures and follows corporate policies when executing projects Applies best practices and established procedures to analyze data and identify trends Assists in the creation of dashboards and reporting models in a relational database management system Assists in ongoing maintenance and support of reporting and analytics applications Engages with business stakeholders to develop an understanding of their operations and define how analytics can solve key business problems Documents data requirements and works with business users to understand the goal of a project or analysis Demonstrates a bias for action by hitting deadlines, communicating with project stakeholders, and producing polished outputs Partners effectively with team members and departments to achieve the best results Requests feedback on own work and provides feedback to others Qualifications- Associate Data Analyst Bachelor’s degree required, preferably in mathematics, statistics, computer science or business 0+ years of relevant experience* Will consider candidates without a degree if they show/demonstrate having 2+ years equivalent, relevant experience in tools, systems, and initiatives leveraged by Ameren Qualifications- Data Analyst Bachelor’s degree required, preferably in mathematics, statistics, computer science or business 3+ years of relevant experience Master’s and/or Ph.D. in a technical discipline e.g., engineering, mathematics, statistics, finance/economics, etc.) may replace a maximum of 2 years of experience. Qualifications- Senior Data Analyst Bachelor’s degree required, preferably in mathematics, statistics, computer science or business 5+ years of relevant experience Master’s and/or Ph.D. in a technical discipline e.g., engineering, mathematics, statistics, finance/economics, etc.) may replace a maximum of 2 years of experience. *Career path level depends on applicant experience and credentials In addition to the above qualifications, the successful candidate will demonstrate: Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming (R, Python, VBA, or SAS) Working analytical skills to address business problems Familiar with Microsoft Office Products – specifically Microsoft Excel Ability to manage multiple priorities and to clarify priorities, scope, and requirements in ambiguous situations Additional Information Ameren’s selection process includes a series of interviews and may include a skills/knowledge assessment process. Specific details will be provided to qualified candidates. #LI-Hybrid Compensation Range: $72,000.00 - $162,900.00 * This pay range encompasses multiple levels of the role. Career level and compensation depends upon applicant's credentials. At Ameren, base salary is one component of a competitive compensation package for employees. Our pay ranges are broad to allow for movement within our organization and to accommodate different skill sets and levels of expertise. We take into consideration a variety of factors including, but not limited to, skills, abilities, experience, education, credentials, and internal equity when determining the base salary offered. Roles are eligible for additional rewards including annual incentive payments based on individual and company performance. If end date is listed, the posting will come down at 12:00 am on that date: Sunday February 01, 2026 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, disability, genetic information, military service or status, pregnancy, marital status, sexual orientation, gender identity or expression, or any other class, trait, or status protected by law.

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk-and we're now building the team to scale that impact. About the Role We're hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function's standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend $180,000 - $225,000 a year Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible. Job Description: Parsons is looking for a talented Data Engineer / Data Scientist to join our growing team! This role offers a unique opportunity to contribute to mission-critical projects by leveraging advanced data engineering and data science methodologies to enhance the efficiency and effectiveness of our data-driven operations. What You'll Be Doing: Support large-scale data ingestion into our AWS cloud infrastructure Ensuring the efficient and secure ingestion, normalization, and analysis of vast amounts of data to support our advanced analytics and decision-making processes. Designing and implementing robust data pipelines to ingest and process large volumes of data from diverse sources into our AWS cloud environment Work closely with cross-functional teams to develop and maintain data models, perform data normalization, and ensure data quality and integrity Interact with various stakeholders and team members to ensure that all data solutions meet mission requirements and adhere to best practice What Required Skills You'll Bring: 3+ years of experience in data engineering or data science, along with a bachelor's degree in computer science, Data Science, or a related field Active TS/SCI with CI Poly Deep understanding of data engineering best practices, cloud technologies, and data analysis techniques, as well as proficiency in relevant programming languages and tools. Strong analytical and problem-solving skills Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position. This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now. Salary Range: $108,700.00 - $190,200.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The Data Platform Mission aims to empower the organization to access and use data to answer important questions, power user experiences, and to make strategic decisions that create value across the organization. We are looking for a Data Taxonomist that can help develop a new function within Data Platform that focuses on supporting our most critical data assets across The New York Times data domains. You will partner with many different teams and roles to develop data products, event tracking, data models, and data taxonomies. This role is based in our New York City office in Times Square. Responsibilities: As a Data Taxonomist, you'll work with Data Platform teams and teams across the organization to manage data in a structured and clear way. You will ensure that our data can connect across domains, manage our overarching data taxonomies, and ensure that we evolve our data management. You will develop deep expertise within specific data domains, being an subject matter expert for the business and being partner across data initiatives. You will focus on defining our critical data, shaping it, defining collection plans, and building the backbone of our data management taxonomies and data models. Responsibilities will include: Data Platform Evangelist Provide frameworks, training, and guidance to individuals across the organization to define data taxonomies and models Establish data management frameworks that provide clear recommendations and requirements for data producers, while also working with data platform team to integrate into capabilities Embed and work with data platform teams to build governance into core capabilities Data Taxonomy & Meta-Data Management Develop and maintain an enterprise data taxonomy that classifies and categorizes data across business domains, ensuring consistency and usability Create standards and processes for consistent labeling, categorization, and tagging of The NYT data Maintain and oversee data catalog with accurate definitions, business logic/rules, and metadata for different data elements Establish and enforce standard data models for events and tracking across engagement data, ensuring event consistency and use in event tracking implementations across the organization Develop processes to maintain and evolve data taxonomies and data models that allow us to pilot and iteratively test data models/taxonomies using data Run and provide oversight for any governance or data councils (ex: metrics council) Advocate for information architecture best practices across the organization Establish master data management You will report to the VP of Data Platform Product Domain Support Maintain, update, and evolve our enterprise data and metrics catalogs in partnership with domain data analysts Identify evolving data needs across domains, extending and evolving the data taxonomy and models Collaborate with different teams to understand domain needs, maintain data models, and oversee the implementation of data governance standards Improve data quality, identifies issues, and develops solutions to comply with regulatory requirements Document data management standards and supports business stewards i Assist teams with event tracking support and understanding Monitor domains with KPIs of data governance, quality, integration, security, and analytics Develop domain-specific documentation such as Data Use Cases and Data Flow Diagrams Provide support and training to the business regarding data governance and modeling Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 5+ years of developing taxonomies and information architecture for front-end and back-end use cases 3+ years working with data taxonomies, data management, or data governance Expertise with JSON, YAML, relational data modeling, and other data modeling languages and tools 2+ years of working with event-based and behavioral/engagement data, including designing and managing event tracking plans Program management skills with organized and transparent working style 2+ years of experience working with product teams, data engineers, data scientists, and analysts to manage their data Excellent skills using SQL, Python, and other data wrangling tools and languages Applied knowledge of industry-leading data governance, quality, and data management practices and tools Preferred Qualifications: Proficiency with GCP, AWS, or other big data environments REQ-019364 The annual base pay range for this role is between: $96,000-$110,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

Pionnier des ventes événementielles en ligne depuis 2001 et acteur incontournable du e-commerce en Europe, Veepee collabore avec plus de 7 000 marques pour proposer des produits à forte décote, disponibles sur une durée limitée. Présent dans de nombreux univers parmi lesquels la mode, la maison, le vin, le voyage, ou encore la beauté ... Veepee a réalisé en 2024 un chiffre d'affaires de 3,3 milliards d'euros TTC et compte 5 000 collaborateurs répartis dans 10 pays. JOB DESCRIPTION La mission de l'équipe Sourcing Excellence est de " guider et faciliter la mise en œuvre de la stratégie commerciale de Veepee, en reliant l'expertise et les solutions à l'exécution en matière de processus, d'outillage et d'organisation ". IDENTIFIER LES PRIORITÉS STRATÉGIQUES CLÉS : Élaborer des analyses de rentabilité et prioriser les projets de méthodologie commerciale afin de créer une valeur durableOrganisation d'excellence commerciale : Garantir une organisation optimale pour maîtriser l'excellence commerciale et la meilleure stratégie de gestion de comptesMéthodologie commerciale : Assurer un niveau d'interaction et de suivi adéquat.Tarification : Garantir la compétitivité et la rentabilité. Définir des indicateurs clés de performance (KPI) et suivre l'activité commerciale. Impact sur l'activité, les marques, le chiffre d'affaires et les marges produits. TASKS 1 - Créer des outils pour : Suivi des performances commerciales, des stratégies de tarification et de l'activité commerciale (suivi des indicateurs clés de performance, création de tableaux de bord) Faciliter les processus d'excellence commerciale, de reporting et d'approvisionnement 2 - Suivi des besoins en données, enrichissement des données disponibles sur MicroStrategy et modélisation du lac de données en collaboration avec les équipes de données 3 - Gestion de l'outil de visualisation des données (Microstrategy) dans un environnement en constante évolution, soutien aux utilisateurs et aux autres membres de l'équipe. Vous travaillerez au sein d'une équipe d'analystes de données et de chefs de projet, afin de soutenir les initiatives d'excellence en matière d'approvisionnement : besoin d'informations, automatisation des processus redondants, suivi des résultats. MUST HAVE SKILLS Un diplôme en administration des affaires, en économie, en statistiques ou en mathématiques Expérience préalable en analyse commerciale, avec une spécialisation dans les données de vente Maîtrise de Google Workspace et de Microsoft Office Solides compétences en modélisation, adaptées à votre public Solides connaissances en SQL et maîtrise du fonctionnement des bases de données Solides compétences en communication et en priorisation Excellente maîtrise de notre outil de visualisation, Microstrategy Vous parlez couramment anglais Vous êtes passionné par le monde des affaires : vous avez à cœur d'en comprendre les moteurs et d'étudier ce qui peut être développé ou optimisé. Vous êtes à l'aise avec le traitement des données (de multiples informations provenant de sources variées), même complexes, et vous possédez d'excellentes compétences en modélisation. Vous êtes un excellent joueur d'équipe et vous vous concentrez sur le partage de vos connaissances pour aider les membres de l'équipe à progresser : nous gagnons en équipe ! Vous possédez d'excellentes aptitudes en communication et en résolution de problèmes, avec une attitude résolument positive. Vous êtes extrêmement rigoureux , vous récupérez vos sources et vous étayez vos résultats. BENEFITS Variable bonus Plan de participation aux bénéfices et de primes Bureau flexible avec un minimum de 3 jours sur site et jusqu'à 2 jours à domicile Plateforme d'apprentissage des langues en ligne Le comité d'entreprise et ses nombreux avantages CESU et bons de vacances Accès à un restaurant et une cantine d'entreprises connectées Accès à la salle de sport ️RECRUITMENT PROCESS Entretien RH Entretien avec le responsable Interview du réalisateur Tous nos postes sont ouverts aux personnes reconnues en situation de handicap. Nous sommes convaincus que c'est à vous de définir votre façon de travailler, de vous développer et de progresser. Chez Veepee, nous vous garantissons que vous pouvez tout simplement être vous-même ! Au service de la diversité et de l'inclusion, Veepee s'engage à examiner toutes les candidatures reçues sur une base égalitaire. ENTREPRISE Pour plus d'informations à propos de notre éco système : https://careers.veepee.com/en/home-page-en/ Our 6000 employees have chosen a job at Veepee to spice up their daily lives! Our teams implement new technologies to fuel our strategies, offering our customers the best possible experience. Are you eager to learn? Veepee offers you a variety of trades to develop your career, enabling you to renew your skills constantly. Tech, logistics, sales, marketing, sales production: join us on an exciting, digital-centered journey. The Veepee Group processes your data collected as part of the management of your recruitment in order to manage your application file for the position for which you have applied. To find out more about our personal data protection policy, we invite you to consult it on our career site. 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.

At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: Lead Analytics Engineer The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Reporting to the Associate Director - Data Platforms, the Lead Analytics Engineer is responsible for making our data accessible, understanding its business value, generating insights, and communicating those insights effectively to deliver value and enable decisions. This role focuses on speed to insight, raising our organization's data fluency, and championing continual improvement. Your Responsibilities: Lead the design and implementation of scalable data modeling frameworks that transform raw data into reliable, analytics-ready datasets. Establish organizational standards for metric definitions, business logic, and data transformation patterns. Address enhancements, requests, and incidents related to our enterprise visualizations and Power Platform landscape. Influence Data Platforms product owners and leadership to ensure the appropriate prioritization and planning of opportunities occurs. Mentor analysts and analytics engineers on data modelling, SQL best practices, and analytics engineering principles. Continuously educate stakeholders about services, standards, examples, and patterns provided by the Data Platforms team. Work with the Product manager and Operations Lead to ensure related service offerings are represented appropriately in the catalog and are accessible/discoverable by stakeholders. Represent the Data Platforms team across Elanco as a data evangelist and champion in our various communities, forums, and working groups. What You Need to Succeed (minimum qualifications): Bachelor's degree in computer science, Data Analytics or equivalent professional experience. 8+ years of analytics/BI experience, with 3+ years focusing on analytics engineering Expertise in dimensional modeling and metrics/semantic layer design What will give you a competitive edge (preferred qualifications): Expertise in data testing and validation frameworks. Demonstrated experience leveraging analysis, visualization, and communication skills to create artifacts resulting in actionable insights. Experience mentoring analysts in SQL and data modeling best practices. Understanding of data governance and metadata management. Demonstrated experience with the relevant languages, tools and technologies associated with modern data analysis with an emphasis on Power BI/Power Platform, Tableau, Databricks, the Azure Platform, SQL, Power Query and DAX Prototyping experience using Figma Additional Information: Travel: 0% Location: India, Bangalore Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status

ESSENTIAL JOB FUNCTIONS Data Pipeline & Platform Development Build and maintain pipelines using dbt, Prefect, and Terraform Develop and manage connectors across sources and targets including Kafka, RDBMs, and Snowflake. Implement schema evolution, validation rules, and automated testing Support high-availability and disaster recovery design for Snowflake and Materialize Data Product Engineering Author and review schemas and data contracts for consistency and governance Develop and optimize dbt models for Snowflake and Materialize analytics layers Configure clusters and role-based access for shared environments Document datasets to ensure discoverability and proper usage across teams Stakeholder Collaboration Partner with BI developers, analysts, and business teams to deliver datasets that support reporting, dashboards, and integrations Investigate and resolve data issues, ensuring durable fixes Participate in design reviews to align technical solutions with business requirements Collaboration & Standards Contribute to PR and design reviews for pipelines and models Support platform governance, observability, and best practices for data quality Work with adjacent teams (Ops & Reliability, Analytics, Product) to align on SLAs and data definitions Other duties as assigned OTHER SKILLS AND ABILITIES Proficiency in Python and SQL for building and optimizing data pipelines Hands-on experience with dbt for modeling and testing, and Terraform for infrastructure-as-code Familiarity with modern data platforms: Snowflake, Materialize, Kafka, HVR, Fivetran, or Stitch Understanding of data contracts, observability, and governance practices Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar) Ability to translate business needs into scalable technical solutions Knowledge of compliance frameworks (e.g., GDPR, CCPA, SOC 2) a plus EDUCATION AND EXPERIENCE Quantitative bachelors' degree preferred but not required Prior experience in a data engineering or data-heavy backend software engineering role PHYSICAL REQUIREMENTS Job requires the ability to use vision, adjust focus and work on a standard computer screen Job may require extended sitting or standing, use of standard office equipment CERTIFICATION AND LICENSES Professional certification may be required in some areas. WHY SHOULD YOU WORK FOR CRANE? At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work. We offer: Quarterly Incentive Plan 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use Excellent Medical, Dental and Vision benefits Tuition Reimbursement for education related to your job Employee Referral Bonuses Employee Recognition and Rewards Program Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities Employee Discounts Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates Come join the leader in logistics and take your career in the right direction. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We maintain a drug-free workplace and perform pre-employment substance abuse testing. This position requires the final candidate to successfully pass an E-Verify Check. More Information: http://www.dhs.gov/e-verify Company benefits are contingent upon meeting eligibility requirements and plan conditions.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Strong foundational knowledge and experience in statistics, probability, and experimental design. Experience applying data governance concepts and techniques to assure greater data quality and reliability. Hands-on experience with Python, SQL, and modern ML frameworks. Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. Knowledge of generative AI and large language models (LLMs) for enterprise use cases. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Experience with MLOps and CI/CD pipelines for AI/ML deployment. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced Degree (Master's or Ph.D.) in Data Science, Computer Science, AI, or related field. Experience with API development and integration for data services. Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. #LI-DNI The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

This position is on-site 2-3 days in Philadelphia About Proscia Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology's transition from microscope to images, and to use AI to change the way we think about cancer. We can't change medicine alone. That's why we're looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind. At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors. About this Position As a Senior Data Engineer, you will contribute to Proscia's growing Real World Data (RWD) business, which operates as a "startup within a startup." In this entrepreneurial environment, you will help build and scale innovative data solutions that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens. Success in this role requires independence, adaptability, and close collaboration with cross-functional teams while maintaining alignment with broader engineering initiatives. What You'll Do Working at a startup like Proscia means wearing many hats, but when you come to work, you can expect to focus on the following: Develop and refine data pipelines in collaboration with the RWD team and customers, ensuring seamless extraction, transformation, and loading (ETL) of data from customer systems into Proscia's repositories. Work independently to identify and implement process improvements, such as automating manual data migration tasks to accelerate data flows. Design, build, and optimize API integrations, including REST and event-driven/pub-sub architectures, to enable real-time data ingestion, transfer, and quantification. Modify and create Python scripts to allow customers to efficiently upload data, including images, metadata, and other formats. Architect data models, data warehouse design patterns and scalable database solutions to support rapidly growing data while ensuring efficient performance and metadata processing. Collaborate with cross-functional teams, including the core engineering and AI teams, to align technical strategies and ensure seamless integration of RWD solutions with the larger Proscia platform. Operate with a startup mindset, contributing to the RWD team's agility and entrepreneurial spirit while delivering high-impact results. What We're Seeking We're looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments and are ready to build the plane while flying it. Our ideal candidate has: 3-5+ years of professional experience with Python scripting for data management. 3+ years of experience with detailed knowledge of data warehouse technical architectures. Strong analytical skills and attention to detail, with a proactive approach to solving problems. Experience with JavaScript and familiarity with modern frameworks (preferred). Proficiency in SQL and/or PostgreSQL. Hands-on experience with REST API development and integrations. Experience in cloud platforms, particularly AWS (preferred). Expertise with Snowflake or similar data warehouse platforms Software engineering principles testing (definition of unit tests, integration tests), setting up CI/CD pipelines and experience with containerization technologies like Docker and orchestration tools like Kubernetes. The ability to work independently within a cross-functional team and coordinate effectively across other engineering teams to design and implement high quality data pipelines. A Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering (Master's degree preferred). Experience working in the life sciences/biopharmaceutical industry is a plus. Beyond Just Work At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth. Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction. We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER - TOP SECRET CLEARANCE (APPLICATION SOFTWARE, DATA) The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. Our team is creating systems to ingest and store concurrent streams of data from many always-on assets to manage the world's largest satellite constellation, reusable rockets, and Dragon spacecraft. Other applications range from platforms that enable rapid build and reuse of Starship, designing the next generation manufacturing software that will be used in high throughput factories for Starlink, and public facing systems where customers can join our Starlink network globally. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. RESPONSIBILITIES: Develop highly reliable and scalable data pipelines to empower engineers across SpaceX Create new applications that improve how the business at SpaceX operates Collaborate with peers on architecture, design, and code reviews Build prototypes to prove out key design concepts and quantify technical constraints Own all aspects of software engineering and product development Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree 1+ years of experience in full stack development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: Programming experience in Python, C#, Java, Scala, Go or similar languages Experience working with in-stream, big data processing and analytics using Apache Kafka, Spark, Flink, SQL or similar Experience with relational and non-relational databases, data lakes e.g. HBase, Hive, Delta Lake, PostgreSQL, CockroachDB or similar Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar Good understanding of version control, testing, continuous integration, build, deployment and monitoring Some front-end experience in Angular, React, or similar JavaScript framework Good understanding of statistics, machine learning algorithms and frameworks ADDITIONAL REQUIREMENTS: Active Top Secret or TS/SCI. Note that an active clearance may provide the opportunity for you to work on sensitive SpaceX missions. If so, you will be subject to pre-employment drug and random drug and alcohol testing Willing to work extended hours and weekends when needed COMPENSATION AND BENEFITS: Pay Range: Data Engineer/Level I: $120,000.00 - $145,000.00/per year Data Engineer/Level II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

Job Description Location: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, Michigan, three times per week, at minimum. The Role The Supplier Quality Data Analytics Group is seeking a highly motivated and technically skilled Data Engineer to support data-driven decision-making across the Global Supplier Quality organization. In this role, you will design, develop, and maintain scalable data pipelines and analytics solutions that enhance supplier quality performance, reporting, and operational efficiency. You will work in a modern data environment, collaborating with cross-functional stakeholders to deliver high-quality, reliable data that powers actionable insights and continuous improvement across GM's supply base. What You'll Do Develop Data Pipelines: Design, build, and optimize ETL pipelines for ingesting, transforming, and storing supplier quality data from multiple sources, ensuring high performance and scalability for large datasets. Model and Store Data: Implement relational and dimensional data models to support analytics and reporting, using tools such as SQL, Databricks, Microsoft Fabric, and Dataloop. Support Analytics and Reporting: Prepare clean, structured datasets for dashboards and reports in Power BI. Collaborate with data analysts and quality engineers to ensure data accuracy, usability, and consistency. Automate and Integrate Systems: Develop and maintain automation workflows using Python. Integrate data solutions with collaboration tools such as Slack and SharePoint for streamlined processes. Maintain Data Governance and Security: Ensure compliance with corporate data standards. Monitor data integrity and troubleshoot issues across pipelines, models, and dashboards. Your Skills & Abilities (Required Qualifications) Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field. Minimum 3 years of experience in data engineering or analytics roles. Proficiency in SQL and Python for data manipulation, automation, and ETL development. Experience with data visualization tools such as Power BI. Familiarity with cloud platforms (e.g., Azure, AWS) and big-data technologies (e.g., Spark, Databricks). Strong understanding of data modeling, data warehousing, and pipeline architecture. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a fast-paced, cross-functional environment. What Will Give You a Competitive Edge (Preferred Qualifications) Experience working with supplier quality data or manufacturing analytics. Hands-on experience with Microsoft Fabric and its components (Lakehouse, Dataflows, Notebooks). Knowledge of Slack automation and SharePoint integration. Certifications in Databricks, Dataloop, or Microsoft Fabric. Familiarity with GM systems such as SQMS, MARS, and SPCR workflows. Previous experience supporting dashboard development and data governance in a corporate or manufacturing setting. GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.