Data Engineer jobs at Groupon

The Opportunity: TrueCar is seeking a data-driven problem solver for our Data Engineering team. As a Data Engineer 4, you'll work in a fast-paced environment with a highly collaborative team that ingests rich datasets at scale to enable an online technology platform revolutionizing the car buying experience. In this role reporting to the Manager, Data Engineering, you'll be responsible for influencing architectural decisions and writing highly scalable Java-based pipelines and services to process automotive data and power a modern car-buying experience, making it easier for consumers to search, discover, and buy a car online. Your ideas will directly impact the product experience and business outcomes. Are you passionate about performing meaningful work? If so, apply today! How you'll drive TrueCar's success: * Design and implement scalable big data pipelines using Apache Airflow with focus on reliability, monitoring and performance optimization * Develop high-quality product features using skills in Java, Python, Spring Boot, GraphQL, Maven, and other open-source Java libraries spanning multiple product domains and integration with REST API's * Develop and support solutions using DynamoDB for fast, scalable storage and Redis for real-time caching to improve application performance and reliability * Develop data models and architecture solutions that align with business requirements * Establish and maintain data quality frameworks and governance standards to ensure accuracy, consistency, and compliance across data assets * Design, build, and maintain scalable APIs and services to enable reliable data access and integration across internal systems and platforms * Work closely with product owners & analysts to understand business and functional requirements and contribute to the design and prioritization discussions * Learn how automotive marketplaces operate and contribute to providing great experiences for our customers * Actively participate in team planning, estimation, and collaborative software design discussions * Identify and implement process improvements that enhance team efficiency * Be an integral member of our engineering team, fostering a culture of mentorship and continuous learning Your Expertise: * Bachelor's degree in Computer Science or a related field * Proven expertise in Java and Python * Comprehensive understanding of algorithms, data structures, and object-oriented programming. * Advanced SQL and data modeling experience * Apache Spark development proficiency * Expertise in orchestrating data pipelines with Apache Airflow * Advanced proficiency in SQL and data modeling across structured and semi-structured datasets * Demonstrated experience improving pipeline reliability, observability, and performance * Experience with data documentation and governance * Hands-on experience deploying on AWS Cloud infrastructure Services (EMR, S3, Athena etc.), preferred * Master's degree in Computer Science or a related field, preferred * NoSQL databases (DynamoDB, MongoDB), preferred * Streaming technologies (Kafka, Kinesis), preferred * GraphQL and REST APIs, preferred * In-memory data stores (Redis), preferred Please note that final interviews may be conducted in-person at the Company's sole discretion. Base salary range: $128,000 - $185,000

At Verndale, we are building a next-generation Data & Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action. Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions. As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data & Analytics team extends Verndale's core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight. We are pragmatic innovators, grounded in Verndale's entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond. What You'll Do Design, build, and maintain robust ETL/ELT pipelines (batch and streaming) that move data from diverse source systems into analytics, AI, and machine learning platforms. Develop and optimize data architectures (data lakes, warehouses, lakehouses, marts) that support real-time and batch analytics, ML workflows, and personalization use cases. Build automation and orchestration for data pipelines using modern workflow tools (Airflow, Prefect, dbt, Azure Data Factory, etc.). Partner with data architects, analysts, and client stakeholders to translate business requirements into technical designs and deliver data products with impact. Ensure data quality, lineage, observability, and security through validation, monitoring, and governance best practices. Optimize performance and cost-efficiency of pipelines and storage, leveraging partitioning, indexing, and query tuning. Support cloud-first architectures across AWS, Azure, and GCP, integrating services for compute, storage, and real-time data processing. Contribute to proofs of concept, platform migrations, and modernization efforts for client data platforms. Mentor junior engineers and contribute to the team's culture of technical excellence and continuous learning. What We're Looking For 2-4+ years of experience in building production-grade data pipelines and data systems. Strong proficiency in SQL, Python, or Java/Scala, with experience in distributed data frameworks (Apache Spark, Presto, EMR) Experience with modern data platforms (Snowflake, BigQuery, Redshift, Databricks, Synapse) Hands-on skills with streaming technologies (Kafka, Kinesis, Pub/Sub) and real-time data ingestion Knowledge of data modeling principles and schema design for analytics and operational systems Familiarity with DevOps and CI/CD practices for data, including version control (GitHub/GitLab), testing, and deployment automation. Exposure to data governance, security, compliance, and observability frameworks (lineage, monitoring, metadata/catalog tools) Ability to collaborate in a consulting/client-facing environment, balancing technical depth with pragmatic delivery Employs generative AI (e.g. ChatGPT, Gemini, Claude) to accelerate code development, ETL pipeline design, and troubleshooting processes. Excellent communication skills, with the ability to explain trade-offs and design choices to both technical and non-technical stakeholders. Nice-to-Have Skills Experience with MLOps and preparing data pipelines for ML/AI model training, deployment, and monitoring Familiarity with modern data stack tools (dbt, Fivetran, Matillion, Terraform) and infrastructure-as-code practices Background in real-time personalization or event-driven architectures Exposure to NoSQL and graph databases (MongoDB, Cosmos DB, DynamoDB, Neo4j). Experience with containerization/orchestration platforms (Docker, Kubernetes, ECS). Familiarity with metadata, semantic layers, or catalog tools (e.g. Unity Catalog, Data Catalogs) and/or data observability tooling. Prior experience in a digital experience or consulting services environment, ideally integrating data with DXP, MarTech, or Commerce platforms. Contributions to open source, thought leadership, or participation in data/AI community events. Ten Great Reasons to Work at Verndale We are a rapidly growing company that is just as entrepreneurial today as when we were founded in 1998. We are relentlessly curious and enthusiastically solve our clients' complex business problems through technology, data, and design. We foster a culture that enables every person in the organization to do the best work of their career. We offer regular training and professional development to move careers forward. Client and employee satisfaction are our two most important business metrics. We celebrate and champion diversity, equity, and inclusion. We offer generous paid company holidays, vacation, and paid sick time to every employee starting on day one. We provide top-of-the-line benefits including health, dental, vision, 401K, LTD, STD, Life Insurance, EAP, HRA and more. We support a healthy work/life balance. We are fully remote enabled and embrace the evolving definition of the workplace. About Verndale Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world. With offices in Boston, Montreal, Los Angeles, Quito, and hubs across the Americas, we partner with marketing and technology leaders to deliver personalized web, mobile, and ecommerce solutions that elevate customer experiences. At Verndale, we thrive on collaboration and innovation, offering a full range of services that span strategy, design, development, personalization, SEO, analytics, and digital advertising. We celebrate diversity and inclusion, striving to create a climate of respect essential for both individual and company success. If you're ready to be part of a passionate team dedicated to making an impact and driving growth, we invite you to explore a career at Verndale. Compensation & Benefits $85,000 - $120,000 USD In accordance with applicable law, the above salary range provided is Verndale's reasonable estimate of the salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary, Verndale also offers a competitive benefits package. Verndale is proud of the fun, diverse, and respectful company environment we enjoy on a daily basis. Competitive compensation and comprehensive coverage for medical, dental, life, disability and a 401(k) savings plan are offered to all full-time employees. Ample company paid holidays and personal time off make having a work-life balance possible. For some roles, remote work is a definite possibility; we believe in hiring the best and keeping our own happy and motivated. Verndale is an Equal Opportunity Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Join the Tilt team At Tilt (formerly Empower), we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond outdated credit scores, using over 250 real-time financial signals to recognize real potential. Named among the next billion-dollar startups, we're not just changing how people access financial products - we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Staff Data Scientist Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions. The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations. For this role, we're looking for a seasoned data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products. This individual will own creating and improving credit risk models, building ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates. The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools. Tilt is a remote-first company. We drive connectivity through regular company offsites. Travel for company offsites is expected at a minimum 2 times a year. How You'll Make an Impact Grow user base and increase retention through machine learning and analytics Build machine learning models with large scale data sets to address business priorities Design and influence strategies on underwriting, marketing, fraud and customer experience Work closely with our engineering team as you implement models in production Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context Develop data standards and analytics pipelines to facilitate current and future analysis Why You're a Great Fit BS degree in engineering, computer science, finance or mathematics 6+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch Strong programming skills in Python with intermediate to advanced knowledge of SQL Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc. Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required Comfort working with a variety of cross functional partners in tech, product, credit, and business Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience Don't meet every qualification? We care about potential over your past. If you're bringing ambition and drive to what we're building, we want to hear from you. What you'll get at Tilt Virtual-first teamwork: The Tilt team is collaborating across 14 countries, 12 time zones, and counting. You'll get started with a WFH office reimbursement. Competitive pay: We're big on potential, and it's reflected in our competitive compensation packages and generous equity. Complete support: Find flexible health plans at every premium level, and substantial subsidies that stand up to global standards. Visibility is yours: You can count on direct exposure to our leadership team - we're a team where good ideas travel quickly. Paid global onsites: Magic happens IRL: we gather twice yearly to reconnect over shared meals or kayaking adventures. (We've visited Vail, San Diego, and Mexico City, to name a few.) Impact is recognized: Growth opportunities follow your contributions, not rigid promotion timelines. The Tilt Way We're looking for people who chase excellence and impact. Those who stand behind their work, celebrating the wins and learning from the missteps equally. We foster an environment where every voice is valued and mutual respect is non-negotiable - brilliant jerks need not apply. We're in this together, working to expand access to fair credit and prove that people are incredible. When you join us, it's not just another day at the [virtual] office, you're helping millions of hardworking people reach better financial futures. You're pushing ahead in your career? We can get behind that. Join us in building the credit system that people deserve.

SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud. We're looking for a Senior Data Engineer to join our growing Platform Enablement team. This is a central engineering team that supports various initiatives around SoundCloud, including marketing technology, privacy & consent and observability, across web and mobile devices. As an engineer on this team, you can expect a fast-paced environment and a variety of types of projects. Great communication skills are a must! Key Responsibilities: Develop and optimize SQL data models and queries for analytics, reporting, and operational use cases. Design and maintain ETL/ELT workflows using Apache Airflow, ensuring reliability, scalability, and data integrity. Collaborate with analysts and business teams to translate data needs into efficient, automated data pipelines and datasets. Own and enhance data quality and validation processes, ensuring accuracy and completeness of business-critical metrics. Build and maintain reporting layers, supporting dashboards and analytics tools (e.g. Looker, or similar). Troubleshoot and tune SQL performance, optimizing queries and data structures for speed and scalability. Contribute to data architecture decisions, including schema design, partitioning strategies, and workflow scheduling. Mentor junior engineers, advocate for best practices and promote a positive team culture Experience and Background: 7+ years of experience in data engineering, analytics engineering, or similar roles. Expert-level SQL skills, including performance tuning, advanced joins, CTEs, window functions, and analytical query design. Proven experience with Apache Airflow (designing DAGs, scheduling, task dependencies, monitoring, Python). Familiarity with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.) Knowledge of data governance, schema management, and versioning best practices Understanding observability practices: logging, metrics, tracing, and incident response Experience deploying and managing services in cloud environments, preferably GCP, AWS Excellent communication skills and a collaborative mindset. The salary range for this role is $160,000 - $210,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below! About us: We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London) We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone's voice, perspective and experience is respected and heard We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities Benefits: Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources Robust 401k program Employee Equity Plan Generous professional development allowance Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit! Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children Various snacks, goodies, and 2 free lunches weekly when at the office Diversity, Equity and Inclusion at SoundCloud SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what's next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status. At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Data Scientist to join our marketing org. As a Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest's revenue growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand revenue growth and behavior, and define metrics to grow and sustain our advertiser base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Analytics and others. The role is within the Marketing team and would be supporting business marketing efforts focused on driving revenue growth for Pinterest. What you'll do: Lead the design, implementation, and continuous improvement of advanced marketing measurement frameworks and statistical models to quantify marketing ROI. Marketing channels could be different paid media, organic social, email, in person events, webinars, elearning platform etc. Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models-to optimize marketing strategies and enhance audience targeting. Develop and refine attribution methodologies to evaluate the effectiveness of marketing initiatives across multiple channels. Assess the incremental impact of marketing activities using causal inference techniques and testing/experiment frameworks. Conduct deep, strategic analyses to address key business questions, such as how to improve marketing ROI, how to improve marketing budget allocation to optimize the business impact, measuring the impact of marketing in both mature and new markets, identifying opportunities to increase advertiser growth and revenue through marketing initiatives Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership. Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models. What we're looking for: 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems. Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering. Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments. Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems. Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries. Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions. Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely. Experience leading key technical projects. Strong Experimentation background. Statistical rigor. Experience with causal inference projects. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$113,166-$232,988 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we're looking for 4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who's able to partner with cross-functional leadership to quickly turn insights into actions Bachelor's degree in Computer Science, a related field or equivalent experience This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$101,382-$209,296 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders. We deliver industry-vetted courses and career support centered on the needs of first-generation and low-income students. Our students train with senior engineers, intern at top companies, and rise together to become the tech leaders of tomorrow. With 30,000 students and alumni from 700 colleges now working at 2,000 companies, we are reshaping the tech workforce and the industries of the future. About the Role Location: Remote, United States Role Type: Full-Time Reporting to: Lead Data Scientist Compensation: $110,000 to $150,000 per year We're looking for a highly capable and pragmatic Senior Data Engineer who thrives in environments where they can take initiative, wear multiple hats, and turn ambiguity into action. This is a deeply hands-on role for someone eager to help shape our next-generation infrastructure. As the sole data engineer on our team, you will have true ownership over designing the architecture, pipelines, and models that power every critical function at CodePath-from student success analytics to business intelligence to AI-driven personalization. Check out our platform overview. As the first Senior Data Engineer at CodePath, you will: Lead the design and development of a modern, scalable data platform that fuels analytics, data science, and ML Work cross-functionally with engineers, data scientists, and business leaders on high-impact projects Help build the foundation for data systems that directly enable student success, program outcomes, and organizational growth This is a unique opportunity to: Build something new: Be the architect of CodePath's first modern data platform Drive visibility and impact: Partner closely with leadership to deliver insights that shape our strategy Scale CodePath's mission: Ensure our 30,000+ students and alumni are supported with the infrastructure to thrive in the AI-native workforce Every pipeline you build and every model you optimize will ripple across an organization supporting tens of thousands of students, alumni, and partners, making this one of the highest-impact roles you'll find. This is your chance to take full ownership of a greenfield data engineering function-designing, building, and scaling systems that will serve as the backbone of CodePath's future. Key Activities Data Platform & Architecture: Design and maintain a scalable, modern data infrastructure (data warehouses, pipelines, data lakes, analytic products) Pipelines & ETL/ELT: Build and optimize robust data workflows using SQL, dbt, FiveTran and other tools to deliver clean, reliable, and timely data Modeling & Analytics Enablement: Create effective data models to power self-serve analytics, performance reporting, and strategic insights across teams Business Intelligence: Develop and maintain dashboards and reporting tools (Tableau or equivalent) that drive decision-making and clarity on key KPIs Governance & Quality: Establish data quality and governance standards, ensuring stakeholders can trust and act on data Documentation & Maintainability: Document systems, models, and pipelines to support transparency, onboarding, and long-term scalability Cross-Functional Collaboration: Work closely with engineers, data scientists, and business stakeholders to scope, prioritize, and deliver data solutions Strategic Data Leadership: Partner with leadership to define and evolve CodePath's data strategy, ensuring that infrastructure investments align with long-term organizational goals Mentorship & Standards: Establish engineering best practices for data workflows, mentoring future hires and empowering non-technical stakeholders to work confidently with data Key Success Metrics Review and improve existing data models and schemas to support analytical and reporting needs Take ownership of CodePath's ETL pipeline and (BigQuery) data warehouse; develop new data models (using dbt) support evolving data needs across the organization Manage CodePath's Google Cloud Platform infrastructure (CloudRun, BigQuery, App Engine) to support data and dashboardings needs, including owning security/permissions, scalability, and uptime Define a roadmap for data infrastructure that aligns with organizational growth and impact measurement goals Propose and implement innovative solutions to improve data ingestion, processing, and storage Develop and implement metrics to demonstrate that data engineering solutions align with business objectives and strategic goals Qualifications 5+ years of experience in data engineering or similar roles Strong SQL skills and experience building efficient pipelines, including performance tuning Proven ability to work autonomously and deliver outcomes in a fast-changing environment Expertise in building data pipelines end-to-end, from ingestion through transformation to final visualization. Deep understanding of data modeling principles (dimensional modeling, data normalization) Hands-on experience managing cloud data warehouses (BigQuery, Snowflake, Databricks, or Redshift) Proficiency with CodePath's primary data stack, including Postgres, Airbyte, dbt, and Tableau Strong communicator who can make complex analysis clear and actionable for diverse stakeholder Preferable Qualifications Experience developing custom data connectors and integration with platforms like SurveyMonkey, HubSpot, or Airtable Familiarity with data quality frameworks and governance best practices Background in a fast-paced, startup environment with the adaptability to thrive in ambiguity Compensation CodePath has standardized salaries based on the position's level, no matter where you live. For this role, we're hiring for a Senior level position at an annual salary of $110,000 to $150,000. Salary is determined based on your relevant experience and skills as evaluated through our interview process. Full-Time Employee Benefits This is a 100% remote position-work from anywhere in the U.S.! CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance. Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 - Jan 2) Professional Growth: $1,000 annual professional development stipend and home office setup support Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings Pay range $110,000 - $150,000 USD

Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We're actively looking for a hands-on Engineer to focus on MLOps/Data Engineering to build the data and ML platform that powers product decisions and production models. As an MLOps/Data Engineer, you'll report to the Data Science Manager and work closely with both our Data Science and Product teams. You'll architect storage and compute, harden training/inference pipelines, and make our ML code, data workflows, and services reliable, reproducible, observable, and cost-efficient. You'll also set best practices and help scale our platform as Nift grows. Our Mission: Nift's mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded. We are a data-driven, cash-flow-positive company that has experienced 1,111% growth over the last three years. Now, we're scaling to become one of the largest sources for new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growth here. What you will do: Architecture & storage: Design and implement our data storage strategy (warehouse, lake, transactional stores) with scalability, reliability, security, and cost in mind Pipelines & ETL: Build and maintain robust data pipelines (batch/stream), including orchestration, testing, documentation, and SLAs ML platform: Productionize training and inference (batch/real-time), establish CI/CD for models, data/versioning practices, and model governance Feature & model lifecycle: Centralize feature generation (e.g., feature store patterns), manage model registry/metadata, and streamline deployment workflows Observability & quality: Implement monitoring for data quality, drift, model performance/latency, and pipeline health with clear alerting and dashboards Reliability & cost control: Optimize compute/storage (e.g., spot, autoscaling, lifecycle policies) and reduce pipeline fragility Engineering excellence: Refactor research code into reusable components, enforce repo structure, testing, logging, and reproducibility Cross-functional collaboration: Work with DS/Analytics/Engineers to turn prototypes into production systems, provide mentorship and technical guidance Roadmap & standards: Drive the technical vision for ML/data platform capabilities and establish architectural patterns that become team standards What you need: Experience: 5+ years in data engineering/MLOps or related fields, including ownership of data/ML infrastructure for large-scale systems Software engineering strength: Strong coding, debugging, performance analysis, testing, and CI/CD discipline; reproducible builds Cloud & containers: Production experience on AWS, Docker + Kubernetes (EKS/ECS or equivalent) IaC: Terraform or CloudFormation for managed, reviewable environments Data engineering: Expert SQL, data modeling, schema design, modern orchestration (Airflow/Step Functions) and ETL tools ML tooling: MLflow/SageMaker (or similar) with a track record of production ML pipelines Warehouses & lakes: Databricks, Redshift and lake formats (Parquet) Monitoring/observability: Data/ML monitoring (quality, drift, performance) and pipeline alerting Collaboration: Excellent communication, comfortable working with data scientists, analysts, and engineers in a fast-paced startup PySpark/Glue/Dask/Kafka: Experience with large-scale batch/stream processing Analytics platforms: Experience integrating 3rd party data Model serving patterns: Familiarity with real-time endpoints, batch scoring, and feature stores Governance & security: Exposure to model governance/compliance and secure ML operations Mission-oriented: Proactive and self-driven with a strong sense of initiative; takes ownership, goes beyond expectations, and does what's needed to get the job done What you get: Competitive compensation, comprehensive benefits (401K, Medical/Dental/Vision), and we offer all full-time employees the potential to hold company equity Flexible remote work Unlimited Responsible PTO Great opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success

Description A bit about us:PulsePoint is a leading healthcare ad technology company that uses real-world data in real-time to optimize campaign performance and revolutionize health decision-making. Leveraging proprietary datasets and methodology, PulsePoint targets healthcare professionals and patients with an unprecedented level of accuracy-delivering unparalleled results to the clients we serve. The company is now a part of Internet Brands, a KKR portfolio company and owner of WebMD Health Corp.Sr. Data EngineerPulsePoint Data Engineering team plays a key role in our technology company that's experiencing exponential growth. Our data pipeline processes over 80 billion impressions a day (> 20 TB of data, 200 TB uncompressed). This data is used to generate reports, update budgets, and drive our optimization engines. We do all this while running against tight SLAs and provide stats and reports as close to real-time as possible.The most exciting part about working at PulsePoint is the enormous potential for personal and professional growth. We are always seeking new and better tools to help us meet challenges such as adopting proven open-source technologies to make our data infrastructure more nimble, scalable and robust. Some of the cutting-edge technologies we have recently implemented are Kafka, Spark Streaming, Presto, Airflow, and Kubernetes.What you'll be doing: Design, build, and maintain reliable and scalable enterprise-level distributed transactional data processing systems for scaling the existing business and supporting new business initiatives Optimize jobs to utilize Kafka, Hadoop, Presto, Spark, and Kubernetes resources in the most efficient way Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc) Increase accessibility and effectiveness of data (work with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases) Collaborate within a small team with diverse technology backgrounds Provide mentorship and guidance to junior team members Team Responsibilities: Ingest, validate and process internal & third party data Create, maintain and monitor data flows in Python, Spark, Hive, SQL and Presto for consistency, accuracy and lag time Maintain and enhance framework for jobs(primarily aggregate jobs in Spark and Hive) Create different consumers for data in Kafka using Spark Streaming for near time aggregation Tools evaluation Backups/Retention/High Availability/Capacity Planning Review/Approval - DDL for database, Hive Framework jobs and Spark Streaming to make sure they meet our standards Technologies We Use: Python - primary repo language Airflow/Luigi - for job scheduling Docker - Packaged container image with all dependencies Graphite - for monitoring data flows Hive - SQL data warehouse layer for data in HDFS Kafka - distributed commit log storage Kubernetes - Distributed cluster resource manager Presto/Trino - fast parallel data warehouse and data federation layer Spark Streaming - Near time aggregation SQL Server - Reliable OLTP RDBMS Apache Iceberg GCP - BigQuery for performance, Looker for dashboards Requirements 8+ years of data engineering experience Strong skills in and current experience with SQL and Python Strong recent Spark experience (3+ years) Experience working in on-prem environments Hadoop and Hive experience Experience in Scala/Java is a plus (Polyglot programmer preferred!) Proficiency in Linux Strong understanding of RDBMS and query optimization Passion for engineering and computer science around data East Coast U.S. hours 9am-6pm EST; you can work fully remotely Notice period needs to be less than 2 months (or 2 months max) Knowledge and exposure to distributed production systems i.e Hadoop Knowledge and exposure to Cloud migration (AWS/GCP/Azure) is a plus Location: We can hire as FTE in the, U.S., UK and Netherlands We can hire as long-term contractor (independent or B2B) in most other countries Selection Process:1) CodeSignal Online Assessment 2) Initial Screen (30 mins)3) Hiring Manager Interview (45 mins)4) Tech Challenge5) Interview with Sr. Data Engineer (60 mins)6) Team Interviews (90 mins + 3 x 45 mins) + SVP of Engineering (30 mins)7) WebMD Sr. Director, DBA (30 mins) Note that leetcode-style live coding challenges will be involved in the process.WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact. As a Senior Data Engineer on the Graph Analytics team, you will build scalable graph systems that analyze large networks of cryptocurrency transactions. You will collaborate closely with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds. You will leverage distributed databases and graph processors to implement real-time graph algorithms at the multi-blockchain scale. You will collaborate with data science teams to identify opportunities to apply tools and techniques from graph theory to a variety of predictive learning problems. The impact you will have: Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features Understanding and refining TRM's risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs What we're looking for: Your academic background is in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics. You have strong knowledge of algorithm design and data structures, and have experience applying this knowledge towards real-world problems. You have experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases. You have experience converting academic research into products and have worked with research teams that regularly ship new features. You have strong programming experience with Python and SQL. You are an excellent communicator who is skilled at tailoring explanations of complex topics to both technical and non-technical audiences. You are self-motivated. You propose and validate solutions with minimal guidance. You're comfortable working with ambiguity and shaping your own research direction while being accountable for outcomes. You are knowledgeable of basic graph theory concepts. About the Team: Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync. The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency. We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture. We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do. We structure problems and use the 80/20 rule(for many outcomes, roughly 80% of consequences come from 20% of causes) to identify where to direct our razor-sharp focus. Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer. By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact. Learn about TRM Speed in this position: The team received a request from customers to show the running balance for assets tied to an address within the product. They brainstormed to determine the minimal viable solution that could be delivered within two weeks. The team decided to develop a framework that would facilitate enabling this feature for each chain (such as BTC, ETH, etc.) individually. They successfully implemented and tested this solution for the BTC chain and delivered it to customers within the two-week timeframe. This approach allowed the team to quickly provide value to customers and establish a repeatable process. The team was tasked with implementing a new feature that would enable TRM to gather feedback from the user community swiftly. Due to the company's goal of showcasing the feature at an upcoming event, the timeline was tight. The team quickly adjusted to the request, assessed the requirements, and developed a solution that addressed 80% of the needs and could be executed within a very short timeframe. They successfully delivered the feature on schedule, impressing customers with both the functionality and the speed of execution. The team was tasked with developing a solution to reveal Indirect Exposure through cross-chain swaps in response to a competitor's similar feature. Before choosing the technical approach, the team consulted with stakeholders to establish a feasible timeline for the implementation. With this input, the team devised a solution that fit the timeline, communicated the tradeoffs to stakeholders, and successfully delivered the solution as promised. About TRM's Engineering Levels: Engineer: Responsible for helping to define project milestones and executing small decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing. Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing. Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor. Life at TRM Labs Leadership Principles Our Leadership Principles shape everything we do-how we make decisions, collaborate, and operate day to day. Impact-Oriented Trailblazer - We put customers first, driving for speed, focus, and adaptability. Master Craftsperson - We prioritize speed, high standards, and distributed ownership. Inspiring Colleague - We value humility, candor, and a one-team mindset. Accelerate your Career At TRM, you'll do work that matters-disrupting terrorist networks, recovering stolen funds, and protecting people around the world. You will: Work alongside top experts and learn every day. Embrace a growth mindset with development opportunities tailored to your role. Take on high-impact challenges in a fast-paced, collaborative environment. Thrive in a culture of coaching, where feedback is fast, direct, and built to help you level up. What to Expect at TRM TRM moves fast- really fast . We know a lot of startups say that, but we mean it. We operate with urgency, ownership, and high standards. As a result, you'll be joining a team that's highly engaged, mission-driven, and constantly evolving. To support this intensity, we're also intentional about rest and recharge. We offer generous benefits, including PTO, Holidays, and Parental Leave for full time employees. That said, TRM may not be the right fit for everyone. If you're optimizing for work life balance, we encourage you to: Ask your interviewers how they personally approach balance within their teams, and Reflect on whether this is the right season in your life to join a high-velocity environment. Be honest with yourself about what energizes you-and what drains you We're upfront about this because we want every new team member to thrive-not just survive. The Stakes Are Real Our work has direct, real-world impact: Jumping online after hours to support urgent government requests tracing ransomware payments. Delivering actionable insights during terrorist financing investigations. Collaborating across time zones in real time during a major global hack. Building new processes in days, not weeks, to stop criminals before they cash out. Analyzing blockchain data to recover stolen savings and dismantle trafficking networks. Thrive as a Global Team As a remote-first company, TRM Labs is built for global collaboration. We cultivate a strong remote culture through clear communication, thorough documentation, and meaningful relationships. We invest in offsites, regional meetups, virtual coffee chats, and onboarding buddies to foster collaboration. By prioritizing trust and belonging, we harness the strengths of a global team while staying aligned with our mission and values. Join our mission! We're looking for team members who thrive in fast-paced, high-impact environments and love building from the ground up. TRM is remote-first, with an exceptionally talented global team. If you enjoy solving tough problems and seeing your work make a difference for billions of people, we want you here. Don't worry if your experience doesn't perfectly match a job description- we value passion, problem-solving, and unique career paths. If you're excited about TRM's mission, we want to hear from you. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. Privacy Policy By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the TRM Privacy Policy Learn More: Company Values | Interviewing | FAQs

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. What you'll do Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale. Lead the full modeling lifecycle end to end: problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring/drift detection, and explainability. Set the forecasting technical vision. Define model architectures and standards, and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models. Translate forecasts into decisions. Present outputs, scenario analyses, and recommendation frameworks to senior leadership with clarity and brevity. This is a high‑visibility role with regular VP-level exposure. Drive broader time‑series impact beyond point forecasts-e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning signals for business health. Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning. Lead and mentor. Guide the work of at least two data scientists, raising the bar on technical quality, execution, and impact through candid, continuous feedback and coaching. What we're looking for 8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data. A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing decision-making. Strong background in time‑series modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred. Expertise in at least one scripting language (ideally Python). Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g., Airflow). Business acumen and ownership mindset-able to simplify complex problems, connect model outputs to business levers, and prioritize for impact. Excellent communication skills-able to distill complex analyses and uncertainty into concise narratives for executive audiences. Proven technical leadership-success leading critical projects and materially influencing the scope and output of other contributors. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,064-$335,720 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Curation is a strategic initiative at the heart of the Pinner experience that enables pinners to create a life they love by discovering and curating their own taste. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems that deliver both utility and delight to our Pinners. We are looking for a Staff Data Scientist with strong product sense, good product taste, and machine learning and statistics to help advance Curation at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner, and you will work on cutting edge zero to one product bets. You will work in a highly collaborative environment, and be responsible for partnering with a diverse set of cross-functional partners across Product, Engineering, Design, Research, and more. You are expected to develop a deep understanding of Pinterest Trends, Pinner Needs, our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation. What you'll do: Build a deeper understanding of our Pinterest Curation ecosystem; understanding and quantifying the opportunities and Pinner needs around boards, trends, collages, and more. Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations. Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process. Mentor and up-level junior data scientists on the team. What we're looking for: 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Strong interest and experience in recommendation systems and causal inference Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark) Ability to work independently and drive your own projects Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners A team player eager to partner with cross-functional partners to quickly turn insights into actions Bachelor's/Master's degree in a relevant field such as computer science, or equivalent experience. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,064-$335,720 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you'll do Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks. Lead projects on: Tradeoffs between organic engagement and advertising. Deep dives on how engagement metrics impact monetization and retention. Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes. Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries. Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference. Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact. Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights. Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence. What we're looking for 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics. Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark. Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems. Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes. Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences. Track record mentoring and growing data talent at the staff/senior IC level. Cross-functional leadership and the ability to align competing interests towards shared goals. Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences). In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$163,064-$335,720 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Shutterstock, Inc. seeks a Data Engineer, Analytics in New York, NY to collaborate with BI analysts and stakeholders to define requirements and deliver scalable solutions. Requires a Master's degree in Information Systems, Computer Science, or related field or equivalent and three (3) years of experience creating measurable online and offline campaign cross-channel marketing campaign objectives and key performance indicators; refining suggested test and learn agendas, key KPIs, and performance targets to define cross-channel marketing campaign success; supporting analytical MMM & MTA vendor relationships, including sourcing data inputs, model refreshes and data integrations to power attribution models; conducting cross-channel media efficiency analysis and scenario planning including budget recommendations, allocation and forecasting impacts of marketing investment redistribution; handling input and export of data, running marketing performance reports, and building dashboard output; creating MMM & MTA measurement strategy, securing cross-team alignment and adoption; analyzing data using marketing vendor interfaces and analytics tools (SQL, Tableau, Google Analytics, and Adobe Analytics) to evaluate existing and potential online marketing programs; developing and delivering periodic performance reporting on marketing program performance to leadership; performing dimensional modeling, data warehouse design, building ETL/ELT pipelines, and end-to-end analytics solutions using Airflow, FiveTran, DBT, and Montecarlo; developing and maintaining CI/CD pipelines and version control using Github Action; performing software and API development using Python; and in executing duties, utilizing SQL (Snowflake) and AWS (S3). Telecommuting and/or working from home may be permissible pursuant to company policies. Salary Range: $142,910.22 - $155,000.00/year. Shutterstock Values We are one team collectively focused on creating an unrivaled experience for our Customers and Contributors. Our Values represent the mindset of the employee who will thrive at Shutterstock. If you are passionate about what you do, and want to become part of a cutting-edge technology company building industry leading products, please apply. Shutterstock is an Equal Opportunity Employer. Suitably qualified and eligible candidates are encouraged to apply regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. Shutterstock ensures that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accommodation_************************.

SAP Data Engineer is responsible for the technical design, development, and implementation of data integration, warehousing, and analytics solutions within the SAP Datasphere platform, ensuring data quality, alignment with business requirements, and acting as a technical expert on data modeling, transformation, and data virtualization within the Datasphere environment. Responsibilities Define the overall technical architecture for data ingestion, transformation, and consumption within SAP Datasphere, considering data sources, data quality standards, and performance requirements Design complex data models in Datasphere Develop and configure data integration flows, data quality checks, and data cleansing routines within Datasphere Collaborate with business stakeholders to understand data requirements, translate them into technical specifications, and ensure alignment with business objectives Gather data governance requirements and implement data security measures within Datasphere Monitor data pipelines and identify performance bottlenecks, optimizing data processing and query performance within Datasphere Implement data quality checks and monitoring mechanisms to ensure data accuracy and consistency Partner with Accounting and Operations teams to design and implement data models and views in SAP Datasphere to enable accurate, real-time reporting Education and Experience B.S Computer Science or similar Minimum 5 years of experience in a similar role Experience in S4/HANA and Datasphere integration, creating and managing CDS views Skilled with reporting visualization tools such as Power BI, SAC and Analysis for Office Proficiency in Data Modeling, Database Performance Tuning, SAP Datasphere, SAP HANA DB, SQL Background in SAP BW4/Hana, SAP BW Administration, SAP BW Modeling, SAP BW Reporting Capability to work with different connections to multiple sources and handle SLT Replications Strong technical understanding and previous experience with Data Warehouse tool Knowledge of Java or Python is a plus Basic proficiency in Accounting and Finance concepts. High proficiency in English language; strong communications skills Company Highlights: For 90 years, we have nurtured creative ideas and turned them into successful realities using three core strategic pillars - creativity, excellence, and people. 401K - 12% employer contribution with no vesting period (6% Match and 6% non-matching contribution) Highly competitive compensation Hybrid work options available for most roles Five to eight weeks of PTO annually based on years of experience; eleven additional holidays per calendar year All Medical/Dental/Vision benefits start day one with the company; low employee premiums Education Assistance Program Free covered employee parking for Dallas HQ based employees Free specialty coffee bar in the Dallas HQ Onsite breakfast and lunch area in the Dallas HQ Commitment to the following ideals: Work/Life Balance Ongoing professional development opportunities An exceptional employee experience Hunt is committed to a diverse and inclusive workplace. Hunt is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #LI-HYBRID #LI-huntenergy

Meet Upside: We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail-profit measurement, attribution, and incrementality-to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We've helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives. About the role: We're looking for a Staff Data Engineer to serve as a technical leader on the Analytics Engineering team. In this role, you'll drive the design and implementation of foundational data products and analytics platform capabilities that power Upside's most critical product and business use cases. You'll lead cross-functional workstreams, shape patterns and architecture across teams, and elevate the overall quality and impact of data work at Upside. This role is ideal for someone who enjoys deep technical problem-solving, cares about quality and long-term maintainability, and is motivated by helping others work more effectively with data. Here are some ways we have seen analytics engineers drive impact at Upside: * Design and deliver highly complex, domain-critical data products used by analysts, data scientists, and product teams to unlock new product features, ML models, and strategic decisions. * Architect scalable, extensible patterns for modeling, orchestration, and data transformation-balancing flexibility, reusability, and cost-efficiency. * Own platform evolution projects such as migrating the data platform to Snowflake Semantic Views, extending Cortex, or improving orchestration tooling for analytics workflows. * Lead technical planning and delivery across cross-functional teams, breaking down complex data initiatives into scoped, sequenced workstreams implemented by you and others. * Drive platform adoption and best practices, mentoring other engineers, building internal documentation and tooling, and raising the overall bar for analytics engineering across the company. * Influence upstream and downstream teams, partnering with engineering, product, data science, and business stakeholders to align on requirements and deliver end-to-end solutions. * Represent Analytics Engineering in technical design forums and contribute to roadmap discussions that shape the future of data at Upside. Why You Should Apply This role is a good fit for you if: * You aren't afraid to challenge the status quo when it makes the team and business better. You learn from those around you while utilizing data to advocate for informed change. * You thrive at the intersection of systems and storytelling, not only building robust solutions but also communicating their purpose, impact and rationale, so teams can experiment, iterate, and act confidently. * You care about building resilient systems that scale. You bring a mindset of continuous improvement, and know when to invest in observability, automation, or new infrastructure to reduce toil and improve outcomes for the team and end users. * You believe that pulling quality upstream starts with engineering. You champion best practices, encourage early testing and validation, and work closely with peers to build a culture of quality from the ground up. Ideal Qualifications * Have 6+ years of experience in data or analytics engineering, with a track record of owning complex, business-critical data systems end to end. * Have deep expertise in SQL and Python, particularly for transforming, testing, and orchestrating very large datasets. * Are fluent with platforms like AWS, Snowflake, dbt, and Dagster, and can design extensible patterns to be used across teams. * Experience with DevOps practices (e.g., CI/CD for data), data governance, or FinOps (cost-conscious design). * Can break down ambiguous, cross-functional data problems and lead the implementation from design to deployment, collaborating across technical and non-technical teams. * Proactively identify opportunities to improve the analytics platform and are comfortable designing and implementing impactful, reusable solutions. * Communicate clearly across audiences, from engineers and analysts to product managers and business leaders. * Understand how to balance business value, maintainability, and platform standards in your design decisions. * Are excited about the opportunity to mentor others, set standards, and leave systems better than you found them. Preferred Qualifications * Experience supporting machine learning workflows, such as building features or monitoring model inputs and outputs. * Familiarity with DevOps practices (e.g., CI/CD for data), data governance, or FinOps (cost-conscious design). * Experience working in a fast-growing startup environment or on platform-style teams that serve internal customers. Engineering Culture: We want our engineers to have the time and support to grow in their craft and contribute meaningfully to impactful technical decisions. Engineers are encouraged to focus deeply on their work, collaborate effectively with team members, and continuously develop their skills. Teams are thoughtfully staffed to create a dynamic and diverse environment that enhances learning and innovation. Location: This hybrid role is based in our Austin, Chicago, DC, or NYC office. In-office attendance is required on Monday, Tuesday, and Thursday and may increase based on project-based needs and changes to Upside's in-office policy over time. Compensation: The US base salary range for this full-time position is $215,000 - $250,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process. Benefits: * Medical, dental, and vision coverage starting on Day 1 * Equity (ISOs) * 401(k) program * Family planning programs + paid parental leave * Physical fitness and wellness memberships * Emotional and mental health support programs * Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break * Flexible work environment * Lunch reimbursement for in-office employees * Employee Resource Groups * Learning and Development stipend * Transparent culture * Amazing mission! Diversity and Inclusion: Diversity drives innovation, and our differences make us stronger. We're passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here! If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com. This email is for accessibility accommodations only, it should not be used to submit job applications. Notice To Recruiters And Placement Agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

Meet Upside: We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail-profit measurement, attribution, and incrementality-to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We've helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives. About the role: We're looking for a Staff Data Engineer to serve as a technical leader on the Analytics Engineering team. In this role, you'll drive the design and implementation of foundational data products and analytics platform capabilities that power Upside's most critical product and business use cases. You'll lead cross-functional workstreams, shape patterns and architecture across teams, and elevate the overall quality and impact of data work at Upside. This role is ideal for someone who enjoys deep technical problem-solving, cares about quality and long-term maintainability, and is motivated by helping others work more effectively with data. Here are some ways we have seen analytics engineers drive impact at Upside: Design and deliver highly complex, domain-critical data products used by analysts, data scientists, and product teams to unlock new product features, ML models, and strategic decisions. Architect scalable, extensible patterns for modeling, orchestration, and data transformation-balancing flexibility, reusability, and cost-efficiency. Own platform evolution projects such as migrating the data platform to Snowflake Semantic Views, extending Cortex, or improving orchestration tooling for analytics workflows. Lead technical planning and delivery across cross-functional teams, breaking down complex data initiatives into scoped, sequenced workstreams implemented by you and others. Drive platform adoption and best practices, mentoring other engineers, building internal documentation and tooling, and raising the overall bar for analytics engineering across the company. Influence upstream and downstream teams, partnering with engineering, product, data science, and business stakeholders to align on requirements and deliver end-to-end solutions. Represent Analytics Engineering in technical design forums and contribute to roadmap discussions that shape the future of data at Upside. Why You Should Apply This role is a good fit for you if: You aren't afraid to challenge the status quo when it makes the team and business better. You learn from those around you while utilizing data to advocate for informed change. You thrive at the intersection of systems and storytelling, not only building robust solutions but also communicating their purpose, impact and rationale, so teams can experiment, iterate, and act confidently. You care about building resilient systems that scale. You bring a mindset of continuous improvement, and know when to invest in observability, automation, or new infrastructure to reduce toil and improve outcomes for the team and end users. You believe that pulling quality upstream starts with engineering. You champion best practices, encourage early testing and validation, and work closely with peers to build a culture of quality from the ground up. Ideal Qualifications Have 6+ years of experience in data or analytics engineering, with a track record of owning complex, business-critical data systems end to end. Have deep expertise in SQL and Python, particularly for transforming, testing, and orchestrating very large datasets. Are fluent with platforms like AWS, Snowflake, dbt, and Dagster, and can design extensible patterns to be used across teams. Experience with DevOps practices (e.g., CI/CD for data), data governance, or FinOps (cost-conscious design). Can break down ambiguous, cross-functional data problems and lead the implementation from design to deployment, collaborating across technical and non-technical teams. Proactively identify opportunities to improve the analytics platform and are comfortable designing and implementing impactful, reusable solutions. Communicate clearly across audiences, from engineers and analysts to product managers and business leaders. Understand how to balance business value, maintainability, and platform standards in your design decisions. Are excited about the opportunity to mentor others, set standards, and leave systems better than you found them. Preferred Qualifications Experience supporting machine learning workflows, such as building features or monitoring model inputs and outputs. Familiarity with DevOps practices (e.g., CI/CD for data), data governance, or FinOps (cost-conscious design). Experience working in a fast-growing startup environment or on platform-style teams that serve internal customers. Engineering Culture: We want our engineers to have the time and support to grow in their craft and contribute meaningfully to impactful technical decisions. Engineers are encouraged to focus deeply on their work, collaborate effectively with team members, and continuously develop their skills. Teams are thoughtfully staffed to create a dynamic and diverse environment that enhances learning and innovation. Location: This hybrid role is based in our Austin, Chicago, DC, or NYC office. In-office attendance is required on Monday, Tuesday, and Thursday and may increase based on project-based needs and changes to Upside's in-office policy over time. Compensation: The US base salary range for this full-time position is $215,000 - $250,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process. Benefits: Medical, dental, and vision coverage starting on Day 1 Equity (ISOs) 401(k) program Family planning programs + paid parental leave Physical fitness and wellness memberships Emotional and mental health support programs Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break Flexible work environment Lunch reimbursement for in-office employees Employee Resource Groups Learning and Development stipend Transparent culture Amazing mission! Diversity and Inclusion: Diversity drives innovation, and our differences make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here! If there's anything we can do to support a disability or special need during your application or interview process, please email accommodations@upside.com. This email is for accessibility accommodations only, it should not be used to submit job applications. Notice To Recruiters And Placement Agencies: This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our data team's mission is to fuel Airtable's growth and operations. We are a strategic enabler, by building high-quality and customer-centric data products and solutions. We are looking for a Data Scientist to work directly with Airtable's business stakeholders. Your data product will be instrumental in accelerating the efficiency of Customer Engagement (CE) organizations including sales, CSG and revenue operations teams. This role offers the opportunity to significantly impact Airtable's strategy and go-to-market execution, providing you with a platform to deploy your data skills in a way that directly contributes to our company's growth and success. What you'll do Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices. Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.. Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight. Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products. Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization. Who you are Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred. Industry Experience: 4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders. Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR) Familiar with CRM platforms (i.e., Salesforce) Technical Proficiency: 6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery 6+ years of experience working with Python or R for analytics or data science projects 6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc. Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design Hands-on experience with batch LLM pipeline is preferred Excellent communication skills to present findings to both technical and non-technical audiences. Passionate to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$179,500-$221,500 USDFor all other work locations (including remote), the base salary range for this role is:$161,500-$199,300 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable is seeking a product-focused Data Scientist to join our Analytics & Data Science team. In this high-impact role, you'll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable's self-serve business. You'll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making. This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. What you'll do Own and maintain core product data pipelines across DBT, Looker, and Omni, ensuring reliability, scalability, and minimal downtime Build and refine dashboards that deliver self-serve, real-time insights for high-priority product areas Lead the development and delivery of company-wide strategic insights that connect user behavior patterns and inform executive decisions Partner with product and engineering teams to define tracking requirements, implement instrumentation, validate data, and deliver launch-specific dashboards or reports Establish trusted partnerships with product managers, engineers, analysts, and leadership as the go-to resource for product data insights and technical guidance Collaborate with leadership to define the analytics roadmap, prioritize high-impact initiatives, and assess resource needs for scaling product analytics capabilities Mentor junior team members and cross-functional partners on analytics best practices and data interpretation; create documentation and training materials to scale institutional knowledge Support end-to-end analytics for all product launches, including tracking implementation, validation, and post-launch reporting with documented impact measurements Deliver comprehensive strategic analyses or experiments that connect user behavior patterns and identify new growth opportunities Lead or participate in cross-functional projects where data science contributions directly influence product or strategy decisions Migrate engineering team dashboards to Omni or Databricks, enabling self-serve analytics Who you are Bachelor's degree in computer science, data science, mathematics/statistics, or related field 6+ years of experience as a data scientist, data analyst, or data engineer Experience supporting product development teams and driving product growth insight Background in SaaS, consumer tech, or data-driven product environments preferred Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery); sets standards and mentors others on best practices Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode) Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels) Proven ability to apply AI/ML tools - from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot) Strong statistical foundation; designs and scales experimentation practices that influence product strategy and culture Translates ambiguous business questions into structured analyses, guiding teams toward actionable insights Provides thought leadership on user funnels, retention, and growth analytics Ensures data quality, reliability, and consistency across critical business reporting and analytics workflows Experience at an AI-native company, with exposure to building or scaling products powered by AI Knowledge of product analytics tracking frameworks (e.g., Segment, Amplitude, Mixpanel, GA4) and expertise in event taxonomy design Strong documentation and knowledge-sharing skills; adept at creating technical guides, playbooks, and resources that scale team effectiveness Models curiosity, creativity, and a learner's mindset; thrives in ambiguity and inspires others to do the same Crafts compelling narratives with data, aligning stakeholders at all levels and driving clarity in decision-making Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$205,200-$266,300 USDFor all other work locations (including remote), the base salary range for this role is:$185,300-$240,000 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.