Data Engineer jobs at EnsoData

Our client, a well-funded and successful Series B Health tech startup is searching for a Senior/Lead Software Engineer to help them build a brand new service line to add to their existing product. This is an incredibly impactful role with the chance to build a product from 0-1, & also help connect patients with life-saving clinical trials and programs! This is a hybrid role near Bryant Park in NYC - please take this into consideration when applying. They do have a dog friendly office & unlimited PTO! Responsibilities: Create a brand new software product using Node, Typescript & React Lead the entire build from design to deployment - working with a small team of developers Hands on code, as well as lead code reviews & translate requirements into roadmaps and deliverables Collaborate with GM, Director of Product and engineering team Qualifications: 6+ years of Full-stack engineering experience in Typescript, Node, & React or Next.js Experience building products from 0-1 in small teams This is a hands on coding role - some engineering leadership is great, but this person will not be a "people manager" High agency worker who thrives in autonomous environments - must be comfortable owning and managing technical roadmaps Experience designing and scaling microservices architectures in AWS, GCP, Azure Experience in Health tech is a huge plus - especially familiarity with EHR integrations Compensation for this role ranges from $190-220k + potential bonus/equity. If you are interested, please apply! This opportunity unfortunately cannot sponsor visas at this time.

About the Staff Data Scientist role at Headspace: We are looking for an experienced and strategic Staff Data Scientist to join our Data team. In this role, you will lead the measurement and delivery of insights and actionable recommendations that drive performance improvements in key areas such as enrollment, activation, engagement, retention, and member outcomes. You will conduct statistical analysis and develop data science solutions to drive data-driven decision making across marketing, product, content across channels. As a senior leader, you will work closely with cross-functional partners, including Engineering, Product Design, Product Management, Product Marketing, and Operations, to influence the planning, development, launch, and growth of our Channel offerings. This is a highly visible role that requires exceptional analytical expertise, strategic thinking, and the ability to translate business priorities into impactful analytics initiatives. By driving data-driven decision-making, you will play a pivotal role in helping us achieve our mission of providing everyone with access to lifelong mental health support. Location: We are currently hiring this role in the following locations: Hybrid in our San Francisco office, working 3 days per work from the office Remotely in New York City, New York Remotely in Seattle, Washington Candidates must currently permanently reside in the US full-time and be based in these specific cities. What you will do: Strategic Leadership: Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities. Cross-Functional Partnership: Provide thought leadership by collaborating with cross-functional teams to translate complex business problems into scalable analytical frameworks. Recommend and implement actionable insights that drive measurable results. Analytical Expertise: Serve as the organization's subject matter expert on advanced statistical analysis, experimental design, data science approaches, and financial impact analysis, ensuring best practices are followed. Problem Solving: Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies. Process Automation: Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency. Data Products Development: Lead the development of high-quality data product requirements, dashboard scopes, and automated reporting solutions. Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders. Visionary Collaboration: Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks. Project Ownership: Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact. What you will bring: Required Skills: 8+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments. 6+ years of experience working directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals. 8+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization. 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact. 4+ years of progressive experience in healthcare analytics (preferred).8+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark). Advanced skills in SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel. Required expertise in SQL, Python, Looker, Tableau, Statistics, and Amplitude for event-based deep dives and advanced analytics. Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field. Location: We are currently hiring this role Hybrid for San Francisco (SF). Candidates must permanently reside in the US full-time. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team-one that's redefining how mental health care supports people today and for generations to come. Why You'll Love Working Here: A mission that matters-with impact you can see and feel A culture that's collaborative, inclusive, and grounded in our values The chance to shape what mental health care looks like next Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the E-Verify Program . Privacy Statement All member records are protected according to our . Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship-including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: ****************************************** #LI-HYBRID

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations-from startups to Fortune 500 enterprises in 60+ countries-rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Starburst is looking for an experienced Data Engineer to build and enhance internal usage, telemetry, and product data analytics for both Starburst Enterprise and Starburst Galaxy. This role focuses on using our own software to better understand our customers and how they use our products. In addition, since data engineers are one of our key target personas, you will be able to provide valuable feedback to our teams as you use the products, in terms of performance, user experience, and integration with the larger data engineering ecosystem. You'll work closely with our dynamic, talented, global engineers while emphasizing quality and speed to insights. As a Staff Data Engineer at Starburst you will: Build and manage a high quality data lake to support various aspects of Startburst's business, including product management, finance, customer support, and engineering. Find innovative ways to use Trino and Starburst to solve data management challenges Collaborate with technical leads, product managers and data analysts to build robust data products and analytics Leverage AI to democratize access to datasets for users throughout Starburst. Enable dataset preparation and model evaluation for Starbursts' AI projects Define and adapt data engineering processes and best practices to focus on execution and getting reliable answers to important business questions Work closely with leaders from other teams and departments to iterate on both data architecture and design of data solutions, focusing on high-quality results accessible at several levels Envision innovative approaches to data management and work with Starburst's product teams to bring those innovations to market. Some of the things we look for: At least 7 years of data engineering experience, and a clear passion for data and analytics Enthusiasm for working both independently and collaboratively with strong, diverse, high-performing teams to get value and insights from data Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks. Experience managing data infrastructure in public clouds. Experience using and managing orchestration frameworks such as Apache Airflow or Dagster. Knowledge of RAG and other design patterns for AI applications Fluency in SQL Experience building API integrations for extracting data from third party sources. Excellent coding ability in Java, Python or Scala. Knowledge of data modelling techniques which are appropriate for modern data lakes Experience with a variety of AWS services such as EMR, EC2, S3, and IAM. Multi-cloud experience (GCP/Azure) is also nice to have. Able to use Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible. Demonstrable experience in delivering value and hitting deadlines consistently Has disciplined software engineering practices, including high code quality, extensive automated testing, and rigorous code review Highly proficient in both written and verbal communication, coupled with strong organizational abilities Ability to Travel: This role will require occasional in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs. Where could this role be based? This role is based in our Boston offices and follows a hybrid model, with an expectation of being onsite 1-2 days per week. Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range$190,000-$250,000 USDBuild your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we're empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry - and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About Starburst Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations-from startups to Fortune 500 enterprises in 60+ countries-rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI. About the role Starburst is looking for an experienced Data Engineer to build and enhance internal usage, telemetry, and product data analytics for both Starburst Enterprise and Starburst Galaxy. This role focuses on using our own software to better understand our customers and how they use our products. In addition, since data engineers are one of our key target personas, you will be able to provide valuable feedback to our teams as you use the products, in terms of performance, user experience, and integration with the larger data engineering ecosystem. You'll work closely with our dynamic, talented, global engineers while emphasizing quality and speed to insights. As a Staff Data Engineer at Starburst you will: * Build and manage a high quality data lake to support various aspects of Startburst's business, including product management, finance, customer support, and engineering. * Find innovative ways to use Trino and Starburst to solve data management challenges * Collaborate with technical leads, product managers and data analysts to build robust data products and analytics * Leverage AI to democratize access to datasets for users throughout Starburst. * Enable dataset preparation and model evaluation for Starbursts' AI projects * Define and adapt data engineering processes and best practices to focus on execution and getting reliable answers to important business questions * Work closely with leaders from other teams and departments to iterate on both data architecture and design of data solutions, focusing on high-quality results accessible at several levels * Envision innovative approaches to data management and work with Starburst's product teams to bring those innovations to market. Some of the things we look for: * At least 7 years of data engineering experience, and a clear passion for data and analytics * Enthusiasm for working both independently and collaboratively with strong, diverse, high-performing teams to get value and insights from data * Experience building and optimizing data pipelines using Trino, Spark, dbt, and related frameworks. * Experience managing data infrastructure in public clouds. * Experience using and managing orchestration frameworks such as Apache Airflow or Dagster. * Knowledge of RAG and other design patterns for AI applications * Fluency in SQL * Experience building API integrations for extracting data from third party sources. * Excellent coding ability in Java, Python or Scala. * Knowledge of data modelling techniques which are appropriate for modern data lakes * Experience with a variety of AWS services such as EMR, EC2, S3, and IAM. Multi-cloud experience (GCP/Azure) is also nice to have. * Able to use Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible. * Demonstrable experience in delivering value and hitting deadlines consistently * Has disciplined software engineering practices, including high code quality, extensive automated testing, and rigorous code review * Highly proficient in both written and verbal communication, coupled with strong organizational abilities * Ability to Travel: This role will require occasional in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs. Where could this role be based? This role is based in our Boston offices and follows a hybrid model, with an expectation of being onsite 1-2 days per week. Starburst is dedicated to maintaining fair and equitable compensation practices. The salary range provided for this role reflects the minimum and maximum targets for candidates across all U.S. locations and could be inclusive of variable compensation, such as commission or bonus. All employees receive equity packages (ISOs) and have access to a comprehensive benefits offering. Actual compensation packages are determined based on relevant skills, experience, education and training, and specific work location. For more information, connect with the recruiting team or Hiring Manager during the process as they can provide more detailed information about the salary range. Pay Range $190,000 - $250,000 USD Build your career at Starburst All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we're empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry - and the future. Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more. We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically. Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Create a Job Alert Interested in building your career at Starburst? Get future opportunities sent straight to your email. Create alert

Come Find Your Spark at Quartz! The ETL Architect will be responsible for the architecture, design, and implementation of data integration solutions and pipelines for the organization. This position will partner with multiple areas in the Enterprise Data Management team and the business to successfully translate business requirements into efficient and effective ETL implementations. This role will perform functional analysis, determining the appropriate data acquisition and ingestion methods, and design processes to populate various data platform layers. The ETL Architect will work with implementation stakeholders throughout the business to evaluate the state of data and constructs solutions that deliver data to enable analytics reporting capabilities in a reliable manner. Skills this position will utilize on a regular basis: Informatica PowerCenter Expert knowledge of SQL development Python Benefits: Opportunity to work with leading technology in the ever-changing, fast paced healthcare industry. Opportunity to work across the organization interacting with business stakeholders. Starting salary range based upon skills and experience: $107,500 - $134,400 - plus robust benefits package. Responsibilities Architects, designs, enhances, and supports delivery of ETL solutions. Architects and designs data acquisition, ingestion, transformation, and load solutions. Identifies, develops, and documents ETL solution requirements to meet business needs. Facilitates group discussions and joins solution design sessions with technical subject matter experts. Develops, implements, and maintains standards and ETL design procedures. Contributes to the design of the data models, data flows, transformation specifications, and processing schedules. Coordinates ETL solution delivery and supports data analysis and information delivery staff in the design, development, and maintenance of data implementations. Consults and provides direction on ETL architecture and the implementation of ETL solutions. Queries, analyzes, and interprets complex data stored in the systems of record, enterprise data warehouse, and data marts. Ensures work includes necessary audit, HIPAA compliance, and security controls. Data Management Collaborates with infrastructure and platform administrators to establish and maintain scalable and reliable data processing environment for the organization. Identifies and triages data quality and performance issues from the ETL perspective and see them through to resolution. Tests and validates components of the ETL solutions to ensure successful end-to-end delivery. Participates in support rotation. Qualifications Bachelor's degree with 8+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP (Online Transaction Processing) environments, semantic layer modeling experience, and SQL programming experience. OR associate degree with 11+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP environments, semantic layer modeling experience, and SQL programming experience. OR high school equivalence with 14+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP environments, semantic layer modeling experience, and SQL programming experience. Expert understanding of ETL concepts and commercially available enterprise data integration platforms (Informatica PowerCenter, Python) Expert knowledge of SQL development Expert knowledge of data warehousing concepts, design principles, associated data management and delivery requirements, and best practices Expert problem solving and analytical skills Ability to understand and communicate data management and integration concepts within IT and to the business and effectively interact with all internal and external parties including vendors and contractors Ability to manage multiple projects simultaneously Ability to work independently, under pressure, and be adaptable to change Inquisitive and seek answers to questions without being asked Hardware and equipment will be provided by the company, but candidates must have access to high-speed, non-satellite Internet to successfully work from home. We offer an excellent benefit and compensation package, opportunity for career advancement and a professional culture built on the foundations of Respect, Responsibility, Resourcefulness and Relationships. To support a safe work environment, all employment offers are contingent upon successful completion of a pre-employment criminal background check. Quartz values and embraces diversity and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified person with disability.

Come Find Your Spark at Quartz! The ETL Architect will be responsible for the architecture, design, and implementation of data integration solutions and pipelines for the organization. This position will partner with multiple areas in the Enterprise Data Management team and the business to successfully translate business requirements into efficient and effective ETL implementations. This role will perform functional analysis, determining the appropriate data acquisition and ingestion methods, and design processes to populate various data platform layers. The ETL Architect will work with implementation stakeholders throughout the business to evaluate the state of data and constructs solutions that deliver data to enable analytics reporting capabilities in a reliable manner. Skills this position will utilize on a regular basis: Informatica PowerCenter Expert knowledge of SQL development Python Benefits: Opportunity to work with leading technology in the ever-changing, fast paced healthcare industry. Opportunity to work across the organization interacting with business stakeholders. Starting salary range based upon skills and experience: $107,500 - $134,400 - plus robust benefits package. Responsibilities Architects, designs, enhances, and supports delivery of ETL solutions. Architects and designs data acquisition, ingestion, transformation, and load solutions. Identifies, develops, and documents ETL solution requirements to meet business needs. Facilitates group discussions and joins solution design sessions with technical subject matter experts. Develops, implements, and maintains standards and ETL design procedures. Contributes to the design of the data models, data flows, transformation specifications, and processing schedules. Coordinates ETL solution delivery and supports data analysis and information delivery staff in the design, development, and maintenance of data implementations. Consults and provides direction on ETL architecture and the implementation of ETL solutions. Queries, analyzes, and interprets complex data stored in the systems of record, enterprise data warehouse, and data marts. Ensures work includes necessary audit, HIPAA compliance, and security controls. Data Management Collaborates with infrastructure and platform administrators to establish and maintain scalable and reliable data processing environment for the organization. Identifies and triages data quality and performance issues from the ETL perspective and see them through to resolution. Tests and validates components of the ETL solutions to ensure successful end-to-end delivery. Participates in support rotation. Qualifications Bachelor's degree with 8+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP (Online Transaction Processing) environments, semantic layer modeling experience, and SQL programming experience. OR associate degree with 11+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP environments, semantic layer modeling experience, and SQL programming experience. OR high school equivalence with 14+ years of experience translating business requirements into business intelligence solutions, data visualization, and analytics solution design and development experience in a data warehouse and OLTP environments, semantic layer modeling experience, and SQL programming experience. Expert understanding of ETL concepts and commercially available enterprise data integration platforms (Informatica PowerCenter, Python) Expert knowledge of SQL development Expert knowledge of data warehousing concepts, design principles, associated data management and delivery requirements, and best practices Expert problem solving and analytical skills Ability to understand and communicate data management and integration concepts within IT and to the business and effectively interact with all internal and external parties including vendors and contractors Ability to manage multiple projects simultaneously Ability to work independently, under pressure, and be adaptable to change Inquisitive and seek answers to questions without being asked Hardware and equipment will be provided by the company, but candidates must have access to high-speed, non-satellite Internet to successfully work from home. We offer an excellent benefit and compensation package, opportunity for career advancement and a professional culture built on the foundations of Respect, Responsibility, Resourcefulness and Relationships. To support a safe work environment, all employment offers are contingent upon successful completion of a pre-employment criminal background check. Quartz values and embraces diversity and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified person with disability. We can recommend jobs specifically for you! Click here to get started.

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.

About the Staff Data Engineer, Data Architect at Headspace: At Headspace, our mission is to transform mental healthcare to improve the health and happiness of the world. Core to this mission is our ability to responsibly and ethically leverage data to provide personalized care to each of our members, meeting them where they are on the mental health continuum. We're looking for an experienced Data Architect who can also operate hands-on as a Staff Data Engineer. You will design and evolve our domain-based Enterprise Data Model (EDM), lead Master Data Management (MDM) initiatives, and build production-grade data pipelines in Python / PySpark. The ideal candidate is equally comfortable whiteboarding conceptual models, building and reviewing ETL jobs, and coaching engineering teams on data architecture best practices. Location: We are currently hiring this role in San Francisco (hybrid), Los Angeles (remote), New York City (remote) and Seattle (remote). Candidates must permanently reside in the US full-time and be based in these cities. What you will do: Lead the Development of Scalable Data Infrastructure: Drive the architecture and implementation of cutting-edge py Spark data pipelines to ingest and transform diverse datasets into the organization's data lake in a fault-tolerant, robust system. Set Design Patterns: Drive the creation and enforcement of standard conventions in code, architecture, schema design, and table design. Architect World-Class Data Platforms: Design and lead the evolution of secure, compliant, and privacy-forward data warehousing platforms to support the unique demands of the healthcare industry. Strategic Collaboration for Business Insights: Partner with analytics, product, and engineering leaders to ensure the data ecosystem provides actionable and reliable insights into critical business metrics. Champion Data-Driven Leadership: Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance., Foster a data-first culture that prioritizes excellence, innovation, and collaboration across teams. Influence Organizational Strategy: Act as a technical thought leader, shaping the company's data strategy and influencing cross-functional roadmaps with data-centric solutions. What you will bring: 7+ years in data engineering / architecture, with 2+ years leading EDM/MDM programs and a proven track record of leading high-impact initiatives at scale. Proven ability to create and maintain domain-based enterprise data models (canonical, hub-and-spoke, data-product-oriented). Deep expertise with data-modeling tools (erwin, ER/Studio, PowerDesigner, or equivalent) and modeling techniques (3NF, Dimensional, Data Vault, Anchor). Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake). Strong SQL skills across columnar and relational engines (e.g., Snowflake, Redshift, Databricks SQL, Postgres). Solid grasp of data-governance practices: lineage, glossaries, PII/PHI controls, and data- quality frameworks. Ability to articulate architecture choices to both executive stakeholders and hands-on engineers. Deep experience designing and optimizing real-time and batch ETL pipelines (preferably within dbt), employing best practices for scalability and reliability. Systems thinker who can balance near-term delivery with long-term architecture vision. Comfortable in highly collaborative, agile environments; able to mentor cross-functional teams. Excellent written and verbal communication; able to translate complex data topics into plain language. Bias for automation, documentation, and continuous improvement. Nice-To-Haves: Hands-on with Databricks platform (Unity Catalog, Delta Live Tables, MLflow). dbt Core for transformation, tests, and metadata; dbt Semantic Layer experience is a plus. Exposure to event streaming (Kafka, EventHub) and CDC tools. Experience integrating with commercial MDM suites or building custom match-merge solutions. Familiarity with cloud data-platform services on AWS (Terraform). Background in data-privacy standards (GDPR, CCPA, HIPAA) and differential-privacy or tokenization techniques. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $140,400-$224,250 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team-one that's redefining how mental health care supports people today and for generations to come. Why You'll Love Working Here: A mission that matters-with impact you can see and feel A culture that's collaborative, inclusive, and grounded in our values The chance to shape what mental health care looks like next Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process. Headspace participates in the E-Verify Program . Privacy Statement All member records are protected according to our . Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship-including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm. For how how we will use the personal information you provide as part of the application process, please see: ****************************************** #LI-Hybrid

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the Role Location: Remote (Full-time) This is a full-time position responsible for designing, building, maintaining, and optimizing the infrastructure required for data integration (batch and real-time), storage (including databases and data modeling), processing, and analytics (BI, visualization, and advanced analytics) using Microsoft Azure in the public sector. The Lead Data Engineer works closely with cross-functional teams supporting business objectives and serves as an Azure Cloud solutions subject matter expert (SME), collaborating with the Delivery team on solution design and implementation. This role is split approximately 50/50 between hands-on data engineering (building pipelines, modeling data, troubleshooting) and solution architecture (designing the platform, setting standards, and leading technical direction). Qualifications & Experience Bachelor's degree in Computer Science, Information Systems, or a related field. Minimum 5+ years as a Data & Analytics Solution Architect or Senior/Lead Data Engineer with strong hands-on experience in Microsoft Azure environments. 5+ years working with Azure Cloud Platform and Azure DevOps (exposure to AWS/GCP is a plus). Proven experience delivering end-to-end data and analytics projects, including hands-on development as a Senior or Lead Data Engineer. Deep and recent experience with Microsoft Fabric, Azure Databricks, Azure Functions, and PySpark for real-time and low-latency data pipeline design. Expertise in data modeling, integration (ETL/ELT), warehousing, and BI using services such as Data Factory, Data Lake, Stream Analytics, and Azure SQL Database. Experience designing and implementing GraphQL and RESTful APIs within Azure ecosystems Preferred Certifications Microsoft Certified: Azure Fundamentals Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure AI Engineer Associat Required Skills & Competencies Deep experience designing and implementing end-to-end data and analytics solutions using Microsoft Azure services such as Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Stream Analytics, Azure SQL Database, and Power BI. Proven hands-on experience building and optimizing real-time, low-latency pipelines using PySpark, Azure Functions, Event Hubs, and Stream Analytics. Strong understanding of CI/CD, Infrastructure as Code (Terraform or ARM templates), configuration management, automated testing, and cost optimization principles. Expertise in data modeling, data integration (ETL/ELT), warehousing, BI, and advanced analytics (ML/AI) within Azure environments, ensuring scalable and resilient designs. Proficiency in Python and SQL, with ability to diagnose performance issues, optimize pipelines, and ensure system reliability. Experience designing data governance, cataloging, data quality, and lineage frameworks; implementing Azure security best practices (IAM, encryption, compliance); and managing monitoring tools such as Azure Monitor, Application Insights, or Datadog. Familiarity with Kubernetes and Docker for scalable architecture, including design and configuration of containerized services. Strong ability to work cross-functionally with architects, engineers, and data scientists, and to clearly document architecture and deployment configurations. Committed to staying updated with emerging Azure technologies, AI/ML integrations, and data architecture best practices to drive innovation and efficiency Equal Opportunity Employer: Fusemachines is committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company.

Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are building a dynamic pipeline of pre-qualified talent to fill critical data engineering roles as our business continues to scale. By providing your information, you are included in our priority pipeline of highly qualified candidates across various specialized Data Engineering opportunities within Fusemachines. This curated list ensures you will be among the very first to receive consideration for future full-time opportunities, giving you a significant advantage and leading to a much shorter evaluation and interview process when a critical role opens. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: Direct Company Sponsorship: Such as H-1B, J-1, or TN visas. Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

We are seeking a highly skilled and motivated Senior Data Engineer to join our team at Shopmonkey. This role is critical to building, maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to make strategic decisions about the tools we use, how we organize our data, and the best methods for orchestrating and optimizing our data processes.Your contributions will be essential to ensuring the uninterrupted flow of data across our platform, supporting the analytics needs of our clients and internal teams. If you are passionate about data, problem-solving, and continuous improvement, we encourage you to apply. This role offers a unique opportunity to take an active role in shaping the future of Shopmonkey's data infrastructure, making meaningful contributions to our platform's efficiency and reliability. Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected. What You Will Do: * Continuous Enhancement: Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability. * Strategic Leadership: Drive the decision-making process for the selection and implementation of data tools and technologies. * Streamlining: Design and refine data pipelines to ensure smooth and efficient data flow. * Troubleshooting: Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges. * Cross-Functional Synergy: Partner with cross-functional teams to develop new data requirements and refine existing processes. * Guidance: Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. * Collaborative Innovation: Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. * Knowledge Expansion: Stay informed on industry trends and best practices in data infrastructure and cloud technologies. * Dependability: Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level * Oversight: Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions. We Are Looking for People Who Have: * 5+ years of data engineering experience and Bachelor's Degree in STEM preferred *additional experience is also accepted in lieu of a degree* * Proven experience with Kubernetes and Cloud infrastructure (GCP preferred) * Strong proficiency in Python and SQL for data processing and automation. * Expertise in orchestration tools such as Airflow, Docker, etc.. * Understanding of performance optimization and cost-effectiveness in dataware houses like Snowflake, ClickHouse, etc. * Ability to work effectively in a collaborative, cross-functional environment. * Strong problem-solving skills with a proactive and solution-oriented mindset. * Experience with additional orchestration tools like Dogster or Meltano. * Knowledge of DBT, particularly in setting up new projects. * Demonstrated ability to build and maintain complex data pipelines and data flows. In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

About the company: ResortPass is redefining what it means to be a hotel guest. We're building a new category in hospitality: day access to luxury hotel experiences from breathtaking pools and private beaches to deluxe spas and wellness recharges so people can escape without an overnight stay. Our marketplace now connects guests with 2,300+ partner hotels and resorts, including Ritz-Carlton, Four Seasons, Marriott Hilton, and more. We've helped millions of people enjoy premium hospitality close to home, making rest more mindful, togetherness more meaningful, and escape more accessible. The result: unforgettable experiences for guests and new revenue streams for partners. Backed by some of the best consumer and growth investors, including CRV, Declaration, Brian Kelly (The Points Guy), WME, FJ Labs, and more, ResortPass is scaling a product people love and creating an entirely new way to experience hospitality. About the role ResortPass is seeking our first in-house Data Engineer. In this role, you will work along with our Product Engineering, Business Intelligence and the leadership team to drive forward our data initiatives. You will be responsible for building out and maintaining our data infrastructure, ensuring our data stakeholders have access to high fidelity data in a timely manner, and that it's all maintained in a high performant data warehouse. We are looking for someone who thrives at the intersection of technical expertise and understanding business needs who knows that data isn't just about numbers-it's a powerful tool for solving real-world problems and driving business success. You understand the importance of building scalable and flexible data environments that ensure data from various sources is clean, organized, and easily accessible. You likely enjoy collaborating with teams across the business to identify the most valuable data points and integrate them into systems that enable faster, smarter decision-making. Ultimately, you're focused on providing the tools and insights that empower the business to grow and succeed. This role will be in person at our energetic NYC headquarters. The base salary for this role will range from $160,000 - $200,000 per year, plus equity, commensurate with experience. What you'll do Design, implement, and maintain robust ETL processes, ensuring data accuracy, timeliness, and accessibility for analysis Collaborate with engineering teams to ensure comprehensive data instrumentation Maintain our data warehouse by being the primary administrator and making sure it is well provisioned and optimized. Promote effective self-service analytics infrastructure Your experience We encourage candidates to apply even if they don't have 100% of the below qualifications. We believe in a holistic approach when evaluating talent for our team and post new roles often, so even if this role isn't quite right, we want to meet you! 5+ years of data engineering experience, ideally in a high growth startup Strong understanding of cloud technologies (AWS preferred) Strong Experience ingesting data from REST APIs to a data warehouse or data lake using various modern tooling ranging from fundamental technologies like Airflow to self-serve tooling like Fivetran Strong understanding of data warehousing technologies (Redshift preferred) Expert-level SQL skills and exposure to data transformation technologies such as DBT Exposure to Looker or equivalent BI tools Demonstrated experience working cross team and cross functionally Benefits Health, Dental & Vision - We're deeply invested in the health and well-being of our team and are proud to contribute to the monthly premiums of these insurance plans. Stock Option Plan - We offer employees the opportunity to become part-owners in our mission. Let's redefine what it means to be a guest, together. 401k plan - Save for your future with a 401k plan offering. Unlimited Paid Time Off (PTO) - Enjoy life away from work to be inspired and fully recharge with unlimited paid time off. Commuter Benefits Paid parental leave Annual ResortPass credit - Our mission is to bring delight and relaxation to people around the world; including our employees! Access private beaches, deluxe saunas, awesome pools, and much more with your annual credit

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: * A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. * The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. * Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. * Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. * Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: * Data Curation & Validation * Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. * Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. * Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. * AI System Quality & Correctness * Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. * Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. * Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. * Strategy & Collaboration * Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: * Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. * Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. * Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. * AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. * Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: * Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). * Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). * Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. * Computational Focus: Experience as a Computational battery AI specialist.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: Data Curation & Validation Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. AI System Quality & Correctness Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. Strategy & Collaboration Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. Computational Focus: Experience as a Computational battery AI specialist.

Job Description At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. We are repeatedly recognized as a top place to work and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence has an immediate need for a Data Engineer to support the U-2 Airframe Forecasting Dashboard. We are supporting the Air Force by developing a forecasting dashboard powered by AI. This will be delivered initially as a Minimum Viable Product (MVP) in IL-2, with plans to scale to IL-4 in AWS. The product will feature chatbots, dashboards, alerts/notifications, and reports, focusing on demand forecasting, inventory and stock issues, maintenance tracking, and data analysis. Responsibilities include, but are not limited to the duties listed below Must have demonstrated experience deploying solutions and production experience with applications Experience supporting designing, developing, and deploying machine learning models and AI-driven solutions will be key for the successful candidate in this role. Collaborate with cross-functional teams, including data engineers, software engineers, product managers, and client stakeholders to understand, evaluate and deliver AI solutions that meet the requirements. Conduct data preparation, feature engineering, model selection, training and optimization to ensure optimal performance from the AI models. Design and implement AI solutions using the latest Generative AI technologies and foundation models / large-language models (LLMs). Develop automation scripts for MLOps pipelines in cloud using Infrastructure as Code (IaC) for ML model deployment in model inferencing workflows, following best practices of model versioning and CI/CD deployments. Manage AI model performance post-deployment and support AI tool development and best practices Stay updated on AI & ML trends and write clean, maintainable and well-documented code following industry standard Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. US citizenship with the ability to obtain a secret security clearance required. Mid-Level Data Scientist 3-7 years of hands-on experience in AI/ML development & deployments of AI projects and/or Senior Level Data Scientist 10+ years of hands-on experience in AI/ML development & deployments of AI projects. Strong knowledge of AI/ML techniques, including supervised, unsupervised, and reinforcement learning, with expertise in Python, AI/ML key libraries, and basic LLM concepts Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). Experience using ML frameworks and tools in the cloud, such as Amazon Sagemaker. Strong problem-solving skills and the ability to work both independently and as part of a team. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Please join us, as together we build a better world one mission at a time powered by Technology and its People!

At Rain, we're rebuilding the global financial pipes money flows through. Our infrastructure makes stablecoins usable in the real world by powering credit card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. If you're curious, bold, and excited to help shape a borderless financial system, we'd love to talk. Our Ethos Operating at the epicenter of stablecoin innovation means moving fast and thinking globally. Our team reflects the diverse, international audiences we serve. We hire people who stay agile as the tide ebbs and flows, fix what's broken without waiting, chase trends before they peak, and remember to have fun through it all. About the Role We're looking for Rain's first dedicated Data Engineer-a hands-on builder who will architect the ingestion, pipelines, and infrastructure that power our data ecosystem. As Rain scales to millions of end users across payments, card programs, and blockchain rails, your systems will ensure every team has access to timely, accurate, and trustworthy data. Reporting to the CTO and partnering closely with Analytics, Operations, Product, Compliance, and BD, you will own Rain's data pipelines end-to-end: from ingesting raw transaction and blockchain data, to orchestrating transformations, to ensuring quality, observability, and reliability. This role is foundational-you'll be shaping the data backbone that underpins analytics, customer reporting, operational tooling, and on-chain integrations. If you love building in fast-moving environments, care deeply about data quality, and want to own core infrastructure at the heart of a modern fintech, this role is for you. What You'll Do Design, build, and maintain Rain's core data pipelines, including ingestion from payments processors, card issuers, blockchain nodes, internal services, and third-party APIs. Own orchestration and workflow management, implementing Airflow, Dagster, or similar tools to ensure reliable, observable, and scalable data processing. Architect and manage Rain's data warehouse (Snowflake, BigQuery, or Redshift), driving performance, cost optimization, partitioning, and access patterns. Develop high-quality ELT/ETL transformations to structure raw logs, transactions, ledgers, and on-chain events into clean, production-grade datasets. Implement data quality frameworks and observability (tests, data contracts, freshness checks, lineage) to ensure every dataset is trustworthy. Partner closely with backend engineers to instrument new events, define data contracts, and improve telemetry across Rain's infrastructure. Support Analytics and cross-functional teams by delivering well-modeled, well-documented tables that power dashboards, ROI analyses, customer reporting, and key business metrics. Own data reliability at scale, leading root-cause investigations, reducing pipeline failures, and building monitoring and alerting systems. Evaluate and integrate new tools across ingestion, enrichment, observability, and developer experience-raising the bar on performance and maintainability. Help set the long-term technical direction for Rain's data platform as we scale across new products, regions, and chains. Who You Are Data infrastructure builder - You thrive in early-stage environments, owning pipelines and platforms end-to-end and choosing simplicity without sacrificing reliability. Expert data engineer - Strong Python and SQL fundamentals, with real experience building production-grade ETL/ELT. Workflow & orchestration fluent - Hands-on experience with Airflow, Dagster, Prefect, or similar systems. Warehouse & modeling savvy - Comfortable designing schemas, optimizing performance, and operating modern cloud warehouses (Snowflake, BigQuery, Redshift). Quality-obsessed - You care deeply about data integrity, testing, lineage, and observability. Systems thinker - You see data as a platform; you design for reliability, scale, and future users. Collaborator - You work well with backend engineers, analytics engineers, and cross-functional stakeholders to define requirements and deliver outcomes. Experienced - 5-7+ years in data engineering roles, ideally within fintech, payments, B2B SaaS, or infrastructure-heavy startups. Nice to Have Experience ingesting and processing payments data, transaction logs, or ledger systems. Exposure to smart contracts, blockchain data structures, or on-chain event ingestion. Experience building data tooling for compliance, risk, or regulated environments. Familiarity with dbt and/or semantic modeling to support analytics layers. Prior experience standing up data platforms from 0→1 at early-stage companies. Benefits Our team works hard, so we make sure our benefits do too. Here's what you can expect as a Rainmaker: Top-tier coverage: We cover 95% of Medical, Dental, and Vision premiums. 401(k) with matching: Invest in your future, just like we're investing in ours. Ownership that matters: Every team member gets equity because we believe in building together. Work your way: Flexible hybrid setup with a prime SoHo office for NYC-based teammates. Unlimited PTO: Because time to rest and reset is just as important as time to ship. Product-first perks: Monthly budget to test our cards and features like a real user. Wellness support: Monthly stipend to spend on fitness, therapy, or whatever keeps you thriving. Home office setup: One-time stipend to create a space that works for you. Team connection: Frequent company events, team dinners, and offsites to stay connected.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Lead Data Science Engineer, Personalization, you will play a pivotal role in driving the strategic direction and technical execution of creating data-driven, predictive, and personalized customer experiences. You will lead initiatives and execute alongside a team of talented data scientists and engineers, leveraging your technical expertise and leadership skills to deliver impactful solutions. You'll work across the full stack of machine learning development, including model training, evaluation, deployment, and serving. What You'll Do * Lead initiatives related to Casino & Sportsbook Personalization and mentor a team of data scientists and engineers to achieve high-impact business goals. * Develop and implement advanced machine learning models and algorithms to solve complex business problems, leveraging techniques such as supervised learning, reinforcement learning, and generative AI. * Work with stakeholders to understand business and customer-facing problems and translate these into machine learning problems. * Collaborate with cross-functional teams to integrate data science solutions into production systems. * Drive the data strategy by identifying key data needs, ensuring data quality, and developing data infrastructure. * Communicate findings and recommendations to senior leadership to influence strategic decision-making. What You'll Bring * Master's degree or PhD in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science is preferred. * At least 5 years of experience in machine learning and statistical modeling, with a proven track record of leading successful projects. * Proficiency in programming languages such as Python, and experience with data manipulation and visualization tools. * Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery. * Familiarity with user behavior analysis and its integration into content and product strategies. * Strong leadership skills with the ability to mentor and coach individual contributors. * Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours About the Team The Fintech Data Science team builds intelligent systems that power DK's financial trust and risk decisioning ecosystem. Our mission is to deliver real-time, explainable, and automated risk decisions that protect our customers and safeguard the business from fraud and payment risk. You'll contribute to DK's first agentic AI system, built to help Risk Operations analysts act faster on alerts by summarizing behaviors, recommending next steps, and ultimately taking autonomous actions under human supervision. As an L10 Data Science Engineer, you'll help design and deliver scalable ML systems that turn cutting-edge research prototypes into robust, production-grade solutions used daily by our operations teams. What You'll Do Design, implement, and test AI agents that enable intelligent decisioning and automation. Build and maintain data pipelines and model services using Python and Databricks for both batch and real-time decisioning. Develop core components for data preprocessing, feature engineering, and model monitoring. Partner with senior engineers to design feedback loops that let systems continuously learn from analyst ratings and real-world outcomes. Write clean, well-documented, and testable Python code aligned with DK's engineering standards. Collaborate cross-functionally with Risk Operations, Product, and Engineering teams to understand workflows, improve usability, and ensure high system adoption. Enhance system reliability and performance by identifying bottlenecks, optimizing pipelines, and scaling key components. What You'll Bring Academic or internship experience in machine learning, data science, and/or software engineering. Strong proficiency in Python, with experience building ML and data pipelines. Proficiency in SQL and experience with complex data manipulation. Understanding of the model lifecycle, including validation, deployment, retraining, and monitoring. Familiarity with ML Ops tools such as MLflow, Airflow, or Databricks Workflows (a plus). Experience or exposure to Databricks, Spark, or other distributed data processing frameworks (a plus). Exposure to agentic or LLM-based systems (e.g., LangChain, OpenAI APIs, or vector databases); understanding of prompt design, evaluation, and safety mechanisms for LLMs is a plus. Eagerness to work in a fast-paced, experimental environment exploring next-generation agentic and generative AI applications. A growth mindset and strong ability to collaborate in a diverse, cross-functional team environment. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field (Master's degree a plus). Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 104,000.00 USD - 130,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours We are looking for a Lead Data Science Engineer to join our Daily Fantasy Sports reinvestment team, where we focus on understanding and optimizing how players engage with our DFS products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. What you'll do as a Lead Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Experience leading and coaching other data scientists Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.