Data Engineer jobs at BERKLEY TECHNOLOGY SERVICES - 4070 jobs

6 month contract to hire Rate: $55-65/hr Salary: $100-120k/yr The End User Computing (EUC) Engineer is responsible for designing, supporting, maintaining, and optimizing the hospital's end user computing environment to ensure clinicians, staff, and administrators have reliable and secure access to technology resources. This role provides advanced technical support for endpoint devices, operating systems, applications, and mobility solutions, with a strong focus on delivering a stable, compliant, and user-friendly experience in a healthcare setting. The Engineer partners closely with clinical and non-clinical teams to address technology needs, troubleshoot complex issues, and contribute to projects that enhance patient care through technology. Essential Functions: Endpoint Deployment & Configuration o Build, configure, and deploy desktops, laptops, tablets, thin clients, and mobile devices using enterprise imaging and management tools. o Ensure devices meet hospital security, compliance, and operational standards prior to release. (15%) Advanced Technical Support o Provide Tier II/III support for escalated incidents, service requests, and problem management activities. o Troubleshoot complex hardware, software, and peripheral issues in clinical and administrative environments. o Partner with EUC Support and Help Desk teams to ensure resolution and knowledge transfer. (15%) Systems & Application Management o Administer and support Microsoft 365, Intune, SCCM, and other enterprise endpoint management solutions. o Package, test, and deploy applications, patches, and updates to the endpoint environment. o Maintain and optimize Group Policy Objects (GPOs), login scripts, and device configurations. (15%) Healthcare Technology Integration o Support clinical workstations, Workstations on Wheels (WoWs), printers, and medical-grade peripherals. o Collaborate with clinical application teams (e.g., Epic Analysts, Nursing Informatics, Clin. Apps) to ensure endpoint compatibility, performance, and workflow support. (15%) Security & Compliance o Enforce endpoint security policies, including encryption, endpoint detection and response (EDR), conditional access, and mobile device management. o Participate in vulnerability remediation, patch management, and compliance reporting activities. o Support HIPAA and other regulatory requirements by ensuring endpoint security and data protection measures. (15%) Project Participation & Execution o Contribute to enterprise IT projects such as operating system upgrades, device lifecycle refreshes, and mobility initiatives. o Assist with design, testing, and rollout of new endpoint standards, technologies, and configurations. o Document project deliverables, lessons learned, and standard operating procedures. (10%) Documentation & Knowledge Sharing o Develop and maintain technical documentation, standard operating procedures, and knowledge base articles. o Provide technical training and guidance to junior staff and end users as needed. (10%) Continuous Improvement o Monitor system performance, identify recurring issues, and recommend solutions to improve reliability and efficiency. o Stay current with emerging EUC technologies, industry best practices, and healthcare IT trends. (5%) Work Experience: 7-9 years of IT experience with at least 5 years focused on end user computing required. Knowledge, Skills and Abilities: Proficiency in Microsoft 365, Windows Operating Systems, Intune, SCCM, Active Directory, Group Policy. Experience with mobile device management (MDM/MAM), such as Intune, JAMF or Citrix XenMobile. Familiarity with clinical workflows and healthcare endpoint technologies. Strong troubleshooting skills in hardware, OS, and application environments.

About the Role We are a stealth U.S. startup building a high-impact software platform that will redefine operations within our target industry. We are searching for a Founding Engineer who has previously built and shipped full software products, someone who can take ownership, work closely with the CEO, and help craft the product from the ground up. You will be building a platform that must be secure, fast, reliable, and scalable. Your work will shape the foundation of the company. Responsibilities Build the MVP quickly while maintaining clean, modern architecture Write production-level frontend, backend, and database code Implement platform security, authentication, and data protection Collaborate closely with the CEO on product decisions and sprint priorities Build internal tools, dashboards, and new features at startup speed Help shape engineering culture from day one Requirements Experience building software from end-to-end (solo or as a lead) Strong knowledge of React/Next.js, Typescript, Node.js, PostgreSQL or similar Ability to architect secure systems with best practices Entrepreneurial mindset, comfortable iterating quickly Open to equity-only compensation during initial phase Compensation Competitive founding-team equity Equity-only in the early phase Remote Path to salary after funding If this role resonates with you and you have built full products before, please apply. I review every application personally and would love to explore whether this could be a strong fit.

Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Our platform enhances trial efficiency and reduces the barriers to participation for healthcare providers. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm's seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster. Our team hails from a broad range of disciplines and is committed to the company's mission to create equitable access to clinical trials for any patient, anywhere. Join us, and bring your expertise, passion, creativity, and drive as we work together to realize this mission. Paradigm's Software Engineering team builds and maintains the foundational infrastructure that powers our clinical care data ecosystem. We ingest and integrate data from diverse sources-including Electronic Health Records, lab providers, and Health Information Exchanges-and transform it through enrichment and harmonization to support a wide range of internal consumers and product verticals. As Paradigm's footprint across patient populations, research initiatives, and health systems expands, the team is focused on scaling our architecture to enable efficient, parallel data processing at scale. As part of the Data Core team, you'll work with the engineering team and our commercial counterparts to ingest patient data into our system and build reusable platforms. You will partner closely with product, design, and other internal engineering teams to build resilient features, address bugs, and collaborate to plan upcoming work. What you'll do: Production readiness - handle a moderate size release, know what it means to monitor it and communicate it. Designs and implements solutions using best practices, drives architecture decisions for their team. Proactively consider cross team effects of their work, breaks down work and drives with the appropriate stakeholders. Proactively communicates updates on progress and blockers to ensure timelines can be met and adjusted accordingly. Effectively communicate within your team and other teams. Share and promote best practices to help your teammates grow. Understands the product area you are working with, and how it is used in context of the overall product. Works on epics on the scale of ~ 3 months Partner with our customer teams to develop engineering plans to implement our health system partners Build and support robust batch and streaming pipelines Build tools and processes to make data accessible across products and data consumers Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure Become a subject matter expert on our different datasets and tooling Who you are: You bring experience building data pipelines and working with ETL systems (DBT, Airflow, Dagster, or similar). You are proficient in SQL and have worked with a data warehouse system (we use Databricks). You have experience programming in Python and a compiled language like Java. You've worked with big data technologies such as Kafka and Spark. You understand data pipelines and how to design them for reliability and scale. Bonus: experience with healthcare data formats such as HL7 or FHIR. Typically, candidates in this role have 5+ years of relevant experience, but we welcome applicants with equivalent skills and impact. Engineering Cultural Attributes: Our engineering culture is shaped by our mission: improving care through data. We work in a fast-moving, complex space, and we succeed by leaning on shared values that guide how we build and collaborate every day. Curious - You look at your work beyond the surface, and care about why and how things work Gets Stuff Done - Say what you will do, and do that. Deliver work timely and reliably. Growth Mindset - Believe in potential, embrace challenges, learn from mistakes. Teachable - Willing to learn from anyone and want to teach others Respectful - All viewpoints are valuable - we listen and provide appropriate feedback The base compensation range is $150,000 - $165,000 USD per year. Actual salaries will vary based on candidates' qualifications, skills, and location. What You'll Receive: Paradigm Health offers a comprehensive Total Rewards package to support your well-being and success, including: Competitive health, dental, and vision insurance Mental health support for you and your family through Spring Health Equity package Unlimited paid time off (PTO) 16 weeks of paid parental leave Flexible work options - remote and hybrid arrangements Company-paid life insurance Company-paid short-term and long-term disability coverage One Medical membership 401(k) plan with company match At Paradigm, we are committed to providing equal employment opportunities to all qualified individuals. We encourage and welcome candidates from all backgrounds and perspectives to apply for our open positions. We are interested in all qualified individuals and ensure that all employment decisions are based on job-related factors such as skills, experience, and qualifications.

About Us Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career! Notice for California Residents - California Privacy Policy About Us Fueled by a fundamental belief in innovation, Resurgent Capital Services is an industry-leading financial services company in our sector. It all began 25 years ago when a small group of successful entrepreneurs had a vision for a new type of asset receivables company. One with a commitment to superior service and a personal touch with every interaction. We believe that demonstrating integrity in everything we do, maintaining a strong commitment to compliance, and doing things the right way is a sustainable business model. We want you to feel like your work has an impact and makes a difference every day. Join us as we develop strategies for change and transform the trajectory of your career! Notice for California Residents - California Privacy Policy Position: Data Engineer II, Business Intelligence Roles & Responsibilities: Responsible for the design and development of data structures and processes to support the operational and analytical functions of our Performing Acquisition group. Acquire cleanse, load and analyze business intelligence data used to evaluate Consumer Loans. Generate periodic technical reports based on analysis of business needs and company financial data. Create and maintain custom business intelligence tools, databases, dashboards and systems used to support the analysis of Consumer Loans. Follow best practices and coding standards. Research emerging development technologies, products and business intelligence processes, applying advanced knowledge of IT concepts and practices. Work at the direction of the Spot 18 Executive and Acquisition team. Responsible for all aspects of the software development lifecycle, including: design, coding, integration testing, deployment and documentation. Work closely with Business Intelligence team to tune data sets and queries involving large data sets. This position is 100% remote. Schedule: 40 hours per week, Monday through Friday Location: Resurgent Capital Services, L.P., 55 Beattie Place, Suite 110, Greenville, SC 29601 Skills & Qualifications: Bachelor's degree in Information Systems, Computer Science, Econometrics or related field and 4 years of experience as a Systems Engineer, Data Analyst (all levels), or related role where experience was gained. Special Skills: Also requires experience in the following: * Four (4) years of direct experience with Transact-SQL using Microsoft SQL Server Database. * Four (4) years of direct experience with Python, Powershell or C#. * Implement data structures, analytics, and operational reporting. * Create data models, and creating data pipelines for acquisition, cleansing, and integration. * Demonstrated experience in IT concepts and practices. * Understands and has used software development lifecycles. * Experience with organizational and project management. Contact: To apply, email resume to Crystal Drummond at ***********************. Please reference job title and location. Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws Resurgent is an Equal Opportunity employer that is fueled by our diverse and inclusive work environment. Are you excited about this opportunity, but your skills and experience aren't an exact match? We encourage you to apply anyway! You may be just the person we are searching for to fill this or another position. We would love to consider you for the Resurgent team! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

Senior Python Data Engineer - (Remote) Entity: KBRA Holdings LLC Employment Type: Full-Time Summary/Overview: KBRA (KBRA Holdings, LLC) is seeking an engaged and proactive Senior Python Data Engineer to work on our financial analytical system. We want someone who loves solving difficult problems, digs deeply to understand the domain in which they're working, and excels at creating high-quality software in a collaborative environment. About the Team: We believe that small, empowered teams can do amazing things. Across the engineering organization, we work hard to make the best systems for our customers using modern engineering practices. We are intentional in our investments in time and effort around creating a safe and successful workplace for our team members. We understand software engineering goes beyond the 1's and 0's and prioritize concrete value for our customers. About the Job: This role involves joining an existing team with a well-defined product vision. This team operates collaboratively, and there is an expectation to get involved in all aspects of design, delivery, and support of our systems. This role emphasizes collaboration with our technical and non-technical counterparts to learn our domain and its unique challenges, while delivering value to our customers. It also requires collaboration with our other engineering, design, product, and platform teams to develop, build, run, and support the system. About You: You will be successful in this role if you: Develop, test, and maintain scalable Python applications. Collaborate with product managers, designers, and other engineers to deliver high-quality software. Write clean, efficient, and reusable code following best practices. Participate in code reviews to ensure code quality and share knowledge with the team. Troubleshoot and debug issues in a timely manner. Contribute to the design and architecture of new features and systems. Have a sense of ownership and craftsmanship around the code base and your work. Enjoy helping other developers grow and learn new technologies. Display a strong track record of mentorship with engineers at various levels. Are mindful of application security and performance. Take pride in learning, and want opportunities to learn throughout your day-to-day. Possess a pragmatic mindset. Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus. Must have skills: 3-6 years of professional software engineering experience, with a strong portfolio of full stack development work. Proficiency in Python, including experience with web frameworks such as Flask. Cloud experience, particularly with AWS (Amazon Web Services). Experience integrating frontend applications with RESTful APIs and backend services. Relational and non-relational databases (SQL Server, Snowflake and MongoDB). Debugging, issue resolution, and troubleshooting. Nice to have skills: Familiarity with UX design tools (Figma) and solid understanding of the design-engineering hand-off process Containerized development and deployment (i.e. Docker, Docker swarm, Kubernetes) Infrastructure as Code (Terraform) Familiarity with deployment pipelines, CICD tools. Exposure to financial systems or credit modeling is strongly preferred. Salary Range: The anticipated annual base salary range for this full-time position is $130,000 - $160,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors. Benefits: Competitive benefits and paid time off Paid family and disability leave 401(k) plan, including employer match (100% vested) Educational and professional development financial assistance Employee referral bonus program About Us: KBRA is a full-service credit rating agency registered in the U.S., the EU and the UK, and is designated to provide structured finance ratings in Canada. KBRA's ratings can be used by investors for regulatory capital purposes in multiple jurisdictions. More Info: KBRA encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, and veteran status or any other basis prohibited by federal, state or local law. #LI-KS1 #REMOTE

Rockerbox is building the next generation of marketing intelligence, and we're looking for someone to help us build the AI systems everyone else just theorizes about. As a Staff AI Data Engineer, you'll research, design, and architect data systems purpose-built for AI agents, automations, and decisioning engines. You'll also apply data science and model-tuning techniques to optimize LLMs and solve complex marketing challenges for our clients. If you enjoy turning high-volume data into clean, powerful systems-and you want your work to drive real business outcomes rather than just dashboards-this role puts you right at the center of the action. What You'll Do Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows. Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks: attribution insights, anomaly detection, summarization, classification, and automated recommendations. Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks. Build AI-driven automations that reduce manual work across Rockerbox and unlock new client-facing capabilities. Design retrieval, orchestration, and memory layers that make our AI agents smarter over time. Establish best practices for AI data quality, observability, experiments, and safety. Lead R&D initiatives: rapid prototyping, experimentation, model evaluations, and productionization. Mentor data scientists and engineers across organization to raise the bar on LLM use company-wide. What You Bring 8+ years of experience in data engineering, AI, ML platforms, or large-scale distributed systems. Hands-on experience integrating LLMs into production systems (OpenAI, fine-tuning, embeddings, RAG, vector stores, or custom agent orchestration). Strong understanding of experimentation, model evaluation, and performance tuning. You think in systems: storage, retrieval, metadata, reliability, latency, failure modes. Ability to work from ambiguity to execution - you're comfortable being the first to figure something out. Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly.

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.

Hinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we're on a mission to inspire intimate connection to create a less lonely world. We're obsessed with understanding our users' behaviors to help them find love, and our success is defined by one simple metric- setting up great dates. With millions of users across the globe, we've become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge's decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more. Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives. Work with stakeholders and translate their needs and expectations into action items and deliverables. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. What We're Looking For: 5+ years of professional/industry experience Proficient in Python, SQL, DevOps, and databases. 5+ years of professional/industry experience. Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes. Experience modeling data sets for different types of sources and business processes. Passionate about designing elegant data infrastructure, tooling, and pipelines. Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery). and CI/CD technologies (CircleCI). Spark/Databricks a plus! $177,500 - $213,000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. As a member of our team, you'll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you've been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you're eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You'll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates- Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)-Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents -that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we're on a mission to inspire intimate connection to create a less lonely world. We're obsessed with understanding our users' behaviors to help them find love, and our success is defined by one simple metric- setting up great dates. With millions of users across the globe, we've become the most trusted way to find a relationship, for all. About the Role: As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge's decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people. As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.Responsibilities: Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more. Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives. Work with stakeholders and translate their needs and expectations into action items and deliverables. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. What We're Looking For: 5+ years of professional/industry experience Proficient in Python, SQL, DevOps, and databases. 5+ years of professional/industry experience. Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes. Experience modeling data sets for different types of sources and business processes. Passionate about designing elegant data infrastructure, tooling, and pipelines. Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery). and CI/CD technologies (CircleCI). Spark/Databricks a plus! Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you'll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you've been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you're eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You'll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates- Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)-Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents -that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description Overview: LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are looking for a talented and driven technical leader to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, policy and operations to develop and deliver metrics, analyses, solutions, and insights, with actionable recommendations to business partners. Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company. Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals. Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Drive org-wide impact by shaping product and business strategy through data-centric presentations. Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy. Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive member value and customer success. Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business and product insights. Design and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. Independently craft compelling stories; make logical recommendations; drive informed actions. Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. Mentor junior members of the team. Qualifications Basic Qualifications: Bachelor or higher degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. 5+ years of relevant work experience. Experience influencing strategy through data-centric presentations . Experience in SQL. Background in at least one programming language (e.g., R, Python, Scala). Experience in applied statistics and statistical modeling in at least one statistical software package. Experience telling stories with data and visualization tools Experience running platform experiments and techniques like A/B testing Preferred Qualifications: Experience with manipulating massive-scale structured and unstructured data. Proven record writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs. Working knowledge of Unix command-line/shell, git and review board. Experience leveraging government data or publicly available third-party APIs. Experience mentoring other data scientists in an official or unofficial capacity. Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives. Suggested Skills: SQL Python Statistical Analysis Data Storytelling Data Interpretation You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. Compensation: The pay range for this role is $144,000 - $236,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

This position is ideal for senior-level data engineering professionals to join the Product Analytics team as a Technical Lead, Data Engineer. You will drive the design, development, and management of robust data pipelines, investigate data discrepancies, and enable research through the creation and maintenance of sandbox databases. Partnering with business owners, product engineering managers, functional managers, and cross-functional teams in R&D, IT, marketing, clinical, and operations, you'll provide technical leadership and hands-on expertise to deliver high-quality, reliable data solutions that support business insights, metrics, and recommendations. You will operate as a power user of the Datalake, collaborating with partner teams for administrative support and broader data access. * Serve as the technical leader and subject matter expert for dashboard development, setting best practices for design, implementation, and monitoring of analytics dashboards. * Lead the investigation and resolution of complex data discrepancies, collaborating with cross-functional teams to ensure data accuracy, consistency, and integrity across all reporting platforms. * Architect, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks, Starburst, and Kafka within the team's allocated data catalog and resources. * Design and manage sandbox databases, enabling rapid prototyping and research for internal stakeholders * Design and maintain data models and schemas for efficient querying and reporting, utilizing Starburst for federated data access. * Collaborate with partner teams for data access, integration, and troubleshooting beyond your team's scope. * Oversee the extraction, cleaning, wrangling, and exploratory analysis of data using SQL and programming languages (e.g., Python). * Document technical processes and mentor team members in best practices for data engineering and dashboard development. * Monitor and optimize data infrastructure performance, troubleshooting issues as needed within the team's allocated resources. * Establish and enforce data governance and usage guidelines to ensure compliance and best practices. * Remain current on industry trends and emerging technologies in data engineering, BI, and analytics.

Job DescriptionDescriptionThis position is ideal for senior-level data engineering professionals to join the Product Analytics team as a Technical Lead, Data Engineer. You will drive the design, development, and management of robust data pipelines, investigate data discrepancies, and enable research through the creation and maintenance of sandbox databases. Partnering with business owners, product engineering managers, functional managers, and cross-functional teams in R&D, IT, marketing, clinical, and operations, you'll provide technical leadership and hands-on expertise to deliver high-quality, reliable data solutions that support business insights, metrics, and recommendations. You will operate as a power user of the Datalake, collaborating with partner teams for administrative support and broader data access. Role expectations Serve as the technical leader and subject matter expert for dashboard development, setting best practices for design, implementation, and monitoring of analytics dashboards. Lead the investigation and resolution of complex data discrepancies, collaborating with cross-functional teams to ensure data accuracy, consistency, and integrity across all reporting platforms. Architect, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks, Starburst, and Kafka within the team's allocated data catalog and resources. Design and manage sandbox databases, enabling rapid prototyping and research for internal stakeholders Design and maintain data models and schemas for efficient querying and reporting, utilizing Starburst for federated data access. Collaborate with partner teams for data access, integration, and troubleshooting beyond your team's scope. Oversee the extraction, cleaning, wrangling, and exploratory analysis of data using SQL and programming languages (e.g., Python). Document technical processes and mentor team members in best practices for data engineering and dashboard development. Monitor and optimize data infrastructure performance, troubleshooting issues as needed within the team's allocated resources. Establish and enforce data governance and usage guidelines to ensure compliance and best practices. Remain current on industry trends and emerging technologies in data engineering, BI, and analytics. What we're looking for Education: BS or MS in Computer Science, Engineering, Data Science, or related technical field. Experience: 8-12 years of experience in Data Engineering, Data Analytics, Business Analytics, or related fields Skills: Strong knowledge of data modeling, ETL, and dashboard development; Hands-on experience with Databricks, Starburst, and Kafka as a power user; Hands-on expertise with dashboard development and monitoring (e.g., Power BI, Tableau); Deep expertise in data discrepancy investigation, root cause analysis, and resolution; Strong analytical and problem-solving abilities; Demonstrable experience designing and managing data pipelines and ETL frameworks; Proficiency in SQL writing & optimization, data modeling, and relational database management; Proficiency in Python or other programming languages for data engineering tasks; Familiarity with cloud data platforms and big data technologies; Strong organization and project management skills. Communication: Exceptional communication and documentation skills to accurately convey technical requirements and priorities to stakeholders Teamwork: Ability to work cross-functionally with a diverse group of people and functions to drive timely solutions Strong presentation and documentation skills Self-motivated, proactive, and willing to work through barriers and strive for continuous improvement Desire and willingness to develop clinical understanding of Invisalign product and orthodontics Pay TransparencyIf provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All BenefitsWe are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment Back-up Child/Elder Care and access to a caregiving concierge Family Forming Benefits - Available to Employees, and their spouse or domestic partner, covered under one of Align's health plans Breast Milk Delivery and Lactation Support Services Employee Assistance Program Hinge Health Virtual Physical Therapy - Available to all employees and eligible dependents (age 18+) enrolled in an Align medical Plan Employee benefits. Align offers its employees: Short-term and long-term disability insurance in accordance with those plans. Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans. Flexible Spending Accounts - Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan. 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years - 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options. Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible). Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure. Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours. 11 Company-designated paid holidays throughout the year. If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law. Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions. Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products. Perform all of the necessary data transformations to serve products that empower data-driven decision making. Build and manage data pipelines, design and architect databases. Establish efficient design and programming patterns for engineers as well as for non-technical partners. Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale. Ensure best practices and standards in our data ecosystem are shared across teams. Understand the analytical objectives to make logical recommendations and drive informed actions. Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms. Be a self-starter, Initiate and drive projects to completion with minimal guidance. Contribute to engineering innovations that fuel LinkedIn's vision and mission. Qualifications Basic Qualifications Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc. 3+ years of relevant industry or relevant academia experience working with large amounts of data Experience with SQL/Relational databases Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript) Preferred Qualifications BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience working with large amounts of data MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. Experience in developing data pipelines using Spark and Hive. Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data. Experience with using distributed data systems such as Spark and related technologies (Presto/Trino, Hive, etc.). Experience with either data workflows/modeling, front-end engineering, or back-end engineering. Deep understanding of technical and functional designs for relational and MPP Databases Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, streamlit, D3, and other libraries, etc. Knowledge of Unix and Unix-like systems, version control systems such as Git. Suggested Skills Distributed Systems ETL Data Modeling You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $125,000 to $206,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Job Description Blue Sky Innovators is seeking a Software Engineer-Data Engineer to Perform signal analysis on EO and RF sources and provide recommendations on identifying trends for intelligence analysis. Key Responsibilities: Collaborate with scientists, physicists, engineers, program managers, and intelligence analysts to understand the capabilities and limitations of the space program of records and other space programs under the US IC and DOD. Identify and prioritize intelligence gaps, coordinate with internal and external customers to facilitate requirements production, and develop collection management plans for technical collection activities. Create, Collaborate, and Oversee finished intelligence products concerning customer problem sets and assigned areas of responsibilities. Work Environment: Location: [On-site] Travel Requirements: Travel: CONUS and OCONUS travel may be required. (10%) Working Hours: [Standard] Qualifications: Required: Current Top Secret clearance with SCI eligibility and active Poly. Experience with intelligence analysis and managing intelligence product dissemination Desired: At least five years of experience conducting analysis relevant to the specific labor category, with at least a portion of the experience within the last two years. Desired Education: Bachelor's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access ******************************** as a result of your disability. To request an accommodation, please email us at ***************************** and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

Blue Sky Innovators is seeking a Software Engineer-Data Engineer to Perform signal analysis on EO and RF sources and provide recommendations on identifying trends for intelligence analysis. Key Responsibilities: Collaborate with scientists, physicists, engineers, program managers, and intelligence analysts to understand the capabilities and limitations of the space program of records and other space programs under the US IC and DOD. Identify and prioritize intelligence gaps, coordinate with internal and external customers to facilitate requirements production, and develop collection management plans for technical collection activities. Create, Collaborate, and Oversee finished intelligence products concerning customer problem sets and assigned areas of responsibilities. Work Environment: Location: [On-site] Travel Requirements: Travel: CONUS and OCONUS travel may be required. (10%) Working Hours: [Standard] Qualifications: Required: Current Top Secret clearance with SCI eligibility and active Poly. Experience with intelligence analysis and managing intelligence product dissemination Desired: At least five years of experience conducting analysis relevant to the specific labor category, with at least a portion of the experience within the last two years. Desired Education: Bachelor's degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access ******************************** as a result of your disability. To request an accommodation, please email us at ***************************** and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

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

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. At Airtable, we're passionate about democratizing software creation-empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale. As one of the data engineers at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions. What you'll do Work between our engineering organization and stakeholders from our data science, growth, sales, marketing, and product teams, to understand the data needs of the business and produce pipelines, data marts, and other data solutions that enable better product and growth decision-making. Design and update our foundational business tables in order to simplify analysis across the entire company. Continue to improve the performance and reliability of our data warehouse. Build and enforce a pattern language across our data stack, ensuring that our data pipelines and tables are consistent, accurate, and well-understood. Who you are You have 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow. You've wrangled enough data to understand how often the complex systems that produce data can go wrong. You are proficient in at least one programming language (preferably Python), and are willing to become effective in others as needed to get your job done. You are highly effective with SQL and understand how to write and tune complex queries. You're passionate and thoughtful about building systems that enhance human understanding. You communicate with clarity and precision in written form; experience communicating with graphs and plots. Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is:$179,500-$221,500 USD Please see our Privacy Notice for details regarding Airtable's collection and use of personal information relating to the application and recruitment process by clicking here. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at ***************. Learn more about avoiding job scams here.

We are seeking hands on Data Engineer to build out the next generation data warehouse/mess for the organization. To solve the data availability and access issues of all data across the organization. Enabling a graph of connectivity between 100s of data sets. We need people that are enthusiastic about enabling internal and external clients by streamlining and facilitating easy access to their critical data that is well defined and has established transparent levels of quality. This engineer will leverage our data platforms to achieve this, while providing critical input to extend data platform capabilities. Familiarity with ETL and Cloud Platform data pipeline solutions is critical, as is REST API authoring for data access. Primary Responsibilities Member of the Business Date Engineering team, work to deliver Data Ingest/Enrich Pipelines, and Access APIs using common cloud technologies. Work with consumers to understand the data requirements and deliver data contracts with well defined SLIs to track SLA agreements. Harness modern application best practices with code quality, API test Coverages, Agile Development, DevOps, and Observability and support. Maintain programming standards and ensure the usage of the pattern / template for API Proxy. Conduct code reviews and automatic test coverage Standardize the CI/CD setup for API management tools and automated deployment. Utilize problem-solving skills to help your peers in the research and selection of tools, products, and frameworks (which is vital to support business initiatives) We are seeking hands on Data Engineer to build out the next generation data warehouse/mess for the organization. To solve the data availability and access issues of all data across the organization. Enabling a graph of connectivity between 100s of data sets. We need people that are enthusiastic about enabling internal and external clients by streamlining and facilitating easy access to their critical data that is well defined and has established transparent levels of quality. This engineer will leverage our data platforms to achieve this, while providing critical input to extend data platform capabilities. Familiarity with ETL and Cloud Platform data pipeline solutions is critical, as is REST API authoring for data access. Qualifications & Experience Hands-on development expertise in Java, Python, GraphQL, SQL, Junit, Spring Boot, OpenAPI, Spark, Flink, Kafka Experience working in cloud data platforms such as Azure, Snowflake, Yellowbrick, Singlestore, GBQ Understanding of Databases, API Frameworks, Governance Frameworks, and expertise in hosting and managing platforms like: Hadoop, Spark, Flink, Kafka, SpringBoot, BI Tools like Tableau, Alteryx, Governance Tools like Callibra, Soda, Amazon DeeQu Strong understanding of Twelve-Factor App Methodology Solid understanding of API and integration design principles and pattern experience with web technologies. Design object-oriented, modularized, clean, and maintainable code and creating policies in Java, JavaScript, Node JS, Python etc. Experience with test-driven development and API testing automation. Demonstrated track record of full project lifecycle and development, as well as post-implementation support activities Hands-on experience in designing and developing high volume REST using API Protocols and Data Formats. Additional Qualifications Financial experience: Public and Alternatives Asset Management Familiar in NoSQL\NewSQL databases Working with Azure API and DB Platforms Strong documentation capability and adherence to testing and release management standards Design, development, modification and testing of databases designed to support Data Warehousing and BI business teams Familiarity with SDLC methodologies, defect tracking (JIRA, Azure DevOps, ServiceNow etc.) Soft Skills: Candidate must have an analytical and logical thought process for developing project solutions Strong interpersonal and communication skills; works well in a team environment Ability to deliver under competing priorities and pressures. Excellent organizational skills in the areas of code structuring & partitioning, commenting and documentation for team alignment and modifications Pay Range $85,000 - $105,000 Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity. The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law. The contents of the qualifications and experience section of this job description are a guideline only. If an applicant can otherwise demonstrate their suitability for the role they will be considered. T he base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.