data engineer

software engineer

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai data engineer (agent platform) Jobs in San Francisco

ai data engineer (agent platform)

ai engineering lead Jobs in San Francisco

ai engineering lead

senior data engineer

oura

<div><div>Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work &mdash; both in and out of the office.</div><div>
We are looking for a Senior Data Engineer to join our Data &amp; ML Platform team, responsible for development, maintenance and support for Oura&rsquo;s Datalake and adjacent systems, collaborating closely with data scientists, analysts and other departments utilizing the Datalake.

This is a hybrid role based in San Francisco, CA, working onsite 1-2 days per week.

We have offices in San Francisco, San Diego and Los Angeles for those who prefer hybrid or office settings. Oura employees in other major cities (like Boston and New York) occasionally gather informally at local co-working locations.

What you will do:
<ul>
<li>Build, operate, and improve Oura&rsquo;s Datalake consisting of systems to move, process, and store large amounts of data (Terabyte&ndash;Petabyte scale) leveraging tools such as AWS Kinesis, S3, Spark / Glue, Athena, dbt, Iceberg, Snowflake, Docker, workflow engines, and more.</li>
<li>Design and implement data models and pipelines with a strong focus on data quality, reliability, and governance.</li>
<li>Ensure that our data platform and processes meet privacy, compliance, and security requirements.</li>
<li>Build components that support the handling of datasets, training, testing, and release of new on-device and cloud-based ML models.</li>
<li>Independently collaborate with different stakeholders including Data Scientists, Testing, Firmware, and Hardware to define and implement improvements and new functionality and support internal Datalake consumers in their day-to-day work.</li>
<li>Write code, mostly in Python and SQL with occasional additions Typescript, Java or some other language.</li>
</ul>
We would love to have you on our team if you have:
<ul>
<li>5+ years of experience developing and operating production systems.</li>
<li>Experience running, monitoring, and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.</li>
<li>Good architectural understanding of event-driven architectures, workflow engines, database, and data warehouse systems.</li>
<li>Ability to design robust data models and pipelines, with attention to data accuracy and integrity.</li>
<li>Experience in building infrastructure and components following best practices such as CI/CD and infrastructure as code.</li>
<li>Demonstrated skills in writing well-structured, testable, and high-performance code.</li>
<li>Familiarity with some of the following: Workflow engines, Stream processing, MLops, Spark, Athena, SQL, dbt, Databricks.</li>
<li>You are self-motivated, proactive, and able to lead and manage your own work effectively.</li>
<li>A pragmatic and goal oriented approach to development.</li>
</ul>
What Makes You Stand Out
<ul>
<li>Real-life experience with Databricks.</li>
<li>Familiarity and experience with the Data Mesh approach</li>
<li>Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages</li>
</ul>
Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li>
</ul>
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
<ul>
<li>Region 1 $172,550 - $203,000</li>
<li>Region 2 $159,000 - $187,000</li>
<li>Region 3 $148,000 - $174,000</li>
</ul>
A recruiter can determine your zones/tiers based on your US location.</div><div><div>

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers! 
We&rsquo;ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
Stay cautious and protect your personal details.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.</div></div></div>

Senior Data Engineer - Data & ML Platform

Capital One

<div>Distinguished Data Engineer - Card Data<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. 
About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank&rsquo;s core profitability and security, this is your team. 
This leader must have the ability to attract and recruit the industry&rsquo;s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. 
Our Distinguished Engineers Are:<ul><li> 
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices</li><li>
Visionaries, collaborating on Capital One&rsquo;s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates</li><li>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community</li><li>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities</li></ul> 
Responsibilities:<ul><li>
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in</li><li>
Strike the right balance between lending expertise and providing an inclusive environment where others&rsquo; ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team</li><li>
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible</li><li>
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization</li><li>
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner</li><li>
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One&rsquo;s Tech talent</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years of experience in data engineering</li><li>
At least 3 years of experience in data architecture</li><li>
At least 2 years of experience building applications in AWS</li></ul> 
Preferred Qualifications:<ul><li>
Masters&rsquo; Degree</li><li>
9+ years of experience in data engineering</li><li>
3+ years of data modeling experience</li><li>
2+ years of experience with ontology standards for defining a domain</li><li>
2+ years of experience using Python, SQL or Scala</li><li>
1+ year of experience deploying machine learning models</li><li>
3+ years of experience implementing big data processing solutions on AWS</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer 

McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer 

New York, NY: $293,600 - $335,100 for Distinguished Data Engineer 

Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer 

San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Distinguished Data Engineer - Card Data

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 ROLLER Recharge days to celebrate and recharge once we've hit our goals
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 
 
 </li>
 </ul>
 What You Can Expect
 
 
 <ul>
 <li>
 
 Initial call with our Talent Acquisition Manager
 
 You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
 </li>
 <li>
 
 Interview with the Hiring Manager
 
 You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.
 </li>
 <li>
 
 Loop Interviews
 
 This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!
 </li>
 <li>
 
 Offer
 
 If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
 </li>
 </ul>
</div>

Data Engineer

Octave

<div><h3 class="jobSectionHeader">About the Company:</h3>

Octave is a modern behavioral health practice creating a new standard for care delivery that's both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.
<h3 class="jobSectionHeader">
About the Role:</h3>

We're looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data.
<h3 class="jobSectionHeader">
Responsibilities Include:</h3>
<ul><li>Design, build, and maintain scalable systems independently for ingestion, transformation, and storage of data, with a focus on testing and observability.</li>
<li>Implement frameworks, tooling, and automation to safely increase development velocity.</li>
<li>Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards).</li>
<li>Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility).</li>
<li>Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3>
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field.</li>
<li>5+ years of experience in data engineering, platform engineering, or ML engineering.</li>
<li>Experience working with major cloud data platforms and tools:</li>
<li>Preferred experience:
<ul><li>Healthcare, behavioral health, EHR systems, and/or regulated industries.</li>
<li>Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery.</li>
</ul></li><li>Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling.</li>
<li>Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD.</li>
<li>Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn).</li>
<li>Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs.</li>
<li>A collaborative mindset, dependable execution, drive to reflect and improve, and humility to ask questions and learn.</li>
</ul><h3 class="jobSectionHeader">Octave's Company Values:</h3>

The below values drive our day-to-day operations.
<ul>
<li>We're human beings first. We operate with empathy and kindness &ndash; with our clients, with our collaborators, and with ourselves.</li>
<li>People deserve better than status quo. We're willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.</li>
<li>No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.</li>
<li>Partnership paves the path ahead. We don't operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.</li>
<li>Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.</li>
<li>Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust &ndash; and always leave things better than we found them.</li>
<li>There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.</li>
</ul><h3 class="jobSectionHeader">Physical Requirements:</h3>
<ul><li>Prolonged periods sitting at a desk and working on a computer.</li>
<li>Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.</li>
<li>Must be able to observe and communicate information on company provided laptop.</li>
<li>Move up to 10 pounds on occasion.</li>
<li>Must be eligible to work in the United States without sponsorship now or in the future.</li>
</ul><h3 class="jobSectionHeader">Compensation:</h3>

Octave is committed to pay equity. To maintain our commitment to pay equity, Octave will follow Pay Transparency regulations on all open job postings. Current Pay Transparency laws require companies to include a position's salary or hourly wage range (not including bonuses or equity-based compensation) in any internal or external job posting. This requirement extends to job postings published by a third party at an employer's request.

Octave 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 the employer, or (c) consistent with Octave's legal duty to furnish information.

Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future.

The salary range for Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.) is $142,600 - $153,100.

The salary range for Geo 2 (CO, HI, MD, RI) is $156,900 - $168,400.

The salary range for Geo 3 (AK, CA, CT, MA, NJ, NY, WA) is $164,000 - $176,000.

All Geos are eligible for equity in the form of stock options.

Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&amp;D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
<h3 class="jobSectionHeader">
How We Use Technology in Hiring:</h3>

As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.<div>
Application Instructions:

Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.</div></div>

Sr. Data Engineer

Verse

<div>
 
 Location:
 
 United States (remote)
 
 
 
 What is Verse?
 
 
 
 Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world&rsquo;s largest energy buyers, managing energy has never been more complex or more critical.
 
 
 Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence&mdash;replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
 
 
 
 The Role
 
 
 
 You will be a member of the technical staff designing, building, and maintaining the next generation of data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across a diverse range of data at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations focused on data. As a technical leader with advanced data engineering expertise, teammates will look to you to vet proposals, solutions to internal and customer-facing problems, system designs, and drive the implementation of these solutions with highest standards of software-engineering best practices. You will be an integral part of scaling our data platform as the company grows.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle
 </li>
 <li>
 Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate
 </li>
 <li>
 Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks
 </li>
 <li>
 Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows
 </li>
 <li>
 Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates
 </li>
 <li>
 Participate in code reviews, maintain technical documentation, and adhere to best software development practices
 
 
 </li>
 </ul>
 
 What We're Looking For (Minimum Qualifications)
 
 
 
 <ul>
 <li>
 Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems
 </li>
 <li>
 Deep understanding of databases, data {lake,ware}house architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments
 </li>
 <li>
 Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings
 </li>
 <li>
 Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices
 </li>
 <li>
 Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team
 </li>
 <li>
 Discipline using generative AI tools in day-to-day work
 
 
 </li>
 </ul>
 
 What Will Make You Standout (Preferred Qualifications)
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Senior level software development talent and up
 </li>
 <li>
 Proven track record being a technical leader in high-performing data engineering teams
 </li>
 <li>
 Intimate knowledge of scaling &ldquo;big data&rdquo; solutions in cloud-based environments
 </li>
 <li>
 Hands on experience deploying and maintaining software such as Hadoop, Spark, Airflow, DBT, Dagster, Temporal, Presto/Trino, Iceberg, AlloyDB, Postgres, HBase, BigQuery, BigTable, Fabric, Hive, RedShift, S3, GCS, etc.
 </li>
 <li>
 Experience building event-driven architectures with streaming tools such as Kafka, NATS, GCP Pub/Sub, Kinesis, Bufstream, Flink, Beam
 </li>
 <li>
 Knowledge of managed or hosted data solutions such as Databricks, Snowflake, ClickHouse, Tinybird, etc
 </li>
 <li>
 Practical knowledge working with data in formats like Parquet, Avro, Protobuf, time series, text, image, video
 </li>
 <li>
 Working closely to support AI/ML-focused teams (knowledge of MLflow and Ray is a big a plus)
 </li>
 <li>
 Comfort building internal dashboards and data-focused visualizations
 
 
 </li>
 </ul>
 
 What Makes Verse a Great Place to Work?
 
 
 
 <ul>
 <li>
 
 Lead with Empathy:
 
 We lift each other up with humility and kindness, always putting colleagues and customers first
 </li>
 <li>
 
 Be Honest &amp; Transparent:
 
 We prioritize effective communication to build trust with our team, customers, and stakeholders
 </li>
 <li>
 
 Move with Balance &amp; Precision:
 
 We believe speed and perseverance must be accompanied by thoughtfulness and reflection
 </li>
 <li>
 
 Leave the World a Better Place:
 
 We are passionate about our mission, and we strive to create a sustainable world for future generations
 
 
 </li>
 </ul>
 
 Base Pay Range
 
 
 
 $180,000 - $250,000+
 
 
 
 This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
 
 
 
 
 Benefits and Employee Perks
 
 
 
 <ul>
 <li>
 Competitive compensation and equity grant at a high-growth start up
 </li>
 <li>
 Comprehensive benefits package including medical, dental and vision insurance, and 401k
 </li>
 <li>
 Flexible hours and unlimited PTO
 </li>
 <li>
 Diverse and inclusive working environment
 
 
 </li>
 </ul>
 Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.
</div>

Software Engineer, Data Engineering

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We&rsquo;re hiring an
 
 Associate Software Engineer
 
 to help build our Reinforcement Learning Environments (RLE) platform&mdash;the systems where frontier AI models learn to complete real-world work.
 
 
 This is a hands-on, growth-oriented role where you&rsquo;ll contribute to building core systems, learn quickly from senior engineers, and gain exposure to cutting-edge AI infrastructure.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Contribute to building RLE environments and supporting infrastructure
 </li>
 <li>
 Implement features across backend systems and frontend interfaces
 </li>
 <li>
 Work with senior engineers to improve system reliability and performance
 </li>
 <li>
 Help build modular workflow domains (e.g., engineering, finance, legal)
 </li>
 <li>
 Support data pipelines that power model training and evaluation
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 0&ndash;2 years of experience (internships or full-time) in software engineering
 </li>
 <li>
 Familiarity with backend development and APIs
 </li>
 <li>
 Working knowledge of ReactJS and TypeScript
 </li>
 <li>
 Understanding of databases (e.g., PostgreSQL) and basic system design
 </li>
 <li>
 Eagerness to learn and operate in fast-paced environments
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to cloud platforms (AWS, GCP)
 </li>
 <li>
 Experience with data pipelines or ML-adjacent systems
 </li>
 <li>
 Interest in AI/ML or simulation systems
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 <ul>
 <li>
 Ships reliable features that improve RLE functionality
 </li>
 <li>
 Grows into owning small components independently
 </li>
 <li>
 Contributes to faster iteration and better developer velocity
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯 Ownership: Equity in a fast-growing company
 
 
 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
 
 
 🍼 Family Support: Paid parental leave, fertility benefits, parental coachin
 
 
 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚 Growth: $2,000 learning stipend, ongoing development
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $135K - $150K
 
 
</div>

Associate Software Engineer, RLE

Explore 437+ Senior data engineer in San Francisco this May. Find roles across top companies and apply now to boost your career.