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ai data engineer (agent platform)

data engineer finance

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As Notion continues to grow rapidly, we're seeking talented data engineers to join our team and help us build the foundational datasets and pipelines for robust financial reporting. You'll be at the forefront of integrating our product, financial, and business systems to create rock solid processes that will propel us forward. If you're passionate about analytics use cases, data models, and solving complex data problems, then we want you on our team.
 <br/>
 <br/>
 <strong>
  What You'll Achieve
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You'll build core datasets to serve as the sources of truth for Notion&rsquo;s financial reporting, integrating data from financial systems, business systems data and Notion&rsquo;s product.
  </li>
  <li>
   You&rsquo;ll partner closely with our Finance, Monetization Engineering, Business Intelligence and Data Science teams to support critical financial reporting and analysis needs.
  </li>
  <li>
   You'll design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size.
  </li>
  <li>
   You&rsquo;ll help democratize access to high quality financial data across Finance, Staff and go-to-market teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You've spent 4+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. You are passionate about analytics use cases, data models and solving complex data problems.
  </li>
  <li>
   You&rsquo;ve built integrations with and reporting datasets for payments, finance and business systems like Stripe, Netsuite, Adaptive, Anaplan, Salesforce and/or others.
  </li>
  <li>
   You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs
  </li>
  <li>
   You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)
  </li>
  <li>
   You are a SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries
  </li>
  <li>
   You are comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)
  </li>
  <li>
   You don&rsquo;t need to be an AI expert, but you&rsquo;re curious and willing to adopt AI tools to work smarter and deliver better results
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)
  </li>
  <li>
   You have hands-on experience building payment processing and invoice systems or have worked closely with teams that do this.
   <br/>
   <br/>
  </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $170,000 - $240,000.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
</div>


Data Engineer, Finance

Rippling

<div><h2 class="jobSectionHeader"><b>About Rippling</b></h2><p>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.</p><p></p><p><br>
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds.</p><p></p><p><br>
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes.</p><p></p><p><br>
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.</p><h2 class="jobSectionHeader"><b><br>
About the role</b></h2><p>
 The Data Cloud team provides comprehensive, cross-application data insights for our customers. Our products&mdash;such as reporting, dashboards, data catalogs, and transformations&mdash;help customers understand and utilize their data to make informed decisions.</p><p></p><p><br>
As a Frontend Engineer on the Transformations and Lineage team within Rippling's Data Platform org, you'll help build the user-facing layer of Rippling Data Cloud, the company's most ambitious data product to date. You'll work on a browser-based SQL/RQL editor, data pipeline scheduling flows, and a lineage explorer that helps customers understand how their data is connected and where it comes from.</p><p></p><p><br>
This role sits at the center of Rippling's data and AI story: every Rippling AI query that answers a customer's business question flows through the systems this team owns, making it a high-impact, high-visibility position for an engineer who's comfortable owning product surfaces end-to-end and collaborating closely with backend engineers on data contracts and system design.</p><h2 class="jobSectionHeader"><b>
What you will do</b></h2><ul><li>
Serve as a technical subject matter expert and leader within the team</li><li>
Share your expertise and mentor a growing team of engineers</li><li>
Continuously raise the bar for engineering quality by driving best practices in coding, testing, and deployment</li></ul><h2 class="jobSectionHeader"><b>
What you will need</b></h2><ul><li>
Depth and quality of experience are more important than years, though successful candidates typically have 2+ years of development experience</li><li>
Strong experience building well-tested, composable components in React, including design systems and component libraries</li><li>
An eye for detail in the user experience&mdash;polish, readability, accessibility, and performance</li><li>
Skilled in performance tuning for dynamic, front-end-heavy applications</li><li>
Experience working with systems at significant technical and organizational scale</li><li>
Ability to thrive in fast-paced, dynamic environments</li><li>
Comfortable navigating ambiguity and identifying high-impact opportunities</li><li>
Proven ability to influence technology decisions across teams</li><li>
Excellent written and verbal communication of complex technical ideas</li></ul><h2 class="jobSectionHeader"><b>
Additional Information</b></h2><p>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com</p><p></p><p><br>
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.</p><p></p><p><br>
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.</p><p></p><p><br>
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.</p><b><br>
The pay range for this role is:</b><br>
135,000 - 225,000 USD per year(US Tier 1)</div>

Software Engineer II, Frontend Fullstack - Data Cloud

Handshake

<div>
 <strong>
  About Handshake
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Why Join Handshake Now
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re hiring an
 <strong>
  Associate Software Engineer
 </strong>
 to help build our Reinforcement Learning Environments (RLE) platform&mdash;the systems where frontier AI models learn to complete real-world work.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 San Francisco, CA (in-office, 5 days/week)
 <br/>
 <br/>
 What You&rsquo;ll Do
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 What We&rsquo;re Looking For
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Have
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 What Success Looks Like
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Perks
  <br/>
  <br/>
 </strong>
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 <br/>
 <br/>
 The below benefits are for full-time US employees.
 <br/>
 <br/>
 🎯 Ownership: Equity in a fast-growing company
 <br/>
 <br/>
 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
 <br/>
 <br/>
 🍼 Family Support: Paid parental leave, fertility benefits, parental coachin
 <br/>
 <br/>
 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
 <br/>
 <br/>
 📚 Growth: $2,000 learning stipend, ongoing development
 <br/>
 <br/>
 💻 Office: Commuting support, free lunch, and gym in our SF office
 <br/>
 <br/>
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 <br/>
 <br/>
 🤝 Connection: Team outings &amp; referral bonuses
 <br/>
 <br/>
 Compensation Range: $135K - $150K
 <br/>
 <br/>
</div>


Associate Software Engineer, RLE

Apple

<p>The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.<br>
<br>
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact!<br>
<br>
<b>Description</b><br>
<br>
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance.<br>
<br>
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems.<br>
<br>
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks.<br>
<br>
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases.<br>
<br>
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals.<br>
<br>
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures.<br>
<br>
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience leading zero-to-one initiatives for AI product development<br>
<br>
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models<br>
<br>
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts<br>
<br>
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus<br>
<br>
Excellent communication skills with the ability to translate technical concepts into business terms<br>
<br>
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications<br>
<br>
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment<br>
<br>
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks<br>
<br>
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar)<br>
<br>
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.)<br>
<br>
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

AI Engineer, AI & Data Platforms (AiDP)

FloQast

<div><div><p>As a Forward Deployed Accountant (FDA), you&rsquo;ll lead the deployment of FloQast&rsquo;s Transform AI Agents for corporate customers, helping them automate core accounting workflows and improve operational efficiency. You&rsquo;ll work directly with customers to understand their processes, configure automation solutions, and deliver tangible outcomes.</p>
<p>
This is a customer-facing role for accounting professionals who are eager to apply their domain knowledge in a technical setting and grow their skills at the intersection of finance and AI-powered automation.</p>
<ul><li><b>Visa sponsorship is NOT available at this time</b></li></ul>
<p><i>
This is a remote position, but candidates MUST be based in the Bay Area.</i></p></div>
<div><div><h3 class="jobSectionHeader"><b>
What You'll Do:</b></h3><div><div><ul>
<li>Build and deploy AI Agents that automate low to medium-complexity accounting workflows for corporate accounting teams, ensuring accurate configuration, testing, and documentation.</li>
<li>Enable corporate accounting teams to build and deploy AI Agents by delivering structured training, hands-on workshops, guided build sessions, and office hours, while supporting customers in identifying automation opportunities, assessing use case feasibility, and use case scoping.</li>
<li>Accelerate adoption across corporate accounting teams by leading enablement sessions and ongoing coaching that help users build confidence in designing, deploying, and maintaining their own AI Agents.</li>
<li>Perform basic troubleshooting by reviewing Agent configurations, validating inputs and outputs, and coordinating escalation with technical or integration resources as needed.</li>
<li>Support product improvement by sharing customer feedback and observations, participating in feature testing, and identifying usability gaps or enhancement opportunities.</li>
<li>Guide partner-led implementations by working closely with partner consultants, ensuring adherence to internal delivery guidelines, and delivering training to develop partner proficiency.</li>
<li>Travel as needed (up to 30%) to customer sites for hands-on deployment, training, and adoption workshops.</li>
<li>Lead internal enablement sessions by training team members on Transform&rsquo;s Agent-building tools, sharing technical best practices, and equipping them to confidently support customers in building and deploying AI Agents.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Bring:</b></h3><div><div><ul>
<li>2&ndash;4 years of experience in accounting, audit, or accounting operations roles, with strong familiarity with core workflows such as reconciliations, journal entries, variance reviews, and month-end close activities.</li>
<li>Background in accounting required, CPA preferred. Experience in public accounting, audit, or corporate accounting is strongly preferred.</li>
<li>Familiarity with workflow automation, system optimization, or technology-enabled accounting processes.</li>
<li>Familiarity with data-flow, API, and integration concepts commonly used in accounting system.</li>
<li>Strong communication skills to lead training sessions, workshops, and guided build sessions with corporate accounting teams.</li>
<li>Ability to break down complex accounting processes and convert them into structured automation steps</li>
<li>Strong organizational skills to manage training schedules, documentation, and customer enablement activities.</li>
<li>Willingness to travel for corporate customer training, workshops, and enablement engagements.</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Nice to Haves:</b></h3><div><div><ul>
<li>CPA or degree in Accounting or Finance</li>
<li>Experience in Professional Services, Finance Transformation, or Process Optimization, ideally serving accounting or audit functions.</li>
<li>Experience with ERP systems (e.g., NetSuite, Intacct, Microsoft Dynamics) and accounting close processes</li>
<li>Familiarity with AI or automation platforms: LLM-based agents, RPA tools (e.g., UiPath), or AI workflow builders</li>
<li>Previous roles similar to Forward Deployed Engineer, Resident Consultant, or Embedded Solutions Architect</li>
<li>Experience designing or maintaining SQL-based reporting, and configuring API integrations between finance or operational systems</li>
<li>Strong business acumen with the ability to translate accounting/operational requirements into scalable technical workflows</li>
<li>Background in SaaS platforms focused on finance transformation, compliance, or accounting automation</li>
</ul></div></div></div></div><div><div><div>The base pay range for this position is $89,600 - $134,000. This position is eligible for a bonus plan in addition to base pay. Compensation is not limited to base salary. FloQast values our Total Rewards, and offers a competitive and elaborate Benefits Package including, but not limited to, Medical, Dental, Vision, Family Forming benefits, Life &amp; Disability Insurance, Unlimited Vacation and participation in our Employee Stock Program. FloQast reserves the right to amend, change, alter, and revise pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to this position you understand that this specific pay range is contingent upon meeting the qualifications and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.</div>
<div></div>
<div>#LI-LB1</div>
<div>#LI-Hybrid1</div></div><div></div><div><br>
</div>
<div>About FloQast:</div>
<div>FloQast is the leading AI-powered Accounting Transformation Platform, uniquely built by former accountants for accountants. We automate complex, recurring accounting workflows&mdash;transforming preparers into strategic reviewers and relieving accountants from tedious manual work. Our cloud-based solution is trusted by over 3,500 world-class accounting teams, including Lululemon, Doordash, and the MLB, to drive collaboration and financial accuracy. Driven by a mission to continuously elevate the profession, FloQast is redefining both the practice and the perception of accounting on a global scale.</div>
<div></div>
<div>Our values act as a guiding compass, shaping every decision we make, and are non-negotiable, particularly in our hiring process. Alongside our employees, partners, and customers, we embody these values every day:</div>
<div><i>Unwaveringly Authentic</i></div>
<div><i>Ambitious with Integrity</i></div>
<div><i>Empowered to Grow</i></div>
<div><i>Committed to Collaboration</i></div>
<div><i>Customer Obsessed in All Ways</i></div>
<div></div>
<div>FloQast is regularly rated as a Best Place to Work!</div>
<ul><li>Inc. Magazine&rsquo;s Best Workplaces in 2025, 2024, 2023, 2022, and 2021</li></ul>
<ul><li>Best Places to Work by LA Business Journal since 2017 (that&rsquo;s 9 years!)</li></ul>
<ul><li>Built In&rsquo;s Best Place to Work in Los Angeles 7 years in a row!</li></ul>
<div></div>
<div>Because we are Customer Obsessed in All Ways, check out what our customers have to say about FloQast on G2 Crowd.</div><br>
<div></div>
<div></div>
<div><i>FloQast, Inc is committed to operating fair and unbiased recruitment procedures allowing all applicants an equal opportunity for employment, free from discrimination on the basis of religion, race, sex, age, sexual orientation, disability, color, ethnic or national origin, or any other classification as may be protected by applicable law. We aim to recruit the right people for the jobs we have to offer, and to assess applications on the basis of relevant skills, education, and experience. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and strive to provide a professional and welcoming workplace for all employees.</i></div>
<div></div>
<div>Link to FloQast Recruiting AI Usage Policy</div></div>
<div><div>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.</div></div></div>

Forward Deployed Accountant

Capital One

<div>Distinguished Data Engineer - Card Data<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
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.</p><p><b><br>
About the Team: </b>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.</p><p><br>
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.</p><p><b><br>
Our Distinguished Engineers Are:</b></p><ul><li><p><br>
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</p></li><li><p>
Visionaries, collaborating on Capital One&rsquo;s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates</p></li><li><p>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community</p></li><li><p>
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</p></li></ul><p><b><br>
Responsibilities:</b></p><ul><li><p>
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in</p></li><li><p>
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</p></li><li><p>
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible</p></li><li><p>
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization</p></li><li><p>
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner</p></li><li><p>
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</p></li></ul><p><b><br>
Basic Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s Degree</p></li><li><p>
At least 7 years of experience in data engineering</p></li><li><p>
At least 3 years of experience in data architecture</p></li><li><p>
At least 2 years of experience building applications in AWS</p></li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li><p>
Masters&rsquo; Degree</p></li><li><p>
9+ years of experience in data engineering</p></li><li><p>
3+ years of data modeling experience</p></li><li><p>
2+ years of experience with ontology standards for defining a domain</p></li><li><p>
2+ years of experience using Python, SQL or Scala</p></li><li><p>
1+ year of experience deploying machine learning models</p></li><li><p>
3+ years of experience implementing big data processing solutions on AWS</p></li></ul><p><b><i><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position</i></b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p>
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.</p><p></p>
Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer<br>
<p></p>
McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer<br>
<p></p>
New York, NY: $293,600 - $335,100 for Distinguished Data Engineer<br>
<p></p>
Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer<br>
<p></p>
San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer<p></p><p><br>
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.</p><p></p>
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.<p></p><p>
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.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
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.<p></p><p>
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.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
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.</p><p></p><p>
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).</p></div>

Distinguished Data Engineer - Card Data

Meter

<div>
 Why this role exists
 <br/>
 <br/>
 Network engineers carry the most valuable signal in the world in their heads, and it disappears the moment they close a ticket.
 <br/>
 <br/>
 Your job is to build the system that captures that signal so that our models can learn to think like network engineers.
 <br/>
 <br/>
 If you get this right, Meter can manage thousands of customers&rsquo; networks autonomously, without adding a single engineer.
 <br/>
 <br/>
 The problem you&rsquo;re walking into
 <br/>
 <br/>
 LLMs are good at code because of their access to Git. Commit messages explain why a change was made, PR threads capture expert disagreement, issue trackers record dead ends and eventual fixes. Models trained on that corpus of data don&rsquo;t just pattern-match, they&rsquo;ve seen millions of examples of human reasoning through problems.
 <br/>
 <br/>
 Network engineering has none of this. When a network engineer looks at a set of device stats and figures out it&rsquo;s upstream packet loss &mdash; not a hardware failure, not a misconfiguration, specifically upstream packet loss &mdash; that reasoning lives in their head. Never in a place a model can learn from.
 <br/>
 <br/>
 You will build the Git and Github for network engineering. A structured, queryable record of what the network looked like, what the expert notice, and why they made the call they made.
 <br/>
 <br/>
 What you will ship
 <br/>
 <br/>
 First 30 days
 <br/>
 <br/>
 Sit with our network engineers and watch how they work. Don&rsquo;t touch code yet. Understand what a great diagnostic reasoning record actually looks like and what data you&rsquo;ll need to build one. Map the existing landscape: telemetry in ClickHouse, configs in Postgres, support history in Salesforce.
 <br/>
 <br/>
 60 days in
 <br/>
 <br/>
 Ship a working v1 of the annotation interface. Network engineers should be able to open a historical support ticket, see what the network looked like at the time of the incident, and log their diagnostic reasoning against it. It doesn&rsquo;t have to be elegant, it has to be useful enough for engineers to want to use it.
 <br/>
 <br/>
 90 days in
 <br/>
 <br/>
 Our network engineers are generating training data independently without engineering support. The first model benchmarks built from the pipeline are running and you can point to a number knowing the model improved because of what you shipped.
 <br/>
 <br/>
 Tech Stack
 <br/>
 <br/>
 TypeScript, React, Go, GraphQL, Kafka, Postgres.
 <br/>
 <br/>
 Who you&rsquo;ll work with
 <br/>
 <br/>
 Our co-founder and CEO will lead the product roadmap.
 <br/>
 <br/>
 In addition to your customers, network engineers, you&rsquo;ll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. They&rsquo;re excited to have a partner in building the app.
 <br/>
 <br/>
 Measuring success
 <br/>
 <br/>
 <ul>
  <li>
   Within 90 days, Network engineers are generating training data independently, without pinging you
  </li>
  <li>
   We have a large set of high-quality annotated cases in the pipeline
  </li>
  <li>
   Model benchmark scores are moving in the right direction because of the data this pipeline produced
   <br/>
   <br/>
  </li>
 </ul>
 What we&rsquo;re looking for
 <br/>
 <br/>
 You&rsquo;ve built backend systems end-to-end and made real architectural decisions with real consequences. You have opinions about data storage that come from having made the wrong decisions.
 <br/>
 <br/>
 You have deep customer empathy. You&rsquo;ll spend your first weeks learning how network engineers think and work. This knowledge will shape your future decisions.
 <br/>
 <br/>
 You care about people using the tools you built for them. Network engineer tool adoption and satisfaction leads to critical training data, model improvement, and eventually autonomous networks.
 <br/>
 <br/>
</div>


Software Engineer, Models

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