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distinguished software data engineer

Capital One

<div>Distinguished Software Data Engineer
As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.
At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.
Distinguished Engineers are individual contributors who strive to be diverse in thought so we holistically 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. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.
We expect our Distinguished Engineers to be<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 who challenge the status quo, 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</li></ul>
In this role, you will work with our Enterprise Data Platform team to drive design and architecture of Capital One&rsquo;s mission critical Data Platforms.<ul><li>
You will define and execute a bold technical strategy for a unified Data Product architecture, engineering high-scale solutions for standardized, well-governed data creation that serves as the bedrock for enterprise-wide AI readiness. By modernizing our foundational Business Data Catalog, you will transform how the organization discovers and consumes data, turning fragmented datasets into high-fidelity, machine-ready assets.</li><li>
You will act as the bridge between deep engineering and business impact, to institutionalize and drive the adoption of rigorous data standardization practices, ensuring that our data consumption layer becomes a competitive engine that enables the enterprise to innovate with speed and precision.</li><li>
You are a visionary builder who balances high-level architecture with &quot;hands-on-keyboard&quot; execution, designing resilient, multi-tenant distributed systems and event-driven patterns that redefine enterprise scale.</li><li>
As the authoritative expert in data consumption, you don't just advise&mdash;you build the proof-of-concepts and exploratory analyses that bridge the gap between abstract tech strategy and mission-critical, production-grade solutions.</li><li>
Beyond the code, you are a catalyst for growth, mentoring the next generation of world-class engineers and championing a culture of inclusive excellence and inner-sourcing.</li><li>
You command the technical depth to influence executive strategy and the hands-on credibility to lead the enterprise-wide shift toward modern, AI-ready technologies.</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.
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.
McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer 

San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer 

San Jose, 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 Software Data Engineer

Romano-Nguyen Plastic Surgery

Clinical Coordinator &amp; Doctor's Assistant: Mentorship in Pacific HeightsThe Practice: A distinguished, high-end Plastic Surgery boutique practice in San Francisco with two exceptional Board-Certified Plastic Surgeons. We provide a &quot;calm and human&quot; patient-centric experience&mdash;no insurance, no assembly lines, just elite care.Your Opportunity: Your Bridge to Medical, PA, or NP SchoolThis isn&rsquo;t just a front-office job; it is a hands-on Gap Year Experience. We are looking for a high-achieving student who wants to see the &quot;real world&quot; of medicine in a private practice. We offer a seat at the table in a respected private practice where you will learn the balance of clinical excellence and boutique business management.Why This Role Stands Out:<ul><li>Direct Clinical Access: You won&rsquo;t just be behind a desk. You will interview and screen patients, assist in exam rooms, and observe surgeries firsthand.</li><li>Creative Ownership: Become the voice of the practice. You will lead our patient newsletters and social media posts, translating complex aesthetic procedures into engaging, educational content for our community.</li><li>UCSF Faculty Mentorship: Work directly with surgeons who are actively teaching the next generation of surgeons at one of the top hospitals in the country.</li><li>Ultimate Flexibility: We support your journey. Whether you need 3, 4, or 5 days a week to balance MCAT prep or classes, we can be flexible</li></ul>What You&rsquo;ll Do:<ul><li>Patient Concierge: Act as the face of the practice, ensuring a personalized, high-end experience from the first phone call to post-op recovery.</li><li>Clinical Coordination: Manage the &quot;big picture&quot; of the practice, blending administrative leadership with hands-on patient interaction.</li><li>Digital Engagement: Utilize your communication skills to draft newsletters and create professional posts that reflect the high standards of our brand.</li><li>Practice Operations: Master the software and organizational systems required to run a distinguished, insurance-free private practice with a high-tech electronic medical record system.</li></ul>Who You Are:<ul><li>The Future Provider: Ideally a Gap Year student applying to Medical, NP, or PA school. We are looking for at least a 1 year commitment, though longer is encouraged.</li><li>A True Professional: You are extremely professional in appearance, words, and demeanor. You understand that in Pacific Heights, excellence is in the details.</li><li>A Clear Communicator: You have a knack for writing and a creative eye for social media, digital newsletters, office education handouts, and patient communication.</li><li>Experience: Background in aesthetics, hospitality, or customer service is a plus, but we are happy to train the right candidate.</li></ul>The Essentials:<ul><li>Pay: $20.00 - $25.00 per hour + Bonus Opportunities.</li><li>Perks: Paid Time Off, Paid Holidays</li><li>Schedule: Monday&ndash;Friday (No weekends).</li></ul>How to ApplyWe want to know the person behind the resume. Please submit your resume along with a cover letter explaining why you are interested in this role and how it fits into your future medical career goals.Job Types: Full-time, Part-timePay: $20.00 - $25.00 per hourBenefits:<ul><li>Flexible schedule</li><li>Paid sick time</li><li>Paid time off</li><li>Professional development assistance</li></ul>Work Location: In person

Clinical Coordinator and Doctor's Assistant

Cognition

<div><h2 class="jobSectionHeader">We are an applied AI lab building end-to-end software agents.</h2>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.<h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re hiring a Data Engineer to help own our data stack &mdash; from database architecture and pipelines to integrations and reporting. You&rsquo;ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.
In this role you will:<ul><li>
Design and manage database architecture and data models with a focus on finance and accounting use cases</li><li>
Build and maintain ETL/ELT pipelines and orchestration workflows</li><li>
Create and manage data integrations across internal and external financial systems</li><li>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</li><li>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</li><li>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</li><li>
Ensure data quality, observability, governance, and documentation</li></ul>
Requirements for the role:<ul><li>
5+ years in a data engineering, analytics engineering, or a full-stack data role</li><li>
Expert SQL and strong Python (or R)</li><li>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</li><li>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</li><li>
Experience building or maintaining BI reporting (Metabase a plus)</li><li>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</li><li>
Experience with FP&amp;A processes, close workflows, and financial reporting</li><li>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</li><li>
Based in SF and willing to be in office 5 days a week</li></ul></div>

Data Engineer - Finance

Cognition AI

<div><div>Location<div>
San Francisco Bay Area</div></div><div>
Employment Type<div>
Full time</div></div><div>
Location Type<div>
On-site</div></div><div>
Department<div>
General &amp; Administrative</div></div></div>
 <div><div><div>We are an applied AI lab building end-to-end software agents.</div>
We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
We&rsquo;re hiring a Data Engineer to help own our data stack &mdash; from database architecture and pipelines to integrations and reporting. You&rsquo;ll design and maintain the systems that keep our data reliable, accessible, and actionable across the Finance and Accounting organization.
In this role you will:<ul><li><div>
Design and manage database architecture and data models with a focus on finance and accounting use cases</div></li><li><div>
Build and maintain ETL/ELT pipelines and orchestration workflows</div></li><li><div>
Create and manage data integrations across internal and external financial systems</div></li><li><div>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</div></li><li><div>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</div></li><li><div>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</div></li><li><div>
Ensure data quality, observability, governance, and documentation</div></li></ul>
Requirements for the role:<ul><li><div>
5+ years in a data engineering, analytics engineering, or a full-stack data role</div></li><li><div>
Expert SQL and strong Python (or R)</div></li><li><div>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</div></li><li><div>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</div></li><li><div>
Experience building or maintaining BI reporting (Metabase a plus)</div></li><li><div>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</div></li><li><div>
Experience with FP&amp;A processes, close workflows, and financial reporting</div></li><li><div>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</div></li><li><div>
Based in SF and willing to be in office 5 days a week</div></li></ul></div></div>

Andiamo

<div>
 Generative AI Engineer - Pre-IPO Tech Company
 
 
 
 About The Role
 
 
 
 We are seeking a talented
 
 Generative AI Engineer
 
 to help design and build the next generation of AI-powered applications at a high-growth, pre-IPO technology company. You will work on applying large language models (LLMs), multimodal AI, and cutting-edge generative techniques to create products that transform how our customers interact with data, content, and decision-making systems.
 
 
 This is a hands-on engineering role at the intersection of AI research and scalable product development. You will collaborate with data scientists, ML engineers, and product managers to prototype, deploy, and optimize generative AI systems that deliver measurable customer and business impact.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop Generative Applications: Build production-ready systems leveraging LLMs and generative models for NLP, code, and multimodal use cases.
 </li>
 <li>
 Integrate with Products: Design APIs and services that embed generative AI capabilities into customer-facing applications.
 </li>
 <li>
 Optimize Models: Fine-tune, distill, and adapt foundation models to specific tasks and domains for efficiency and performance.
 </li>
 <li>
 Leverage Retrieval &amp; Memory: Implement retrieval-augmented generation (RAG), vector search, and embeddings for context-aware AI solutions.
 </li>
 <li>
 Ensure Reliability: Build monitoring and evaluation pipelines to track model quality, detect drift, and maintain trustworthiness in production.
 </li>
 <li>
 Collaborate Cross-Functionally: Work with researchers and product leaders to translate cutting-edge AI into practical features.
 </li>
 <li>
 Stay Ahead: Keep current with state-of-the-art generative AI research and frameworks, bringing new ideas and approaches into the company.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Professional Experience: 3-7 years in applied ML/AI engineering, with at least 1-2 years working on generative AI, LLMs, or related areas.
 </li>
 <li>
 Technical Skills: Proficiency in Python, strong experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex).
 </li>
 <li>
 LLM Experience: Hands-on experience fine-tuning or deploying large language models, and familiarity with APIs such as OpenAI, Anthropic, or similar.
 </li>
 <li>
 Infrastructure Knowledge: Experience with cloud ML platforms (AWS Sagemaker, GCP Vertex AI, Azure ML) and vector databases (Pinecone, Weaviate, Milvus, FAISS).
 </li>
 <li>
 Systems Thinking: Ability to design scalable pipelines for training, inference, and integration into production systems.
 </li>
 <li>
 Collaboration: Strong communication skills and ability to partner across engineering, product, and research teams.
 </li>
 <li>
 Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, AI/ML, or a related field; PhD a plus.
 
 
 </li>
 </ul>
 Why Join
 
 
 This is a unique opportunity to shape the future of generative AI at a pre-IPO company with $500M+ in funding. As a Generative AI Engineer, you&rsquo;ll work with state-of-the-art models, solve complex problems at scale, and bring transformative AI capabilities directly to customers. You&rsquo;ll be part of a high-growth team where innovation is encouraged, impact is immediate, and the future of AI is being built.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

AI/Generative AI Engineer

Wells Fargo

<div>About This Role: 
 
Wells Fargo is seeking a Senior Software Engineer in our Strategy, Digital &amp; Innovation Group as part of Digital Technology &amp; Innovation Line of Business. Learn more about the career areas and business divisions at wellsfargojobs.com. 
 
In this role, you will:<ul><li>
Lead complex initiatives to develop infrastructure to provide solutions for business applications</li><li>
Participate in various projects intended to continually improve or upgrade the infrastructure</li><li>
Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals</li><li>
Review and analyze high impact outages to ensure the proper processes and procedures are in place to avoid problems in the future</li><li>
Design, build, deploy and maintain infrastructure solutions through collaborative efforts with the team and third party vendors</li><li>
Design, code, test, debug and document programs using Agile development practices</li><li>
Make decisions in technical designs, implementation plans and identify project risks and resource requirements</li><li>
Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success</li><li>
Recommend courses of action to maintain cost effectiveness and achieve results</li><li>
Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals</li><li>
Interact with customer and vendor</li></ul>
Required Qualifications:<ul><li>
5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
5+ years of experience troubleshooting environments across the entire architecture (i.e., applications to infrastructure)</li><li>
3+ years of hands-on Linux administration experience</li></ul>
Desired Qualifications:<ul><li>
A BS/BA degree or higher in information technology</li><li>
Cloud Architect or Engineer Certifications (i.e. GCP, Azure, AWS, etc.)</li><li>
1+ years of experience in Artificial Intelligence, Natural Language Processing, Machine Learning, Distributed Computing, Chatbot, and Virtual Assistant</li><li>
1+ Years of experience supporting and monitoring Apache Flink solutions for real-time data processing</li><li>
Have experience with Docker, OpenShift Container Platform (OCP), Kubernetes, Terraform, or similar IaC technologies</li><li>
Have experience with MongoDB, Redis, Kafka, Postgres, GCP Big Query, etc. or similar data technologies</li><li>
High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy.</li><li>
Ability to lead projects/initiatives with high risk and complexity</li><li>
Ability to communicate highly complex technical information clearly and articulately for all levels and audiences.</li><li>
Ability to identify root-cause issues, articulate improvement opportunities, and design approaches/programs/products to improve overall quality assurance</li><li>
Understanding of system performance and how load drives utilization and customer experiences.</li><li>
Experience with Business Continuity Planning and Disaster Recovery, Application Resiliency/Highly Available Architecture, Site Resiliency</li></ul>
Job Expectations:<ul><li>
This position is not eligible for Visa sponsorship</li></ul><ul><li>
This position requires a hybrid in office work schedule</li><li>
Flexibility to work in a 24/7 environment, including weekends and holidays within a Team on-call engineer rotation schedule</li></ul>
Job Location: 
 
401 Las Colinas Blvd W Building A - Irving, Texas 75039 
 
2600 S Price Rd - Chandler, Arizona 85286 
 
300 S. Brevard - Charlotte, North Carolina 28202 
 
333 Market St - San Francisco, California 94105 
 
Pay Range 
 
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. 
$119,000.00 - $224,000.00 
Benefits
 
 
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul>
Posting End Date: 
7 Apr 2026 
<ul><li>Job posting may come down early due to volume of applicants.
</li></ul> 
We Value Equal Opportunity 
 
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. 
 
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. 
 
Applicants with Disabilities 
 
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . 
 
Drug and Alcohol Policy 
 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. 
 
Wells Fargo Recruitment and Hiring Requirements: 
 
a. Third-Party recordings are prohibited unless authorized by Wells Fargo. 
 
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Virtual Assistant 3L Platform Engineer

Uber

<div>
 
 About The Role
 
 
 
 The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives.
 
 
 You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
 </li>
 <li>
 Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
 </li>
 <li>
 Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
 </li>
 <li>
 Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
 </li>
 <li>
 Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
 </li>
 <li>
 Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience in data engineering or backend software development.
 </li>
 <li>
 Proficiency in Python, SQL, Java, or Scala for data pipeline development.
 </li>
 <li>
 Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
 </li>
 <li>
 Data warehouse and Data Modeling experience
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Web and SEO Analytics
 </li>
 <li>
 Experience in Marketing Technologies
 </li>
 <li>
 Designing and executing on Real-time and Near Real-time Systems
 
 
 </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
</div>

Data Engineer - Growth and Marketing Platform

Explore 300+ Distinguished software data engineer in San Francisco this April. Find roles across top companies and apply now to boost your career.

300 distinguished software data engineer jobs In San Francisco

Distinguished Software Data Engineer

Clinical Coordinator and Doctor's Assistant

Data Engineer - Finance

Data Engineer - Finance

AI/Generative AI Engineer

Virtual Assistant 3L Platform Engineer

Data Engineer - Growth and Marketing Platform