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LINDY

<div>About Lindy
Lindy is building the AI assistant for everyone else &mdash; not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives.
As Lindy's Data Engineer, you'll work closely with senior leadership (Lindy's CEO, GTM leads, and Head of Engineering) to uncover critical business insights from many sources of in-the-wild data (product analytics, BI/revenue information, customer reports, etc.). You'll be responsible for the end-to-end lifecycle of data, working closely with product and engineering to define key analytics metrics, combining that data into actionable insights, and communicating and disseminating those insights to leadership and across the company.
You'll also be in the driver's seat of our data infrastructure, iterating on Lindy's ETL pipelines, transformed tables, and other fundamental data engineering infrastructure. You'll be collaborating closely with Lindy's Head of Engineering and Director of Ops &amp; Analytics in this capacity. At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency.
We are an in-office company, working from our downtown San Francisco office 4 days a week. We sponsor visas and cover relocation costs up to $20,000.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Data Infrastructure:<ul><li>
Design and implement scalable ETL pipelines that handle product analytics, customer usage data, and business metrics</li><li>
Build reliable data warehousing solutions that support both real-time and batch processing needs</li><li>
Create automated data quality monitoring and alerting systems</li></ul>
Analytics &amp; Insights:<ul><li>
Develop comprehensive dashboards and reporting systems that track key business and product metrics</li><li>
Collaborate closely with the founder/CEO, PMs, and engineering team to understand customer behavior, product performance, and business health</li><li>
Identify opportunities to improve lagging metrics across customer acquisition, retention, product adoption, and revenue. Design and implement initiatives to address them</li><li>
Partner with product and engineering teams to instrument new features with proper analytics tracking</li></ul>
Data Strategy:<ul><li>
Establish frameworks for experimentation and A/B testing across our product</li><li>
Build self-service analytics capabilities that empower non-technical teams</li></ul><h2 class="jobSectionHeader">
Must haves</h2><ul><li>
2+ years of data engineering or data analytics experience (building production data pipelines and analytics infrastructure)</li><li>
Expert-level SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or similar)</li><li>
Hands-on experience with ETL tools (Fivetran, Airbyte, or custom solutions) and data transformation frameworks (dbt)</li><li>
Proficiency with BI tools (Tableau, Looker, or similar) and advanced spreadsheet analysis</li><li>
Track record of working independently and delivering high-impact projects with minimal oversight</li><li>
Excitement to work in-person 4 days a week from our downtown San Francisco office</li><li>
The technical skills of a data-oriented engineer who can build and maintain data infrastructure</li><li>
The strategic thinking of a business strategist who can identify and communicate our business' most pressing questions</li><li>
The analytical capabilities of a data analyst who can turn questions and data into insights</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with product analytics tools (PostHog, Mixpanel, Amplitude)</li><li>
Python/JavaScript proficiency for custom analysis and automation</li><li>
Background in statistics, data science, or machine learning</li><li>
Previous experience at high-growth B2B SaaS companies</li><li>
Familiarity with AI/ML product metrics and experimentation</li></ul><h2 class="jobSectionHeader">
Compensation and Benefits</h2><ul><li>
Base Salary Range $150K-$185K + equity</li><li>
Comprehensive health coverage</li><li>
$20K relocation assistance and visa sponsorship</li><li>
High autonomy and direct collaboration with leadership</li><li>
The fun of working at a no-nonsense 30-person startup that just wants to build an amazing product and business</li></ul></div>

Data Engineer

Uber

<div>About the Role
 
 
Uber's Data Platform is the heart of the company's critical decision-making and AI-driven intelligence. We are evolving from traditional data processing toward a Next-Generation Data Intelligence Platform -a unified, elastic fabric that collapses the silos between batch, streaming, and multimodal data.
 
 
As a Senior Staff Engineer , you will be the architect behind Uber's Elastic Compute , Unified Semantic Layer , and Self-Evolving Knowledge Platform . You will lead the transition from legacy on-premise systems to a Modern, Cloud-Native Ecosystem , designing solutions that handle exabytes of data. Whether it's optimizing Transactional Distributed Storage , or operationalizing Agentic Data Intelligence , your work will define the industry standard for high-performance infrastructure.
 
 
What You Will Do
<ul><li>Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale.
</li><li>Revolutionize Storage &amp; Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities.
</li><li>Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows.
</li><li>Lead Storage Modernization: Evolve our massive-scale persistence layers-including Docstore (Transactional Distributed Storage) and Distributed MySQL-to increase resiliency and reduce operational overhead.
</li><li>Open Source &amp; Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto).
</li></ul>Basic Qualifications -
<ul><li>14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems.
</li><li>Mastery of Storage Internals: Extensive storage experience is a must. You have deep expertise in:
<ul><li>Batch &amp; Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management.
</li><li>Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures.
</li><li>Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB).
</li><li>NoSQL &amp; Cache: Cassandra, Redis, and high-throughput Key-Value stores.
</li></ul></li><li>Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms.
</li><li>Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing.
</li><li>Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus.
</li></ul>- Preferred Qualifications -
<ul><li>Infrastructure at Scale: Experience designing AI infrastructure, including RAG (Retrieval-Augmented Generation) systems and high-bandwidth data loading for GPUs.
</li><li>Distributed Relational Mastery: Hands-on experience with Sharded/Distributed MySQL (Vitess) and managing large-scale tabular data.
</li><li>Multi-Cloud Vision: Demonstrated ability to build portable data solutions across OCI and GCP, optimizing for resource efficiency and intelligent scheduling.
</li><li>SLA-Driven Reliability: Expertise in building observability, data freshness, and quality frameworks for Tier-0 mission-critical services.
</li>Strategic Influence: Proven ability to lead platform modernization, mentor Staff-level engineers, and influence long-term technical strategy across multiple organizations. 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, 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>

Senior Staff Software Engineer: Data & Storage Platform

Data Engineer, Analytics (Technical Leadership)

Figma

<div>
 Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma&rsquo;s platform helps teams bring ideas to life&mdash;whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
 
 
 We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You&rsquo;ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You&rsquo;ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma&rsquo;s next phase of growth.
 
 
 This is a great role for an individual who is passionate about working with data and data systems, and who loves solving problems. You&rsquo;ll have a good sense for when it makes sense to build fast, scrappy solutions to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and takes pride in building end-to-end projects.
 
 
 This is a full time role that can be held from one of our US hubs or remotely in the United States.
 
 
 
 What you'll do at Figma
 
 
 :
 
 
 
 <ul>
 <li>
 Own, build, and maintain scalable data pipelines that connect various cloud data sources.
 </li>
 <li>
 Develop a deep understanding of Figma&rsquo;s core data models and optimize data pipelines for scale.
 </li>
 <li>
 Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service.
 </li>
 <li>
 Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to document, simplify and explain complex problems to different types of audiences.
 </li>
 <li>
 Establish best practices for the development of specialized data sets for analytics and modeling.
 
 
 </li>
 </ul>
 We'd love to hear from you if you have:
 
 
 <ul>
 <li>
 4+ years in a relevant field.
 </li>
 <li>
 Fluency with both SQL and Python.
 </li>
 <li>
 Familiarity with Snowflake, dbt, Dagster, and ETL/reverse ETL tools.
 </li>
 <li>
 Excellent judgment and creative problem solving skills.
 </li>
 <li>
 A self-starting mindset along with strong communication and collaboration skills.
 
 
 </li>
 </ul>
 While not required, it&rsquo;s an added plus if you also have:
 
 
 <ul>
 <li>
 Knowledge in data modeling methodologies to design and build robust data architectures for insightful analytics.
 </li>
 <li>
 Experience with business systems such as Salesforce, Customer IO, Stripe, NetSuite is a big plus.
 
 
 </li>
 </ul>
 At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
 
 
 
 Pay Transparency Disclosure
 
 
 
 If based in Figma&rsquo;s San Francisco or New York hub offices, this role has the annual base salary range stated below.
 
 
 Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
 
 
 Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma&rsquo;s compensation and benefits are subject to change and may be modified in the future.
 
 
 Annual Base Salary Range:
 
 
 $140,000&mdash;$348,000 USD
 
 
 At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
 
 ,
 
 or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
 
 
 We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
 
 
 Examples of accommodations include but are not limited to:
 
 
 <ul>
 <li>
 Holding interviews in an accessible location
 </li>
 <li>
 Enabling closed captioning on video conferencing
 </li>
 <li>
 Ensuring all written communication be compatible with screen readers
 </li>
 <li>
 Changing the mode or format of interviews
 
 
 </li>
 </ul>
 To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
 
 
 By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
</div>

Airtable

<div><div>Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.</div>
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

At Airtable, we're passionate about democratizing software creation &mdash; empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale.

As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions.
<h2 class="jobSectionHeader">
The Teams</h2>

We're hiring across two pods. Both teams work closely with Data Science and Analytics and are central to how Airtable understands itself as a business. You'll find your fit based on where your interests and experience align. And uniquely: the platform you're measuring and building on is the same one your customers use every day. When Airtable ships a new AI agent capability, you're among the first to instrument it, understand its adoption, and help shape what comes next.

Product &amp; AI Data Infrastructure This team builds and owns the foundational data pipelines that power product analytics across Airtable. As Airtable shifts to an AI-native platform, our work increasingly involves instrumenting and measuring AI product usage, building event pipelines for AI agents, surfacing AI-native adoption metrics in core business tables, and developing AI-powered data discovery tooling, including vector search over our catalog metadata. We partner closely with product analytics, product engineering, and data infrastructure to turn business questions into well-modeled, trustworthy data.

GTM &amp; Business Data Engineering This team owns the datasets that power go-to-market and business operations at Airtable. We build and govern the business critical pipelines and core tables used to report AI usage metrics across the company, create and maintain data models that support RevOps, Marketing, and BizTech stakeholders, and increasingly leverage AI tools, including writing Claude skills and incorporating AI context guidance, to accelerate and enhance our day-to-day pipeline work. If you're energized by working at the intersection of clean data architecture and cross-functional business impact, this is your team.
<h1 class="jobSectionHeader">
What you'll do</h1>
<ul><li>Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making.</li>
<li>Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders.</li>
<li>Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next.</li>
<li>Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood.</li>
<li>Continue to improve the performance and reliability of our data warehouse.</li>
<li>Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions.</li>
</ul><h1 class="jobSectionHeader">Who you are</h1>
<ul><li>You have 3-8+ years of professional experience designing, creating, and maintaining scalable data pipelines, preferably in Airflow.</li>
<li>You've wrangled enough data to understand how often the complex systems that produce it can go wrong, and you build with that in mind.</li>
<li>You are proficient in at least one programming language (preferably Python) and are willing to pick up others as the work demands.</li>
<li>You are highly effective with SQL and understand how to write and tune complex queries.</li>
<li>You're genuinely curious about how AI is reshaping data engineering and you're actively experimenting, not just watching from the sidelines. Whether that's using LLMs to write and debug pipelines faster, thinking through how to model agent behavior as data, or exploring what smarter data discovery could look like, you bring enthusiasm for figuring it out.</li>
<li>You're passionate and thoughtful about building systems that enhance human understanding.</li>
<li>You communicate with clarity and precision in written form and have experience conveying findings through graphs and visualizations.</li></ul><div> 
Please see our Privacy Notice for details regarding Airtable's collection and use of personal data relating to the application and recruitment process by clicking here. 
 
For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.

 Stay Safe from Job Scams 
All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.</div></div>

Software Engineer, Data

University of California - San Francisco

<div>The Network Security Engineer within the University of California, San Francisco&rsquo;s (UCSF) Information Technology (IT) department will ensure the security and integrity of UCSF&rsquo;s network infrastructure. The Network Security Engineer supports the planning, design, optimization, implementation, audit, and troubleshooting of network security systems. The Engineer improves the overall security posture of UCSF and its assets. The Security Engineer will partner with other teams, including security operations, governance, and system administrators, to successfully design and deploy required solutions to harden UCSF platforms. 
The Network Security Engineer will 
<ul><li>Configure/Install and manage various network security devices, features, and technologies including, but not limited to Firewalls, DDI (DNS, DHCP and IP Address Management), VPN, Network Access Control solutions, Web Filtering solutions, CASB and SASE systems, Intrusion Detection/Prevention systems, Network Packet Brokers, and Network Traffic Visibility solutions
</li><li>Fulfill project requests and tasks for our clients (Firewall Policy, VPN tunnel creation, DDI, CASB Incident Response, applying web filter entries, etc.)
</li><li>Manage and mitigate vulnerabilities for the devices that are backed by the Network Security Team
</li><li>Resolve problems and break/fix incidents on the enterprise network and its network security systems.
</li><li>Provide administrative-level technical network security implementation skill set for enterprise and Data Center environments of UCSF
</li><li>Assist in the development of network device hardening standards
</li><li>Apply professional communications concepts, industry practices, and relevant policies, procedures, and objectives to resolve highly complex issues.
</li><li>Establish methods, techniques and evaluation criteria to obtain results.
</li><li>Interface with management, IT-Security and vendors to develop and implement new solutions to meet business requirements
</li><li>Serve as an escalation point for junior staff</li></ul></div>

Network Security 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

Explore 358+ Data infrastructure engineer in San Francisco this April. Find roles across top companies and apply now to boost your career.

358 data infrastructure engineer jobs In San Francisco

Data Engineer

Senior Staff Software Engineer: Data & Storage Platform

Data Engineer, Analytics (Technical Leadership)

Data Engineer

Software Engineer, Data

Network Security Engineer

Virtual Assistant 3L Platform Engineer