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platform engineer

Airwallex

<div><div><div>About Airwallex</div>
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide &ndash; including Brex, Rippling, Navan, Qantas, SHEIN and many more &ndash; with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you&rsquo;re ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you&rsquo;re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you &ldquo;get stuff done&rdquo; end-to-end. You use AI to work smarter and solve problems faster. Here, you&rsquo;ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let&rsquo;s build what&rsquo;s next.
Staff Data Platform Engineer (Real-time Data Platform) Knowledge Platform Team
Hiring Location: San Francisco
Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world&rsquo;s most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.
Established in 2015 in Melbourne, we aim to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.
Who We Are? Team Introductions:
The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models.
In 2026, our team&rsquo;s overarching mission is to evolve our full data ecosystem&mdash;encompassing both platform and models&mdash;into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making.
Who You Are? Role Overview:
As a high level architect (staff engineer), you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. You will play a pivotal role in influencing data-driven and AI-powered decision-making processes. A key aspect of your role will also include building a high-performing team that excels in a fast-paced environment. Your leadership will be critical in mentoring the team, promoting a culture of innovation, and driving technical excellence.
Responsibilities：<ul><li><div>
Spearheaded the identification and resolution of Airwallex-wide challenges using cutting-edge data platform solutions.</div></li><li><div>
Provide visionary technical direction, fostering a community within Airwallex's data realm, and actively leading in solving complex problems hands-on.</div></li><li><div>
Advocate for best practices across the data platform, instilling a culture of craftsmanship and innovation.</div></li><li><div>
Mentor the data platform team, nurturing both technical and professional development.</div></li></ul>
Minimum Requirements:<ul><li><div>
A minimum of 8 years of experience in Data Platform or an equivalent combination of work and academic exposure in a quantitative field.</div></li><li><div>
Proven experience leading company-wide initiatives across multiple teams or influencing tech roadmap planning.</div></li><li><div>
Effective collaboration with diverse teams and stakeholders to drive tangible business outcomes.</div></li><li><div>
Demonstrated ability to balance execution and velocity with in-depth research, statistical understanding, and scalable design.</div></li><li><div>
Track record of mentoring and investing in the development of scientists, engineers, and peers.</div></li><li><div>
Experience providing technical leadership on significant projects, covering ETL frameworks, metrics stores, infrastructure management, and data security.</div></li><li><div>
Proficiency in building, deploying, and maintaining reliable multi-geographical data pipelines at scale.</div></li><li><div>
Familiarity with workflow or orchestration frameworks such as Airflow, DBT, etc.</div></li></ul>
Preferred Qualifications:<ul><li><div>
Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture.</div></li><li><div>
Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow.</div></li><li><div>
Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide).</div></li><li><div>
Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design.</div></li><li><div>
Experience thriving in a complex environment.</div></li></ul>
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you&rsquo;ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.
Applicant Safety Policy: Fraud and Third-Party Recruiters
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don&rsquo;t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.</div></div>

Staff Data Platform 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

AGI, Inc.

<div>
 
 Think Different. Build the Future. 🚀
 
 
 
 Our Mission
 
 
 
 Build everyday AGI. Trustworthy, consumer-grade agents that redefine human&ndash;AI collaboration for millions.
 
 Software shouldn&rsquo;t wait for commands; it should partner with you, amplifying what you can do every single day.
 
 
 Why AGI, Inc.
 
 
 We&rsquo;re a stealth team of elite founders and AI researchers, with backgrounds spanning
 
 Stanford, OpenAI, and DeepMind
 
 . We&rsquo;re industry leaders in mobile and computer-use agents, bringing these capabilities to consumer scale.
 
 
 Grounded in years of agent research, our AI is designed with trustworthiness and reliability as core pillars, not afterthoughts.
 
 
 We are supported by tier-1 investors who funded the first generation of AI giants; now they&rsquo;re backing us to build the next:
 
 everyday AGI. (Watch the
 
 
 demo
 
 
 )
 
 
 
 If you see possibility where others see limits, read on.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Training Automation:
 
 Design and implement robust CI/CD pipelines for machine learning workflows. Automate nightly and on-demand training runs, including data ingestion, job orchestration, checkpointing, and artifact management, with reliability as a first-class requirement.
 
 
 
 Evaluation Infrastructure:
 
 Build scalable evaluation harnesses that automatically benchmark models on every merge. Optimize latency and resource usage so experimentation stays fast, and performance regressions are caught immediately.
 
 
 
 Research Tooling:
 
 Develop internal SDKs, CLIs, and lightweight UIs (e.g., Streamlit, Retool) that empower researchers to:
 
 
 <ul>
 <li>
 Inspect trajectories and traces
 </li>
 <li>
 Visualize model failures
 </li>
 <li>
 Curate and manage datasets
 </li>
 <li>
 Iterate without friction
 
 
 </li>
 </ul>
 You&rsquo;ll make experimentation ergonomic.
 
 
 
 Observability &amp; Performance:
 
 Implement comprehensive tracking for:
 
 
 <ul>
 <li>
 Model latency, throughput, and error rates
 </li>
 <li>
 GPU utilization and cluster health
 </li>
 <li>
 Inference cost and unit economics
 
 
 </li>
 </ul>
 Build dashboards and alerting systems that give real-time visibility into system performance and reliability.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience
 </li>
 <li>
 3+ years in Software Engineering, MLOps, or ML Infrastructure
 </li>
 <li>
 Strong Python proficiency
 </li>
 <li>
 Experience building internal developer tools, CLIs, or dashboards
 </li>
 <li>
 Experience with cloud infrastructure (AWS or GCP) and containerization (Docker, Kubernetes)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience designing CI/CD pipelines specifically for ML workflows
 </li>
 <li>
 Familiarity with LLM serving stacks such as vLLM or TGI
 </li>
 <li>
 Experience managing GPU clusters and optimizing distributed workloads
 
 
 </li>
 </ul>
 
 Why This Role Matters
 
 
 
 Great research without great infrastructure slows to a crawl.
 
 
 Great infrastructure multiplies the impact of every researcher.
 
 
 You will define how experiments scale, how reliability is measured, and how quickly we can ship improvements to real users. The systems you build will directly shape the speed and quality of our progress toward everyday AGI.
 
 
 
 Our Culture
 
 
 
 🏢 All in, in person &mdash; work moves faster face-to-face
 
 
 🚀 Ship by default &mdash; novel and polished can coexist, speed is the feature
 
 
 🤝 One band, one sound &mdash; radical candor, zero politics, help each other win
 
 
 
 Perks
 
 
 
 🏥 Competitive company-sponsored medical, dental, and vision insurance
 
 
 ✈️ Top-tier relocation and immigration support
 
 
 
 How To Apply
 
 
 
 Send us:
 
 
 <ul>
 <li>
 A link &mdash; or 60-second video &mdash; of something you built and why it matters
 </li>
 <li>
 Your resume or LinkedIn
 </li>
 <li>
 Two sentences on the hardest problem you've cracked
 
 
 </li>
 </ul>
 Every exceptional candidate hears back within 48 hours.
 
 
 If you see possibility where others see limits, we'd love to meet you.
 
 
</div>

ML Platform & Infrastructure Engineer

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $176,400 - $243,600 a year
 
 
 The target base salary for this position ranges from $176,400/year to $243,600/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - San Francisco / New York City / Seattle
 
 
 Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego
 
 
 Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh
 
 
 Zone 4 - All other US cities
 
 
 The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Software Engineer - Platform

Checkr

<div><div>About Checkr 
Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr's innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable.
 
 
We're a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.</div>
About the Role

We are seeking a strong Senior Data Engineer to build and maintain scalable, high-quality data pipelines powering Checkr's centralized data platform. As a Senior Engineer, you will independently deliver complex features, contribute to system design, and collaborate with cross-functional partners to support the next generation of our data products.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<ul><li>Independently design and implement complex batch and streaming pipelines using PySpark, SQL, and AWS services.</li>
<li>Navigate ambiguity with guidance, translating high-level direction into well-scoped, high-quality technical solutions.</li>
<li>Work cross-functionally with product, design, analysts, and engineers to ship impactful features and improve data workflows.</li>
<li>Contribute to architectural discussions and system improvements without owning long-term strategy.</li>
<li>Ensure pipeline reliability and data quality, implementing testing, monitoring, and observability best practices.</li>
<li>Investigate and resolve production issues for services owned by the team.</li>
<li>Write performant, maintainable code that aligns with engineering standards.</li>
<li>Support the team in building foundational datasets that enable analytics, ML, and customer-facing features.</li>
</ul><h2 class="jobSectionHeader">What You Bring</h2>
<ul><li>6&ndash;7+ years of experience in data engineering with strong hands-on execution ability.</li>
<li>Proficiency with PySpark, Python, and SQL, including debugging and performance optimization.</li>
<li>Experience building large-scale pipelines (up to terabytes or larger), with exposure to streaming systems such as Kafka.</li>
<li>Strong knowledge of data modeling, relational databases, and NoSQL stores.</li>
<li>Experience with AWS services such as EMR, Glue, Athena, Lambda, and S3.</li>
<li>Exposure to Iceberg or other lakehouse technologies (nice to have).</li>
<li>Understanding of security and data privacy fundamentals.</li>
<li>Strong problem-solving skills, attention to detail, and ability to execute independently.</li>
<li>Knowledge of Databricks, Snowflake, or Graph/Vector stores is a plus.</li>
</ul><div>
At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, Nashville, TN, and Santiago, Chile. Individuals are expected to work from the office 3 days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location. 

Equal Employment Opportunities at Checkr 
Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco's Fair Chance Ordinance. 

Applicant Privacy Policy 
If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. 

<ul><li>Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).</li></ul></div></div>

Senior Data Engineer

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a
 
 Software Engineer
 
 , you will contribute to the development of critical systems that power how users join and trust our platform; spanning user acquisition, onboarding, identity, and fraud prevention. You will work alongside experienced engineers and cross-functional teams to deliver reliable, scalable, and high-performance software solutions. This role is ideal for someone with a strong foundation in software engineering principles and the drive to grow through meaningful, impactful work.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of platform systems that support user acquisition, onboarding, and identity infrastructure.
 </li>
 <li>
 Help build and maintain fraud prevention systems to protect the integrity of our platform.
 </li>
 <li>
 Write high-quality code and support robust testing strategies to ensure product reliability.
 </li>
 <li>
 Collaborate with product managers, designers, and senior engineers to create seamless user experiences from first touch through activation.
 </li>
 <li>
 Actively participate in code reviews and learn from experienced engineers to accelerate your technical growth.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience, with a backend-leaning full stack orientation.
 </li>
 <li>
 Foundational proficiency in programming languages such as Java, Python, or Ruby.
 </li>
 <li>
 Familiarity with building or contributing to platforms and scalable infrastructure systems.
 </li>
 <li>
 Exposure to cloud platforms like AWS or Azure.
 </li>
 <li>
 Ability to break down problems, take ownership of well-scoped tasks, and see them through to completion.
 </li>
 <li>
 Strong problem-solving skills and eagerness to tackle new technical challenges.
 </li>
 <li>
 Clear communication skills and a collaborative, team-first mindset.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Interest in identity, trust &amp; safety, or fraud prevention.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness:
 
 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, wellness stipend
 
 
 📚
 
 Growth:
 
 Learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at
 
 joinhandshake.com/careers
 
 .
 
 
 Compensation Range: $145K - $170K
 
 
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Software Engineer, Acquisition & Identity

Uber

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 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
 
 
 
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 Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
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 Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
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 Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
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 Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
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 Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
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 Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
 
 
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 </ul>
 
 Basic Qualifications
 
 
 
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 4+ years of experience in data engineering or backend software development.
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 Proficiency in Python, SQL, Java, or Scala for data pipeline development.
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 Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
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 Data warehouse and Data Modeling experience
 
 
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 </ul>
 
 Preferred Qualifications
 
 
 
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 Experience in Web and SEO Analytics
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 Experience in Marketing Technologies
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 Designing and executing on Real-time and Near Real-time Systems
 
 
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 </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.
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Data Engineer - Growth and Marketing Platform

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