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Lawrence Berkeley National Laboratory

<div></div><div><p>Lawrence Berkeley National Laboratory is hiring a Data Systems Software Engineer within the Scientific Data division. In this exciting role, you will work with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both domestically and abroad, on a wide array of software development and data science issues serving the broader SciData mission.</p><p></p><p><br>
We&rsquo;re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!</p><p></p><p><i><br>
Why join Berkeley Lab?</i></p><p></p><p><br>
We invest in our employees by offering a total rewards package you can count on:</p><ul><li><div>
Exceptional health and retirement benefits, including pension or 401K-style plans</div></li><li><div>
A culture where you&rsquo;ll belong - we are invested in our teams!</div></li><li><div>
In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.</div></li><li><div>
Parental bonding leave (for both mothers and fathers)</div></li><li><p>
Pet insurance</p></li></ul><p></p><p><br>
You will:</p><ul><li><p>
Apply modern data management practices and tools to scientific data challenges, using current best-practices in database architectures, storage formats, query languages, and metadata standards.</p></li><li><div>
Build software tools to perform complex data engineering, analysis, and curation tasks for both long- and short-term needs using best-in-class algorithms, methodologies, and/or practices.</div></li><li><div>
Apply and follow current and effective cybersecurity practices for systems administration, data management, software development, and communications.</div></li><li><div>
Use and adapt AI (and ML) tools and practices for both the software development lifecycle and as part of delivered functionality to meet both current and future requirements of scientific teams and projects.</div></li><li><div>
Collaborate and communicate effectively within cross-functional teams including domain scientists, facility staff, and computer scientists and engineers.</div></li><li><div>
Apply state of the art software engineering techniques and principles:</div><ul><li><div>
Create tests and software documentation (both developer and user-focused).</div></li><li><div>
Optimize, debug, and maintain software once it is deployed into production.</div></li><li><div>
Employ software development lifecycle, devops and release management practices.</div></li><li><div>
Collaborate with other developers through modern tools and practices.</div></li></ul></li><li><div>
Network with senior internal and external personnel in their own area of expertise.</div></li><li><div>
Work on and resolve problems of diverse scope where analysis of data requires evaluation of identifiable factors.</div></li><li><p>
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.</p></li></ul><p></p><div><br>
In addition, the Computer Systems Engineer Level 3 will:</div><ul><li><div>
Coordinate and/or lead software engineering and science teams with defining requirements and features for software systems.</div></li><li><div>
Architect and implement division-wide or cross-project data management tools, methods, or strategies to optimize data integrity, access, and scale.</div></li><li><div>
 Lead the design and development of major software systems or components, setting the technical direction and ensuring the integration of best-in-class algorithms and methodologies across multiple projects.</div></li><li><div>
Strategically evaluate, pioneer, and integrate novel AI/ML tools and agentic computing practices to deliver transformative capabilities, addressing complex, future-looking scientific requirements.</div></li><li><div>
Champion and evolve the group's software engineering standards, including testing, documentation, deployment, and operations.</div></li><li><div>
Mentor junior staff and developers, and proactively establish and nurture strategic partnerships with internal and external research teams to advance collaborative project goals.</div></li><li><div>
Establish and maintain relationships with stakeholders in the external scientific computing community.</div></li><li><div>
Present to audiences within and outside the lab.</div></li><li><div>
Work at a higher level of independence when completing assignments.</div></li><li><div>
Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.</div></li><li><div>
Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.</div></li><li><div>
Determine methods and procedures on new assignments and may coordinate activities of other personnel.</div></li><li><p>
Network with key contacts outside your own area of expertise.</p></li></ul><p></p><div><br>
Requirements:</div><div>
Computer Systems Engineer Level 2:</div><ul><li><div>
Bachelor's degree and 5 years of related experience, or 3 years and a Master's degree, or three years and a PhD degree, or an equivalent combination of education and work experience.</div></li><li><div>
Familiarity with command-line and system administration tools in UNIX-based operating systems like Linux or MacOS.</div></li><li><div>
Proficiency in Python.</div></li><li><div>
Proficiency in multiple general-purpose and/or domain specific programming languages such as JavaScript, Typescript, C/C++, Java, MATLAB, R, etc.</div></li><li><div>
Familiarity with current major data storage, data management, and data analysis methodologies, tools, and frameworks, such as &quot;data lakehouse&quot; architectures.</div></li><li><div>
Experience and expertise with AI tools and frameworks, including those for agentic workflows.</div></li><li><div>
Familiarity and some experience with AI and related technologies to develop, document, test, and deploy software</div></li><li><div>
Excellent English written and oral communication.</div></li><li><div>
Strong interpersonal skills for working in a diverse team environment.</div></li><li><p>
Ability to obtain security clearance sufficient to interact with CUI and/or Classified information.</p></li></ul><p></p><div><br>
In Addition, Computer Systems Engineer Level 3:</div><ul><li><p>
Bachelor&rsquo;s degree and 8 years of related experience, or 6 years and a Master&rsquo;s degree, or three years and a PhD degree, or an equivalent combination of education and work experience.</p></li><li><div>
Demonstrated experience with the entire software development process, from requirements through design, to implementation, release and deployment.</div></li><li><div>
Experience and expertise with current major data storage, data management, and data analysis methodologies, tools, and frameworks, such as &quot;data lakehouse&quot; architectures</div></li><li><p>
Experience with AI tools and frameworks, including those for agentic workflows.</p></li></ul><p></p><p><br>
Desired skills/knowledge:</p><ul><li><p>
Experience and expertise with cybersecurity theory and practice.</p></li><li><div>
Domain expertise in chemical engineering, chemistry, physics, or a related field.</div></li><li><div>
Deep understanding of the software development lifecycle.</div></li><li><div>
Understanding of HPC and large-scale systems.</div></li><li><div>
Familiarity with orchestration platforms (kubernetes), OS systems and tools, parallel programming, databases, data management, resource management.</div></li><li><div>
Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.</div></li><li><p>
Ability to network with senior internal and external personnel in their own area of expertise.</p></li></ul><p></p><div><br>
In Addition, Computer Systems Engineer Level 3:</div><ul><li><p>
Experience with software project management and system administration.</p></li><li><div>
Experience leading cross-functional teams.</div></li><li><div>
Experience serving as a subject matter expert in cybersecurity practices for scientific computing, conducting security reviews, and establishing organizational standards for secure software development and data handling.</div></li><li><div>
Experience identifying and securing new collaborative opportunities and resources.</div></li><li><div>
Demonstrated ability to work effectively as part of a cross-disciplinary team.</div></li><li><div>
Ability to resolve complex issues in creative and effective ways.</div></li><li><div>
Ability to exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.</div></li><li><p>
Ability to network and collaborate with key contacts outside their own area of expertise.</p></li></ul><div></div><p><br>
Additional information:</p><ul><li><div>
Application Date: Priority consideration will be given to candidates who apply by May 1, 2026. Applications will be accepted until the job posting is removed.</div></li><li><div>
Appointment Type: This is a full-time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.</div></li><li><div>
Two openings for this position</div></li><li><div>
Salary Information:</div><ul><li><div>
The expected annual salary for the Computer Systems Engineer Level 2 position is $132,000 - $161,000, which fits into the full salary of $117,132- $197,676 depending upon the candidate&rsquo;s skills, knowledge, and abilities. This includes education, certifications, and years of experience.</div></li><li><div>
 The expected annual salary for the Computer Systems Engineer Level 3 position is $157,000 - $192,000, which fits into the full salary of $139,440- $235,308 depending upon the candidate&rsquo;s skills, knowledge, and abilities. This includes education, certifications, and years of experience.</div></li></ul></li></ul><ul><li><div>
Background Check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</div></li><li><div>
Work Modality: Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.</div></li><li><div>
Work Authorization: The selected incumbent for this position is required to be a U.S. Citizen at time of hire.</div></li><li><p>
Multi-level Posting: This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.</p></li></ul><p></p><p><br>
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov</p><div></div><p><br>
Equal Employment Opportunity Employer:</p><p>
The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.</p><div></div><p><br>
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.</p></div><div></div>

Data Systems Software Engineer

Uber

<div><b>About the Role (Not an intern role)</b>
<br>
<br>
We are looking for a passionate, hands-on Software Engineer to join Uber's BI &amp; Analytics team, which powers one of the largest business intelligence platforms in the industry. Our team owns the core BI ecosystem and is building the next generation of analytics products with a strong focus on AI-powered experiences, efficiency, and scalability.<br>
<br>
This platform enables data-driven decision-making across Uber's core businesses, including Rides, Eats, Freight, and Risk. We are actively investing in AI-assisted analytics, such as intelligent query generation, automated insights, and conversational interfaces for data.<br>
<br>
As an L4 engineer, you will contribute to building and scaling backend systems, data services, and user-facing analytics capabilities, while collaborating closely with experienced engineers and partner teams. The Analytics Ecosystem:<br>
<ul><li>
Serves 10,000+ weekly active users</li><li>
Processes 3.5M+ queries per week</li><li>
Supports engines such as Presto, Spark, and MySQL</li><li>
Powers tools like uMetric, Bullseye, Enterprise Reports, Looker, and Tableau</li></ul><br>
What the Candidate Will Do -<br>
<ul><li>
Design and build end-to-end BI ecosystem solutions encompassing query creation, governance, optimization, execution, analytic extraction, and visualization, enhanced with AI-assisted features.</li><li>
Contribute to AI-powered BI features, such as query assistants, anomaly detection, and intelligent insights</li><li>
Develop and optimize core components of BI ecosystem, core engines, and services that power data-driven decision-making at scale.</li><li>
Design and implement distributed, low-latency algorithms for interactive and large-scale data processing.</li><li>
Optimize performance of cloud-based SQL BI solutions, with a focus on scalability and user experience.</li><li>
Collaborate with cross-functional teams to deliver impactful data solutions</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
Bachelor's degree in Computer Science or related field.</li><li>
4+ years of experience building BI products and large scale distributed software systems.</li><li>
Solid understanding of Java/GO/Python for backend / systems software development.</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
MS in Computer Science, Artificial Intelligence, or a related field.</li><li>
Experience managing production systems with strong availability SLAs.</li><li>
Experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.</li><li>
Proficient in BI tools, SQL compiler development, and query plan/runtime optimization.</li><li>
Fluency in Go, Python, and SQL</li><li>
Deep understanding of query planning, optimization techniques, and performance tuning.</li><li>
Experience developing or integrating AI/ML models into data and analytics workflows.</li><li>
Familiarity with conversational AI, AI-driven BI, or intelligent assistants for analytics use cases.</li><li>
Experience designing and implementing frontend/UI components, especially for data-centric applications.</li></ul><br>
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 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>

Software Engineer II - BI and AI Analytics for Data platform

Quantcast

<div><div>At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize&mdash;it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?</div><div></div><div><br>
We are seeking a Software Engineer to join our Big Data Services team. This role focuses on building, maintaining, and optimizing large-scale data processing systems while supporting the needs of our data science and engineering teams.<br>
<br>
You will work closely with engineers, data scientists, and researchers to ensure a reliable, scalable, and efficient data infrastructure that powers advanced analytics and modeling workflows. The primary focus of the team is driving and developing systems and services that enable Quantcast to scale its distributed storage and compute platform. The ideal candidate has a passion for large-scale distributed systems (e.g., HDFS and Spark).</div>
<h3 class="jobSectionHeader"><b>What you'll do:</b></h3><ul>
<li>Contribute to the development and optimization of large-scale data workflows using technologies such as Apache Spark or similar frameworks</li>
<li>Debug and resolve issues in distributed environments, including data inconsistencies and job failures</li>
<li>Maintain and enhance the services that support the distributed storage and compute platform</li>
<li>Assist in deploying and maintaining production systems, including CI/CD workflows</li>
<li>Work to make our platform more elastic and fault-tolerant</li>
<li>Provide technical input into roadmaps for the team</li>
<li>Write clean, maintainable, and well-tested code</li>
</ul><h3 class="jobSectionHeader"><b>Who you are:</b></h3><ul>
<li>BS in computer science or equivalent experience</li>
<li>1-3 years of professional software engineering experience (internships included)</li>
<li>You must be work-authorized in the United States without the need for employer sponsorship.</li>
<li>This is a hybrid role based in our San Francisco. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.</li>
<li>Familiarity with data processing frameworks such as Apache Spark, Hadoop, or similar.</li>
<li>Familiarity with containerization tools (e.g., Docker and Kubernetes)</li>
<li>Experience with workflow orchestration tools (e.g., Airflow) is a plus</li>
<li>Proficient in Java and/or Python programming languages</li>
<li>Linux system administration/automation experience</li>
<li>Strong problem-solving and debugging skills</li>
<li>Organized, detail-oriented personality</li>
</ul><h3 class="jobSectionHeader"><b>What you'll learn in this role:</b></h3><div>
<ul><li>Hands-on experience with large-scale distributed systems in production.</li>
<li>Exposure to real-world data science and modeling workflows.</li>
<li>Best practices in building scalable and reliable data infrastructure.</li>
<li>Collaboration across engineering and modeling teams.</li>
</ul></div><div>The salary range for this position is $144,900 - $168,400 USD</div>
<div></div>
<div>#LI-AC1</div><div></div><div><br>
At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential.</div></div><div></div>

Software Engineer (Big Data)

The Trade Desk

<div><p>The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.</p>
<p>
Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.</p>
<p><b>
What </b><b>we</b><b> do</b></p>
<p>
Our Software Engineers are end-to-end owners who have the opportunity to participate in many aspects of designing, building, and delivering data-focused products for our stakeholders.</p>
<p>
At The Trade Desk, we believe in building the back-end infrastructure of our platform with a focus on quality at scale. This means whether we are building parts of our client-facing applications, internal custom solutions for our own team members, or model pipelines for bidding optimizations, we are making sure that we have infrastructure, development, and tools to do it right and efficiently.</p>
<p>
Our system performs all day, every day serving global traffic. We build a distributed system in a highly collaborative environment, utilizing a broad range of technologies. Our back-end developers work on finding solutions to algorithmic, optimization and scale challenges in everything we do.</p>
<p><b>
About the role:</b></p>
<p>
The Trade Desk Software Engineers are best described as end-to-end owners.</p>
<ul>
<li>You will participate actively in all aspects of product strategy &ndash; from designing, building, and delivering products for our clients.</li>
<li>We have dozens of individual, mission-focused teams working across a wide spectrum of technological challenges.</li>
<li>You will have the opportunity, depending on your interests and aptitude, to lead engineers that focus on building large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces &ndash; to name a few.</li>
<li>Software Engineers contribute to more than our product &ndash; they help build up our team. Through a combination of mentoring and technical leadership of local teams, you will make others better and raise the bar for those around you.</li>
</ul>
<p>We are a global team with different backgrounds, experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.</p>
<p><b>
Who you are:</b></p>
<p>
Our culture is much deeper than just having fun together (though, we do that well too...). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role:</p>
<ul>
<li>The ideal candidate will have 2 to 5 years of impactful hands-on software engineering experience</li>
<li>You are a strong communicator. You're able to collaborate cross functionally with data scientists and root cause pain points in their workflow.</li>
<li>You have a passion for improving the efficiency of others. The work you will do in Machine Learning Operations will have a big impact on both the data scientists and the data engineers in our organization.</li>
<li>Experience building large scale data pipelines with spark is a plus.</li>
<li>Experience building machine learning models is a plus.</li>
<li>You have a Bachelor's/Master's level degree in a computer-science or relevant engineering related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.</li>
<li>You think beyond just the task at hand to deeply understand the 'why' behind what you &amp; your team are doing.</li>
<li>You are a driver. You will own technical milestones and projects in a ground-breaking and fast-paced environment, driving them from inception till completion. This includes task planning, individual code contribution, and code reviews.</li>
<li>You understand engineering fundamentals. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work.</li>
<li>You are able to work from first principles to evaluate solutions and adapt them to a unique environment.</li>
<li>You are a broadly skilled engineer, accustomed to developing web services.</li>
<li>You have experience building always-on systems, working across a variety of technologies and service layers.</li>
<li>You have a product-focused mindset.</li>
<li>You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world's largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.</li>
<li>You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work.</li>
<li>You have strongly-held, defensible ideas, and advocate for what you believe is right.</li>
<li>You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates.</li>
<li>You value, seek out, and foster diversity.</li>
</ul>
<p>Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.</p>
<p><i>
The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</i></p>
<p><i>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</i><br>
<br>
<i>#LI-AD1</i></p><p></p><div>
<p>
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.</p>
<p>
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.</p>
<p>
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.</p></div></div><p></p>

Software Engineer II - Data Workflow

Airtable

<div><div><p>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.</p></div><p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<h2 class="jobSectionHeader"><b>
The Teams</b></h2>
<p>
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.</p>
<p><b>
Product &amp; AI Data Infrastructure</b> 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.</p>
<p><b>
GTM &amp; Business Data Engineering</b> 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.</p>
<h1 class="jobSectionHeader"><b>
What you'll do</b></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"><b>Who you are</b></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><p></p><div><p><br>
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.<br>
<br>
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.</p>
<p>
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Software Engineer, Data

Embedding VC

<div><h3 class="jobSectionHeader"><b>About OpenArt</b></h3><p>
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We&rsquo;re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we&rsquo;re shaping that future.</p><h3 class="jobSectionHeader"><b>
Why Join OpenArt</b></h3><ul><li><p>
Own the <b>measurement and attribution layer</b> of a fast-scaling AI company.</p></li><li><p>
Direct impact on growth &mdash; your work drives acquisition efficiency and revenue.</p></li><li><p>
Work across product, marketing, and data &mdash; highly cross-functional role.</p></li><li><p>
Build from 0 1 &mdash; define how we track, attribute, and optimize growth.</p><p>
High ownership, low process, fast iteration environment.</p></li><li><p>
7&ndash;10X revenue growth over the past 2 years &mdash; now scaling growth infrastructure.</p></li></ul><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
We&rsquo;re looking for a <b>Growth Data Engineer</b> to <b>build and own OpenArt&rsquo;s marketing data and attribution systems</b>, ensuring that all acquisition and lifecycle efforts are accurately measured and optimized.</p><p>
This role sits at the intersection of <b>data engineering, marketing tech, and analytics</b> &mdash; focused on making sure that data flows reliably between product, warehouse, CRM, and ad platforms.</p><p>
You will be responsible for ensuring that every marketing dollar is measurable, attributable, and optimizable &mdash; from first touch to revenue.</p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><ul><li><p>
Build and maintain <b>marketing attribution systems</b> (UTM tracking, user journey, conversion mapping)</p></li><li><p>
Implement and manage <b>1st-party data passback to ad platforms</b> (e.g., conversions, revenue, LTV signals)</p></li><li><p>
Configure and maintain <b>tracking infrastructure</b>:</p><ul><li><p>
GTM (client + server-side)</p></li><li><p>
Google Ads (Enhanced Conversions)</p></li><li><p>
Meta Pixel + Conversions API</p></li><li><p>
LinkedIn, TikTok, and other ad platforms</p></li></ul></li><li><p>
Set up and maintain <b>conversion events and schemas</b> across platforms</p></li><li><p>
Ensure <b>consistent event definitions and naming</b> across product, CRM, and ad platforms</p></li><li><p>
Build and manage <b>audience sync pipelines</b></p></li><li><p>
Integrate <b>CRM and warehouse data into ad platforms</b> for optimization (offline conversions, lead stages, revenue)</p></li><li><p>
Operationalize <b>new marketing experiments</b> (UTMs, tracking parameters, campaign setup)</p></li><li><p>
Debug and resolve <b>tracking and attribution discrepancies</b> across systems (e.g., Ads vs CRM vs warehouse)</p></li><li><p>
Build and validate <b>marketing and pipeline dashboards</b>, ensuring data accuracy and consistency</p></li><li><p>
Implement <b>privacy-safe tracking practices</b> (Consent Mode, CMP integrations)</p></li><li><p>
Partner closely with growth, product, and data teams to ensure measurement supports decision-making</p></li></ul><h3 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h3><p><b>
Core Requirements</b></p><ul><li><p>
3&ndash;5 years of experience in <b>growth data, marketing data engineering, or analytics engineering</b></p></li><li><p>
Strong hands-on experience with:</p><ul><li><p>
GTM, pixels, conversion APIs</p></li><li><p>
Ad platforms (Google Ads, Meta, etc.)</p></li></ul></li><li><p>
Experience implementing <b>conversion tracking and attribution systems</b></p></li><li><p>
Experience sending <b>offline conversions / LTV signals back to ad platforms</b></p></li><li><p>
Familiarity with <b>data pipelines and warehouse concepts</b> (BigQuery, SQL, ETL/ELT)</p></li><li><p>
Strong SQL skills; comfortable working with data directly</p></li><li><p>
Strong debugging skills &mdash; able to systematically investigate and resolve data discrepancies</p></li><li><p>
Comfortable working cross-functionally with marketing, product, and data teams</p></li><li><p>
High ownership, fast execution, and strong attention to detail</p></li></ul><p><b>
Nice to Have</b></p><ul><li><p>
Experience supporting <b>performance marketing teams</b></p></li><li><p>
Familiarity with:</p><ul><li><p>
Attribution models (last-click, MTA, probabilistic vs deterministic)</p></li><li><p>
Privacy frameworks (SKAN, ATT, Privacy Sandbox)</p></li></ul></li><li><p>
Experience with mobile attribution tools (AppsFlyer, Adjust, Branch)</p></li><li><p>
Experience with experimentation and A/B testing frameworks</p></li><li><p>
Experience in consumer product, marketplaces, or e-commerce</p></li><li><p>
Basic Python or scripting for automation</p></li></ul><h3 class="jobSectionHeader"><b>
Tech Stack You&rsquo;ll Work With</b></h3><p>
GTM, Google Ads, Meta Ads, TikTok Ads, BigQuery, Metabase, Amplitude, Stripe, SQL, GCP</p><h3 class="jobSectionHeader"><b>
Compensation</b></h3><ul><li><p>
Competitive base salary and bonus program</p></li><li><p>
Equity &mdash; meaningful ownership in what you build</p></li><li><p>
High autonomy, high growth environment</p></li></ul><h3 class="jobSectionHeader"><b>
Work Setup</b></h3><ul><li><p>
Bay Area preferred (hybrid allowed)</p></li><li><p>
Visa sponsorship available</p></li><li><p>
We&rsquo;ll consider remote</p></li></ul></div>

Growth Data Engineer

Cognition

<div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2><p>
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.</p><p>
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.</p><p>
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.</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
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.</p><p><b>
In this role you will:</b></p><ul><li><p>
Design and manage database architecture and data models with a focus on finance and accounting use cases</p></li><li><p>
Build and maintain ETL/ELT pipelines and orchestration workflows</p></li><li><p>
Create and manage data integrations across internal and external financial systems</p></li><li><p>
Partner with Finance and Accounting teams to build auditable, automated reporting systems, dashboards, and datasets</p></li><li><p>
Support close processes, FP&amp;A workflows, and revenue reporting through scalable data infrastructure</p></li><li><p>
Own business reporting: datasets, dashboards, metrics, and self-serve analytics</p></li><li><p>
Ensure data quality, observability, governance, and documentation</p></li></ul><p></p><p><b>
Requirements for the role:</b></p><ul><li><p>
5+ years in a data engineering, analytics engineering, or a full-stack data role</p></li><li><p>
Expert SQL and strong Python (or R)</p></li><li><p>
Experience with data modeling, warehouse architecture, and BI-oriented schema design</p></li><li><p>
Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)</p></li><li><p>
Experience building or maintaining BI reporting (Metabase a plus)</p></li><li><p>
Proven track record collaborating with finance stakeholders to deliver impactful solutions</p></li><li><p>
Experience with FP&amp;A processes, close workflows, and financial reporting</p></li><li><p>
Familiarity with GAAP vs. non-GAAP reporting and revenue recognition concepts</p></li><li><p>
Based in SF and willing to be in office 5 days a week</p></li></ul></div>

Data Engineer - Finance

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