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data systems software engineer

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

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

Cognition AI

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

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

Andiamo

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


AI/Generative AI Engineer

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)

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
  </li>
  <li>
   Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
  </li>
  <li>
   Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
  </li>
  <li>
   Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
  </li>
  <li>
   Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
  </li>
  <li>
   Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of experience in data engineering or backend software development.
  </li>
  <li>
   Proficiency in Python, SQL, Java, or Scala for data pipeline development.
  </li>
  <li>
   Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
  </li>
  <li>
   Data warehouse and Data Modeling experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in Web and SEO Analytics
  </li>
  <li>
   Experience in Marketing Technologies
  </li>
  <li>
   Designing and executing on Real-time and Near Real-time Systems
   <br/>
   <br/>
  </li>
 </ul>
 For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
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