advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai research engineer Jobs in San Francisco

ai research engineer

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ai research scientist

ai/ml intern

data scientist

Shipt

<div>
 
 Impact
 
 
 
 As a Data Scientist specializing in geospatial intelligence, you will help power the next generation of final-mile logistics. This role will develop advanced models and data systems that leverage location, routing, traffic, and spatial signals to improve delivery success, reduce operational costs, and create a better experience for customers and drivers.
 
 
 In this role you will work with large-scale GPS traces, mapping data and geospatial datasets. You will collaborate with product ,managers, logistic operators and software engineers to turn models into real-world systems. You will design experiments and translate complex geospatial insights into actionable operational decisions.
 
 
 
 
 What You&rsquo;ll Need to Be Successful
 
 
 
 
 <ul>
 <li>
 MS or PhD in Statistics, Applied Mathematics, Computer Science, or other quantitative fields
 </li>
 <li>
 2+ years of experience with geospatial data (ex. GPS traces, spatial indexing systems, or routing systems)
 </li>
 <li>
 Strong understanding of predictive modeling, feature engineering, experimentation and causal inference
 </li>
 <li>
 Strong Python skills with experience in libraries such as: pandas, scikit-learn, PyTorch or TensorFlow
 </li>
 <li>
 Ability to work with large datasets and distributed systems (ex. Spark, BigQuery, Snowflake, etc.)
 
 
 </li>
 </ul>
 
 Pay Range: $76,100- $130,000
 
 
 
 
 
 Please note that the salary range above is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.
 
 
 
 
 
 Skills &amp; Education
 
 
 
 This list includes key skills used in this job but is not inclusive of all skills needed for the role. Please see any required education below.
 
 
 Data Science, Geospatial Data, Geospatial Modeling, Python (Programming Language)
 
 
 Bachelor's Degree or equivalent experience&emsp14;| Required
 
 
 
 Work Arrangement
 
 
 
 Shipt considers candidates located near a Shipt office or workspace in Birmingham, San Francisco, or Minneapolis to be hybrid, which means that they have the flexibility to work from home (with leader approval) or at a Shipt office in order to facilitate the ability to innovate, collaborate, and spark team connections. In-office expectations will vary by role and leader. Certain roles may require in-office presence on a full-time basis. Please work with your recruiter to learn more about the classification of this role.
 
 
 
 About Shipt
 
 
 
 Shipt is a retail tech company that connects people to reliable, high-quality delivery with a personal touch. Shipt connects customers to the things they want from the stores they love, retail businesses to more satisfied customers, and workers to new earning opportunities.
 
 
 At Shipt, we aim to put our team first to boost a sense of belonging, spark opportunities for growth, provide unique benefits and commit to giving back to our communities in ways that make life better, both personally and professionally. We understand that our service, our culture, and our connection to our communities are only made better by every single person who shows up to work here every day. Learn More.
 
 
 Shipt is an independently operated, wholly owned subsidiary of Target Corporation and available in more than 5,000 U.S. cities. Shipt was founded and is headquartered in Birmingham, Alabama. For more information, please visit Shipt&rsquo;s company site at Shipt.com.
 
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of 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 any other characteristic protected by law.
 
 
 
 
 Please inform your recruiting contact upon initial connection if you need a reasonable accommodation. If you need assistance filling out a job application, please complete this form.
 
 
 For technical interviews, Shipt uses an online coding platform. In the event you may need a reasonable accommodation to use the online coding platform, please connect with your recruiter.
 
 
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 
 Employees (and eligible family members) are covered by medical, dental, vision and more. Employees may enroll in our company&rsquo;s 401k plan. Employees will also be eligible to receive discretionary vacation for exempt team members, paid holidays throughout the calendar year and paid sick leave. Other compensation includes eligibility for an annual bonus and the potential for restricted stock units based on role.
 
</div>

Data Scientist

Samba TV

<div>
 
 
 Samba is a media intelligence company. We know what the world is watching, reading, and thinking about &amp;mdash; in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it&rsquo;s the most interesting data asset on the planet, because it&rsquo;s the most culturally relevant.&nbsp;
 
 
 
 
 
 
 
 
 
 
 ABOUT THE ROLE
 
 
 
 
 
 
 We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products.&nbsp;
 
 
 
 
 
 The role requires a deep, first-principles understanding of data science and machine learning &amp;mdash; not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role &amp;mdash; you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.
 
 
 
 
 
 You will work closely with Data Engineering, Product, and go-to-market teams.
 
 
 
 
 
 
 
 
 
 WHAT YOU'LL DO
 
 
 <ul>
 
 <li>
 
 
 
 Write and own production-quality Python code end-to-end &amp;mdash; well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets
 
 
 
 </li>
 
 <li>
 
 
 
 Design, build, and deploy measurement models and statistical frameworks that power Samba&rsquo;s campaign measurement, reach/frequency estimation, and cross-platform attribution products
 
 
 
 </li>
 
 <li>
 
 
 
 Apply the right statistical and ML technique to the right problem &amp;mdash; drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage &amp;mdash; and clearly articulate the reasoning behind your choices
 
 
 
 </li>
 
 <li>
 
 
 
 Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods &amp;mdash; counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation &amp;mdash; to advertising and viewership measurement problems
 
 
 
 </li>
 
 <li>
 
 
 
 Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready
 
 
 
 </li>
 
 <li>
 
 
 
 Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team
 
 
 
 </li>
 
 <li>
 
 
 
 Mentor junior Data Scientists through code review, pairing, and structured technical feedback &amp;mdash; raising the team's technical floor
 
 
 
 </li>
 
 <li>
 
 
 
 Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients
 
 
 
 </li>
 
 </ul>
 
 
 
 
 
 WHO ARE YOU
 
 
 <ul>
 
 <li>
 
 
 
 5-7 years of professional data science experience &amp;mdash; hands-on, delivery-focused, and measurable in shipped models and production systems
 
 
 
 </li>
 
 <li>
 
 
 
 Expert-level Python &amp;mdash; clean, modular, testable, production-ready code is your standard, not your aspiration
 
 
 
 </li>
 
 <li>
 
 
 
 Advanced PySpark and Databricks &amp;mdash; comfortable building and optimizing data pipelines and ML workflows on billion-row datasets
 
 
 
 </li>
 
 <li>
 
 
 
 Deep, first-principles command of statistics and ML &amp;mdash; you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions
 
 
 
 </li>
 
 <li>
 
 
 
 Solid grasp of experimental design &amp;mdash; A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate
 
 
 
 </li>
 
 <li>
 
 
 
 Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production
 
 
 
 </li>
 
 <li>
 
 
 
 Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes
 
 
 
 </li>
 
 <li>
 
 
 
 Strong ownership mindset &amp;mdash; you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.
 
 
 
 </li>
 
 <li>
 
 
 
 Clear communicator &amp;mdash; able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership
 
 
 
 </li>
 
 </ul>
 
 
 <ul>
 
 <li>
 
 
 
 Experience with multi-touch attribution (MTA) or multi-channel attribution modeling &amp;mdash; understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives
 
 
 
 </li>
 
 <li>
 
 
 
 Hands-on experience with Causal ML methods &amp;mdash; counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation &amp;mdash; applied to advertising or media measurement outcomes
 
 
 
 </li>
 
 <li>
 
 
 
 Direct exposure to TV or digital viewership data &amp;mdash; ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)
 
 
 
 </li>
 
 <li>
 
 
 
 Familiarity with the measurement
 
 
 
 </li>
 
 <li>
 
 
 
 t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)
 
 
 
 </li>
 
 <li>
 
 
 
 Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field &amp;mdash; or equivalent depth demonstrated through work
 
 
 
 </li>
 
 </ul>
 
 
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 Samba expects to offer a base salary between
 
 $150,000 - $180,000 USD
 
 per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
</div>

Data Scientist, Product Analytics

Aircall

<div>
 Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
 
 Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
 
 Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
 
 
 At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
 
 
 How we work at Aircall:
 
 We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.
 
 
 
 About The Role
 
 
 
 The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
 
 
 In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
 </li>
 <li>
 Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
 </li>
 <li>
 Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
 </li>
 <li>
 Own the core company data pipeline, responsible for converting business needs to efficient &amp; reliable data pipelines.
 </li>
 <li>
 Participate in code reviews to ensure code quality and share knowledge.
 </li>
 <li>
 Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
 </li>
 <li>
 Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
 </li>
 <li>
 Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration
 
 
 </li>
 </ul>
 
 A little more about you:
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
 </li>
 <li>
 Proficient in SQL and Python, with the ability to translate complexity into efficient code.
 </li>
 <li>
 Experience with data workflow development and management tools (dbt, Airflow).
 </li>
 <li>
 Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
 </li>
 <li>
 Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
 </li>
 <li>
 Experience with data tooling, data governance, business intelligence and data privacy is a plus.
 
 
 </li>
 </ul>
 $130,000 - $200,000 a year
 
 
 This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
 
 
 Why join us?
 
 
 🚀 Key moment to join Aircall in terms of growth and opportunities
 
 
 💆&zwj;&female;️ Our people matter, work-life balance is important at Aircall
 
 
 📚 Fast-learning environment, entrepreneurial and strong team spirit
 
 
 🌍 45+ Nationalities: cosmopolite &amp; multi-cultural mindset
 
 
 💵 Competitive salary package &amp; benefits
 
 
 🏨 Medical, dental, and vision insurance is 100% covered
 
 
 📈 401k plan with company matching!
 
 
 ✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!
 
 
 ⭐️ Wellness, commuter, and childcare reimbursements
 
 
 💚 Generous parental leave policy
 
 
 DE&amp;I Statement:
 
 
 At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.
 
 
 We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
 
 
 We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
 
 Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Engineer/Senior Data Engineer, Data and Science

<div>
 
 
 Samba is a media intelligence company. We know what the world is watching, reading, and thinking about &amp;mdash; in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it&rsquo;s the most interesting data asset on the planet, because it&rsquo;s the most culturally relevant.&nbsp;
 
 
 
 
 
 
 
 
 Samba is building the future of cross-channel media measurement, and we are seeking our next rockstar Measurement Analyst to build with us!
 
 
 
 Samba is an AI-forward data, measurement, and technology company. Using billions of signals from smart TVs, data partners, and the open web, we connect what media people watch and consume with what they do online and the real world. We use this information to help the world&rsquo;s leading brands make data-informed decisions in content planning, media planning, audience activation, content and ads measurement, and more.&nbsp;
 
 
 
 At Samba, Measurement Science is a service organization responsible for using Samba data, measurement, and insights to add value to our customers. The organization is aligned into four verticals: Measurement Partners, Insights, Strategic Initiatives, and Technical Measurement Operations. The Data Analyst role sits in the Technical Measurement Operations team, and provides support cross-functionally to all Measurement Science team members. The role reports to the VP Measurement Science.
 
 
 
 
 
 
 
 
 What You'll Do
 
 <ul>
 
 <li>
 
 Analyst Tasks
 
 
 <ul>
 
 <li>
 Extract data from Samba databases (e.g. conversion rate by audience segment).
 </li>
 
 <li>
 Perform custom matches and/or joins from disparate sources (e.g. ad exposure files from a publisher, conversion data from a measurement partner, and panel weights from the Samba measurement panel).&nbsp;
 </li>
 
 <li>
 Exploratory analysis and statistics (e.g. drivers analysis to identify what the key drivers were of campaign performance, content viewership, or other metrics.&nbsp;
 </li>
 
 <li>
 Visualize data to make it more accessible internally and externally.
 </li>
 
 </ul>
 
 </li>
 
 <li>
 
 Administrative Tasks
 
 
 <ul>
 
 <li>
 Independently manage, maintain, and execute the JIRA board ticketing system.
 </li>
 
 <li>
 Define mechanisms (e.g. weekly standups, office hours) to manage workflows.
 </li>
 
 <li>
 Incorporate AI into workflows and outputs and turn common requests into repeatable processes (e.g. templates, workbooks).
 </li>
 
 </ul>
 
 </li>
 
 </ul>
 
 
 
 
 Who You Are
 
 <ul>
 
 <li>
 
 The James/Jayne Bond of Data Analysis
 
 
 <ul>
 
 <li>
 Sophisticated technical mastery of SQL, Python, Databricks, BigQuery
 </li>
 
 <li>
 Cool under pressure - thrives in tackling high-stakes, complex data challenges.
 </li>
 
 <li>
 Resourceful in problem solving - enjoys working independently to solve issues.
 </li>
 
 <li>
 Unconventional - does things as they should be done, not have been done.
 </li>
 
 <li>
 Goal-oriented - relentlessly driven to achieve goals and team success.&nbsp;
 </li>
 
 </ul>
 
 </li>
 
 </ul>
 
 
 
 
 Required Skills &amp; Experience
 
 <ul>
 
 <li>
 4-8 years of experience in a technical data analyst role.
 </li>
 
 <li>
 Absolute technical fluency in SQL, Python, Databricks, BigQuery.
 </li>
 
 <li>
 Capabilities in statistical analyses, modeling, and exploratory data investigations.&nbsp;
 </li>
 
 <li>
 Strong communication skills, obsessively organized, meticulously detail-oriented.
 </li>
 
 <li>
 Knowledgeable in how to leverage AI tools to improve efficiency, accuracy, and workflows.&nbsp;
 </li>
 
 </ul>
 
 
 
 
 Preferred Skills &amp; Qualifications
 
 <ul>
 
 <li>
 Experience in adtech and/or media, marketing, or measurement analytics.
 </li>
 
 <li>
 Experience independently managing JIRA or similar ticketing and prioritization systems.
 </li>
 
 <li>
 Experience identifying opportunities for scaling common asks into repeatable processes.
 </li>
 
 </ul>
 
 
 
 
 
 
 
 Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&nbsp;&nbsp;We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
 
 
 
 &nbsp;
 
 
 
 
 Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law.
 
 
 For further details, please see Samba's
 
 
 Applicant Privacy Policy
 
 
 .
 
 
 For residents of the EU , Samba Inc. is the data controller.
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 Actual salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba TV&rsquo;s total compensation package for employees. Other rewards may include an annual bonus opportunity, short-term incentives, and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
 
</div>

Measurement Analyst

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
 <li>
 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
 <li>
 Create and manage new data integrations across internal and external systems
 </li>
 <li>
 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
 <li>
 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
 <li>
 Expert on SQL and Python (required)
 </li>
 <li>
 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
 <li>
 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
 <li>
 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
 <li>
 Experience developing scalable backend heavy applications
 </li>
 <li>
 Strong knowledge of statistics and experimentation
 </li>
 <li>
 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

Data Engineer

<div>
 Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You&rsquo;ll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies.As we continue to expand and create, we have a lot of exciting work ahead of us!
 
 
 Data Engineer, Analytics (Technical Leadership) Responsibilities:
 
 
 <ul>
 <li>
 Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
 </li>
 <li>
 Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
 </li>
 <li>
 Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
 </li>
 <li>
 Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
 </li>
 <li>
 Define and manage SLA for all data sets in allocated areas of ownership
 </li>
 <li>
 Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
 </li>
 <li>
 Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains
 </li>
 <li>
 Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
 </li>
 <li>
 Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
 </li>
 <li>
 Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
 </li>
 <li>
 Influence product and cross-functional teams to identify data opportunities to drive impact
 </li>
 <li>
 Mentor team members by giving/receiving actionable feedback
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 10+ years experience in the data warehouse space
 </li>
 <li>
 10+ years experience in custom ETL design, implementation and maintenance
 </li>
 <li>
 10+ years experience with object-oriented programming languages
 </li>
 <li>
 10+ years experience with schema design and dimensional data modeling
 </li>
 <li>
 10+ years experience in authoring SQL statements
 </li>
 <li>
 Experience analyzing data to identify deliverables, gaps and inconsistencies
 </li>
 <li>
 Experience managing and communicating data warehouse plans to internal clients
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 BS/BA in Technical Field, Computer Science or Mathematics
 </li>
 <li>
 Experience working with either a MapReduce or an MPP system
 </li>
 <li>
 Knowledge and practical application of Python
 </li>
 <li>
 Experience working autonomously in global teams
 </li>
 <li>
 Experience influencing product decisions with data
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $210,000/year to $281,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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