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Data Engineer, Analytics (Technical Leadership)

RZR Global Inc.

<div><p><b>Who are we?</b><br>
<br>
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.</p><br>
<h4 class="jobSectionHeader"><b>
Role Overview</b></h4>
<p>
RZR Global is seeking a talented Data Engineer to join our growing engineering team. This role is ideal for an engineer with a strong background in building and operating large-scale, high-performance data pipelines. As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our programmatic Demand-Side Platform (DSP), enabling real-time and batch processing of massive volumes of event, log, and campaign data. You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data is reliable, scalable, and accessible for analytics, reporting, and machine learning. You will collaborate closely with backend engineers, data scientists, and product teams to deliver high-quality data solutions that support real-time bidding (RTB), optimization, and business insights.</p>
<h4 class="jobSectionHeader"><b>
Key Responsibilities</b></h4>
<ul>
<li><p>Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data.</p>
</li>
<li><p>Lead the development of data processing systems using Kafka, Spark, ClickHouse, HDFS, and Fluentd, with a strong focus on performance, reliability, and data correctness.</p>
</li>
<li><p>Partner closely with backend engineers, data scientists, and product teams to define data models, SLAs, and end-to-end data flows that support real-time bidding (RTB), analytics, and machine learning use cases.</p>
</li>
<li><p>Drive performance optimization, capacity planning, and cost efficiency across streaming and batch data platforms.</p>
</li>
<li><p>Establish and enforce best practices around data quality, monitoring, alerting, testing, and operational readiness.</p>
</li>
<li><p>Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives.</p>
</li>
<li><p>Evaluate and introduce new data technologies, frameworks, and architectural improvements to evolve the data platform at scale.</p>
</li>
</ul><p></p><h4 class="jobSectionHeader"><b>Required Skills / Experience</b></h4>
<ul>
<li><p>6+ years of experience in data engineering, backend engineering, or distributed systems development.</p>
</li>
<li><p>Strong proficiency in building and operating large-scale data pipelines using technologies such as Kafka, Spark, ClickHouse, HDFS, and Fluentd.</p>
</li>
<li><p>Solid understanding of distributed systems concepts, including data partitioning, fault tolerance, consistency, and scalability.</p>
</li>
<li><p>Experience designing efficient data models and schemas for analytical and real-time workloads.</p>
</li>
<li><p>Strong experience with streaming and batch processing architectures.</p>
</li>
<li><p>Experience with performance tuning, capacity planning, and troubleshooting production data systems.</p>
</li>
<li><p>Familiarity with data quality, monitoring, alerting, and operational best practices.</p>
</li>
<li><p>Knowledge of real-time systems, ad tech, programmatic advertising, RTB, or large-scale analytics platforms is a plus.</p>
</li>
<li><p>Excellent problem-solving skills, strong ownership mindset, and ability to operate effectively in a fast-paced, high-scale environment.</p>
</li>
<li><p>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</p></li></ul></div>

Senior Data Engineer

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's Data Science &amp; Analytics team seeks an Analytics Engineer to embed within our Marketing organization. This is a high-impact, early-career role. You will be responsible for building the canonical data infrastructure, owning critical dashboards, and enabling Marketing stakeholders to execute faster, more confident, data-driven decisions.</p>
<p>
We require a genuinely AI-native professional&mdash;not merely familiar with tools like Claude, Cursor, or ChatGPT, but one who integrates them as a core part of their daily workflow. The successful candidate will possess a full-stack mindset, a bias for action, and deep curiosity about how marketing data drives tangible business outcomes.</p>
<p><b>
About the Team</b></p>
<p>
The Data Science &amp; Analytics team at Airtable is the company-wide partner for building data infrastructure, metrics, and insights that directly inform decision-making. The Marketing Analytics Engineer will embed with the Marketing organization, working directly with GTM data and Airtable's core data stack: dbt, Databricks, Looker, and Omni.</p>
<h1 class="jobSectionHeader"><b>
What you'll do</b></h1>
<ul><li><b>Canonical Marketing Data Sources</b>
<ul><li><b>Design and maintain</b> trustworthy data models for core marketing metrics, managing the full lifecycle from prototyping through production.</li>
<li><b>Develop and govern</b> dbt data pipelines, establishing data integrity standards and SLAs for timely, accurate delivery across the Marketing organization.</li>
</ul></li><li><b>Critical Dashboards and Self-Serve Tooling</b>
<ul><li><b>Build and optimize</b> dashboards that deliver real-time, self-serve insights across high-priority marketing areas: campaign performance, funnel conversion, pipeline contribution, and lead scoring.</li>
<li><b>Drive data independence</b> for Marketing stakeholders, eliminating reliance on ad-hoc data requests and manual reporting.</li>
</ul></li><li><b>AI-Native Data Infrastructure</b>
<ul><li><b>Collaborate</b> with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.</li>
<li><b>Lead the development</b> of tools that facilitate natural language data access and AI-assisted reporting for non-technical stakeholders.</li>
</ul></li><li><b>Trusted Partnership</b>
<ul><li><b>Serve as the primary data partner</b> for marketing managers, demand generation teams, and leadership.</li>
<li><b>Translate complex data insights</b> into clear business recommendations via dashboards, memos, and presentations.</li>
</ul></li><li><b>Domain Expertise</b>
<ul><li><b>Achieve a comprehensive mastery</b> of Airtable's marketing data models, existing pipelines, and BI tools (dbt / Looker / Omni) within the first 6 months, becoming the definitive internal expert.</li>
</ul></li></ul><h1 class="jobSectionHeader"><b>Who you are</b></h1>
<ul><li><b>Must-Have</b>
<ul><li>Expert-level SQL: Proven ability to write complex queries involving joins, aggregations, and window functions.</li>
<li>Proficiency with dbt or equivalent data transformation tools.</li>
<li>Experience with BI and visualization platforms (Looker, Omni, Tableau, Hex, or similar).</li>
<li>Active, demonstrated daily use of AI coding tools (Cursor, Claude, ChatGPT, Gemini). Candidates must provide specific, concrete examples of how these tools are integral to their work, moving beyond simple familiarity.</li>
<li>Mandatory use of GitHub for version control in a standard development workflow.</li>
<li>Exceptional communication skills: the ability to translate technical data findings into compelling business narratives for non-technical leadership.</li>
</ul></li><li><b>Nice-to-Have</b>
<ul><li>Python for data work (pandas, ETL scripting, or analysis).</li>
<li>Prior exposure to marketing data concepts: attribution, funnel metrics, lead scoring, or campaign performance.</li>
<li>Familiarity with CRM (Salesforce) or marketing automation platforms (Marketo).</li>
<li>Experience with Databricks or cloud data warehouses.</li>
<li>A public portfolio showcasing data or AI-assisted engineering work (GitHub, personal projects, Kaggle).</li>
</ul></li><li><b>Full-stack Mindset:</b> You own problems end-to-end and drive the solution, even if it requires expanding the original scope.</li>
<li><b>Bias for Action:</b> You prioritize effective delivery over perfection, operating with a 'ship, learn, and iterate' mentality.</li>
<li><b>Genuinely AI-Native:</b> AI tools are fundamental to your work process. You leverage them to write cleaner SQL, debug models faster, generate documentation, and prototype solutions, and can articulate your specific usage.</li>
<li><b>Data Storyteller:</b> You provide definitive business closure&mdash;framing findings as actionable recommendations, not just delivering technically correct output.</li>
<li><b>Thrives in Ambiguity:</b> You proactively create clarity and forward momentum, even when requirements are incomplete or rapidly changing.</li>
</ul>
<p>Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant<b>.</b></p>
<p>
VEVRAA-Federal Contractor</p>
<p>
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.</p><div><p>
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>
 <b>Stay Safe from Job Scams</b><br>
All official Airtable communication will come from an <b>@airtable.com</b> email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.</p></div></div>

AI Analytics Engineer (Marketing Analytics)

Uber

<div><b>About the Role</b>
<br>
<br>
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>
<b>What You Will Do</b>
<br>
<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.</li></ul><br>
<b>
Basic Qualifications
</b><br>
<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</li></ul><br>
<br>
<b>Preferred Qualifications</b><br>
<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</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. 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>

Data Engineer - Growth and Marketing Platform

The State Bar of California

<div><p><b>Office of Information Technology
</b></p><p>Annual Salary Range Lead IT Analyst: $112,497 - $149,972
</p><p>FLSA Exempt / Union Represented
</p><p>This position allows for up to four days of remote work per week<br>
</p><p><br>
<b>About the Office
</b></p><p>The Office of Information Technology (IT) is responsible for enabling State Bar&rsquo;s internal and external stakeholders by the management, implementation, and maintenance of an organization's technology to support of State Bar&rsquo;s mission and goals. The office&rsquo;s primary goals are to build and maintain functional capabilities, to support innovation and to ensure that all systems are running smoothly, efficiently, and securely to support the needs of the organization and its stakeholders.
</p><p><b>Job Overview
</b></p><p>The Office of Information Technology is seeking a Lead Data Engineer to join our dynamic team at the State Bar of California. In this role, you will define and drive the modernization of our data infrastructure using Microsoft cloud technologies. As the technical authority for the Bar&rsquo;s data platform, you will lead the development of scalable, automated data pipelines, establish governance standards, and guide cross-functional teams to deliver data driven solution that support Analytics, AI, compliance, and operational efficiency.
</p><p><b>The Ideal Candidate
</b></p><p>The ideal candidate is a hands-on technical leader with experience in building scalable, cloud-based data solutions. This individual brings a strong understanding of modern data architectures, data integration patterns, and secure design principles and is capable of driving architectural decisions that align with long-term business goals.
</p><p>They have demonstrated success in leading cross-functional collaboration, setting standards for data quality and governance, and building reusable data frameworks that support analytics, automation, and decision making.
</p><p>A clear understanding of compliance standards (e.g.,PII, PCI, HIPAA, CPRA) and experience applying those principles in large scale environments is essential. Microsoft certification in one or more of the following is strongly desired: Azure Data Engineer Associate; Power BI Data Analyst Associate; Azure Solutions Architect Expert; or any other data analysis-related certifications.
</p><p><b>Definition
</b></p><p>With minimum direction, the Lead IT Analyst provides technical leadership and direction for major IT projects, and/or serves as the technical authority for one or more related functions, including: network operating systems; software applications; data analytics applications, project/program management; product management; desktop support; system engineering; network infrastructure; database management; cloud services administration; and web server management. The Lead IT Analyst performs advanced, highly specialized IT work involving the business requirements, analysis, product roadmaps, planning, project management, architecture, designing, implementation, maintenance, troubleshooting, and/or enhancement of complex IT systems and procedures, and may serve in a lead capacity over other IT analysts and support staff.
</p><p><b>Distinguishing Characteristics
</b></p><p>The Lead IT Analyst is the highest level in the IT Analyst series and may be assigned to a function as an individual technical expert, project team leader. When assigned as a technical expert, performs work requiring a very high level of technical knowledge of a specific area, or ability to integrate at a high level the knowledge of several areas, while working with a significant amount of independent authority and judgment. When assigned as a project team leader, manages and provides technical leadership of projects involving large-scale, complex, and highly analytical tasks. When assigned as a supervisor, may perform work comparable to a project team leader, but with direct supervision over subordinate IT analysts and support staff.
</p><p>The Lead IT Analyst is distinguished from the Senior IT Analyst in that the former performs the most complex IT operations and applications-related duties, provides technical leadership and direction to lower-level IT staff, and assumes responsibility for completion of major IT projects in accordance with the State Bar&rsquo;s needs. The Lead IT Analyst also provides strategic input and guidance within the incumbent&rsquo;s area of specialization.
</p><p><b>Role-Specific of Essential Duties
</b></p><p>Duties may include, but are not limited to the following:
</p><ul><li>Lead the design, development, and maintenance of scalable data pipelines using Azure Data Factory, Synapse Analytics, and Data Lake Storage to ingest, transform, and publish structured and unstructured data.
</li><li>Drive the automation of end-to-end and event-driven workflows using Azure Logic Apps, ensuring real-time or scheduled data synchronization and integration with external systems.
</li><li>Direct enterprise-level data modeling and transformation efforts to support reporting, dashboards, and analytics, including validation and quality checks to ensure consistency and reliability.
</li><li>Guide and collaborate with IT and business teams to gather data requirements, define transformation logic, and develop shared documentation such as the data dictionaries.
</li><li>Develop and oversee enhancements of the Azure-based data architecture, focusing on scalability, reusability, and long-term maintainability.
</li><li>Establish and implement data governance standards, including metadata management, lineage tracking, and data privacy and security controls aligned with organizational compliance needs.
</li><li>Optimize datasets for Power BI and promote self-service analytics through clean, reusable data models and standardized practices.
</li><li>Manage, monitor, troubleshoot, and tune pipeline performance, proactively resolving issues and establishing observability standards for operational reliability.
</li><li>Ensure comprehensive documentation and lead knowledge transfer efforts to support long-term IT business and user sustainability and system adoption.
</li><li>Maintain and support databases for custom and legacy applications, including performance tuning, backup and recovery, indexing, and monitoring.
</li><li>Spearhead the optimization of stored procedures, ETL jobs, and scheduled tasks, ensuring efficiency and reliability across both modern and legacy environments.
</li><li>Partner with application teams to troubleshoot and resolve data-related issues, implement fixes, and ensure data integrity in legacy platforms.
</li><li>Lead enterprise data migration efforts aligning strategies for access control, security, and compliance as data moves from legacy to modern platforms.
</li><li>Build and maintain an enterprise data dictionary and catalog to improve data discoverability and consistency across the organization.
</li><li>Lead and implement data security and compliance standards, across the Bar&rsquo;s data footprint.
</li></ul><p><b>Examples of Essential Duties
</b></p><p>When assigned to the IT Application Engineering, Product Management, or Program Management Teams, duties may include, but are not limited to the following:
</p><ul><li>Analyzes and evaluates existing IT applications, products, and systems for cost effective and efficient operation, and identifies opportunities for modifications and improvements; prepares feasibility studies and project proposals accordingly.
</li><li>Plans, designs, tests, develops, and integrates solutions based on operational needs to support the business roadmap.
</li><li>Determines project schedules and allocation of resources for projects; determines operating characteristics, requirements; monitors the utilization of resources to ensure optimal effectiveness and efficiency; resolves production issues; and ensures projects, tasks and other activities are completed on schedule and in a timely and efficient manner.
</li><li>Monitors and maintains existing IT applications and products to ensure optimal functionality.
</li><li>Acts as the leader, supervisor, and primary point of contact for their assigned team.
</li><li>Coordinates closely with other IT staff and business partners to accomplish the collective goals and objectives of assigned programs, projects, and activities.
</li><li>Develops, maintains, and enforces various standards, best practices, procedures, policies and standard operating processes.
</li><li>Serves as the subject matter expert, mentor, guide in their respective area of expertise.
</li></ul><p>When assigned to the IT Operations and Infrastructure Team Duties may include, but are not limited to the following:
</p><ul><li>Supports the IT Director and IT Management team in the development, planning, estimating, and implementation of goals, objectives, and other activities for modifications and improvements.
</li><li>Acts as the leader, supervisor, and primary point of contact for the IT Operations and Infrastructure Team.
</li><li>Oversees the desktop support team and/or infrastructure team to ensure that all known incidents and Zendesk tickets are accurately identified and assigned efficiently; ensures that any tickets that cannot be resolved within agreed timeframes are properly escalated.
</li><li>Oversees the desktop support team and/or infrastructure team, and manages the ticket queue and incoming requests related to IT issues.
</li><li>Administers and supports configurations and maintains records of end-user&rsquo;s equipment. Endpoints include laptops, mobile devices, printers, AV systems, and other related peripherals.
</li><li>Oversees the infrastructure configuration and management to support State Bar data retention, security, business continuity, disaster recovery planning/testing, and information risk management policies.
</li><li>Coordinates closely with IT Application Engineering, IT PMO, and IT Product Management teams to accomplish the goals and objectives of assigned programs, projects, and activities.
</li><li>Collaborates with end-users and the system engineer team to ensure optimal functionality and system effectiveness.
</li></ul><p><b>Role Specific Employment Standards
</b></p><p>Knowledge of:
</p><ul><li>Advanced functions of computer information systems, including the core hardware and software components that comprise complex IT systems and networks, as well as personal computer applications, word processing, and spreadsheet programs.
</li><li>Analysis and evaluation techniques to plan, design, integrate, implement, maintain and troubleshoot complex IT systems and networks.
</li><li>Techniques and practices of supervision, leadership, project management, and training.
</li><li>Project management and information systems development, design, and maintenance.
</li><li>Technical, operational, and programming problem-solving analysis.
</li><li>Principles of Agile application development methodologies.
</li><li>Problem identification, analysis and evaluation.
</li><li>Principles of effective writing and verbal presentation.
</li></ul><p>Desired Knowledge:
</p><ul><li>Proficient in building scalable data pipelines using Azure Data Factory, Synapse Analytics, Azure Data Lake, and Logic Apps.
</li><li>Strong SQL skills with experience in data transformation, validation, and optimization for reporting and analytics.
</li><li>Skilled in dimensional modeling and modern data platform design to support dashboarding and analytical use cases.
</li><li>Familiar with data quality frameworks, including validation, anomaly detection, and exception handling processes.
</li><li>Experience with metadata management, data cataloging, and governance tools such as Azure Purview (or equivalents).
</li><li>Familiarity with CI/CD practices and version control systems such as Git.
</li><li>Demonstrated ability to translate business needs into technical requirements and collaborate effectively across IT and business teams.
</li><li>Strong communication, documentation, and stakeholder engagement skills to support alignment and knowledge sharing.
</li><li>Data engineering languages such as Python.
</li><li>Knowledge of data security best practices including encryption, data masking.
</li><li>Familiarity with data visualization tool Power BI.
</li><li>Technical, operational, and programming problem-solving analysis.
</li><li>Problem identification, analysis and evaluation.
</li><li>Principles of effective writing and verbal presentation.
</li></ul><p>Ability to:
</p><ul><li>Exercise independent judgement, decisiveness, and creativity in designing, planning, troubleshooting, and integration of complex systems or networks based on the potential benefits and/or consequences.
</li><li>Analyze, evaluate, present and recommend technology methodologies and solutions.
</li><li>Solve problems with minimal disruption or impact to the organization business functions.
</li><li>Develop technology guidelines and standards.
</li><li>Develop alternative solutions within established guidelines and standards.
</li><li>Prioritize competing requests for service.
</li><li>Develop policies, procedures and standards relevant to the area of expertise.
</li><li>Interpret and implement IT policies, procedures, and standards.
</li><li>Operate modern office equipment including computer hardware, software, and internet and web-based applications.
</li><li>Compile data and prepare narrative and statistical reports.
</li><li>Communicate clearly and concisely, both orally and in writing.
</li><li>Establish and maintain effective interpersonal relationships at all organizational levels as well as with the public.
</li><li>Maintain the confidentiality of information.
</li></ul><p><b>General Employment Standards
</b></p><p>Knowledge of:
</p><ul><li>Advanced functions of computer information systems, including the core hardware and software components that comprise complex IT systems and networks, as well as personal computer applications, word processing, and spreadsheet programs.
</li><li>Analysis and evaluation techniques to plan, design, integrate, implement, maintain and troubleshoot complex IT systems and networks.
</li><li>Techniques and practices of supervision, leadership, project management, and training.
</li><li>Project management and information systems development, design, and maintenance.
</li><li>Technical, operational, and programming problem-solving analysis.
</li><li>Principles of Agile application development methodologies.
</li><li>Problem identification, analysis and evaluation.
</li><li>Principles of effective writing and verbal presentation.
</li></ul><p>Ability to:
</p><ul><li>Exercise independent judgement, decisiveness, and creativity in designing, planning, troubleshooting, and integration of complex systems or networks based on the potential benefits and/or consequences.
</li><li>Analyze, evaluate, present and recommend technology methodologies and solutions.
</li><li>Solve problems with minimal disruption or impact to the organization business functions.
</li><li>Determine the systems or networking requirements to plan for or enhance the core data processing needs for the system or network.
</li><li>Develop technology guidelines and standards.
</li><li>Develop alternative solutions within established guidelines and standards.
</li><li>Direct, schedule, and orchestrate the installation, maintenance, and enhancements of complex IT systems and networks.
</li><li>Prioritize competing requests for service.
</li><li>Develop policies, procedures and standards relevant to the area of expertise.
</li><li>Interpret and implement IT policies, procedures, and standards.
</li><li>Plan, schedule, make work assignments, set priorities, train, mentor, evaluate, and select staff;
</li><li>Operate modern office equipment including computer hardware, software, and internet and web-based applications.
</li><li>Compile data and prepare narrative and statistical reports.
</li><li>Appropriately respond to requests and inquiries from the public, State Bar members, or other departments.
</li><li>Communicate clearly and concisely, both orally and in writing.
</li><li>Establish and maintain effective interpersonal relationships at all organizational levels as well as with the public.
</li><li>Maintain the confidentiality of information.
</li></ul><p><b>Minimum Qualifications
</b></p><p>Education:
</p><ul><li>Bachelor&rsquo;s degree in computer science or a closely related field that develops skills related to the essential duties, or equivalent academic achievement.
</li></ul><p>Experience:
</p><ul><li>Five (5) years of experience at the advanced journey-level in the information systems field including system analysis, business process design, development and implementation of business application solutions or IT project management, of which at least one (1) year was in a lead capacity.
</li></ul><p>License, Certificate, Registration Requirements:
</p><ul><li>Possession of one or more approved information technology certificates and/or completion of other approved technology-related training may substitute for some or all of the required education.
</li></ul><p>Applicants who meet the Minimum Qualifications will be required to successfully complete the State Bar&rsquo;s selection process for this classification.
</p><p><b>About the State Bar
</b></p><p>The State Bar of California&rsquo;s mission is to protect the public and includes the primary functions of licensing, regulation, and discipline of attorneys; the advancement of the ethical and competent practice of law; and support of efforts for greater access to, and inclusion in, the legal system.
</p><p><b>Our Values
</b></p><p>Clarity | Investing in Our People | Excellence | Respect | Growth Mindset</p><p><br>
</p><p><b>DEI Statement
</b></p><p>We are a diverse, equitable, and inclusive workplace where all of our employees and prospective employees experience fairness, dignity, and respect.</p></div><p></p>

Lead Data Engineer

LiveRamp

<div><div>LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases&mdash;within organizations, between brands, and across its premier global network of top-quality partners.</div><div></div><div>
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.</div><div><br>
As we scale our self-service analytics and AI capabilities, we&rsquo;re looking for a Senior Analytics &amp; Insights Engineer to develop scalable data solutions and intuitive tools that bring insights directly to business teams.</div><div></div><div>
The Senior Analytics &amp; Insights Engineer plays a critical role in delivering trusted, scalable analytics solutions to stakeholders across Sales, Finance, and GTM. Working closely with architects and data engineering, you&rsquo;ll help shape data models and pipelines that serve as the foundation for high-impact dashboards and predictive analytics. You&rsquo;ll design user-centric tools that empower teams to explore data, gain insights, and make better decisions &mdash; powered by platforms like BigQuery, AI, ML, and Tableau.</div><div></div><div><br>
You Will:</div><ul><li><div>
Collaborate with data engineering to build scalable data models, semantic layers, and metrics using dbt and BigQuery.</div></li><li><div>
Translate business needs into user-friendly, self-service dashboards, agents, and analytical products for stakeholders in Sales, Customer Success, and Finance to provide actionable insights and improve decision-making.</div></li><li><div>
Deliver deep-dive &quot;so-what&quot; analyses and strategic insights via descriptive, diagnostic, and predictive analytics/ML modeling on complex datasets, presenting findings to leadership for forecasting/business use cases.</div></li><li><div>
Define, validate, and build company-wide corporate metrics with cross-functional teams.</div></li><li><div>
Work with DE, IT teams to automate data pipelines and ETL automation for manual processes .</div></li><li><div>
Optimize, refactor, validate, and document business logic, metrics, and data products to ensure proper governance of quality, accuracy, and scalability.</div></li><li><div>
Act as a liaison across business and technical teams to align analytical solutions with strategic goals.</div></li><li><div>
Lead complex cross-functional analytics projects.</div></li><li><div>
Help define best practices for scalable analytics design and contribute to data strategy.</div></li></ul><div></div><div>
About You:</div><ul><li><div>
5+ years of experience in analytics engineering, business intelligence, or data analytics roles</div></li><li><div>
Hands-on experience building dashboards using Tableau or a similar BI tool</div></li><li><div>
Strong proficiency in SQL and working with large datasets in BigQuery or similar cloud data warehouses</div></li><li><div>
Understanding of key metrics and workflows in Sales, GTM, or Finance functions</div></li><li><div>
Experience collaborating with data engineers and working with dbt or other data modeling frameworks</div></li><li><div>
Experience using AI, BigQuery ML, or other no-code/low-code ML tools for predictive modeling</div></li><li><div>
Familiarity with data governance principles including documentation, privacy, and access controls</div></li><li><div>
Ability to translate business needs into scalable, user-friendly analytics solutions</div></li><li><div>
Bachelor&rsquo;s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, or related field), or equivalent practical experience</div></li></ul><div></div><div><br>
Preferred Skills:</div><ul><li><div>
Experience with AI agent frameworks, natural language querying, or building AI-powered user interfaces</div></li><li><div>
Familiarity with SaaS business metrics such as pipeline coverage, sales efficiency, customer acquisition cost, etc</div></li><li><div>
Prior experience in a cloud-native data environment such as Google Cloud Platform (GCP)</div></li><li><div>
Exposure to LiveRamp&rsquo;s data ecosystem (e.g., identity resolution, clean rooms, audience activation)</div></li><li><div>
Experience supporting self-service analytics adoption across business team</div></li></ul><div></div><div>
The approximate annual base compensation range is $115,000 to $179,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.</div><div></div><div><br>
Benefits:</div><ul><li><div>
People: Work with talented, collaborative, and friendly people who love what they do.</div></li><li><div>
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.</div></li><li><div>
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.</div></li><li><div>
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.</div></li><li><div>
Savings: Our 401K matching plan&mdash;1:1 match up to 6% of salary&mdash;helps you plan ahead. Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)</div></li><li><div>
RampRemote: A comprehensive office equipment and ergonomics program&mdash;we provide you with equipment and tools to be your most productive self, no matter where you're located</div></li></ul><div></div><div>
More about us:</div><div></div><div><i>
LiveRamp&rsquo;s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles&mdash;one that informs how we hire, train, and grow our global team across nine countries and four continents. Click </i><div><i>here </i></div><i>to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.</i></div><div></div><div>
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.</div><div></div><div>
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.</div><div><br>
California residents: Please see our <div>California Personnel Privacy Policy</div> for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.</div><div><br>
To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.</div></div>

Senior Analytics & Insights Engineer

Ripple

<div><div><p>At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.</p>
<p>
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</p></div><p>
At Ripple, we're building a world where value moves like information does today. It's big and bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments, and developers, we improve the global financial system. We craft greater economic fairness and opportunity for more people in more places globally. We perform the best work of our careers and develop our skills with colleagues who have our backs.</p>
<p>
If you're ready to see your impact and embrace meaningful new challenges, join us, and build real world value.</p>
<p><b>
The Work:</b></p>
<p>
We're seeking a Senior Staff Engineer to act as the technical architect and strategic leader for Ripple's data platform. This role is one of the highest-impact individual contributor positions on the Data team. You will build a coherent, unified view of Ripple's data across all business units. You will establish the definitive source of truth for company metrics and lead our &quot;AI for Data&quot; transformation. You will collaborate across data teams and work directly with senior leadership in Data, Product, Engineering, and Go-to-Market to develop how Ripple understands itself through data. You won't just build systems; you will define the technical vision that connects them. This sits at the intersection of architecture, integration, governance, and applied AI.</p>
<p><b>
What you'll do:</b></p>
<ul>
<li>Build &quot;One View&quot; of Ripple by serving as the main architect for a Unified Data Fabric. Construct a well-rounded view of Ripple's data platforms, pipelines, and tools. Craft the systems and interoperability standards that bring data together across all business units for leadership, product, and GTM teams.</li>
<li>Compose and build the Ripple Metrics Store, a definitive, governed layer that serves as the single source of truth for business metrics across all business units.</li>
<li>Define metrics governance, ownership models, and validation frameworks. Build and maintain the Metrics Glossary in partnership with the Data Science team, and collaborators crafting a shared language for how Ripple measures its business.</li>
<li>Define and lead the AI roadmap for the Data organization setting the vision for how AI transforms the way Ripple builds, governs, and consumes data.</li>
<li>Enable conversational analytics and intelligence by architecting AI Agents that allow non-technical collaborators to self-serve insights directly from the data platform.</li>
<li>Automate data engineering workflows by encouraging use of AI-powered coding assistants for SQL/ETL generation. Define the standards, validation frameworks, and guidelines for AI-generated code across the team.</li>
<li>Lead cross-team build reviews, setting the technical bar for data architecture decisions across the organization.</li>
<li>Mentor and up-level engineers across data teams, raising the standard for system building, code quality, and engineering rigor.</li>
<li>Act as the main technical consultant to senior leadership across Data, Product, and Engineering regarding long-term technical bets, platform investments, and build-vs-buy decisions.</li>
</ul>
<p><b>What you'll bring:</b></p>
<ul>
<li>14+ years of experience in data engineering, data architecture, or related software engineering fields, with a significant portion spent in senior technical leadership or architect roles.</li>
<li>Having a track record of bringing together data ecosystems from multiple business units, you have built the connections that convert isolated data platforms into a consistent entity.</li>
<li>Deep expertise in modern data architecture, data mesh, lakehouse patterns, with hands-on experience in technologies like Spark, Kafka, Airflow, dBT, Databricks, and cloud-native data services (AWS, GCP, or Azure).</li>
<li>Experienced in metrics governance and semantic layers, you have established or planned metrics stores, business glossaries, or comparable systems that provide an organization's source of truth.</li>
<li>Demonstrated experience with AI/ML in data engineering contexts, whether building feature stores, deploying AI-powered data quality monitoring, integrating LLMs into developer workflows, or crafting agentic systems for data operations.</li>
<li>Architectural vision paired with execution ability, you can whiteboard a multi-year platform strategy and also get into the code to prototype critical path components.</li>
<li>With outstanding communication and influence skills, you comfortably present to VP/C-level audiences. You translate technical trade-offs into business language and build consensus among teams with competing priorities.</li>
<li>A collaborative, ego-free approach to leadership, you lead through influence and technical credibility, not through title.</li>
<li>Experience with blockchain data, on-chain analytics, or large-scale financial/payments data is a plus.</li>
<li>Direct involvement with LLM-enabled developer tools and agents, AI code synthesis, RAG-style data catalogs, natural language querying interfaces, or agent orchestration solutions is beneficial.</li>
<li>BS or equivalent experience in Computer Science or similar.</li>
</ul><p></p><div>
<p><b>WHO WE ARE:</b></p>
<p>
Do Your Best Work</p>
<ul>
<li>The opportunity to build in a fast-paced start-up environment with experienced industry leaders</li>
<li>A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.</li>
<li>Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.</li>
<li>In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.</li>
<li>Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team</li>
<li>We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!</li>
</ul>
<p>Take Control of Your Finances</p>
<ul>
<li>Competitive salary, bonuses, and equity</li>
<li>Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support</li>
<li>Employee giving match</li>
<li>Mobile phone stipend</li>
</ul>
<p>Take Care of Yourself</p>
<ul>
<li>R&amp;R days so you can rest and recharge</li>
<li>Generous wellness reimbursement and weekly onsite &amp; virtual programming</li>
<li>Generous vacation policy - work with your manager to take time off when you need it</li>
<li>Industry-leading parental leave policies. Family planning benefits.</li>
<li>Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events</li>
</ul>
<p><i>Benefits listed above are for full-time employees.</i></p>
<p></p>
<div><i>Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.</i></div>
<div></div>
<div><i>Please find our </i><i>UK/EU Applicant Privacy Notice </i><i>and our </i><i>California Applicant Privacy Notice</i><i> for reference.</i></div></div></div><p></p>

Senior Staff Engineer — Data Engineering & Architecture

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