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senior data engineer Jobs in San Francisco

senior data engineer

analytics engineer

GoodLeap

<div><div>About GoodLeap:</div><div>
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap&rsquo;s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.</div><div>
</div><div>
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.</div><div></div><h3 class="jobSectionHeader"><b><br>
Position Summary</b></h3>
<div>We are seeking a Staff Analytics Engineer with skills in pipeline development and data modeling to support data enablement and operational reporting for our Corporate teams, including legal, compliance, and accounting. Our ideal candidate has a strong foundation in pipeline development, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and expand on data reports used by Corporate teams. As Corporate teams use data generated in all parts of the business, you will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to Corporate teams, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul>
<li>Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions</li>
<li>Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs.</li>
<li>Develop datasets and dashboards within an agile framework.</li>
<li>Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.</li>
<li>Assist business users in identifying and deploying the right tool for each use case, including performing new tool and technology evaluations.</li>
<li>Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations.</li>
<li>Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul>
<li>BS in Computer Science, DS, or related technical degree or equivalent work experience</li>
<li>6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role</li>
<li>5+ years' hands-on SQL experience in a work environment</li>
<li>Experience with data management, documenting process and data flows, and ensuring data quality</li>
<li>Experience with ETL processes, software development, and lifecycle awareness</li>
<li>Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders</li>
<li>Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses</li>
<li>Analytical mindset and willingness to identify and question assumptions</li>
</ul><div>In addition to the above salary, this role may be eligible for a bonus and equity.</div><div><b>
Additional Information Regarding Job Duties and Job Descriptions:</b></div><div></div><div><br>
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.</div><div></div><div><b><br>
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!</b></div><div></div><div><br>
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our <b>Employment Privacy Policy</b> and <b>Recruiting Policy on AI</b>.</div>
<p>
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.</p></div>

Staff Analytics Engineer, Corporate

<div><div>About GoodLeap:</div><div>
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap&rsquo;s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.</div><div>
</div><div>
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.</div><div></div><h4 class="jobSectionHeader"><b><br>
Position Summary</b></h4>
<p>
We are seeking a Staff Analytics Engineer with skills in pipeline development, data modeling and reporting to support data enablement and operational reporting for our corporate teams, including product, sales, operations, risk and compliance. Our ideal candidate has a strong foundation in pipeline development, reporting, data architecture, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and scale data products used by corporate teams. You will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to stakeholders, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.</p>
<h3 class="jobSectionHeader"><b>
Essential Job Duties &amp; Responsibilities
</b></h3><div><div><ul><li><p>Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions</p>
</li>
</ul></div><div><ul><li><p>Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs.</p>
</li>
</ul></div><div><ul><li><p>Build datasets, pipelines, and dashboards using &lsquo;Agile&rsquo; framework.</p>
</li>
</ul></div><div><ul><li><p>Design scalable data models and architecture patterns that support analytics use cases, ensuring alignment with organizational standards and data strategy.</p>
</li>
</ul></div><div><ul><li><p>Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations.</p>
</li>
</ul></div><div><ul><li><p>Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms.</p>
</li>
</ul></div><div><ul><li><p>Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.</p>
</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Required Skills, Knowledge &amp; Abilities
</b></h3><div><ul><li><p>BS in Computer Science, DS, or related technical degree or equivalent work experience</p>
</li>
</ul></div><div><ul><li><p>6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst or similar role</p>
</li>
</ul></div><div><ul><li><p>5+ years' hands-on SQL experience in a work environment</p>
</li>
</ul></div><div><ul><li><p>Experience with data modeling, documenting process and data flows, and ensuring data quality</p>
</li>
</ul></div><div><ul><li><p>Experience with ETL processes, software development, and lifecycle awareness</p>
</li>
</ul></div><div><ul><li><p>Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders</p>
</li>
</ul></div><div><ul><li><p>Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses</p>
</li>
</ul></div><div><ul><li><p>Analytical mindset and willingness to identify and question assumptions</p>
</li>
</ul></div><div>In addition to the above salary, this role may be eligible for a bonus and equity.</div><div><b>
Additional Information Regarding Job Duties and Job Descriptions:</b></div><div></div><div><br>
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.</div><div></div><div><b><br>
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!</b></div><div></div><div><br>
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our <b>Employment Privacy Policy</b> and <b>Recruiting Policy on AI</b>.</div>
<p>
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.</p></div>

Staff Analytics Engineer, Business Solutions

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)

Baselayer

<div>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   About Baselayer
   <br/>
  </strong>
  Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer&rsquo;s B2B risk solutions and identity graph network leverage state and federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   About the Role
   <br/>
  </strong>
  We are looking for a Data Engineer to build and scale Baselayer&rsquo;s data infrastructure. You will own the pipelines and data systems that power analytics, reporting, and machine learning across the company, with a focus on reliability, performance, and data quality.
 </p>
 <p>
  This role is hands-on and highly cross-functional. You will work closely with Product and Engineering to ensure data is accessible, trusted, and delivered in a way that supports product capabilities in a regulated environment.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Design, build, and maintain scalable data pipelines that ingest, clean, validate, and transform data from internal systems and external sources
   </p>
  </li>
  <li>
   <p>
    Own data reliability and quality through monitoring, alerting, lineage, and validation frameworks
   </p>
  </li>
  <li>
   <p>
    Build and maintain data models and curated datasets that support analytics, dashboards, customer reporting, and downstream ML use cases
   </p>
  </li>
  <li>
   <p>
    Partner with Engineering to define best practices for data architecture, storage, access controls, and performance
   </p>
  </li>
  <li>
   <p>
    Implement orchestration and scheduling for batch and near-real-time workflows as needed
   </p>
  </li>
  <li>
   <p>
    Optimize pipeline performance, cost, and scalability as data volumes grow
   </p>
  </li>
  <li>
   <p>
    Develop and maintain documentation and runbooks for pipelines, datasets, and operational procedures
   </p>
  </li>
  <li>
   <p>
    Identify data gaps and instrumentation needs, and work with engineering teams to improve event capture and logging
   </p>
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   About You
   <br/>
  </strong>
  You want to learn fast, take ownership, and do work that matters. You are not just doing this for the win. You are doing it because you have something to prove and want to be great.
 </p>
 <p>
  You thrive in the details, care about correctness, and take pride in building robust systems that other teams can rely on. You operate with urgency, handle ambiguity well, and consistently raise the bar on data quality and reliability.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Required Experience and Skills
  </strong>
 </p>
 <ul>
  <li>
   <p>
    1 to 3 years of experience in data engineering, analytics engineering, or backend engineering with significant data pipeline ownership
   </p>
  </li>
  <li>
   <p>
    Strong Python skills and experience building production-grade data workflows
   </p>
  </li>
  <li>
   <p>
    Strong SQL skills with experience designing data models and transforming large datasets
   </p>
  </li>
  <li>
   <p>
    Experience building and maintaining ETL or ELT pipelines and working with data warehouses or analytics databases
   </p>
  </li>
  <li>
   <p>
    Familiarity with orchestration tools and workflow scheduling (for example Airflow, Dagster, Prefect, or similar)
   </p>
  </li>
  <li>
   <p>
    Strong understanding of data quality, testing, observability, and operational best practices
   </p>
  </li>
  <li>
   <p>
    Comfort working with large-scale datasets and troubleshooting performance issues
   </p>
  </li>
  <li>
   <p>
    Ability to communicate clearly with technical and non-technical stakeholders
   </p>
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   What Sets You Apart
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Experience working with identity, fraud, risk, compliance, or other regulated datasets
   </p>
  </li>
  <li>
   <p>
    Experience integrating with external data sources, APIs, and government or registry data
   </p>
  </li>
  <li>
   <p>
    Familiarity with streaming or near-real-time data patterns
   </p>
  </li>
  <li>
   <p>
    Highly feedback-oriented with a desire for continuous improvement
   </p>
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Work Location
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Hybrid in SF, in office 3 days per week
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Compensation and Benefits
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Salary range of $122,000 to $167,000
   </p>
  </li>
  <li>
   <p>
    Equity package
   </p>
  </li>
  <li>
   <p>
    Unlimited vacation
   </p>
  </li>
  <li>
   <p>
    Comprehensive health coverage
   </p>
  </li>
  <li>
   <p>
    401(k) with company match
   </p>
  </li>
 </ul>
</div>


Data Engineer

Triumph

<div><h1 class="jobSectionHeader"><b>About Us</b></h1><p>
Triumph makes mobile gaming more thrilling by letting players wager - and win - real money, play in mass multiplayer games, and compete in social tournaments. We've built the top app in our App Store category and sustained exponential month-over-month growth on our revenue and active players. We're hyper-scaling our team and continuing to innovate, launching new products like Rips, our collectibles app, which has found huge success and is continuing to expand. And we're just getting started.</p><p>
Triumph is backed by some of the top consumer VCs including Goodwater Capital, General Catalyst, and DraftKings Drive Fund.</p><p></p><h1 class="jobSectionHeader"><b>
The Role</b></h1><p>
Triumph is a skill-based real-money gaming platform in a period of rapid growth. Real money flows through every game, every matchmaking decision, and every payout, which means the data infrastructure powering those systems has to be fast, reliable, and built to scale.</p><p>
As our first dedicated data engineering hire, you'll own the full data stack: ingestion, transformation, warehouse architecture, pipeline reliability, and the systems that connect model outputs back to production. You'll work at the intersection of a quantitative strategy team and a fast-moving engineering org, building the foundation that both depend on.</p><p></p><h1 class="jobSectionHeader"><b>
What You'll Do</b></h1><ul><li><p>
Architect and own the data warehouse. Design and optimize our BigQuery environment for performance, cost, and reliability as data volumes scale with user growth.</p></li><li><p>
Build and maintain transformation layers. Own our dbt project end-to-end, including models, testing, documentation, and CI/CD, turning raw event streams into clean, trusted datasets.</p></li><li><p>
Pipeline orchestration. Build and manage robust data pipelines with proper orchestration, monitoring, alerting, and failure recovery. Nothing should break silently.</p></li><li><p>
Real-time data systems. Design and implement streaming infrastructure for use cases where batch processing falls short: live game economics, real-time risk signals, and in session player behavior.</p></li><li><p>
Reverse ETL and production integration. Close the loop between model outputs and the product by getting scores, segments, and predictions back into production systems where they drive real decisions.</p></li><li><p>
Data quality and reliability. Build the testing, validation, and monitoring frameworks that let a small team trust the data at scale.</p></li><li><p>
Partner with DS and engineering. You'll sit between two teams that move fast and need different things from the data layer. Translate between them and make both more productive.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Qualifications</b></h1><ul><li><p>
Strong software engineering fundamentals. You write clean, maintainable, well-tested code.</p></li><li><p>
Deep experience with SQL and Python in production data contexts.</p></li><li><p>
Hands-on experience with data warehousing (BigQuery, Snowflake, Redshift, or similar) and transformation frameworks (dbt strongly preferred).</p></li><li><p>
Experience building and operating data pipelines with orchestration tooling (Airflow, Dagster, Prefect, or similar).</p></li><li><p>
Understanding of data modeling patterns (dimensional modeling, slowly changing dimensions, incremental materialization).</p></li><li><p>
Ability to work independently and make sound architectural decisions. You'll have a lot of autonomy and you need to use it well.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Preferred</b></h1><ul><li><p>
Experience with streaming/real-time data systems (Kafka, Pub/Sub, Flink, or similar).</p></li><li><p>
Familiarity with analytics engineering and the modern data stack (Fivetran, Statsig, or similar tools).</p></li><li><p>
Exposure to quantitative or financial data environments where correctness and latency matter.</p></li><li><p>
Experience being an early or first data engineering hire. You've built from zero before and know what to prioritize.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Why This Role</b></h1><p>
You'd be building and owning the entire data engineering function at a hypergrowth consumer startup where data runs through every layer of the business. Every product decision, every dollar of revenue, and every player interaction flows through the stack you'll build. You'll set the architecture, choose the tooling, define the standards, and see your work become load-bearing infrastructure from day one. If you want to build something from scratch at a company that lives and breathes data, this is a rare opportunity</p><p></p><h1 class="jobSectionHeader"><b>
Why Triumph?</b></h1><ul><li><p><b>
High growth. </b>Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.</p></li><li><p><b>
High agency. </b>Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.</p></li><li><p><b>
High energy. </b>Passionate team who are proud of our work and velocity (16x year over year growth).</p></li><li><p><b>
Competitive salary and benefits.</b> $400/mo lunch credit, healthcare, vision, dental, 401k, etc.</p></li></ul><p></p><p>
Our team gathers 5 days a week at Triumph&rsquo;s headquarters at Levi&rsquo;s Plaza in San Francisco.</p><p>
Compensation Range: $160K - $240K</p></div>

Senior Data Engineer

SS&C

<div><div>As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.</div><div></div><div>
Job Description</div><div></div><div>
Lead Data Engineer (SS&amp;C Technologies, Inc.; San Francisco, CA): The Lead Data Engineer is based at SS&amp;C&rsquo;s office in San Francisco, CA with a telecommuting benefit. The incumbent must reside within commuting distance from SS&amp;C&rsquo;s San Francisco office. The Data Engineer will join a team that creates a leading cloud platform with the latest big data, cloud native and machine learning technologies. Specific responsibilities will include: Build and implement models in a production environment for a revenue-driving product; Create and maintain overall optimal data pipeline architecture; Assemble large, complex data sets that meet functional / non-functional business requirements; Manage data migrations/conversions and troubleshooting data processing issues; Create the pipeline for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources; Build large scale data platform infrastructures to power other products; Lead a squad (feature team) to deliver strategic client features including data movement and data synchronization; and Work with other architect engineers to propose architecture designs that will solve a business problem with bigger impact and reduce technical debts in the long run.</div><div></div><div>
Minimum requirements: Master&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 3 years of pre- or post-Master&rsquo;s experience in any occupation in which the required experience is gained.</div><div></div><div>
Alternate Education and Experience: Bachelor&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 6 years of experience in any occupation in which the required experience is gained.</div><div></div><div>
Must have: Master programming skills in Python and SQL. Deep knowledge of big data platforms technologies including Spark, Hive, Airflow, Data Hub, Delta Lake or Iceberg. Strong algorithm &amp; data structure basis. Experience leading a team technically to deliver large business features. Great architecture principles and decision-making skills. Strong problem-solving skills with a can-do attitude. Great software engineering best practices with git and version control systems. Solid communication skills to explain complex data pipelines to both technical and non-technical people. Excellent writing and documenting skills.</div><div></div><div>
Salary: $194,834.00 to $210,000.00 per year.</div><div></div><div>
Apply online at <div>https://www.ssctech.com/about-us/careers</div> or send resume to: Angela Lamar, Talent Acquisition, SS&amp;C Technologies, Inc., <div>alamar@sscinc.com</div>. Ref: 00087619. An EOE.</div><div></div><div>
#LI-DNI</div><div></div><div>
Unless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.</div>
SS&amp;C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.<div>
SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.</div><div></div>
Salary is determined by various factors including, but not limited to, relevant work experience, job related knowledge, skills, abilities, business needs, and geographic regions.<div></div>
California: Salary range for the position: 194,834 USD to 210,000 USD.</div><div></div>

Lead Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): Ref 00087619

ACR Technology Inc

<p>Job Description: Data Engineer Eligibility:<br/>Only U.S. Citizen or Green Card<br/>Responsibilities<br/>Design, build, and maintain scalable ETL pipelines, data workflows, and data warehousing solutions for analytics and reporting. Develop and optimize data modeling solutions, databases, and large-scale datasets using platforms such as Google BigQuery, Hive, and cloud-native technologies. Write and optimize complex SQL queries and implement Python, Spark, and Scala-based data transformations. Build and maintain batch and streaming data pipelines using Spark, PySpark, Scala, and messaging systems such as Kafka. Orchestrate workflows and automate data processes using Apache Airflow. Integrate data from multiple sources, including third-party systems via REST APIs, ensuring data quality, consistency, governance, and compliance. Collaborate with product, engineering, and business teams to translate requirements into scalable technical solutions. Test, deploy, monitor, and support data solutions across cloud environments (AWS, Azure, or GCP). Document processes, contribute to continuous improvement initiatives, and provide technical guidance to users and cross-functional teams.</p><p>Qualifications<br/>5+ years of experience in data engineering, analytics, or related fields. Advanced proficiency in SQL and strong programming skills in Python and/or Scala. Hands-on experience with ETL processes, data modeling, and data warehousing concepts. Experience working with cloud data platforms such as Google BigQuery, AWS, or Azure. Strong experience with Spark (PySpark/Scala) and big data technologies such as Hive and Kafka. Experience building and managing workflows using Apache Airflow. Experience integrating systems using REST APIs. Knowledge of data governance, data quality, and compliance best practices. Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience.</p><p>Pay: $60.00 - $70.00 per hour</p><p>Work Location: In person</p>

Data Engineer (Only local to California, W2, GC and USC )

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