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data engineer

senior data engineer analytics

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.Discord is looking for experienced and passionate Senior Data Engineers to join our Data team! Our data infrastructure powers insights across the entire company, and we need Senior Data Engineers who are passionate about building the foundational datasets and pipelines that enable data-driven decision making at scale. You'll be building the analytical backbone that supports everything from product development to experimentation to machine learning - the systems that help us understand and improve how people experience Discord. Data Engineers at Discord collaborate with data science and engineering teams to build and support foundational high-leverage data sets that power tools, analyses, and models. The data sets built by DE directly inform how we identify opportunities, measure success, and make decisions. We're hiring for multiple verticals on our Data Engineering team, including Growth, User Lifecycle, Safety, and Gaming. If building elegant data systems that power insights for hundreds of millions of users sounds exciting, we'd love to hear from you! What You'll Be Doing Create and maintain data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs Design and build database architectures with massive and complex data, balancing ergonomic benefits with computational load and cost Partner closely with data science and engineering teams to improve instrumentation coverage, accuracy, and reliability across Discord's products Build scalable data quality audits, implementing automated alerting and anomaly detection systems that catch issues before they impact downstream consumers Proactively identify and execute opportunities to improve ETL performance, reduce costs, and enhance the overall data platform experience Create dashboards and reporting infrastructure that enable self-serve analytics and support key business objectives across functional teams Champion data engineering best practices including documentation, testing, and maintainable code that scales with Discord's growth What you should have 4+ years of experience building data pipelines in production environments with high volumes of consumer data 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources 4+ years of experience writing accurate and effective code in SQL and Python Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows) Experience proactively identifying opportunities to improve ETL &amp;amp; dashboard performance and cost Experience leveraging your excellent communication and stakeholder management skills to thrive in ambiguous environments where problems are not well-defined and evolve quickly Experience collaborating directly with data science, machine learning, and product engineering teams A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord Last but not least - a collaborative attitude and a healthy dose of natural curiosity! Bonus Points Discord passion: You're an active Discord user or have deep knowledge of gaming and creator communities Data architecture expertise: Experience owning data models for functional areas with deep knowledge of performant, scalable design patterns Modern data stack: Hands-on experience with BigQuery, Airflow, DBT, or similar technologies in production environments Visualization platforms: Proficiency with Looker, Tableau, or similar BI tools and understanding of how data architecture impacts dashboard performance Experimentation infrastructure: Experience designing data systems that power A/B testing and statistical analysis at scale Cross-functional collaboration: Experience working with compliance, legal, or litigation teams on data-related initiatives For Growth analytics: Experience working on SEO, GEO, or top-of-funnel growth features For Gaming:Background in gaming analytics or community-driven platforms For Safety: Background promoting best practices in data security, compliance, and governance standards For User Lifecycle: Experience measuring user engagement and activity across multiple platforms and lifecycle stages The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Senior Data Engineer, Analytics

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Kennedy/Jenks Consultants

Founded in 1919, KJ has always looked to the future. With a talented team of professionals and a culture of continuous improvement, we deliver exceptional engineering, environmental consulting, and construction management services, with a focus on innovation and sustainability. Using advanced analytics, technology, and tools, KJ improves designs, reduces risk, and finds better ways to deliver projects from planning through construction. KJ is at the forefront of developing sustainable solutions for clients, including green infrastructure design, strategies to reduce energy use and environmental impacts, award-winning water reuse projects, and efficient construction management practices that ensure quality, safety, and on-time delivery. We are known for our dedication to industry-leading client service and tailored solutions.
 
KJ is seeking a collaborative Senior Process Mechanical Engineer to join our growing Water Infrastructure team to projects company wide. The Senior Process Mechanical Engineer is responsible for ensuring the Water treatment processes are efficient, compliant with regulations and environmentally responsible.
 
Key Responsibilities: 
This position will function as the technical expert focusing on water process projects across the organization. This position will apply advanced engineering techniques and analysis for solution development, effectively communicate with all stakeholders and levels, and will manage projects focused on water process.
 
<ul>
<li>This position will be responsible for projects focused on detailed design and project management of small to large civil infrastructure projects including, but not limited to, water, sanitary sewer collection systems, pump stations and water treatment processes and plants.</li>
<li>Design and optimize water treatment processes, including physical, chemical and biological treatment systems, to maximize efficiency and minimize environmental impact.</li>
<li>Manage projects from the planning phase through construction.</li>
<li>Supporting business development and helping to identify and develop new water pursuits. Collaborate with our existing contacts in the wastewater industry to identify and develop new business opportunities.</li>
</ul>
Qualifications: 
<ul>
<li>7+ years of progressive relevant water experience</li>
<li>Bachelor's or Master's degree in Civil, Environmental or Mechanical Engineering. Advanced degree strongly preferred</li>
<li>Professional Engineer (PE) license required (ideally California, Oregon, Washington or Colorado with willingness and ability to add additional states)</li>
<li>Wastewater process experience with strong technical knowledge of the water industry</li>
<li>Demonstrated ability to provide excellent client service and interact positively with clients</li>
<li>Experience with business development and sales</li>
<li>Excellent written and oral communication skills</li>
<li>Design-Build experience a plus but not required</li>
</ul>
Kennedy Jenks supports a healthy work-life balance and utilizes a hybrid model of home and office work to empower our people to thrive and achieve their full potential.
 
Salary range for this position is anticipated to be $150,000 to $181,000, and may vary based upon education, experience, qualifications, licensure/certifications and geographic location.
 
Benefits summary: Medical, dental, vision, life and disability insurance, 401k, bonus opportunities, tuition reimbursement, professional registration support, a competitive PTO and holiday plan, and other benefits and programs.
 
#LI-Hybrid
 
Kennedy Jenks is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, pregnancy and pregnancy-related conditions, sexual orientation, gender identity, national origin, age, marital status, disability, citizenship status, genetics, protected veteran status, or any other characteristics protected by applicable law.

Senior Process Mechanical Engineer - Water

Tetra Tech

<div>The Opportunity: 
Glumac, a Tetra Tech Company, is hiring a Senior Mechanical Engineer for our Mechanical Team in San Francisco, CA. This role is ideal for an experienced mechanical engineer with an established local client network who wants to lead meaningful, high-impact projects across multiple market sectors. Join a collaborative team focused on high-performance, sustainable building systems and grow your technical and leadership footprint.
Position Summary: 
As a Senior Mechanical Engineer, you will lead projects from concept through construction, act as Engineer of Record on select assignments, and provide technical leadership and mentorship. You will design and deliver efficient HVAC systems that meet codes and client expectations, coordinate with architects and contractors, manage budgets and schedules, and help grow the practice locally.<div>
Essential Job Functions: 
The following duties are considered essential to the role. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions: 
<ul><li>Lead and manage a portfolio of mechanical engineering projects across laboratory/research facilities, commercial, education, government, and hospitality sectors.</li><li>Serve as Engineer of Record on assigned projects and ensure code compliance and constructability.</li><li>Develop sustainable HVAC system designs that optimize performance and energy use.</li><li>Prepare and review design drawings, specifications, and engineering calculations.</li><li>Manage project budgets, schedules, and client communications.</li><li>Coordinate design work with architects, contractors, and multi-disciplinary teams.</li><li>Mentor and train junior engineers; lead QC for deliverables.</li><li>Use industry software and modeling tools to inform design and decision making.</li></ul></div><div>
Required Qualifications: 
<ul><li>Bachelor&rsquo;s Degree in Mechanical Engineering or a related field.</li><li>Currently active Professional Engineer license in California.</li><li>10+ years of experience leading mechanical/HVAC system design across a diverse portfolio of projects</li><li>Demonstrated technical excellence across multiple market sectors, with experience delivering projects from concept through construction administration and certificate of occupancy.</li><li>Proven ability to supervise and mentor staff, supporting long-term professional development and team performance.</li><li>Strong leadership skills with a track record of delivering complex projects with technical precision.</li><li>In-depth knowledge of building and mechanical codes, standards, and best practices.</li><li>Familiarity with regional design practices and regulatory requirements in California and surrounding areas.</li><li>Proficiency in REVIT, AutoCAD, Trane Trace, and MS Office.</li></ul></div><div>
Preferred Qualifications: 
<ul><li>LEED AP BD+C and/or WELL certification.</li><li>Experience in strategic planning, resource management, and cross-disciplinary collaboration.</li><li>Prior track record in growing local client relationships or business development.</li></ul></div>
Work Environment and Location: 
This position offers a hybrid work environment, with a requirement of two in-office days per week in our San Francisco, CA office. All candidates must be located in and eligible to work in the U.S.
Compensation: 
Salary Range: $155,000-$190,000 (depending on experience) 
The base salary range represents the low and high end of the compensation scale for this role. Actual salaries will be determined based on location, experience, responsibilities, and qualifications. This salary range is just one component of Glumac&rsquo;s total compensation package, which includes benefits, professional development opportunities, and additional incentives. 
<div>Why Glumac, a Tetra Tech Company: 
Glumac has been a leader in the sustainable building design industry for over 50 years. In 2017 we joined Tetra Tech, enabling us to combine our expertise with the reach and resources of a prestigious global organization.
At Tetra Tech, we are Leading with Science to solve the world&rsquo;s most complex challenges. Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For nearly 60 years, we have been at the forefront of innovation and sustainability. Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development. Our work has improved more than 625 million lives around the world.
Your Impact: 
Join Glumac, a Tetra Tech company, to make a real difference. Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful change around the world. Discover your full potential &ndash; join us to advance your career while leaving a lasting legacy.<div>
Life at Glumac, a Tetra Tech Company: 
The perks of working at Glumac, a Tetra Tech company, include: 
<ul><li>Comprehensive and market-competitive benefits.</li><li>Merit-based financial rewards.</li><li>Flexibility and company-wide commitment to work/life balance.</li><li>Collaborative team atmosphere that values the contributions of all employees.</li><li>Learning and development opportunities for ongoing professional growth.</li></ul></div>
About Tetra Tech: 
Tetra Tech is the leader in water, environment, and sustainable infrastructure, providing high-end consulting and engineering services for projects worldwide. Our 25,000 employees work together to provide clear solutions to complex problems by Leading with Science&reg; to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition. 
 
Tetra Tech is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans.
We invite applications from all interested parties.</div></div>

Sr. Mechanical Engineer - San Francisco

Cargomatic

<div>Senior Data Architect &ndash; Data Engineering

Location: San Francisco, CA 
Reports To: VP of Engineering 
FLSA Status: Exempt 
Employment Type: Full-Time 
Compensation: $140,000 &ndash; $160,000 annually (based on experience)

About Cargomatic

Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions.

We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we'd love to meet you.

Position Summary

Cargomatic is seeking a Senior Data Architect &ndash; Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.

You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.

Key Responsibilities

Data Architecture &amp; Engineering
<ul>
<li>Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications
</li>
<li>Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)
</li>
<li>Define standards for data governance, reliability, performance, and cost optimization
</li>
<li>Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)
</li>
</ul>AI &amp; LLM-Enabled Systems
<ul>
<li>Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data
</li>
<li>Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar
</li>
<li>Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications
</li>
<li>Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks
</li>
</ul>Backend &amp; API Development
<ul>
<li>Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities
</li>
<li>Ensure observability, monitoring, and cost controls across AI and data services
</li>
<li>Contribute to microservices architecture and distributed system design
</li>
</ul>Collaboration &amp; Leadership
<ul>
<li>Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions
</li>
<li>Mentor junior engineers and contribute to architectural standards and best practices
</li>
<li>Drive innovation in data engineering and AI-powered logistics systems
</li>
</ul>Qualifications
<ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience
</li>
<li>8+ years of software or data engineering experience in production environments
</li>
<li>Strong expertise in data modeling, distributed systems, and scalable cloud architectures
</li>
<li>Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)
</li>
<li>Advanced SQL skills and deep understanding of modern storage formats
</li>
<li>Proficiency in Python and RESTful API development
</li>
<li>Experience integrating LLM APIs into production applications
</li>
<li>Strong understanding of system reliability, observability, and cost management in cloud environments
</li>
</ul>Desired Experience
<ul>
<li>Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval
</li>
<li>Experience designing multi-agent or agentic AI workflows with orchestration frameworks
</li>
<li>Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)
</li>
<li>Experience with microservices architecture and distributed system design
</li>
<li>Exposure to transportation, logistics, or supply chain domains
</li>
<li>Active GitHub contributions or demonstrated passion for emerging AI and data technologies
</li>
</ul>Why Join Cargomatic?

We offer competitive compensation and a comprehensive benefits package, including:
<ul>
<li>Medical, Dental, and Vision insurance
</li>
<li>401(k) with company match
</li>
<li>Flexible Spending Accounts (FSA)
</li>
<li>Company-paid Life and Disability insurance
</li>
<li>Flexible Paid Time Off (PTO) and company holidays
</li>
<li>Paid Parental Leave
</li>
<li>Employee Assistance Program (EAP)
</li>
<li>Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company
</li>
<li>Collaborative, high-impact team environment
</li>
</ul>Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.</div>

Data Engineer

Vercel

<div></div><div><div><div><div><ul><li>Data</li><li>
Hybrid (San Francisco)</li><li>
Full Time</li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader">
About Vercel:</h2>
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.</div><div></div><div><h2 class="jobSectionHeader">
About the Team</h2>
The Data Platform &amp; Engineering team builds and operates the infrastructure, systems, and data foundations that power decision-making and intelligent workflows across Vercel.
We design and maintain the data platform that enables analytics, experimentation, internal tooling, and emerging AI-powered agents. Our work provides the context and infrastructure behind company-wide interfaces, automation, and data-driven workflows.</div><div></div><div><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Summer Intern to join the Data Platform &amp; Engineering team. This role is designed to flex across Data Platform Engineering and Data Engineering, depending on your strengths and interests.
You&rsquo;ll work on foundational systems that power company-wide agents, internal tools, analytics environments, and operational workflows. This is an opportunity to contribute to high-impact infrastructure and data products used across the organization.
You will:<ul><li>
Build and improve data pipelines using SQL and Python</li><li>
Contribute to the development and reliability of our data platform infrastructure</li><li>
Help design and model datasets that power analytics, internal tools, and AI-driven workflows</li><li>
Improve data quality, observability, and governance across systems</li><li>
Support the infrastructure and contextual data layers that enable company-wide agents and interfaces</li><li>
Partner with engineering, product, finance, and operations stakeholders to translate business needs into scalable data solutions</li></ul>
Depending on your focus, projects may lean more toward:<ul><li>
Data Engineering: modeling, transformation, orchestration, analytics enablement</li><li>
Data Platform Engineering: infrastructure, tooling, performance optimization, developer experience for data systems</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
Currently pursuing a BS or MS in Computer Science, Data Science, or a related technical field</li><li>
Strong proficiency in SQL and Python</li><li>
Solid understanding of data modeling principles and relational databases</li><li>
Familiarity with data pipelines, ETL/ELT concepts, or workflow orchestration</li><li>
Comfort working in a collaborative, fast-moving engineering environment</li><li>
Strong problem-solving skills and attention to detail</li><li>
Based in SF/Bay Area &amp; open to commuting to SFHQ 2-3 days a week</li></ul>
Nice to Have:<ul><li>
Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, etc.)</li><li>
Exposure to cloud infrastructure (AWS, GCP, or similar)</li><li>
Experience working with large datasets or analytics systems</li><li>
Interest in AI/ML systems or agent-based workflows</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What You&rsquo;ll Gain</h2><ul><li>
Real-world experience building production-grade data infrastructure</li><li>
Exposure to modern data platform architecture at scale</li><li>
The opportunity to shape systems that power decision-making and AI-driven workflows across Vercel</li><li>
Mentorship from experienced data and platform engineers</li><li>
A meaningful, scoped project with measurable impact</li></ul></div></div></div></div>

Data Platform & Engineering Intern

Rippling

<div>About Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. 
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds. 
Based in San Francisco, CA, Rippling has raised $1.4B from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes. 
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses. 
About the role 
The Staff Technical Sourcer will play a critical role in building and executing sourcing strategies for Rippling&rsquo;s technical teams across multiple business units. This is a leadership position responsible for driving top-of-funnel success by identifying, engaging, and nurturing high-quality candidates. You will collaborate closely with hiring managers, cross-functional teams, and recruiting leadership to tackle complex sourcing challenges, provide market insights, and ensure a robust and diverse candidate pipeline. 
The ideal candidate is data-driven, proactive, and has a strong understanding of the technical talent landscape, with a focus on both local and global sourcing strategies. You will leverage data and market insights to refine sourcing approaches and work seamlessly with stakeholders to close top talent.<h3 class="jobSectionHeader"> 
What You Will Do</h3><ul><li>
Sourcing Strategy &amp; Execution 
Develop and lead sourcing strategies across a variety of technical roles, ensuring alignment with business needs and organizational priorities. Partner with stakeholders to continuously refine strategies based on market trends and data.</li><li>
Stakeholder Collaboration 
Build strong relationships with hiring managers and business unit leaders to ensure sourcing efforts are aligned with hiring goals. Lead calibration discussions, provide market intelligence, and unblock sourcing challenges.</li><li>
Data-Driven Decision Making 
Use analytics to track and measure sourcing performance. Review funnel metrics, conversion data, and market insights to continuously optimize sourcing efforts and adjust strategies.</li><li>
Candidate Engagement &amp; Relationship Management 
Manage relationships with candidates through a long lifecycle interview process, ensuring high engagement and providing a positive candidate experience. Effectively communicate with candidates at all levels, from entry-level to executive.</li><li>
Global Sourcing &amp; Market Insights 
Lead sourcing efforts across multiple countries and business units, understanding local market nuances and adapting strategies accordingly. Provide strategic insights on global talent acquisition and trends to ensure Rippling remains competitive in the talent market.</li><li>
Pipeline Health &amp; Maintenance 
Proactively develop and manage candidate pipelines, advising leadership on pipeline health and strategies for optimizing conversion rates. Provide guidance on how to manage and maintain strong, sustainable candidate pools.</li></ul><h3 class="jobSectionHeader">
What You Will Need</h3><ul><li>
8+ years of experience in technical sourcing or recruiting, with a proven track record of sourcing and closing top technical talent across multiple disciplines (e.g., software engineering, data science, IT infrastructure).</li><li>
Strong understanding of the technical talent landscape, including experience working with software engineering and other technical teams.</li><li>
Ability to leverage data and metrics to inform sourcing strategies and measure effectiveness.</li><li>
Proven ability to collaborate with senior leaders and hiring managers to drive recruiting strategies and unblock challenges.</li><li>
Exceptional communication and interpersonal skills, with the ability to engage candidates and stakeholders at all levels of the organization.</li><li>
Strong experience working in a fast-paced, high-growth environment with the ability to manage multiple priorities simultaneously.</li></ul> 
The pay range for this role is: 
162,000 - 198,000 USD per year(New York Office) 
162,000 - 198,000 USD per year(San Francisco Office) 
145,800 - 178,200 USD per year(Austin Office)</div>

Staff Technical Sourcer

Explore 132+ Senior data engineer analytics in San Francisco this February. Find roles across top companies and apply now to boost your career.