analytics engineer

sent

<div><p><b>About Sent</b></p><p>
Sent is an infrastructure for sending A2P messages across SMS, WhatsApp, and RCS through a single unified API. Our intelligent routing model automates channel selection based on deliverability and cost, ensuring lower cost and global reach without any channel-specific integrations.</p><p>
We recently closed a $5.1M Seed round backed by Companyon Ventures, Bessemer Venture Partners, UIF, and CEAS Investments. We're hiring to build the best infrastructure to replace multi-channel messaging stacks.</p><p>
We're hiring a Data &amp; Analytics Engineer to build Sent's data infrastructure from the ground up. You'll design the pipelines, models, and dashboards that make messaging performance, revenue, and operational health legible across the company &mdash; and eventually, directly to our customers.</p><p><b>
About the Role</b></p><p>
Sent processes millions of messages across SMS, WhatsApp, and RCS. The data those messages generate tells a story about delivery performance, carrier behavior, customer growth, and product quality. Right now, much of that story is untold. You'll be the person who builds the systems to surface it.</p><p>
You'll work directly with leadership, engineering, and go-to-market to define the metrics that matter, instrument the platform to capture them, and build the reporting that drives decisions. This is a foundational hire - you'll have significant ownership and influence over how the company uses data.</p><p><b>
In this role, you will&hellip;</b></p><ul><li><p>
Design and build data pipelines that turn raw messaging events into structured, queryable data.</p></li><li><p>
Build internal dashboards and reporting tools that drive decisions across sales, ops, product, and engineering.</p></li><li><p>
Define and maintain core KPIs - delivery rates, latency, carrier performance, customer health, revenue metrics.</p></li><li><p>
Partner with engineering to improve logging, instrumentation, and data capture across the platform.</p></li><li><p>
Lay the groundwork for customer-facing analytics (delivery dashboards, message performance insights).</p></li><li><p>
Support financial and operational reporting as the company scales.</p></li></ul><p><b>
You'll be a great fit if you&hellip;</b></p><ul><li><p>
Have 3+ years in analytics engineering, data engineering, or a similar role.</p></li><li><p>
Are strong in SQL and experienced with modern data stack tools (dbt, Snowflake/BigQuery, Airflow, Fivetran, or similar).</p></li><li><p>
Have built dashboards in tools like Metabase, Looker, or Grafana.</p></li><li><p>
Are comfortable working with event-driven data and high-volume systems.</p></li><li><p>
Can write Python or a similar scripting language for data manipulation.</p></li><li><p>
Have a bias toward building things that are clean, well-documented, and maintainable.</p></li></ul><p><b>
Nice to have</b></p><ul><li><p>
Experience at an API-first company.</p></li><li><p>
Familiarity with PostHog or similar product analytics tools.</p></li><li><p>
Exposure to usage-based pricing models and how to measure unit economics.</p></li><li><p>
Experience building customer-facing data products or analytics features.</p></li></ul><p><b>
Our Commitment to You</b></p><ul><li><p>
Meaningful equity with high growth potential</p></li><li><p>
Top-tier medical, dental, vision fully covered</p></li><li><p>
401(k) with 100% match up to 4%</p></li><li><p>
Unlimited PTO</p></li><li><p>
Beautiful NYC workspace with daily meals and unlimited snacks</p></li><li><p>
New MacBook Pro + Apple Studio Display</p></li><li><p>
Fully comped Wellhub Gold or Equinox membership</p></li></ul><p><i>
Sent, Inc. is an Equal Opportunity Employer committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experiences.</i></p><p>
Compensation Range: $130K - $160K</p></div>

Data Analytics Engineer

Resonance

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Resonance is transforming the fashion industry by building a more sustainable and valuable ecosystem for designers, brands, manufacturers, consumers, and the planet. Our AI-powered operating system, ONE, empowers brands to design, sell, and make products efficiently and sustainably. Resonance ONE drives end-to-end garment creation with minimal environmental impact, eliminating overproduction and unnecessary inventory.
 <br/>
 <br/>
 With headquarters in New York City and Santiago, Dominican Republic, Resonance partners with leading brands&mdash;including THE KIT and Rebecca Minkoff&mdash;to significantly reduce resource use: 97% less dye, 70% less water, and 50% less material compared to traditional fashion brands.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re seeking a talented Data and Analytics Engineer to build, maintain, and scale our data infrastructure. You&rsquo;ll play a crucial role in shaping our analytical capabilities, enabling Resonance to leverage data-driven insights effectively across our complex, integrated technology stack.
 <br/>
 <br/>
 In this role, you&rsquo;ll develop and maintain robust ELT pipelines, transforming data from diverse sources&mdash;including telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms&mdash;into structured, accessible datasets within Snowflake. Additionally, you&rsquo;ll craft sophisticated LookML models to power interactive analytics, dashboards, and explorers used daily by our business teams.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable ELT pipelines that reliably transform raw data from sources such as Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses.
  </li>
  <li>
   Create efficient, maintainable data models within Snowflake that serve as the foundation for analytics, reporting, and data-driven decision-making.
  </li>
  <li>
   Develop and refine LookML models, enabling intuitive exploration, dashboards, and actionable analytics for non-technical business users.
  </li>
  <li>
   Collaborate closely with product teams, engineers, and business stakeholders to identify data needs, gather requirements, and deliver high-impactdata solutions.
  </li>
  <li>
   Continuously improve data quality, governance, and accessibility, implementing best practices for data management and compliance.
  </li>
  <li>
   Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness.
  </li>
  <li>
   Stay updated on the latest data engineering technologies, approaches, and analytics tools to ensure Resonance maintains industry-leading capabilities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of relevant experience in data engineering, analytics engineering, or a related field.
  </li>
  <li>
   Strong proficiency in building robust ELT/ETL data pipelines using modern tools and practices.
  </li>
  <li>
   Hands-on experience with Snowflake or similar cloud data warehousing platforms.
  </li>
  <li>
   Proficiency with SQL and database modeling techniques for analytics.
  </li>
  <li>
   Experience building analytics layers and semantic models (LookML strongly preferred; experience with similar BI tools like dbt or Tableau considered).
  </li>
  <li>
   Familiarity integrating data from external sources such as Shopify, SendGrid, or other SaaS platforms.
  </li>
  <li>
   Strong analytical mindset, problem-solving capabilities, and attention to detail.
  </li>
  <li>
   Excellent collaboration and communication skills in remote, cross- functional environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous startup or rapid-growth environment experience.
  </li>
  <li>
   Advanced knowledge of Snowflake performance optimization and cost management.
  </li>
  <li>
   Experience with Looker, LookML, and creating intuitive, interactive analytics products.
  </li>
  <li>
   Familiarity with Python scripting for data pipelines and automation.
  </li>
  <li>
   Interest or experience in sustainability, e-commerce, fashion-tech, or manufacturing domains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We offer comprehensive benefits (medical, dental, and vision), competitive salary, equity participation, and remote work flexibility.
 <br/>
 <br/>
 Resonance Companies is an equal opportunity employer committed to diversity, inclusion, and innovation. All employment decisions are based solely on qualifications, merit, and business need.
</div>


Data and Analytics Engineer

Apple

<p>At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses.<br>
<br>
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.<br>
<br>
We are looking for an experienced Data Pipeline Engineer to support our growing advertising business. In this role, you will work within our Apple Ads Sales Operations team to support and empower the sales analytics organization by leveraging your business knowledge and context to build data pipelines powering internal reporting and tools.<br>
<br>
<b>Description</b><br>
<br>
A successful candidate will have deep experience in building data pipelines to support analytics and reporting across a globally distributed sales team. The role requires both a broad knowledge of existing analytical techniques and strong business insight. You&rsquo;ll be working on projects where tools and methods are used to drive real-world business value, using creativity to invent and customize when necessary.&quot;,&quot;responsibilities&quot;:&quot;Use modern tools and technologies to build reliable and performant pipelines for reporting and analytics<br>
<br>
Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - driving the generation of insights from complex data in support of our global sales organization<br>
<br>
Collaborate closely with business stakeholders to understand their priorities, support the rollout of sales strategies, and build foundational data sets that directly support strategic decision-making<br>
<br>
Partner cross-functionally within Apple Ads to ensure proper data quality, availability and governance.<br>
<br>
Build and enhance internal business intelligence, data visualization and reporting capabilities.<br>
<br>
Support the rollout of sales strategies by building foundational data sets and analyses, incorporating a focus on measuring outcomes and success.<br>
<br>
Must be able to work in a rapidly changing and dynamic environment<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced education degree in data science, statistics, economics, computer science or other quantitative field<br>
<br>
Experience in Ad Tech or digital advertising<br>
<br>
Strong track record of building data pipelines<br>
<br>
Ability to understand and contextualize the needs of key business stakeholders and translate those requirements into scalable data models that support analytics and reporting<br>
<br>
Exceptional written and verbal communication skills<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
4+ years of relevant industry experience using analytics to solve business problems<br>
<br>
Fluency with SQL for coding and database querying<br>
<br>
Experience with DBT<br>
<br>
BS in data science, statistics, economics, computer science or other quantitative field<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Data Pipeline Engineer, Apple Ads Sales Ops

CrowdStrike

<div><div>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn&rsquo;t changed &mdash; we&rsquo;re here to stop breaches, and we&rsquo;ve redefined modern security with the world&rsquo;s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We&rsquo;re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We&rsquo;re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.</div><div></div><div>
About the Role:</div><div>
We are CrowdStrike, a fast-growing security company that protects our wide range of customers from cybersecurity attacks. We are looking for a strong Data Analytics Engineer to join our team supporting Product and Engineering. In this critical role, you'll partner closely with technical stakeholders to deliver the metrics, models, and infrastructure that drive product strategy, roadmap decisions, and adoption insights. You&rsquo;ll work with large-scale product telemetry and system data to help CrowdStrike measure feature usage, guide engineering investments, and understand user behavior across our cybersecurity platform.</div><div></div><div><i>
This is a hybrid role based out of our office in NYC. The candidate should be comfortable visiting the office twice a week once the development center is established.</i></div><div></div><div>
What You'll Do:</div><ul><li><div>
Assist our decision makers by gathering insights that help us improve our products or give us hints on areas where we need to put additional focus on.</div></li><li><div>
Translate business questions from Product and Engineering into clear metrics, models, and visualizations.</div></li><li><div>
Collaborate with cross-functional teams to define and track product KPIs tied to adoption, engagement, performance, and customer outcomes.</div></li><li><div>
Design and implement reliable, scalable data pipelines to ingest and transform product usage and adoption data.</div></li><li><div>
Manage various data sources, creating Extract-Transform-Load (ETL) solutions, and designing data models based on latest technologies and best practices.</div></li><li><div>
Significant role in defining the data architecture and helping various stakeholders to translate product questions into measurable metrics and KPIs.</div></li><li><div>
Proactivity, self-learning capabilities and communication are crucial.</div></li><li><div>
End-to-end ownership of the data pipeline, from data collection to meaningful presentation of the defined metrics.</div></li><li><div>
Develop ETL jobs to gather data from multiple sources and provide insights into various product areas.</div></li><li><div>
Build data warehouses where large amounts of metrics and data will be stored.</div></li><li><div>
Interact with many product groups within the organization to help define business questions and help transform those to metrics.</div></li><li><div>
Develop and maintain data visualizations that effectively communicate data insights to stakeholders.</div></li><li><div>
Implement data visualization tools to support the requirements and help present various metrics in a clear and consistent manner.</div></li><li><div>
Participate in configuring and receiving uptime alerts related to the services you control.</div></li><li><div>
Keeping services up and running in a healthy state, including optimization of their performance and stability.</div></li><li><div>
Develop automations for data validation to ensure data integrity and consistency over time.</div></li></ul><div></div><div>
What You'll Need:</div><ul><li><div>
Must be eligible for CJIS clearance (typically requires U.S. citizenship or permanent residency).</div></li><li><div>
5+ years of experience in a data-centric role (Data Analyst, Data Engineer, or hybrid).</div></li><li><div>
Ability to translate business needs into scalable, trustworthy data solutions.</div></li><li><div>
Experience of architecting data pipelines - data ingestions, ETLs, reporting and visualizations</div></li><li><div>
Experience extracting data from large data systems. LogScale preferred.</div></li><li><div>
Experience programming in at least one object-oriented programming language, featuring strong types. Python or Golang preferred.</div></li><li><div>
Experience developing and consuming RESTful API web services.</div></li><li><div>
Experience interacting with major cloud provider APIs to provision cloud infrastructure, and to monitor it - Amazon Web Services (AWS), Azure, Google Cloud (GCP) and Oracle Cloud Infrastructure (OCI).</div></li><li><div>
Experience using RDBMS databases, such as Postgres, and accompanying knowledge of SQL.</div></li><li><div>
Experience with data modeling and Extract-Transform-Load (ETL).</div></li><li><div>
Experience with data visualization tools and infrastructures to create insightful reports and dashboards. Tableau preferred.</div></li><li><div>
Proficiency in using Claude code to build AI-powered reports aggregating data from disparate sources.</div></li></ul><div></div><div>
Bonus Points:</div><ul><li><div>
Experience with analytical databases.</div></li><li><div>
Experience with dbt, Airflow, or other modern orchestration frameworks.</div></li><li><div>
Experience with Golang and Streaming pipelines.</div></li><li><div>
Knowledge of product telemetry systems or event-based data structures.</div></li><li><div>
Experience working in cybersecurity, SaaS, or public sector analytics.</div></li><li><div>
Exposure to cloud platforms like AWS, GCP, or Azure.</div></li><li><div>
Understanding data structures and commands for a key-value distributed caching solution, such as Redis.</div></li><li><div>
Understanding data structures and various APIs, for full-text search of application logs and event data in Elasticsearch.</div></li><li><div>
Experience with Cassandra, CQL, and its wide-column store database.</div></li><li><div>
Experience using graph structures (ie. nodes, edges), graph data, and graph databases.</div></li><li><div>
Experience using a message queue. Kafka preferred.</div></li><li><div>
Strong data visualization skills to present complex data structures proficiently and actionably.</div></li></ul><div></div><div>
#LI-IL1</div><div>
#LI-DG1</div><div>
#HTF</div><div></div><div>
Benefits of Working at CrowdStrike:</div><ul><li><div>
Market leader in compensation and equity awards</div></li><li><div>
Comprehensive physical and mental wellness programs</div></li><li><div>
Competitive vacation and holidays for recharge</div></li><li><div>
Paid parental and adoption leaves</div></li><li><div>
Professional development opportunities for all employees regardless of level or role</div></li><li><div>
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</div></li><li><div>
Vibrant office culture with world class amenities</div></li><li><div>
Great Place to Work Certified&trade; across the globe</div></li></ul><div><br>
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.</div><div></div><div>
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs-on valid job requirements.</div><div></div><div>
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at <div>recruiting@crowdstrike.com</div> for further assistance.</div><div></div><div><div>
Find out more about your rights as an applicant.</div></div><div></div><div>
CrowdStrike participates in the E-Verify program.</div><div></div><div><div>
Notice of E-Verify Participation</div></div><div><div>
Right to Work</div></div><div></div>
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.<div></div><div>
For detailed information about the U.S. benefits package, please <div>click here</div>.</div></div><div></div>

Sr. Engineer - Data Analytics (Hybrid)

Canary Technologies

<div><div><div><b>About Us</b></div><div>
Canary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform.</div><div></div><div><br>
Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results.<br>
</div><div></div><br>
<div>Canary was named a 2024 Deloitte Technology Fast 500&trade; company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work &mdash; and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners.<br>
</div><div></div><br>
<div><b><i>Join us in shaping the future of hospitality!</i></b></div><div></div><div><b><br>
About the Role</b></div>
<div></div>
<div>We're looking for a Senior Business Intelligence Analyst to lead and define the analytics function at Canary. You'll be the go-to expert on all things data and analytics &mdash; owning the strategy, infrastructure, and outputs that the business relies on to make decisions. You'll work across every function and directly with enterprise customers, shaping not just what we measure but how we think about data as a company.</div></div>
<div><div><h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div><div><ul>
<li>Own the analytics strategy and roadmap &mdash; define the vision for how Canary uses data, what we measure, and where we invest in analytics capabilities</li>
<li>Be the company's analytics expert &mdash; serve as the authority on our data, metrics, and analytical best practices across all teams</li>
<li>Lead the architecture of our analytics platform in partnership with data engineering, including tooling, data modeling, and warehouse design decisions</li>
<li>Build and own the data pipelines and business analytics that power reporting and decision-making across the organization</li>
<li>Design and maintain dashboards and analyses that give leadership and cross-functional teams clear visibility into business performance</li>
<li>Drive strategic conversations with product, sales, go-to-market teams, and leadership &mdash; proactively identifying opportunities and risks in the data, not waiting to be asked</li>
<li>Work directly with enterprise customers on data feeds, custom reporting, and analytics integrations</li>
<li>Own and evolve our KPIs and metrics frameworks &mdash; ensure the company has a consistent, well-understood set of metrics and that teams are aligned on definitions and methodology</li>
<li>Establish and maintain comprehensive data documentation and a metrics source of truth &mdash; build the processes and culture that make data accessible and understandable to everyone at Canary</li>
<li>Set and enforce data quality standards through governance practices, validation, and cross-team accountability</li>
<li>Enable self-serve analytics across the organization by building intuitive data models, tooling, and documentation that reduce dependency on ad-hoc requests</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>What We're Looking For</b></h3><div><div><ul>
<li> 5+ years of experience in a BI, analytics, or analytics engineering role, with a track record of owning an analytics function end-to-end</li>
<li> Excellent SQL skills and deep experience with data warehouses (e.g., Snowflake, BigQuery, Redshift)</li>
<li> Experience designing and maintaining dashboards in modern BI tools (e.g., Tableau, Looker, Metabase)</li>
<li> Strong understanding of data pipeline tooling and ETL/ELT concepts</li>
<li> Proven ability to translate ambiguous business problems into structured analytical frameworks and actionable recommendations</li>
<li> Strong communication and presentation skills &mdash; comfortable engaging with executive leadership and enterprise customers alike</li>
<li> A knack for documentation and knowledge sharing &mdash; you believe that data is only useful if people understand it</li>
<li> Opinionated about data quality and governance, with a track record of raising the bar</li>
<li> Experience working cross-functionally and influencing decisions without direct authority</li>
<li> Self-directed and comfortable with ambiguity &mdash; you don't need someone to tell you what to analyze next</li>
</ul></div></div></div></div><div><div>$80,000 - $130,000 a year</div><div><i>
The base salary range for this role is $80,000-$130,000 annualized salary. This is subject to standard withholding and applicable taxes. Actual compensation will be commensurate with the candidate&rsquo;s skill level, experience, and specific work location. This role may also include the opportunity to earn a discretionary bonus and/or equity.</i></div></div>
<div><div>We also work hard to ensure Canary is a fun and exciting place to work! Here are some of the additional benefits:</div><div></div><div><b><br>
Canary Days:</b> As a company we want to ensure that the team has time to recharge. Each month we provide company wide days off to ensure there is at least one extended weekend or day off.</div><div></div><div><b><br>
Self Improvement Club:</b> We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals.</div><div></div><div><b><br>
Professional Development Chats:</b> We provide budget to help drive cross functional professional development conversations across the organization.</div><div></div><div><b><br>
Travel Reimbursement:</b> Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so. Spend time working with the team in their office, and use the rest of your time exploring a new city!</div><div></div><div><b><br>
Personal Travel Reimbursement:</b> If you stay at a hotel that Canary works with, we provide a credit towards your stay.</div><div></div><div><i><br>
Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.</i></div></div></div><div></div>

Senior Business Intelligence Analyst

Ramp

<div>
 <strong>
  About Ramp
  <br/>
  <br/>
 </strong>
 At Ramp, we&rsquo;re rethinking how modern finance teams function in the age of AI. We believe AI isn&rsquo;t just the next big wave. It&rsquo;s the new foundation for how business gets done. We&rsquo;re investing in that future &mdash; and in the people bold enough to build it.
 <br/>
 <br/>
 Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. More than 50,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $10B and 27.5M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $100 billion in purchases each year.
 <br/>
 <br/>
 Ramp&rsquo;s investors include Lightspeed Venture Partners, Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, Redpoint, and ICONIQ, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies&mdash;Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One&mdash;as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
 <br/>
 <br/>
 Ramp has been named to Fast Company&rsquo;s Most Innovative Companies list and LinkedIn&rsquo;s Top U.S. Startups for more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine&rsquo;s 100 Most Influential Companies.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
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  <li>
   Drive a culture of experimental design, testing agenda, and best practices
  </li>
  <li>
   Contribute to the culture of Ramp&rsquo;s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
  </li>
  <li>
   Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
  </li>
  <li>
   Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
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   <br/>
  </li>
 </ul>
 <strong>
  What You Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
  </li>
  <li>
   Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
  </li>
  <li>
   Track record of shipping high quality products and features at scale
  </li>
  <li>
   Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
  </li>
  <li>
   Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
  </li>
  <li>
   Experience within the payments and financial technology space
  </li>
  <li>
   Familiarity with B2B enterprise sales cycle metrics and processes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Our Teams
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Product Data | Ramp&rsquo;s Product Data team is responsible for delivering data products and insights that shape Ramp&rsquo;s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA&rsquo;d. The team embeds deeply as a partner to engineering, product, and design.
  </li>
  <li>
   Risk &amp; Capital Markets Data | Ramp&rsquo;s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
  </li>
  <li>
   Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web &amp; Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits (for U.S.-based Full-time Employees)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   100% medical, dental &amp; vision insurance coverage for you
  </li>
  <ul>
   <li>
    Partially covered for your dependents
   </li>
   <li>
    One Medical annual membership
   </li>
  </ul>
  <li>
   401k (including employer match on contributions made while employed by Ramp)
  </li>
  <li>
   Flexible PTO
  </li>
  <li>
   Fertility HRA (up to $10,000 per year)
  </li>
  <li>
   Parental Leave
  </li>
  <li>
   Unlimited AI token usage
  </li>
  <li>
   Pet insurance
  </li>
  <li>
   Centralized home-office equipment ordering for all employees
  </li>
  <li>
   Health and Wellness stipend
  </li>
  <li>
   In-office perks: lunch, snacks, drinks, and more
  </li>
  <li>
   Budget for intra-office travel
  </li>
  <li>
   Relocation support to NYC or SF (as needed)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Referral Instructions
  <br/>
  <br/>
 </strong>
 If you are being referred for the role, please contact that person to apply on your behalf.
 <br/>
 <br/>
 <strong>
  Other Notices
  <br/>
  <br/>
 </strong>
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 <br/>
 <br/>
 <em>
  Beware of recruiting scams: Ramp will only contact you through official @
 </em>
 <em>
  Ramp.com
 </em>
 <em>
  email addresses and will never ask for payment or sensitive personal information during the hiring process.
  <br/>
  <br/>
 </em>
 Ramp Applicant Privacy Notice
</div>


Data Scientist, All Levels

Hudson Manpower

<div><p><b>About the Role</b></p><p>
We are seeking a <b>highly skilled Senior Data Architect / Application Engineer</b> to join our team. In this role, you will be responsible for designing, implementing, and maintaining data platforms and application infrastructure. You will play a key role in driving innovative data solutions while ensuring platform reliability, security, and performance.</p><p></p><p><b>
Location:</b> New York City, NY (Hybrid &ndash; 3 days onsite)</p><p><b>
Interview Process:</b> In-person interview required in NYC.</p><p><b>
Work Authorization:</b> Only W2 candidates will be considered. C2C is allowed only if the candidate is a <b>US Citizen or Green Card holder with their own corporation</b>.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li>
Lead <b>architecture and technical design discussions</b> using industry best practices and modern technologies.</li><li>
Support <b>production operations</b> and resolve complex issues within the <b>Credit Risk application platform</b>.</li><li>
Design and implement <b>batch and ad-hoc data pipelines</b> using <b>Medallion Lakehouse architecture</b> on modern cloud platforms, primarily <b>Databricks</b>.</li><li>
Build and maintain <b>data ingestion pipelines</b> from upstream systems into object storage (e.g., S3, ADLS) using formats like <b>Parquet</b>, including partitioning, z-ordering, and schema evolution.</li><li>
Integrate with external <b>XVA / risk engines</b> and develop orchestration logic for long-running computations.</li><li>
Model and optimize <b>risk metrics</b> such as <b>EPE and PFE</b> for efficient querying and analytics.</li><li>
Ensure platform <b>reliability, security, observability, and auditability</b>, including IAM roles, authentication mechanisms, and encryption.</li><li>
Contribute to <b>API design</b> for internal and external consumers, including versioning, documentation, error handling, and SLAs.</li></ul><p><b><br>
Required Qualifications</b></p><p><b>
General</b></p><ul><li><b>
12&ndash;15 years of experience</b> as an application developer or data engineer.</li><li>
Strong <b>communication and collaboration skills</b>.</li><li>
Experience working in <b>Agile environments</b>.</li><li>
Ability to design and document <b>technical architectures and system designs</b>.</li><li>
Proactive and self-driven team player with strong analytical skills.</li></ul><p><b><br>
Technical Skills (Mandatory)</b></p><ul><li><b>
Python (expert level)</b> including <b>PySpark / Spark</b> for data engineering.</li><li><b>
Azure Databricks</b> with experience implementing <b>Medallion Lakehouse Architecture</b>.</li><li>
Strong <b>SQL expertise</b> including joins, unions, stored procedures, and query optimization.</li><li><b>
REST API development</b> using frameworks such as <b>Django, Flask, or FastAPI</b>.</li><li>
Experience with <b>CI/CD pipelines</b> using <b>Git, Jenkins, and Azure DevOps</b>.</li><li>
Experience building <b>data ingestion and transformation pipelines</b>.</li><li>
Cloud platform certification such as <b>AWS Certified Cloud Practitioner</b> or equivalent.</li></ul><p><b><br>
Domain Requirement</b></p><ul><li>
Strong experience in <b>Credit Risk and Counterparty Risk</b> within the <b>financial services or capital markets domain</b>.</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Advanced degree in <b>Finance, Computer Science, or related field</b>.</li><li>
Experience with <b>risk modeling and financial analytics</b>.</li><li>
Knowledge of <b>deployment, operational support, and monitoring tools</b>.</li><li>
Exposure to <b>technical architecture design and system documentation</b>.</li></ul></div>

Senior Data Architect / Application Engineer

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