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<div>
 <br/>
 <br/>
 <strong>
  TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
  <br/>
 </strong>
 <strong>
  LOCATION: New York City (midtown)
  <br/>
  HYBRID ONSITE 4 DAYS IN THE OFFICE
  <br/>
  NO C2C 3RD PARTY VENDORS!!
  <br/>
  NO RELOCATION!!
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION:
  <br/>
  EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
  <br/>
  <br/>
 </strong>
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 <br/>
 <br/>
 <br/>
 <strong>
  Specific Functions/Activities&nbsp;
 </strong>
 <strong>
  SUMMARY:
 </strong>
 <ul>
  <li>
   Design, build, and maintain scalable, reliable AWS-based data architecture
  </li>
  <li>
   <strong>
    Develop and optimize production-grade Python data pipelines
   </strong>
  </li>
  <li>
   <strong>
    Own end-to-end ELT workflows using DBT and Apache Airflow
   </strong>
  </li>
  <li>
   Design, implement, and optimize data models to support analytics and operational reporting
  </li>
  <li>
   Improve platform reliability, observability, and performance across the data stack
  </li>
  <li>
   Contribute to architectural decisions for scalability, security, and cost optimization
  </li>
  <li>
   Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
  </li>
  <li>
   Evaluate and recommend new technologies to evolve MSG's data platform
  </li>
 </ul>
 <strong>
  REQUIRED EXPERIENCE:
 </strong>
 <ul>
  <li>
   <strong>
    4-7 years experience building and maintaining production data pipelines
   </strong>
  </li>
  <li>
   <strong>
    4 years Python development experience (production-grade code)
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with DBT
   </strong>
  </li>
  <li>
   <strong>
    2 years experience with Apache Airflow (or equivalent orchestration tools)
   </strong>
  </li>
  <li>
   Strong SQL and data modeling expertise (dimensional normalized modeling)
  </li>
  <li>
   Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
  </li>
  <li>
   Experience designing scalable data architectures in cloud environments
  </li>
  <li>
   Experience troubleshooting and supporting production systems
  </li>
  <li>
   Strong communication skills and ability to work directly with business stakeholders
  </li>
  <li>
   Bachelor's degree in Computer Science, Engineering, or related field
  </li>
 </ul>
 <strong>
  Preferred
 </strong>
 <ul>
  <li>
   Infrastructure as Code (Terraform or CloudFormation)
  </li>
  <li>
   CI/CD and DevOps practices
   <br/>
  </li>
 </ul>
</div>


Senior Data Engineer with DBT and Airflow-Onsite NYC

Thomson Reuters

<p></p><div><p><b>Senior Software Engineer, Full Stack
</b></p><p>The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.
</p><p>As a Senior Software Engineer, Full Stack at Thomson Reuters - Noetica, you'll help build robust backend systems and APIs that power our search-centric web experience that&rsquo;s core to the workflow of our end users. This role is backend-leaning &mdash; you'll spend most of your time on server-side architecture, data processing, and API design, while also contributing to frontend features as needed. You will collaborate with a talented team of AI/ML PhDs, legal SMEs, and market strategists to design, build, and maintain scalable backend services. The backend service you will contribute to is the critical piece between our data product and our end users. Its system architecture decisions will influence the technical direction of our platform and decide our velocity of making impacts. Your contributions will directly impact the performance and reliability of Noetica's core infrastructure.<br>
</p><p></p><p><b>About the role,
</b></p><p>As a <b>Senior Software Engineer, Full Stack </b>, you will:
</p><ul><li><p>Design and build scalable backend services and APIs that power our document analysis platform
</p></li><li><p>Write maintainable, high-performance server-side code and data processing pipelines
</p></li><li><p>Define clear, efficient API contracts and contribute to service architecture decisions
</p></li><li><p>Design and craft compositional API primitives to expedite the productionization of our ever growing list of document insights.
</p></li><li><p>Build and maintain integrations with third-party services and internal ML systems
</p></li><li><p>Contribute to frontend features and components as needed to deliver features end to end
</p></li><li><p>Work on performance optimization for data-intensive backend operations
</p></li><li><p>Take ownership in engineering excellence and collaborate on code practices and design patterns to ensure long-term maintainability and scalability.
</p></li><li><p>Take ownership in developer experience by improving/automating CI/CD and other day to day production operations.
</p></li></ul><p></p><p><b>About You:
</b><br>
You&rsquo;re fit for the role of <b>Senior Software Engineer, Full Stack </b>if your background includes:
</p><p></p><ul><li><p>Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
</p></li><li><p>4+ years of professional full-stack development experience with a strong focus on backend systems
</p></li><li><p>Proficiency in backend technologies (Node.js, Python, or Go) and API design
</p></li><li><p>Strong understanding of RESTful APIs, database design, and data modeling
</p></li><li><p>Experience with SQL and NoSQL databases
</p></li><li><p>Familiarity with containerization and orchestration platforms (Docker, Kubernetes) and hyperscalers (AWS, GCP, etc.)
</p></li><li><p>Proficiency in TypeScript and React for frontend work
</p></li><li><p>Foundation in distributed systems, event-driven architectures, and web fundamentals
</p></li><li><p>Strong communication and collaboration skills
</p></li><li><p>Self-starting problem-solving approach biased towards action and scope minimization
</p></li></ul><p><b>Preferred Qualifications
</b></p><ul><li><p>Experience with microservices architecture and message queues
</p></li><li><p>Understanding of CI/CD fundamentals and experience working in single-tenant architectures
</p></li><li><p>Experience building data processing pipelines or working with large-scale data systems
</p></li><li><p>Familiarity with object-oriented design and functional programming principles
</p></li><li><p>Experience optimizing backend performance for data-intensive applications
</p></li><li><p>Interest in language and economics
</p></li><li><p>Thrive in a high-leverage, fast-paced environment
</p></li><li><p>Familiar with technologies like monorepo, jujutsu, mise, pprof, etc.
</p></li></ul><p>#LI-GK1
</p><p></p><p><b>What&rsquo;s in it For You?
</b></p><ul><li><p><b>Hybrid Work Model: </b>We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
</p></li><li><p><b>Flexibility &amp; Work-Life Balance: </b>Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
</p></li><li><p><b>Career Development and Growth: </b>By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</p></li><li><p><b>Industry Competitive Benefits: </b>We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</p></li><li><p><b>Culture: </b>Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</p></li><li><p><b>Social Impact: </b>Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</p></li><li><p><b>Making a Real-World Impact: </b>We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.<br>
</p></li></ul><p></p>In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&amp;D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption &amp; Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
<p></p>Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.&amp;#xa;&amp;#xa;Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $127,000 USD - $235,000 USD.&amp;#xa;&amp;#xa;Base pay is positioned within the range based on several factors including an individual&rsquo;s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.&amp;#xa;This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.&amp;#xa;
<p></p><p><b>About Us
</b></p><p></p><p>Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
</p><p></p><p>We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
</p><p></p><p>As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
</p><p></p><p>Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
</p><p></p><p>Learn more on how to protect yourself from fraudulent job postings here.
</p><p></p><p>More information about Thomson Reuters can be found on thomsonreuters.com</p></div><p></p>

Senior Software Engineer, Full Stack

Soundcloud

<div><div>SoundCloud empowers artists and fans to connect and share through music. Founded in 2007, SoundCloud is an artist-first platform empowering artists to build and grow their careers by providing them with the most progressive tools, services, and resources. With over 400+ million tracks from 40 million artists, the future of music is SoundCloud.</div>
<div>
<div><div><p>We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you'll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love.</p>
<p>
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.</p>
</div>
<p><b>Key Responsibilities:</b></p>
<ul>
<li>Develop, test, and productionize ML models</li>
<li>Make technical decisions considering cost, latency, complexity, and maintainability</li>
<li>Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions</li>
<li>Design and implement data pipelines, feature engineering, model training, and serving infrastructure</li>
<li>Write technical RFCs and communicate trade-offs to diverse stakeholders</li>
<li>Set up monitoring, A/B testing, and metrics frameworks to measure real user impact</li>
<li>Debug complex issues across data pipelines, ML models, and distributed systems</li>
<li>Champion maintainable code over clever code - write clear, testable Scala/Python that your teammates can modify</li>
<li>Share knowledge through documentation, code reviews, and mentoring</li>
<li>Contribute to technical strategy and team best practices</li>
<li>Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods</li>
</ul>
<p><b>Experience and Background:</b></p>
<ul>
<li>1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users</li>
<li>4+ years of software engineering experience - you write production code, not just notebooks</li>
<li>Strong Scala knowledge or closely related JVM languages, with strong functional programming experience. Python and Go are a Plus.
</li><li>Deep SQL skills for massive datasets (BigQuery, Spark)</li>
<li>Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)</li>
<li>Familiarity with TensorFlow, PyTorch, or similar frameworks</li>
<li>Experience with distributed data processing and ETL pipelines (Airflow, Spark)</li>
<li>Understanding of data consistency patterns, eventual consistency, and the trade-offs</li>
<li>You can debug issues across multiple systems and data sources</li>
</ul>
</div><p><i>The salary range for this role is $165,000 - $195,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!</i></p>
</div>
<h4 class="jobSectionHeader"><b>About us:</b></h4>
<ul><li>We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)</li>
<li>We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home</li>
<li>We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone's voice, perspective and experience is respected and heard</li>
<li>We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities</li>
</ul><h4 class="jobSectionHeader"><b>Benefits:</b></h4>
<ul><li>Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources</li>
<li>Robust 401k program</li>
<li>Employee Equity Plan</li>
<li>Generous professional development allowance</li>
<li>Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!</li>
<li>Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually</li>
<li>16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children</li>
<li>Various snacks, goodies, and 2 free lunches weekly when at the office</li>
</ul><h4 class="jobSectionHeader"><b>Diversity, Equity and Inclusion at SoundCloud</b></h4>
<p><i>
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what's next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.</i></p>
<p><i>
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.</i></p></div>

Senior Machine Learning Engineer, Recommendations (Experience)

Partner Engineering and Science, Inc

<div><div><p><b>ABOUT US</b></p>
<p>
At PARTNER, success starts with the right mindset: connection, compassion, and curiosity. Whether consulting with clients or collaborating with colleagues, these principles guide how we work. We deliver engineering, environmental, and energy consulting, plus design services across the Americas, Europe, and beyond. As a leader in Commercial Real Estate (CRE), we&rsquo;re 1,400+ professionals strong in 40+ offices. Our mission is simple: create the best home for talented professionals. If you value delivering exceptional experiences through problem-solving, coordination, and a mindset of care for clients and colleagues, you&rsquo;ll feel right at home. That approach has earned us recognition on ENR&rsquo;s Top 500 Design Firms, Inc. 5000&rsquo;s Fastest-Growing Companies, and Zweig&rsquo;s Best Firms to Work For. Here, your ideas matter, your impact is real, and your work helps shape the future. Check out this role and join our team of talented professionals.</p>
<p>
Learn more about Partner at www.partneresi.com.</p>
</div>
<div><p><b>SUMMARY</b></p>
<p>
Partner Engineering and Science, Inc. is seeking an experienced Senior Software Engineer to serve as a technical leader within our innovative Products Team. This role is centered on hands-on development, architectural decision-making, and mentoring developers to support the delivery of high-quality, scalable software applications. As a Senior Software Engineer, you will help modernize our systems, drive sound engineering practices, and contribute to the successful implementation of new solutions aligned with business goals. You will work closely with cross-functional partners while providing technical guidance, thoughtful code review, and day-to-day mentorship to other engineers. We use AI agentic-assisted development and are continually refining our processes to help developers be as productive and effective as possible.<br>
<br>
The ideal candidate has a strong software engineering background, expertise in Ruby on Rails (or similar frameworks), VueJS (or React), and experience working with cloud-hosted environments, especially AWS. You should also bring a passion for mentoring developers, driving technical excellence, and improving engineering processes.</p><br>
<p></p>
<p><b>
Responsibilities and Duties</b></p>
<ul><li><b>Software Development:</b> Lead the design, development, testing, and deployment of software applications. Collaborate on both front-end and back-end development tasks as necessary.</li>
</ul><ul><li><b>Team Leadership:</b> Mentor a team of software developers to ensure professional growth and technical excellence. Perform code reviews, suggest best practices, participate in architecture and design sessions, and align with design and product management.</li>
</ul><ul><li><b>System Modernization:</b> Maintain and modernize existing systems to improve scalability, reliability, and performance. Guide the technical implementation of new features and system upgrades.</li>
</ul><ul><li><b>Collaboration: </b>Work closely with cross-functional teams, including product managers, designers, and QA, to ensure alignment on project objectives. Serve as a liaison between technical teams and business stakeholders.</li>
</ul><ul><li><b>Continual Learning: </b>Establish best practices for coding, testing, and deployment within the team. Promote the use of CI/CD pipelines and automation to enhance efficiency and reduce errors. Use AI-assisted development to improve workflows, from feature development to debugging and aligning on technical requirements.</li>
</ul><ul><li><b>Technical Oversight: </b>Provide guidance on architectural decisions, engineering patterns, and tool selection.</li></ul><br>
<p></p>
<p><b>
Required Qualifications</b></p>
<ul>
<li>Experience<b>:</b> 5+ years of software development experience with increasing levels of responsibility.</li>
</ul><ul><li>Education<b>:</b> Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent experience.</li>
</ul><ul><li>Technical Skills<b>:</b></li>
</ul><ul><li>Expertise in software development; experience with Ruby on Rails is a strong plus.</li>
</ul><ul><li>Experience with cloud-hosted environments, particularly AWS.</li>
</ul><ul><li>Proficiency with source control systems (GitHub).</li>
</ul><ul><li>Knowledge of CI/CD pipelines (e.g., Github Actions, Travis CI).</li>
</ul><ul><li>Familiarity with application monitoring tools like New Relic.</li>
</ul><ul><li>Exposure to JavaScript frameworks, especially Vue.js, is a plus.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with cloud application deployments using containerization (e.g. Docker, Kubernetes), DevOps, particularly in AWS.</li>
<li>Knowledge of Agile development methodologies and practices.</li>
<li>Strong understanding of testing frameworks and debugging tools.</li>
</ul>
<p><b> Skills</b></p>
<ul>
<li>Strong leadership and mentoring abilities.</li>
</ul><ul><li>Excellent problem-solving and analytical skills.</li>
</ul><ul><li>Effective communication and collaboration skills, with the ability to work cross-functionally.</li>
</ul><ul><li>A passion for learning, continuous improvement, and building high-quality software.</li></ul><br>
<p></p>
<div>
<p><b>Compensation:
 </b></p><p>Salary range: $140,000 - $150,000. This is what we reasonably expect to pay for the role</p>
<p>
The pay scale for this role considers a wide range of factors when making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs. Please note, the disclosed pay scale estimate has not been adjusted for the applicable geographic location where the position may be filled.</p>
<p>
 You may also be eligible to participate in a discretionary incentive bonus program which is dependent on various factors, including, but not limited to individual and organizational performance.</p><br>
<p></p>
<p><b>
Benefits:
</b></p><p>Competitive benefits package including health insurance, dental insurance, vision insurance, vacation and sick time, and a 401(k) plan with a company match.</p>
<p><b>
Equal Employment Opportunity</b></p>
<p>
It is Partner Engineering and Science, Inc&rsquo;s (The Company) policy is to provide equal employment opportunity for all applicants and employees. The company maintains a work environment that is free of harassment, discrimination, or retaliation based on an individual&rsquo;s race (including, but not limited to, hair texture and protective hairstyles such as braids, locks, and twists), color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender (including gender identity and gender expression), age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), reproductive health decision making, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws.</p><br>
<p></p>
<p>
We will consider qualified applicants who have criminal histories in a manner consistent with the law.</p>
<p><b>
California Consumer Privacy Act</b></p>
<p>
We collect personal information from you in connection with your application for employment with Partner Engineering and Science, Inc. For details on what personal information we collect and the purposes for which we collect it, please visit:</p>
<p>
https://www.partneresi.com/careers/california-consumer-privacy-act/</p></div></div></div><p></p>

Senior Full-Stack Software Engineer

Spark

<div>
 <strong>
  About Spark Advisors
  <br/>
  <br/>
 </strong>
 We're building healthcare tech for a system that desperately needs it.
 <br/>
 <br/>
 Each year, millions of Americans deal with confusing changes to their Medicare plans that impact their prescriptions, access to care, and pocketbooks. These aren't just inconveniences &ndash; they are potentially life-altering changes that leave seniors medically and financially vulnerable.
 <br/>
 <br/>
 Independent Medicare advisors play a crucial role in guiding seniors through this complexity and helping them find the right coverage for their needs. But their ability to be effective healthcare advocates has long been hamstrung by broken tools and outdated systems.
 <br/>
 <br/>
 Spark is fixing that. We're the fastest-growing Medicare platform in the country, combining AI, an industry-leading CRM, and client services to transform how 10,000+ brokers acquire, enroll, and support clients in their local communities.
 <br/>
 <br/>
 Join a talent-dense team from Square, Ramp, Yext, Oscar, and Cedar &mdash; backed by Primary Ventures and Viewpoint Ventures &mdash; that is serious about building technology to expand access to quality healthcare. We offer remote work, sabbaticals, company retreats, and other generous benefits that earned us recognition as one of Inc. Magazine's Best Workplaces of 2025
 <br/>
 <br/>
 Healthcare is overdue for innovation. Let's redefine what its future looks like &mdash; together.
 <br/>
 <br/>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 Spark is seeking a
 <strong>
  Senior Analytics Engineer
 </strong>
 to join our Data team. Historically, the Medicare distribution industry has lacked transparency&mdash;but Spark is on a mission to change that. As a Senior Analytics Engineer, you will play a critical role in shaping Spark's core data models, pipelines, and analytics foundations that power both our internal decision-making and customer-facing products.
 <br/>
 <br/>
 In this role, you'll take ownership of high-impact datasets and lead the design of scalable, reliable data pipelines. You'll work closely with Product, Engineering, Carrier Relations, and Operations to translate complex business needs into durable data solutions. Beyond execution, you'll help set standards, mentor teammates, and influence how analytics engineering is practiced at Spark.
 <br/>
 <br/>
 What You'll Do
 <br/>
 <br/>
 <ul>
  <li>
   Lead the design, optimization, and maintenance of scalable ELT pipelines using AWS tooling, Snowflake and dbt.
  </li>
  <li>
   Own Spark's most critical data models, ensuring they are well-documented, tested, performant, and trusted across the organization.
  </li>
  <li>
   Drive standardization and automation across data workflows to reduce manual effort, improve reliability, and enable faster iteration.
  </li>
  <li>
   Partner deeply with cross-functional stakeholders to understand ambiguous business problems and translate them into clear, scalable data solutions.
  </li>
  <li>
   Set best practices for data quality, testing, and observability, continuously raising the bar for accuracy and consistency.
  </li>
  <li>
   Lead medium- to large-scale data initiatives end-to-end, including technical design, execution, stakeholder communication, and delivery.
  </li>
  <li>
   Mentor and support Analytics Engineers and other Data teammates, providing technical guidance, code review, and coaching.
  </li>
  <li>
   Contribute to data team strategy, influencing tooling decisions, modeling patterns, and long-term architecture.
   <br/>
   <br/>
  </li>
 </ul>
 What We're Looking For
 <br/>
 <br/>
 <ul>
  <li>
   5+ years of experience in analytics engineering or a closely related role.
  </li>
  <li>
   Advanced SQL expertise, with a strong track record of building and maintaining production-grade data models.
  </li>
  <li>
   Deep experience with dbt, including testing, documentation, and modular modeling patterns.
  </li>
  <li>
   Proven ability to own ambiguous problems and turn them into durable, well-designed data solutions.
  </li>
  <li>
   Strong instincts for data quality, correctness, and edge-case handling, especially in messy or incomplete datasets.
  </li>
  <li>
   Experience automating and improving data workflows using modern cloud and analytics tooling.
  </li>
  <li>
   Comfortable giving and receiving feedback, and helping teams converge on shared standards and best practices.
  </li>
  <li>
   Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 Nice To Haves
 <br/>
 <br/>
 <ul>
  <li>
   Python experience for orchestration, data tooling, or process automation.
  </li>
  <li>
   Experience managing or influencing cloud infrastructure.
  </li>
  <li>
   Background in analytics or BI, with a strong intuition for how data is ultimately consumed.
  </li>
  <li>
   Experience working with performance tuning and cost-aware query design.
  </li>
  <li>
   Familiarity with modern analytics tools such as Looker, Hex, Tableau, or Power BI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <em>
  Our salary ranges are based on paying competitively for our company's size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Spark. In accordance with New York City, Colorado, California, and other applicable laws, Spark is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. A reasonable estimate of the current salary range is
 </em>
 <em>
  listed below
 </em>
 <em>
  . We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.
  <br/>
  <br/>
 </em>
 Base Salary
 <br/>
 <br/>
 $170,000&mdash;$190,000 USD
 <br/>
 <br/>
 <strong>
  Why you should join our team
  <br/>
  <br/>
 </strong>
 By joining Spark, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup where you will have a profound impact on the brokers and beneficiaries we serve. And you'll learn, grow, be challenged, and have fun with your team while doing it.
 <br/>
 <br/>
 We strive to help you and your family thrive. We're committed to supporting your happiness, healthiness, and overall well-being by providing a comprehensive benefits program. In addition to your base salary, we also offer:
 <br/>
 <br/>
 <ul>
  <li>
   Equity compensation
  </li>
  <li>
   Health care, including dental and vision through our PEO Sequoia
  </li>
  <li>
   Flexible work location; co-working available
  </li>
  <li>
   401k
  </li>
  <li>
   Paid Time Off
  </li>
  <li>
   Monthly Remote Work Stipend (help cover costs of home-office needs)
  </li>
  <li>
   Paid Parental Leave
  </li>
  <li>
   Up to 14 weeks for birthing parents
  </li>
  <li>
   Up to 8 weeks for non-birth parents
  </li>
  <li>
   11 paid holidays
  </li>
  <li>
   2 week sabbatical at 5 years of employment
  </li>
  <li>
   Wellbeing Perks through SpringHealth, OneMedical, PerkSpot, and SoFi
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compliance
  <br/>
  <br/>
 </strong>
 Spark is a proud participant in E-Verify. As part of our commitment to compliance, we use the E-Verify program to confirm the employment eligibility of all employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.
 <br/>
 <br/>
 Furthermore, for security and compliance requirements, we're unable to accommodate international remote work. While we fully support travel and time off, all work must be conducted from an approved location within the U.S.
 <br/>
 <br/>
 At Spark, we are committed to hiring the best team to serve our clients regardless of their background. We need diverse perspectives to reflect the diversity of our problems and the population we serve. We look to hire people from a variety of backgrounds, including, but not limited to, race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.
</div>


Senior Analytics Engineer

Realign

<div>New York, New York 10001 Posted April 2nd, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title</b> : Software AI Engineer &ndash; Agentic AI</div><div><b>
Location</b> : New York, NY (ONSITE)<br>
<b>FTE ONLY</b></div><div></div><div><b><br>
Job Description</b></div><ul><li> 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure</li><li> Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.</li><li> Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.</li><li> Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.</li><li> Fluency with AI-assisted and agentic development workflows.</li><li> Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.</li><li> Ability to influence technical direction and align teams without formal authority.</li><li> Experience in workflow engines, async processing, queues, and streaming systems.</li><li> Languages: Python, Go, TypeScript</li><li> APIs and services: REST, gRPC</li><li> Cloud and infrastructure: AWS and/or GCP, Kubernetes</li><li> Distributed systems: event-driven architectures, including Kafka</li><li> Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc</li><li> Integration of commercial and open-source LLMs into agentic workflows</li><li> Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives</li><li> Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow</li><li> Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)</li><li> Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.</li><li> Design, build, and operate production-grade agentic AI systems used across multiple products.</li><li> Own and evolve shared agentic AI capabilities, including:</li><li> Agent frameworks and orchestration layers</li><li> Planning, tool use, and memory strategies</li><li> Retrieval and grounding (RAG) pipelines</li><li> LLM infrastructure, inference, and model gateways</li><li> Evaluation, observability, and safety tooling for autonomous systems</li><li> Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.</li><li> Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to pro duction.</li><li> Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.</li><li> Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.</li></ul><br>
<p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Software AI Engineer – Agentic AI-2

Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Bloomberg Finance &amp; CFO
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10048383
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div><div><b>Intro</b></div>
<div>
The Bloomberg Finance Development team within the Bloomberg Engineering Department, designs, deploys, and enhances custom applications which support Bloomberg&rsquo;s Finance and Chief Financial Officer community. We create and support standalone, web-based and Microsoft Office Add-In applications, infrastructure automation, and external systems integrations. We also develop services for Python Stella automations and Bloomberg Terminal applications.</div><div><b><br>
The Role</b></div>
<div>
As a Software Engineer in the Systems Engineering Team you will have the opportunity to work in close collaboration with business users to create and enhance custom applications which eliminate inefficiencies or provide brilliant solutions to seemingly intractable problems. The Bloomberg Finance Software Development Team builds and maintains web/desktop applications, Office Add-Ins, and back-end system automation tools that underpin financial processes critical to the successful ongoing operation of the entirety of Bloomberg. Because of the scope of reach of our applications, we interact with numerous existing systems and their supporting teams to utilize Bloomberg infrastructure and tools resulting in bespoke solutions to solve complex business problems.</div><div><br>
You will have the opportunity to collaborate with experienced and knowledgeable software engineers as we build solutions which free up the CFO users to maximize their impact on continuing to maintain Bloomberg&rsquo;s leadership position. At the same time, you will be exposed to a wide array of technologies and systems that you can leverage to increase your contribution to the overall success of Bloomberg.</div><div><b><br>
You will need to have:</b></div>
<ul><li>4+ years experience programming and systems design utilizing object-oriented languages (e.g. C#, JAVA)</li></ul>
<ul><li>A degree in Computer Science, Engineering, or a similar field of study or equivalent work experience</li></ul>
<ul><li>Experience in all phases of the software development lifecycle</li></ul>
<ul><li>Experience creating and working with web and Windows services</li></ul>
<ul><li>Experience with relational databases design (e.g. SQL, PostgreSQL)</li></ul>
<ul><li>Understanding of fundamental networking concepts (e.g. firewall, proxy traversal)</li></ul><div><b><br>
We would love to see:</b></div>
<ul><li>Experience in full web-stack development (i.e. JavaScript, CSS, HTML)</li></ul>
<ul><li>Significant experience with SQL syntax and stored procedure development</li></ul>
<ul><li>Experience programming in C# or Python</li></ul>
<ul><li>Experience of working within an IT organization</li></ul>
<ul><li>Comfortable working closely with users to understand and solve business problems</li></ul></div><br>
<div></div>
</div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
<div><br>
</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
<br>
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Bloomberg Finance & CFO

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