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Coinbase

<div><div>Ready to be pushed beyond what you think you're capable of?

At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform &mdash; and with it, the future global financial system.

To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.

Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.</div>
The Data Platform team builds and operates systems to centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you will contribute to the full spectrum of our systems, from managing foundational processing and data storage, to building and maintaining scalable pipelines, to developing frameworks, tools, and internal applications to make that data easily and efficiently available to other teams and systems.

What you'll be doing (ie. job duties):
<ul>
<li>Design, build, and operate our foundational data-heavy services: storage (cloud data warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), streaming services (Kafka), query federation and caching, time-series db, graph db, and real-time event aggregation stores.</li>
<li>Build and maintain data integration &amp; process SDKs for use by internal services and product teams throughout Coinbase.</li>
<li>Design and build self-service applications to empower our users to manage and troubleshoot their own data pipelines running on our platforms.</li>
<li>Design and build services for end-to-end data security and data observability: managing access controls across multiple storage and access layers, tracking data quality, cataloging datasets and their lineage, usage auditing.</li>
<li>Convert functional requests from data analysts, ML, and security &amp; compliance into reusable and scalable patterns; and assemble data microservices into data platforms for critical business verticals and user cohorts.</li>
</ul>
What we look for in you (ie. job requirements):
<ul>
<li>You have at least 5+ years of experience in software engineering.</li>
<li>You have Strong Python, Go, or Java backend development skills.</li>
<li>You have general experience working with data systems or data pipelines.</li>
<li>You are familiar with design patterns such as scale-out, caching, key/value, and columnar.</li>
<li>You leverage SQL, Python, Airflow, and BI expertise to analyze data for operational insights.</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
Nice to Have:
<ul>
<li>Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services</li>
</ul>
Job #: P76450
<div></div><div>
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
<h3 class="jobSectionHeader">
Commitment to Equal Opportunity</h3>

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
<h3 class="jobSectionHeader">
Global Data Privacy Notice for Job Candidates and Applicants</h3>

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
<h3 class="jobSectionHeader">AI Disclosure</h3>

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com</div></div>

Senior Software Engineer - Data Platform

adonis

<div>What You&rsquo;ll Do<ul><li>
Lead and Execute: Spearhead the Integrations Team in designing, developing, and scaling integrations with Electronic Health Records (EHRs) and other healthcare systems, fostering a strategic, long-term technical vision while ensuring robust execution capabilities.</li><li>
Technical Direction: Establish and guide the technical direction for integrations, including architectural decision-making, to guarantee scalable, efficient, and resilient solutions.</li><li>
Data Infrastructure: Architect and maintain reliable, scalable, and efficient data pipelines, ETLs, and ingestion systems. Develop and sustain a dynamic data infrastructure leveraging technologies such as Snowflake, SQL Mesh, Temporal (or similar orchestration frameworks), Python, AWS, and relational databases.</li><li>
Data Modeling: Implement sophisticated data modeling solutions, contributing to the Medallion architecture to ensure high-quality, accessible data insights across various systems.</li><li>
Stakeholder Management: Collaborate extensively with both internal and external stakeholders to gather requirements, communicate progress, and deliver exceptional integration solutions that meet complex healthcare needs.</li><li>
Project Management: Drive effective project management, emphasizing meaningful prioritization of tasks, balancing technical debt, new feature development, and stakeholder requirements.</li><li>
Team Growth: Lead initiatives to expand the team's capacity, including hiring and onboarding new talent. Mentor and develop team members, ensuring continuous technical excellence and fostering an environment of learning and growth.</li></ul>
Who You Are:<ul><li>
You possess a minimum of 5 years of experience in software engineering, with a specialization in data engineering, data modeling, and building systems integrations.</li><li>
You have extensive experience in leading engineering teams, with a primary focus on technical leadership and achieving successful project outcomes.</li><li>
You have in-depth knowledge of healthcare systems, particularly in working with EHRs and healthcare data management.</li><li>
You bring hands-on expertise with our technology stack: Snowflake, SQL Mesh, Temporal (or similar orchestration frameworks), Medallion architecture, Python, AWS, and relational databases.</li><li>
You have a proven track record in building and optimizing ETLs, data ingestion pipelines, and data transformation processes.</li><li>
You excel in managing relationships with both internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles.</li><li>
You demonstrate strong project management capabilities, with a talent for prioritizing and managing competing demands effectively.</li><li>
You thrive in a startup environment, exhibiting a capability for scaling teams and growing engineering processes in dynamic settings.</li><li>
You articulate complex technical ideas clearly to both technical and non-technical audiences.</li><li>
You excel in fast-paced environments, employing a pragmatic and adaptive approach to problem-solving. 
The base salary range for this position is $190,000 to $210,000. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages.</li></ul><h1 class="jobSectionHeader">
About Adonis</h1>
Adonis is the leading AI orchestration platform for healthcare revenue cycle management (RCM), purpose-built for healthcare organizations seeking to transform their revenue operations. Traditional RCM processes often struggle with inefficiencies, costing providers up to 15% or more of their potential revenue. Through advanced automation, data science, and AI Agents, Adonis helps revenue teams detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes.
Adonis is headquartered in New York City and has raised over $95M in funding, including a recent $40M Series C round led by Quadrille Capital with continued support from existing investors such as General Catalyst and Bling Capital. This funding supports our mission to restore sanity to RCM and equip provider groups and health systems with AI-driven revenue cycle operations at scale.<h1 class="jobSectionHeader">
Compensation Philosophy</h1>
Actual base pay will depend on job-related knowledge, skills, and experience. Adonis determines compensation based on each candidate&rsquo;s experience and qualifications relative to peers, and most new hires fall near the middle of the range. In addition to base salary, you&rsquo;ll receive meaningful equity and great benefits.<h1 class="jobSectionHeader">
Perks at Adonis</h1><ul><li>
Competitive equity packages</li><li>
Employer-paid medical insurance</li><li>
Employer-paid dental insurance</li><li>
Employer-paid vision insurance</li><li>
Employer-funded HSA</li><li>
Parental leave</li><li>
Commuter benefits</li><li>
Office lunches every day</li><li>
Office snacks</li><li>
Generous PTO</li><li>
Located in 3 World Trade Center with easy access to all trains and the PATH, and amazing views of the city</li></ul>
Adonis is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
At Adonis, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals.</div>

Shields Group Search

<div>
 
 
 Data Engineer
 
 
 
 
 Hybrid in NYC
 
 
 
 
 Full-Time
 
 
 
 
 $175,000-$225,000 base + upside depending on experience
 
 
 
 
 
 
 
 About the Company
 
 
 
 Shields Group Search is partnering with an innovative private banking and wealth infrastructure company building modern tools for modern clients. Their platform is designed to help private investors access liquidity more easily while driving transparency into historically opaque markets, including fine art and commercial real estate.
 
 
 
 
 
 They are hiring a
 
 Data Engineer
 
 to help build a world-class data infrastructure that supports the modernization of private banking for independent wealth managers and family offices. This person will be responsible for designing, building, and maintaining robust data pipelines, ETL processes, and data warehousing solutions that enable analytics and drive insights across the platform.
 
 
 
 
 
 You will work closely with engineering and product teams to architect scalable, reliable data systems. The stack includes
 
 Python, SQL, cloud data warehousing platforms, and modern data engineering tooling
 
 .
 
 
 
 
 
 
 About the Role
 
 
 
 This position reports directly to the
 
 Head of Engineering
 
 . The ideal candidate will have meaningful educational and/or professional experience designing and implementing scalable data systems, building ETL pipelines, and writing clean, maintainable, well-tested code.
 
 
 
 
 
 This team is looking for someone who is genuinely excited to spend most of their day coding and building scalable systems, while also contributing architectural input. They would strongly prefer someone in
 
 NYC
 
 , and
 
 2-3 days per week in-office
 
 should be expected. They also want someone who is comfortable building with and using
 
 agentic systems
 
 . This is not the right fit for someone optimizing primarily for work/life balance.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Participate in the full software development life cycle from planning to deployment
 </li>
 <li>
 Design and build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
 </li>
 <li>
 Collaborate with the team to design, develop, unit test, and support new features
 </li>
 <li>
 Strive for high quality and rapid output through agile software development best practices
 </li>
 <li>
 Architect data warehouses and data lakes, optimizing for query performance and cost efficiency
 </li>
 <li>
 Perform code reviews and provide constructive feedback to peers
 </li>
 <li>
 Maintain and improve the tech stack
 </li>
 <li>
 Develop flexible and well-structured data pipelines and data warehouse schemas
 </li>
 <li>
 Implement effective security protocols, data protection measures, and storage solutions
 </li>
 <li>
 Troubleshoot, debug, and upgrade software
 </li>
 <li>
 Ensure software meets all requirements of quality, security, and configurability
 </li>
 <li>
 Contribute to documentation, tests, and automation pipelines
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
 </li>
 <li>
 Minimum of 3 years of experience in data engineering, ETL development, or analytics engineering, ideally within fintech or financial services
 </li>
 <li>
 Advanced proficiency in Python and SQL for data pipeline development and analysis
 </li>
 <li>
 Familiarity with CI/CD tools
 </li>
 <li>
 Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or similar, as well as modern ETL tools
 </li>
 <li>
 Strong knowledge of the software development lifecycle
 </li>
 <li>
 Experience with testing and debugging
 </li>
 <li>
 Proficient understanding of code versioning tools such as Git
 </li>
 <li>
 Excellent problem-solving skills and attention to detail
 </li>
 <li>
 Excellent communication and teamwork skills
 </li>
 <li>
 Ability to work independently and take initiative
 </li>
 <li>
 Willingness and ability to build with agentic systems in a practical, hands-on way
 </li>
 </ul>
 
 
 
 
 
 Why This Role
 
 
 
 This is an opportunity to help architect a state-of-the-art platform and partner with an experienced leadership team during a period of rapid development. The team has additional flexibility on compensation for stronger candidates, with total base salary landing closer to
 
 $200,000-$225,000
 
 for candidates with more experience.
 
</div>

Data Engineer

Apple

At Apple, great ideas quickly become phenomenal products, services, and customer experiences. Apple Pay has brought the Apple Wallet to millions of customers worldwide, enabling them to carry digital credentials such as credit and debit cards, transit passes, hotel and car keys, theme park tickets - and now, mobile driver&rsquo;s licences - all in their Apple Wallet. Building and scaling these features requires not just world-class engineering, but a deep understanding of how institutions around the world operate, implement standards, and protect user data and privacy. 
 
You'll have the opportunity to tackle the intricate challenge of building resilient and reliable distributed software systems at Apple's scale as a Developer Platform Engineer at the intersection between data platform and operational data components and microservices architecture. You will be given flexibility to explore creative solutions, the support of a talented and driven team, and access to diverse technologies. You will have the autonomy, and responsibility, to take full ownership of your solutions. 
 
Description 
 
The role is a hands-on contributor to our internal developer platform. You will engineer solutions contributing to both tech stacks and bring the appropriate degree of convergence. You will navigate the layers between application, platform, cloud, and infrastructure engineering. This will be coding, architecture and operational work in a DevOps team. 
 
You'll join a nimble team involved in every stage of the platform-as-a-product and will design, build, test, deliver and maintain exceptional software that truly makes a difference. In this fast-paced environment, you'll be hands-on in all phases, and will actively shape the architecture and design of our platforms and offerings through the lived experience of operating, monitoring, and providing on-call support for the software you build. 
 
One key area of responsibility would be dev, prod operations, automation, and cross-functional efforts to facilitate adoption of the platform capabilities by the wider organisation and their use in production. Our solutions are shaped by deep understanding of the problems which will inform what we build in the platform. 
 
This role values deep technical expertise and its application in a simple, opinionated internal developer platform. The ultimate goal of our platform is two-fold: modernise the technical stack and the engineering culture in our organisation. The success metric is platform adoption and its continuous use inside Wallet, Payment Commerce, to continue shipping amazing Apple products. 
 
The use cases that rely on our work range from customer-facing to internal back office, near-real-time and batch, event-driven microservices and OLTP and OLAP workloads. The products we look after form an internal developer platform that favours simplicity and common solutions with a high degree of automation and composability. 
 
This role may require occasional international travel.&quot;,&quot;responsibilities&quot;:&quot;Work with our platform users to enable adoption and work tactically at the right level between all aspects of the platform or the services we leverage. We are here to enable others. 
 
Contribute to technical alignment between all functions offered by the platform. You will work a lot in the integration and complementarity of the services, aiming to converge the solutions space towards a simple, reusable and opinionated set. 
 
Have a particular focus on data services convergence: transactional, at rest and in transit. This will extend to the integration with analytical systems and cross-functional support (for example data compliance, data contracts) 
 
Be a product advocate for the platform itself: notice the opportunities between different solutions, assess whether a platform solution would bring value and work on the delivery of this. Our objective is to pursue a platform-as-a-product delivery. 
 
Provide hands-on, evidence-based and example-based decisions. Sometimes this means getting familiar with technologies you did not know before 
 
Steering high impact solution from initial inception to org-wide deployment 
 
Drive the platform itself and the culture to a model of modern engineering practices. 
 
Guide foundational and architectural design and delivery- including education, documentation and collaborative delivery. Our work must be approachable. 
 
As a key member of the team, you'll participate in technical discussions, write specifications, review code, and produce documentation. Success in this role therefore requires strong self-motivation, crisp and clear communication, a highly collaborative approach, and the ability to work effectively across teams and disciplines. 
 
Preferred Qualifications 
 
Practical experience with internal developer platform and commodity data engineering products with bonus points for working in the overlap between services and data. 
 
Demonstrable experience of working on a data mesh or an event mesh or similar architectures. 
 
Experience converging evolving diverse and varied architectures into unified opinionated solutions. 
 
Been an advocate for continuous delivery, DevOps and similar best practices and familiarity with CI/CD pipelines and infrastructure as code. 
 
Familiarity with our technical stack and its major components: AWS, Java, Kotlin, HTTP/REST, gRPC, container orchestration with Kubernetes and the management plane with Controller and Operators, Data Science tools like Iceberg, Spark, Flink, SQL/NoSQL databases (e.g. Aurora, DynamoDB, CockroachDB, Oracle). 
 
Time spent architecting, building, supporting or otherwise working on cloud-native (e.g. AWS) applications with resilience as a core feature. 
 
Experience with observability tools (e.g. Prometheus, Grafana, OpenTelemetry, Datadog). 
 
An appreciation for, and understanding of security, privacy, and cryptography. 
 
Minimum Qualifications 
 
A commitment to continuous learning and improvement, and curiosity for new technologies, techniques and patterns in pursuit of engineering excellence. 
 
A solid understanding of distributed systems fundamentals, particularly about the the trade-offs on data. 
 
An ability to communicate thoughtfully and clearly, both verbally and in writing, to discuss complex technical concepts with diverse audiences, including global teams and external partners. 
 
A track record of building and sustaining healthy long-term relationships within your team, and beyond its boundaries. 
 
The tenacity and perseverance to drive a complex project all the way from conception to production. 
 
4+ years of relevant industry experience as a software engineer and product-oriented architecture. 
 
No formal degree is required. What matters most is your mindset, your initiative, and your ability to apply your skills to real-world applications. 
 
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 . 
 
Pay &amp; Benefits 
 
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 $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Platform Software Engineer, Operational Data

Penguin Random House

<div><div><div><div><div>We are seeking a Senior API &amp; Data Engineer to own and evolve the critical data flows that power our Metadata API ecosystem. This role sits at the intersection of database architecture, ETL orchestration, and API design, with a focus on modernizing legacy systems while building the next generation of scalable, reliable services. 
In this role, you will work across multiple databases (Oracle, PostgreSQL, and MySQL), maintain and enhance a legacy Java-based API, and help shape the evolution of our next-generation Python-based Metadata API platform. 
The Metadata API platform is foundational to our publishing ecosystem. This role directly impacts how authoritative data is modeled, propagated, and exposed to external customers as well as our own in-house consumers. The engineer in this position will influence both the stability of current systems and the architectural direction of future platforms. 
This is a senior-level position requiring strong technical judgment, architectural thinking, and the ability to assess downstream data impacts across systems. The role reports to the Senior Director of the API, Middle Tier &amp; Mobile team within the Publishing Applications Group. 
Specific responsibilities include:
<ul><li>Own and evolve data flows powering the Metadata API ecosystem, ensuring accuracy, scalability, and reliability across systems
</li><li>Design and optimize relational database schemas, queries, and stored procedures across Oracle, PostgreSQL, and MySQL
</li><li>Maintain and enhance legacy Java-based APIs while contributing to the development of modern Python-based API services
</li><li>Orchestrate ETL processes and manage the safe propagation of schema and data changes across upstream and downstream systems
</li>Troubleshoot data and API issues while partnering cross-functionally on platform architecture, API design, and system improvements 
<li>
</li></ul>Please apply if you meet the following qualifications:
<ul><li>5+ years of backend or data engineering experience with strong SQL expertise across relational databases (Oracle, PostgreSQL, MySQL)
</li><li>Experience designing &ldquo;source of truth&rdquo; data models and managing ETL pipelines or data propagation workflows
</li><li>Proficiency in Java and Python for API development (JAX-RS and FastAPI a plus) and a solid understanding of RESTful design principles
</li><li>Experience working in cloud-based, containerized environments (e.g., AWS, Kubernetes) with familiarity in CI/CD and version control
</li>Strong problem-solving, communication, and collaboration skills, with the ability to assess downstream data impacts across systems 
<li>
</li></ul>The Penguin Random House national headquarters is located in New York City. The position is open to remote candidates based in the United States. 
The salary range for this position is $120,000 - $130,000. All positions are currently eligible for annual profit award or bonus, subject to Company results. 
Applications for this role will be accepted through April 21 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page. 
</div></div></div></div><div><div><div><div>Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. 
 
Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&amp;D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance &amp; generous paid time off. 
 
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset &amp; Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.
 
 
Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. 
Company: Penguin Random House LLC | Job ID: 287985</div></div></div></div></div>

Senior Engineer, API and Data (Open to Remote)

Canoe Intelligence

<div>COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Data Engineer
LOCATION: New York City (hybrid) or Fully Remote in the United States
SALARY: $110,000 - $140,000 (based on NYC, will be adjusted for geo)
The Role:
We are seeking a Data Engineer to join our Data Engineering team. This team is building the data foundations of Canoe&rsquo;s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years. You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering team&rsquo;s future direction.
What You&rsquo;ll Do:<ul><li>
Contribute to the design and development of our Data platform.</li><li>
Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems.</li><li>
Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings.</li><li>
Participate in cross-functional teams as Data Engineering&rsquo;s representative.</li><li>
Build observable systems and be an organization leader in operational excellence.</li></ul>
What We&rsquo;re Looking For:<ul><li>
Minimum 5 years of experience in software development, with at least two in a Data Engineering role</li><li>
Experience with SQL Databases and relational data modeling.</li><li>
Experience working with data at scale.</li><li>
A strong sense of ownership and accountability.</li><li>
Curiosity and a willingness to learn new technologies.</li><li>
Great communication skills.</li><li>
A history of working well with technical and non-technical stakeholders.</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field (or equivalent experience).</li><li>
Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool.</li></ul>
What You&rsquo;ll Get:<ul><li>
Medical, dental, vision benefits</li><li>
Flexible PTO</li><li>
401(k)</li><li>
Flexible work from home policy</li><li>
Home office stipend</li><li>
Employee Assistance Program</li><li>
Gym/Wifi reimbursement</li><li>
Education assistance</li><li>
Parental Leave</li></ul>
Our Values:<ul><li>
Client First &mdash;&gt; Listen, and deliver client-centric solutions</li><li>
Be An Owner &mdash;&gt; Take initiative, improve situations, drive positive outcomes</li><li>
Excellence &mdash;&gt; Always set the highest standard for yourself and others</li><li>
Win Together &mdash;&gt; 1 + 1 = 3</li></ul>
Who We Are:
Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe&rsquo;s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe&rsquo;s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</div>

<div>Senior Vice President, Full-Stack Engineer
At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We&rsquo;re seeking a future team member for the role of Senior Vice President, Full-Stack Engineer to join our Equities Engineering team in Execution Services Platform. This role is in New York, NY.
In this role, you&rsquo;ll make an impact in the following ways:<ul><li>
Architecture &amp; Design Leadership: Play a lead role in the design, architecture and implementation of trading, sales, and operations workflows, ensuring alignment with business goals and engineering best practices.</li><li>
Trade-Flow Platform Development: Design and build flexible, scalable trade-flow software capable of handling diverse client-side and OMS-side integration patterns and high-throughput scenarios.</li><li>
Cross-functional Collaboration: Partner closely with Product, Trading, Operations, and Engineering teams to translate complex business requirements into robust, scalable technical solutions.</li><li>
Technology Innovation: Work alongside a cross-functional engineering team to evaluate and adopt emerging technologies, contributing to a modern, high-performance technology stack.</li><li>
AI-Driven Automation: Champion an AI-first mindset by driving automation initiatives, intelligent code refactoring, and the adoption of AI tooling to improve developer productivity and system efficiency.</li><li>
Engineering Excellence: Deliver well-designed, testable, secure, and performant code through hands-on programming, rigorous code reviews, and adherence to engineering standards.</li><li>
Production Support: Provide second-level production support, troubleshoot complex system issues, and contribute to incident resolution and post-mortem processes.</li><li>
Mentorship &amp; Technical Leadership: Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning, technical growth, and engineering craftsmanship.</li></ul>
To be successful in this role, we&rsquo;re seeking the following:<ul><li>
Bachelor&rsquo;s degree in computer science or a related discipline, or equivalent work experience required, advanced degree preferred.</li><li>
Industry Experience: 10+ years of experience designing, building, and delivering real-time, scalable, and resilient software applications within Financial Services or similarly complex, high-throughput domains.</li><li>
Core Backend Proficiency: Deep expertise in Java and the Spring ecosystem &mdash; including Spring Framework, Spring Boot, Spring Security, Spring Data, and ORM frameworks &mdash; with a strong focus on building production-grade, enterprise-scale services.</li><li>
Frontend Development: Proficiency in modern front-end technologies including Angular, TypeScript/JavaScript, HTML/CSS, with working knowledge of jQuery and component-based UI architecture.</li><li>
Data &amp; Persistence: Strong command of relational and analytical database technologies, e.g., Oracle / Microsoft SQL Server, with experience in data modeling, query optimization, and large-scale data management.</li><li>
Messaging &amp; Middleware: Hands-on experience with messaging and middleware technologies such as Apache Kafka, IBM MQ, the FIX protocol, with an understanding of event-driven and asynchronous system design.</li><li>
Agile Delivery: Solid understanding of Scrum and Agile methodologies, with a proven ability to deliver in fast-paced, rapidly evolving environments with shifting priorities.</li><li>
Communication &amp; Leadership: Excellent written and verbal communication skills; able to clearly articulate technical concepts to both technical and non-technical stakeholders. Strong organizational skills to coordinate, influence, and drive cross-team initiatives.</li><li>
Problem Solving &amp; Innovation: Demonstrated ability to analyze complex, ambiguous problems and devise pragmatic, innovative solutions &mdash; balancing technical rigor with delivery speed.</li><li>
AI-Augmented Development: Familiarity with one or more AI coding and productivity tools (e.g., GitHub Copilot, Cursor, Windsurf, Claude Code), with a willingness to leverage AI-assisted workflows to accelerate development and improve code quality.</li><li>
(Note: We value T-shaped engineers &mdash; deep expertise in one discipline (backend or frontend) with broad familiarity across the stack is preferred over equal but shallow coverage of both)</li></ul> 
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn
 Here&rsquo;s a few of our recent awards:<ul><li>
America&rsquo;s Most Innovative Companies, Fortune, 2025</li><li>
World&rsquo;s Most Admired Companies, Fortune 2025</li><li>
&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025</li></ul> 
Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. 
 
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $250,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. 
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.</div>

Senior Vice President, Full-Stack Engineer

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