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senior data engineer

cloud engineer

Hex Technologies

SF, NYC, or Remote (USA)
 About the role
 
We are looking for an experienced Cloud Security Engineer to join Hex’s security team. You will be responsible for ensuring the security and resilience of our cloud infrastructure, providing leadership in cloud security practices, and collaborating closely with our infrastructure and engineering teams to secure our cloud-native applications.
 
About the role: 
Design, implement, and manage security solutions and controls for AWS environments and Kubernetes clusters, including appropriate isolation/sandboxing methods for Hex’s RCE-as-a-Service platform
 Build, deploy, and maintain infrastructure-as-code using Terraform, ensuring robust security standards are enforced.
 Conduct security assessments, threat modeling, and audits on AWS cloud infrastructure and Kubernetes deployments.
 Collaborate with development and operations teams to embed security best practices into CI/CD pipelines.
 Monitor and respond to cloud security incidents, identifying root causes and recommending remediation actions.
 Provide expertise in compliance requirements related to cloud security (e.g., SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS).
 Mentor engineers and advocate for cloud security across the organization.
 
About you: 
5+ years of experience in cloud security engineering, with extensive expertise in AWS.
 Demonstrated proficiency with Kubernetes security including cluster hardening, role-based access control (RBAC), network policies, and container vulnerability management.
 Expert-level knowledge and hands-on experience with Terraform.
 Familiarity with AWS security services (e.g., IAM, GuardDuty, Security Hub, CloudTrail, WAF).
 Familiarity with CNAPP solutions such as Wiz
 Familiarity with SIEM solutions such as Panther
 Solid understanding of secure software development lifecycle practices, CI/CD security, and DevSecOps methodologies.
 Relevant certifications such as AWS Certified Security – Specialty, Certified Kubernetes Security Specialist (CKS), and Terraform Associate certification are highly desirable.
 Bonus points for security certifications from SANS or OffSec.
 Excellent problem-solving, communication, and leadership skills.
 Our Engineering team
 
We’re a group of engineers who are forging new ground together and love partnering with Security on our journey to pull ahead of our competition. You can read about how we think through problems as well as how we learn from mistakes on our blog here:
 
How we took down production…
 Beyond Linear Notebooks
 A pragmatic approach to live collaboration
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $200,000 - $265,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

Cloud Security Engineer

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide.
Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making.
The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. As a Site Reliability Engineer in the Solutions Engineering capability, you will work closely with our engineering colleagues to play a pivotal role in designing, implementing, and maintaining scalable, resilient, and supportable cloud-based platform solutions.
The focus will be on enabling research Application, Machine Learning (ML) workloads and HPC environments through automation, efficient resource management, and Infrastructure as Code (IaC) using tooling. As a member of the DDC team you will help mature the scalable platforms that help unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. 
The Opportunity:
Infrastructure as Code (IaC) Design and Implementation<ul><li>
Architect and implement IaC solutions using tools like Terraform, Spacelift, or CloudFormation to provision and manage cloud infrastructure for ML and HPC workloads. Automate the deployment of scalable ML pipelines, HPC clusters, and supporting services across global regions.</li></ul>
Global Availability and Resiliency<ul><li>
Architect resilient and highly available solutions for ML and HPC workloads using cloud-native practices such as auto-scaling, load balancing, and failover mechanisms. Implement disaster recovery (DR) and business continuity plans for critical systems to ensure global operational integrity. Conduct chaos engineering experiments to validate system reliability and identify potential weaknesses.</li></ul>
Automation and Observability<ul><li>
Develop automation scripts and workflows to streamline infrastructure management, deployment, and scaling for ML and HPC use cases. Implement robust monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, Datadog, or ELK Stack to provide deep insights into system health and performance. Knowledge of AIOps incident management, processes and tooling.</li></ul>
Collaboration and Leadership<ul><li>
Provide technical leadership to a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Partner with cross-functional teams to align infrastructure solutions with business objectives and ML/HPC workload requirements. Mentor and train junior engineers in IaC practices, ML, and HPC infrastructure design.</li></ul>
Cost Optimization and Governance<ul><li>
Monitor and optimize cloud infrastructure usage and costs for ML and HPC workloads. Ensure compliance with organizational security, governance, and regulatory policies in all IaC and cloud implementations.</li></ul>
Who You Are:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or similar technical field, or equivalent experience and 7+ years of experience in software engineering Site Reliability Engineering (SRE).</li><li>
Proven expertise in supporting and deploying IaC solutions in cloud environments (AWS, Azure, or GCP) for ML and HPC workloads.</li><li>
Background in MLOps pipelines, including model versioning, CI/CD for ML, and feature store integration including experience with managed ML services (e.g., AWS SageMaker, Google AI Platform, or Azure ML).</li><li>
Deep understanding of cloud-native architectures, including autoscaling, serverless, and multi-region deployments.</li><li>
Technical Skills:<ul><li>
Advanced proficiency with IaC tools: Terraform, Pulumi, or CloudFormation.</li><li>
Expert in scripting and automation: Python, Bash, or Go.</li><li>
Strong understanding of GPU-accelerated computing (e.g., NVIDIA CUDA, TensorFlow) and HPC workload scaling.</li><li>
Knowledge of distributed systems, storage solutions, and data pipelines.</li><li>
Familiar with monitoring and observability tools: Prometheus, Grafana, Datadog, or similar.</li></ul></li><li>
Soft Skills:<ul><li>
Strong problem-solving skills, with a methodical approach to troubleshooting.</li><li>
Excellent communication, leadership, and mentoring abilities.</li><li>
Ability to work collaboratively across teams in a fast-paced, dynamic environment.</li></ul></li></ul>
Preferred Qualifications<ul><li>
Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect).</li><li>
Experience with distributed ML frameworks and data engineering pipelines (e.g., Horovod, TensorFlow Distributed, Apache Airflow, Apache Spark ).</li><li>
Experience with compliance frameworks (e.g., GDPR, SOC 2, ISO 27001).</li></ul>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $162,600 - $302,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 13th 2026
</div><div>Job ID
202604-108676</div></ul></div></div></div></div>

Principal Site Reliability Engineer (Intelligent Automation)

Okta

<div>Secure Every Identity, from AI to Human 
 
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. 
 
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations do two things - secure and manage their extended enterprise, and transform their customers' experiences. With over 14,000 customers, 7000+ app integrations, and well over 200 million registered users, we are only getting started.

The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale.

We're looking for a staff-level Platform engineer to join a team of highly skilled and talented team players who're proud of what they own and deliver. Our elite team is fast, creative, and flexible; with a weekly release cycle and individual ownership, we expect great things from our engineers and reward them with stimulating new projects, new technologies, and the chance to have significant equity in a company that is changing the cloud computing landscape forever. 


You Will
<ul><li>
Core contributor to Okta&rsquo;s FedRAMP initiative</li>
<li>Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch, Docker, Terraform on AWS)</li>
<li>Drive evaluation, development, and rollout of new common microservices</li>
<li>Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business.</li>
<li>Evaluate existing systems to evolve them for serving in specialized circumstances to support Okta's future business needs</li>
<li>Conduct design and code reviews. Ascertain that proposed designs consider scale, redundancy, and multi-tenancy. Ensure high programming standards by writing unit and functional tests.</li>
<li>Monitor, troubleshoot, and fix services and frameworks the team owns</li>
<li>Evaluate system performance and resolve bottlenecks</li>
<li>Provide technical guidance and mentorship to junior developers</li>
<li>Collaborate with architects, QA, product owners, security and operations engineers</li></ul> 


You Have
<ul><li>
Immense passion for doing the right thing to help Okta's technology stay ahead of its anticipated business growth</li>
<li>Solid technology chops in architecting, implementing, tuning, and debugging some of the largest cloud deployments in the enterprise world</li>
<li>A good understanding of computer science fundamentals such as data structures and algorithms&rdquo;</li>
<li>Bachelor's degree in computer science or equivalent; master's preferred.</li>
<li>7+ years of extensive programming experience in a modern programming language like Go, Java, or C++ especially in backend services. Go is preferred.</li>
<li> 4+ years experience working with PostgreSQL or equivalent relational database systems. Experience with designing and querying databases with optimization in mind is a plus.</li>
<li> Experience with Cloud fundamental building blocks like IaC, Observability, Secrets Management, CI / CD pipelines, secure coding practices, and compliance.</li>
<li> Demonstrated experience of working with REST and thorough understanding of its fundamentals</li>
<li> Experience with AWS, Redis, Elasticsearch / OpenSearch, Kinesis, Kafka, and Docker</li>
<li> Knowledge of network security, authentication, and authorization</li>
<li> Demonstrably followed best software engineering principles</li>
<li> Familiarity with Agile software development process</li>
</ul>
Education: Bachelor's degree in computer science or equivalent

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. 


Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment. 


#LI-Hybrid

#LI-LSS1

requisition ID- P24954_3414076 
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000&mdash;$267,000 USD 
The Okta Experience
<ul><li>
Supporting Your Well-Being</li>
<li>Driving Social Impact</li>
<li>Developing Talent and Fostering Connection + Community</li>
</ul>
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. 
 
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Staff Software Engineer - PAM Core

blee

<div><h2 class="jobSectionHeader">About Blee</h2>
At Blee we are replacing workflows that typically run on spreadsheets, email, etc with AI-first software that brings the whole org together to meet compliance requirements faster, more thoroughly, and with greater transparency. We currently have thousands of active users from dozens of enterprise-grade customers on pledged, or paid, long-term contracts. Our leadership group hails from the likes of Adobe, Chime, PayPal, AWS, Wachtell, Harvard Law, and Columbia Law.
We have built the first platform that handles the unique challenges our customers face from front-to-back. We find the ideal people for Blee will not only be natural problem solvers but will also enjoy the thrill of discovering which problems our users need solving in the first place, most of whom have never used a product like Blee before.
We have an office in downtown SF, one in NYC coming soon, and most of our team is split between the Bay Area and NYC.
The Role
This is a Full Stack Engineer role for a strong generalist who thrives on building things to spec and solving difficult implementation problems. While you'll work across the stack, you'll spend the majority of your time on backend services, database design, and infrastructure &mdash; building the foundation that powers the platform. You will take product requirements and turn them into polished, production-ready features, working closely with engineering leadership, product, and customer-facing teams.
What You'll Do<ul><li>
Build features end-to-end from spec &ndash; Take detailed product requirements and deliver complete, tested implementations across frontend and backend</li><li>
Design and maintain database schemas &ndash; Write migrations, optimize query performance, and ensure data integrity at scale</li><li>
Build and improve backend services &ndash; Develop APIs, data pipelines, and core platform services</li><li>
Own infrastructure work &ndash; CI/CD pipelines, monitoring/alerting, deployment automation, and reliability improvements</li><li>
Solve complex implementation challenges &ndash; Debug thorny integration issues, optimize performance bottlenecks, and architect reliable solutions</li><li>
Troubleshoot production issues &ndash; Diagnose and resolve incidents across the stack with a focus on reliability and uptime</li><li>
Write and maintain automated tests &ndash; Unit, integration, and e2e to ensure production quality</li></ul>
Who You Are<ul><li>
A reliable, execution-focused engineer who takes pride in getting things built right</li><li>
Comfortable working across the full stack but especially strong on the backend &mdash; databases, APIs, and infrastructure are where you do your best work</li><li>
Deep comfort with relational databases, indexing strategies, and query optimization</li><li>
Experience reasoning about system reliability, scaling, and observability</li><li>
Methodical and detail-oriented &mdash; you follow specs carefully and raise flags early when something doesn't add up</li><li>
A clear communicator who can work effectively with PMs, designers, and customers</li><li>
Quality-driven; your code is tested, reviewed, and production-ready</li><li>
Excited to work in a small team where your contributions are immediately visible</li></ul>
Who You'll Work With
You will work directly with Blee's engineering and product leadership, collaborating closely with the PM, engineering team, and customer-facing teams.
Requirements<ul><li>
2&ndash;5 years of full-stack experience with a backend emphasis (Python/Node.js + React/TypeScript preferred)</li><li>
Experience with cloud infrastructure (AWS, GCP, or similar), containerization (Docker), and IaC tools (Terraform, Pulumi, etc.)</li><li>
Shipped features in a fast-paced startup environment</li><li>
Strong CS fundamentals: data structures, system design, API design, DB optimization</li><li>
Familiarity with observability tooling (Datadog, Sentry, etc.) and production incident response</li><li>
CI/CD, testing frameworks, and production monitoring experience</li><li>
Based in SF or NYC &amp; willing to come into the office 3 days a week</li></ul>
Nice-to-Have<ul><li>
Advanced SQL skills &mdash; schema design, query optimization, migrations at scale</li><li>
Experience building a Figma plugin</li><li>
Experience building a Chrome extension</li><li>
Experience with Adobe UXP/CEP plugin development</li><li>
Experience building Office Add-ins (via Office.js)</li><li>
AI/ML integration experience (model serving, prompt engineering, LLM features)</li><li>
Legaltech, adtech, or compliance tooling background</li></ul>
Benefits<ul><li>
Competitive salary and equity package</li><li>
Fully paid medical, dental, and vision insurance</li><li>
Free access to OneMedical</li><li>
Short and long-term disability insurance</li><li>
Company-paid life insurance</li><li>
Company-sponsored 401k</li><li>
Unlimited PTO (with mandatory 15 days off)</li><li>
Financial support for work-adjacent learning opportunities</li></ul>
At Blee, we welcome and celebrate diversity in all its forms. We do not discriminate based on race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic. Your unique perspective is valued here.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time
Compensation Range: $160K - $210K</div>

Full Stack Engineer

Apple

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. We are seeking an exceptional engineer with a background in large scale software development and delivery in hyper-scale distributed computing environments. You will work within cybersecurity software engineering team that drives Apache Spark&rsquo;s state-of-the art features and pushes the boundaries of what is possible in our industry. 
 
Description 
 
Apple is seeking an extraordinary individual to work on a team supporting and developing services which underpin mission critical information security capabilities. Spark expertise is a prerequisite. While previous experience in information security is not required, a sincere drive for security and privacy is required. This role will work closely with our engineering teams and with partner teams to ensure the successful design, development, and delivery of product objectives. The successful candidate will have a passion for technical excellence and team collaboration with a heavy focus on using cutting-edge technologies to build data intensive systems, designing and optimizing data models, and collaborating with cross-functional teams to solve complex data challenges. 
 
Preferred Qualifications 
 
5+ years experience in data engineering and demonstrated expertise with data modeling 
 
5+ years of experience with JVM languages: Java or Scala 
 
5+ years experience with big data platforms 
 
Familiarity with ML/AI workflows and feature engineering to support analytics, reporting, and machine learning use cases 
 
Knowledge engineering expertise including semantic models and knowledge graphs 
 
Experience working with cloud compute environments like OpenStack, AWS, and Azure 
 
Experience mentoring engineers, conducting code reviews, and contributing to technical best practices and documentation 
 
Knowledge of data quality frameworks and validation techniques 
 
Knowledge of data governance and compliance frameworks 
 
Minimum Qualifications 
 
4 years+ demonstrated expertise in designing and implementing relational and medallion data architectures 
 
4 Years+ demonstrated expertise in the design and implementation of production data pipelines at scale 
 
4 Years+ demonstrated proficiency with JVM languages (Scala or Java preferred), Spark, Golang, or Swift 
 
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 $147,400 and $272,100, 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 Data Engineer

Forge Global

<div><div>At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge&rsquo;s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.</div><div>

The Role:

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities
<ul>
<li>Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions</li>
<li>Implement software solutions in line with provided estimates and requirements</li>
<li>Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption</li>
</ul>
Qualifications
<ul>
<li>3&ndash;5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java</li>
<li>Experience with scripting languages such as Python for data-related tasks</li>
<li>Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)</li>
<li>Experience in Private Markets or Financial Services, specifically working with financial market data</li>
<li>Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality</li>
<li>Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development</li>
<li>Proficiency in databases such as PostgreSQL and strong SQL skills</li>
<li>Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)</li>
<li>Extensive experience with version control systems such as Git and platforms like GitHub</li>
<li>Familiarity with Agile project management tools such as JIRA or similar tools</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience migrating systems from legacy architectures to modern tech stacks</li>
<li>Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka</li>
<li>Experience leading offshore and nearshore engineering teams</li>
<li>Experience using large language models and agentic workflows</li>
</ul>
For residents of San Francisco, CA the annual salary range for this role is $110,000-$140,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors</div><div>

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches.

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.</div></div>

Arcadia

<div>
 
 
 
 ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States****
 
 
 
 
 
 
 
 
 🚀 About the Role
 
 
 
 A fast-growing SaaS startup in the cloud financial management space is hiring a Data Engineer to own and scale the data infrastructure powering a platform built for large enterprises with complex cloud spending needs. This is a technically rich role for an engineer who loves wrangling massive volumes of semi-structured data, building bulletproof pipelines, and caring deeply about data quality end to end.
 
 
 
 
 
 You'll work across the full data stack, from pipeline architecture to schema design to quality control, in an environment where your work directly drives high-stakes financial decisions for enterprise customers.
 
 
 
 
 
 
 
 ***Candidates must currently be located in the San Francisco Bay Area. This role is hybrid (3 days in-office, 2 days remote) in the SF Financial District***
 
 
 
 
 
 
 
 
 
 ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States***
 
 
 
 
 
 
 
 
 🛠 What You'll Do
 
 
 <ul>
 <li>
 Design efficient data storage and retrieval systems using ClickHouse, Parquet, and S3
 </li>
 <li>
 Build and maintain ETL pipelines processing hundreds of millions of rows of cloud billing data
 </li>
 <li>
 Develop robust data validation and quality control systems in Python and SQL
 </li>
 <li>
 Design and evolve data models for complex, constantly changing cloud billing schemas
 </li>
 <li>
 Build and optimize Airflow workflows for reliable, scalable data processing
 </li>
 <li>
 Collaborate with the engineering team to investigate and resolve data quality issues
 </li>
 <li>
 Scale data infrastructure as the platform expands to new cloud providers and use cases
 </li>
 </ul>
 
 
 
 
 
 ✅ What We're Looking For
 
 
 <ul>
 <li>
 3+ years of experience with data products: warehouses, lakehouses, OLAPs, ETL pipelines, or job queues
 </li>
 <li>
 Intermediate to strong Python skills with a software engineering foundation
 </li>
 <li>
 Strong SQL chops including CTEs, window functions, and query optimization
 </li>
 <li>
 Experience building data validation and quality control systems
 </li>
 <li>
 Comfort with columnar databases, Parquet, and cloud storage (S3)
 </li>
 <li>
 Startup experience and the ability to move fast in ambiguous, evolving environments
 </li>
 <li>
 A genuine fastidiousness about data quality, even when there's no answer key
 </li>
 </ul>
 
 
 
 
 
 ⭐ Bonus Points For
 
 
 <ul>
 <li>
 Hands-on experience with ClickHouse or other OLAP datastores
 </li>
 <li>
 Familiarity with cloud billing data or cost management tooling (AWS CUR, etc.)
 </li>
 <li>
 Experience with Airflow or similar workflow orchestration tools
 </li>
 <li>
 Backend engineering experience beyond data pipelines
 </li>
 </ul>
 
 
 
 
 
 💥 Why Apply?
 
 
 <ul>
 <li>
 End-to-end ownership of data products that directly impact enterprise customer outcomes
 </li>
 <li>
 Genuinely complex technical challenges at scale in a specialized, fast-growing domain
 </li>
 <li>
 Small, senior team where your contributions are visible and matter immediately
 </li>
 <li>
 Ground-floor opportunity at a well-backed startup with real revenue and strong domain expertise
 </li>
 </ul>
 
 
 
 
 
 
 ***This role is unable to provide sponsorship, a visa transfer, or work on a C2C basis. Candidates MUST be permanent residents of the United States***
 
 
 
 
 
</div>

Data Engineer

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