staff engineer

SCAN Health Plan

<div><p>Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the &ldquo;12 Angry Seniors.&rdquo; Their mission continues to guide everything we do.</p><p>
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.</p><p>
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.</p><p>
At SCAN, we believe scale should strengthen&mdash;not dilute&mdash;our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.</p><p></p><p><b>
The Job:</b></p><p></p><p>
As an AI Engineer, you will design, build, and optimize enterprise AI solutions that improve how the organization operates, makes decisions, and serves its members. Your responsibilities span developing AI applications, building secure and scalable data and automation pipelines, and supporting production-ready AI systems. You will collaborate across business, data, security, compliance, and technology teams to translate business needs into practical AI solutions, apply responsible AI practices, and deliver measurable value through innovation, automation, and continuous improvement.</p><p></p><p><b>
You Will:</b></p><p></p><p><b>
AI Solution Design &amp; Engineering</b></p><ul><li>
Design, build, and maintain AI-powered applications, services, and workflows that address enterprise business needs.</li><li>
Translate business requirements into scalable technical designs, prototypes, and production-ready solutions.</li><li>
Apply software engineering best practices for reliability, maintainability, documentation, and secure deployment.</li></ul><p><b>
LLM &amp; Agentic AI Implementation</b></p><ul><li>
Develop and integrate AI capabilities using large language models, embeddings, prompt engineering context engineering, and agentic frameworks.</li><li>
Build AI assistants, automation tools, and agentic workflows that improve productivity and operational outcomes.</li><li>
Evaluate model behavior, output quality, performance, and fit-for-purpose use across enterprise scenarios.</li></ul><p><b>
Data, Integration &amp; Retrieval Engineering</b></p><ul><li>
Build and maintain data pipelines, API integrations, and retrieval patterns that support AI applications and analytics.</li><li>
Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate.</li><li>
Partner with data and platform teams to ensure quality, lineage, scalability, and secure access to enterprise data sources.</li></ul><p><b>
AI Platform, DevOps &amp; Operational Support</b></p><ul><li>
Support deployment, monitoring, testing, and maintenance of AI solutions across development, test, and production environments.</li><li>
Implement CI/CD, model evaluation, observability, and operational controls for AI-enabled systems.</li><li>
Troubleshoot technical issues, improve performance, and support continuous enhancement of AI platforms and applications.</li></ul><p><b>
Responsible AI, Security &amp; Governance</b></p><ul><li>
Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight.</li><li>
Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use.</li><li>
Document solution design, risks, controls, assumptions, and operational considerations for AI systems.</li><li>
We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.</li><li>
Actively support the achievement of SCAN&rsquo;s Vision and Goals.</li><li>
Other duties as assigned.</li></ul><p></p><p><b>
Your Qualifications:</b></p><ul><li>
Bachelor's Degree in Computer science, Engineering, or a related field, or equivalent experience</li><li>
Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG),vector embeddings, prompt engineering, and agent orchestration</li><li>
Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations.</li><li>
Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence).</li><li>
Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Semantic Kernel, etc.).</li><li>
Ability to connect business requirements to technical solutions, develop reusable components, and improve solution adoption and operational impact.</li><li>
Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams.</li><li>
Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.</li><li>
Strong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies</li><li>
Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.</li></ul><p></p><p><b>
Preferred Certifications or Licenses:
</b></p><ul><li>Microsoft Certified: Azure AI Engineer Associate</li><li>
Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial.</li><li>
Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous.</li></ul><p></p><p><b>
Experience Preferred:
</b></p><ul><li>Extensive experience (6+ years) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.</li><li>
Demonstrated hands-on expertise (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions.</li><li>
Proven track record delivering enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams.</li><li>
Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services.</li><li>
Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms is highly valued.</li><li>
Strong stakeholder management and communication skills, with ability to translate business needs into scalable technical solutions and drive adoption across diverse teams.</li><li>
Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.</li></ul><p></p><p><b>
What's in it for you?</b></p><ul><li><p>
Base salary range: $106,200 to $182,983 annually</p></li><li><p>
An annual employee bonus program</p></li><li><p>
Robust Wellness Program</p></li><li><p>
Generous paid-time-off (PTO)</p></li><li><p>
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days</p></li><li><p>
Excellent 401(k) Retirement Saving Plan with employer match</p></li><li><p>
Robust employee recognition program</p></li><li><p>
Tuition reimbursement</p></li><li><p>
An opportunity to become part of a team that makes a difference to our members and our community every day!</p></li></ul><p></p><p>
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!</p><p></p><p>
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.</p><p></p><p>
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.</p><p></p><p>
#LI-JB1 #LI-Hybrid</p><p><b>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></p><p></p><p><i>
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information. 41 CFR 60-1.35(c)</i></p></div>

AI Staff Engineer

GE Vernova

<div><div><div>GE Vernova is embracing cutting-edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse as well as sharing across businesses.
<br>
<br>
We are seeking a highly motivated and talented AI Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.
<br>
<br>
We are driving strategy and leading research &amp; development efforts to execute on the business&rsquo;s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.
<br>
Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova&rsquo;s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.
<p></p><h1 class="jobSectionHeader"><b>Job Description</b></h1>
<ul><li>Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.</li>
<li>Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.</li>
<li>Work closely with software developers to integrate LLM solutions into existing or new applications.</li>
<li>Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units.</li>
<li>Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.</li>
<li>Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.</li>
<li>Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.</li>
</ul><p><b>Qualifications/Requirements:</b></p>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or related field with 5+ years' relevant experience.</li>
</ul><p></p><p><b>Ideal Candidate Characteristics:</b></p>
<ul><li>Master&rsquo;s degree in AI Engineering, Computer Science, Engineering, Data Science, or related field</li>
<li>Experience with prompt engineering and familiarity with tools such as OpenAI&rsquo;s GPT models, Hugging Face, etc.</li>
<li>Proficiency in Python or other programming languages commonly used in AI/ML development.</li>
<li>Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).</li>
<li>Previous experience or internships involving NLP or machine learning projects.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Understanding of traditional industry operations and challenges.</li>
<li>Strong problem-solving skills and attention to detail.</li>
<li>Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li>
<li>Ability to work collaboratively in a team environment and adapt to changing project requirements.</li>
</ul><p></p><div><div><div><div><div><div><div><p>GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p>
</div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p><b>Relocation Assistance Provided: </b>Yes</p><br>
</div></div></div></div></div></div></div><p></p>For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate&rsquo;s experience, education, and skill set.<br>
<p></p>Bonus eligibility: discretionary annual bonus.<br>
<p></p>This posting is expected to remain open for at least seven days after it was posted on July 29, 2026.<br>
<p></p>Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.<br>
<p></p>GE Vernova Inc. or its affiliates (collectively or individually, &ldquo;GE Vernova&rdquo;) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.</div></div></div><div></div>

Staff Engineer - AI Engineering

<div><b>Job ID</b> 2026-18545 <b>Date posted</b> Jul. 27, 2026 <b>Location</b> Austin, Texas <b>Category</b> Hardware Engineering</div>
<br><div><p>Arm has formed a new group to develop outstanding silicon demonstrators based on Arm&rsquo;s IP compute sub-system solutions and addressing markets such as premium mobile, infrastructure and automotive. Using innovative nodes such as 3nm and advanced SoC 2.5D and 3D technology, Arm strives to demonstrate powerful industry performance by crafting, developing, realizing, and producing modern silicon chips.</p>
<h2 class="jobSectionHeader"><b>Responsibilites:</b></h2>
<ul><li>Owning full chip and block level timing closure throughout the entire project cycle for complex multi-instantiated compose!</li>
<li>Handling timing constraints for functional and test mode at different logical hierarchical levels</li>
<li>Work closely with various multi-functional teams on resolving sophisticated timing issues for major building blocks of sophisticated SoCs</li>
<li>ECO generation at both block and top level, handshaking with team for timing/functional ECO implementation</li>
<li>Familiarity with IO interfaces and SOC bus protocols</li>
</ul><h2 class="jobSectionHeader"><b>Required Skills and Experience :</b></h2>
<ul><li>Work experience of 6+ years in Timing convergence</li>
<li>Experience in industry standard STA tools and methodologies</li>
<li>Knowledge of timing corners/modes including DFT, process variations and signal integrity issues</li>
<li>Work experience on timing closure for multi power domain designs</li>
<li>Experience in collaborating across silicon engineering groups in your organization as well as with EDA vendors</li>
<li>Must have worked on constraints development and timing closure on 5nm or 3nm technologies</li>
<li>Strong Automation(Pert/Tcl/Python) and conversational abilities</li>
</ul><h2 class="jobSectionHeader"><b>&ldquo;Nice To Have&rdquo; Skills and Experience :</b></h2>
<ul><li>Masters or equivalent experience in Electrical Engineering</li>
<li>Coding skills in Perl/Python or TCL or an equivalent language</li>
<li>Familiarity with synthesis, logic equivalence, DFT, CLP and backend related methodology and tools</li>
<li>Strong presentation skills!</li>
</ul><div><h2 class="jobSectionHeader"><b>Salary Range:</b></h2>
$198,100-$268,000 per year
<p>We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.</p>
</div><h2 class="jobSectionHeader"><b>Our 10x Mindset</b></h2>
<p>At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset</p>
<h2 class="jobSectionHeader"><b>Use of AI in Your Application</b></h2>
<p>At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.</p>
<h2 class="jobSectionHeader"><b>Recruitment Adjustments and Accommodations</b></h2>
<p>At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.</p>
<h2 class="jobSectionHeader"><b>Hybrid Working</b></h2>
<p>Arm&rsquo;s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team&rsquo;s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.</p>
<h2 class="jobSectionHeader"><b>Equal Opportunities</b></h2>
<p>Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don&rsquo;t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p></div>

Staff STA Engineer

Shield AI

<div><div><div>Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI&rsquo;s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.</div><div></div><h3 class="jobSectionHeader"><b><br>
Job Description:</b></h3>
<div>
<p>As a Software Systems Test Engineer, you will be pivotal in driving integration testing of our full aircraft software system, integrating our autonomy, flight controller, and GCS software to qualify an intelligent, robust aircraft system. This role demands an engineer capable of overseeing system-level verification and validation, designing complex test scenarios, and ensuring that subsystem testing meets rigorous standards before proceeding to full system integration. You will marshal our aircraft software through full system verification &amp; validation. Your work will directly impact the reliability and performance of our aircraft, preparing them for operational excellence in the field.</p>
</div></div>
<div><div><h3 class="jobSectionHeader"><b>What you'll do:</b></h3><div><div><div>
<ul><li>Generate detailed mission test scenarios that mimic real-world conditions to validate the performance of autonomy and flight control software.</li>
<li>Participate in design reviews for new features and design detailed test plans based on their requirements</li>
<li>Conduct and manage system verification and validation events, culminating in verified flight readiness.</li>
<li>Write test analyzers in Python to report and benchmark performance and qualification metrics of the system</li>
<li>Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements</li>
<li>Recommend improvements to our simulation models and fault injection so that we can keep pushing the capabilities of our test suite before proceeding to flight</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Required qualifications:</b></h3><div><div><div>
<ul><li>10+ years of work experience in testing complex integrated software systems</li>
<li>Demonstrated expertise &amp; experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing</li>
<li>Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems</li>
<li>Great understanding of system architecture, requirement derivation, and test planning across the V-model</li>
<li>Experience with automating test cases in an existing test framework</li>
<li>Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures</li>
<li>Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment</li>
<li>B.S., M.S, or PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field</li>
</ul></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Preferred qualifications:</b></h3><div><div><div>
<ul><li>Experience with autonomous or robotic systems</li>
<li>Experience with simulation software and hardware emulation</li>
<li>Background in a fast-paced, R&amp;D or startup environment</li>
<li>Proficiency in build test automation</li>
<li>Proficiency in Python or C++</li>
</ul></div></div></div></div></div><div><div>$180,000 - $270,000 a year</div><div>
#LI-SM1</div>
<div>#LE</div></div>
<div><div>Full-time regular employee offer package:</div>
<div>Pay within range listed + Bonus + Benefits + Equity</div>
<div></div>
<div>Temporary employee offer package:</div>
<div>Pay within range listed above + temporary benefits package (applicable after 60 days of employment)</div>
<div></div>
<div>Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.</div>
<div></div>
<div>###</div>
<div></div>
<div>Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Staff Engineer, Systems Test (R5430)

LeafLink

<div><div><h2 class="jobSectionHeader"><b>About LeafLink</b></h2>
<p>
LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively, sell or order from their favorite brands and accelerate growth. We are one platform, one solution and we&rsquo;re defining the way thousands of cannabis brands, distributors, and retailers streamline their operations. With thousands of brands and retailers across 30+ markets in North America, we are setting the industry standard for how cannabis businesses grow together. LeafLink processes more than $5 billion in wholesale cannabis orders annually.</p>
<p>
Our team, backed by funding from leading VC's, including Founders Fund, Thrive Capital, Nosara Capital, and Lerer Hippeau is poised to define the cannabis supply chain through technology. LeafLink was named one of Inc. 5000&rsquo;s &lsquo;Top 5000 Fastest-Growing Private Companies&rsquo;; one of Fast Company's 'Top 10 Most Innovative Companies in Enterprise for 2020', joining the ranks of Amazon, Slack, and VMWare; one of Built In NYC's 'Best Places to Work in 2021'; 2024 Fast Company&rsquo;s Best WorkPlaces for Innovators for Banking, Finance, and Fintech category; 2024 Green Market Report Award for Best Fintech in cannabis - and we're just getting started!</p></div><div><h2 class="jobSectionHeader"><b>
The Role</b></h2>
<p>
LeafLink is seeking a Staff Data Engineer to help lead the evolution of our data platform and analytics infrastructure. This role will design and scale systems that power analytics, reporting, and operational insights across the organization.</p>
<p>
Staff Data Engineers influence how data is modeled, moved, and consumed across the company. This role partners with engineering, finance, product, and operations teams to ensure the data platform remains reliable, scalable, and capable of supporting critical decision-making.</p>
<h2 class="jobSectionHeader"><b>
What You&rsquo;ll Be Doing</b></h2>
<ul><li>Design and lead development of scalable data pipelines using Airflow, dbt, and Python.</li>
<li>Guide architecture and evolution of the company data platform.</li>
<li>Build integrations across modern data stack tools including Fivetran, Redshift, and Sigma.</li>
<li>Develop serverless data services using AWS services such as Lambda.</li>
<li>Partner with stakeholders to define reliable data models and analytics datasets.</li>
<li>Improve pipeline reliability through testing, monitoring, and observability.</li>
<li>&quot;mention the word grass in your application&quot;</li>
<li>Modernize legacy data processes and improve automation across the platform.</li>
<li>Mentor engineers and analysts on data modeling and platform best practices.</li>
<li>Drive improvements in data governance and documentation.</li>
</ul><h2 class="jobSectionHeader"><b>What You&rsquo;ll Bring to the Team</b></h2>
<ul><li>8+ years of experience building production data pipelines and analytics infrastructure.</li>
<li>Strong SQL skills and experience modeling large datasets.</li>
<li>Strong Python experience for building pipelines and automation.</li>
<li>Experience with Airflow, dbt, or similar orchestration and transformation tools.</li>
<li>Experience with modern data stack tools such as Fivetran, Redshift, or Sigma.</li>
<li>Experience with AWS and serverless data processing such as Lambda.</li>
<li>Strong understanding of data warehouse architecture and analytics engineering</li>
<li>Demonstrated ability to lead technical initiatives across teams.</li>
</ul><h2 class="jobSectionHeader"><b>LeafLink Perks &amp; Benefits</b></h2>
<ul><li><b>Flexible PTO</b> - you&rsquo;re going to be working hard so enjoy time off with no cap!</li>
<li>A robust <b>stock option plan</b> to give our employees a direct stake in LeafLink&rsquo;s success</li>
<li><b>5 Days of Volunteer Time Off (VTO) </b>- giving back is important to us and we want our employees to prioritize cultivating a better community</li>
<li><b>Competitive compensation </b>and<b> 401k</b></li>
<li>Comprehensive<b> health</b> <b>coverage </b>(medical, dental, vision)</li>
<li><b>Commuter Benefits </b>through our Flexible Spending Account</li>
</ul>
<p><i>LeafLink&rsquo;s employee-centric culture has earned us a coveted spot on </i><i>BuiltInNYC&rsquo;s Best Places to Work for in 2021 list.</i></p></div><div><div><p>
Base salary range</p><p>
$170,000 - $230,000 USD</p></div></div></div>

Staff Data Engineer

Dexcom

<div><p><b>The Company
</b></p><p>Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.<br>
</p><p></p><p>We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
</p><p></p><p><b>Meet the team:
</b></p><p>As part of the Commercial Data Science &amp; Revenue Operations team, you will join a data engineering group responsible for building and operating Dexcom&rsquo;s commercial data platform on AWS. As a Staff Data Engineer, you will design and build data services that ingest from 12+ vendor sources, orchestrate transformation pipelines, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives. You will own AWS-native development workflows using Lambda, Glue, CDK, Step Functions, and Redshift, with a focus on reliability, automation, and scalable infrastructure. The ideal candidate will partner with data scientists and business stakeholders to build the platform that powers commercial analytics and AI/ML initiatives.
</p><p></p><p><b>Where you come in:
</b></p><ul><li><b>Design and build data pipelines </b>that ingest, transform, and deliver vendor data (SFTP, API, file-based sources) into S3 and Redshift, with validation checks and automated error handling at each stage.
</li><li><b>Own AWS-native development workflows </b>leveraging Lambda, Glue, CDK, and Step Functions to create scalable, cost-aware data services that integrate cleanly with enterprise platforms and reduce manual operational overhead.
</li><li><b>Implement data quality assertion frameworks </b>that validate completeness, freshness, and accuracy at pipeline boundaries before data reaches downstream consumers &mdash; data scientists, analysts, and commercial teams.
</li><li><b>Build alerting systems and reliability playbooks </b>that enable the team to detect and respond to data platform issues before they impact downstream consumers, shortening mean time to detect/resolve.
</li><li><b>Model and evolve the data warehouse schema </b>, designing dimensional models and orchestrating multi-source feeds into a unified analytical layer with documented lineage and managed schema evolution.
</li><li><b>Partner with Privacy, Security, and IT </b>on data governance requirements, translating policy requirements into technical implementations that keep the platform compliant without slowing engineering velocity.
</li><li><b>Set technical direction for your area </b>and mentor team members through code reviews, pairing sessions, and documentation of reusable patterns and architectural decisions.
</li></ul><p></p><p><b>What makes you successful:
</b></p><ul><li><b>Cloud: </b>Hands-on proficiency with AWS-native architectures (Lambda, Glue, S3, Redshift, Step Functions, CDK) with cost optimization awareness and ability to make build-vs-buy trade-off recommendations. Active AWS certification (Solutions Architect - Associate, Data Engineer - Associate, or equivalent) preferred.
</li><li><b>Data Platform: </b>Experience designing dimensional models and managing schema evolution in a growing data platform serving multiple stakeholder groups, with strong SQL skills including complex query optimization and debugging.
</li><li><b>Engineering: </b>Proficiency in Python development in cloud environments, including CI/CD pipeline construction with GitHub Actions, Infrastructure as Code with AWS CDK, and common libraries for data processing and API integration.
</li><li><b>Operational Excellence: </b>Track record building observability infrastructure (logging, metrics, alerting) for data-intensive applications, with experience writing runbooks and incident response procedures.
</li><li><b>Industry: </b>Familiarity with healthcare data compliance requirements (HIPAA, data use agreements, vendor data handling) or experience in similarly regulated, quality-driven settings.
</li><li><b>Communication: </b>Track record partnering with business leaders (director/VP level) to translate data capabilities into actionable strategies, with the ability to write executive-ready summaries.
</li><li><b>Leadership: </b>Experience elevating team capabilities through code reviews, documentation, and knowledge sharing, with a track record of improving team standards and onboarding practices.<br>
</li></ul><p><br>
<b>What you&rsquo;ll get:
</b></p><ul><li>A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community .
</li><li>A full and comprehensive benefits program.
</li><li>Growth opportunities on a global scale.
</li><li>Access to career development through in-house learning programs and/or qualified tuition reimbursement.
</li><li>An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
</li></ul><p></p><p><b>Travel Required:
</b></p><ul><li>5-15%
</li></ul><p></p><p><b>Experience and Education Requirements:
</b></p><ul><li>Typically requires a Bachelors degree in a technical discipline, and a minimum of 8-12 years related experience or Master&rsquo;s degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience.
</li></ul><p></p><p><b>Flex Workplace: </b>Your primary location will be a home office. You will not have an assigned workstation and will work with your manager to determine office visit needs. You must live within commuting distance of your assigned Dexcom site (typically 75 miles/120km).
</p><p></p><p>Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
</p><p></p><p>An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom&rsquo;s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com.
</p><p></p><p>If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com.
</p><p></p><p>Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&amp;brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&amp;lock=true
</p><p></p><p>To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.<br>
<br>
</p><p>Salary:
</p>$116,600.00 - $194,400.00</div>

hims & hers

<div><p>Hims &amp; Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health &amp; wellness challenges and innovating on their solutions, we&rsquo;re making better health outcomes easier to achieve.</p><p></p><p>
Hims &amp; Hers is a public company, traded on the NYSE under the ticker symbol &ldquo;HIMS.&rdquo; To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company&rsquo;s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.</p><p></p><h2 class="jobSectionHeader"><b>
About the Role:</b></h2><p></p><p>
We're looking for a Staff Data Engineer to join the Data Platform Engineering team at Hims &amp; Hers as a key technical driver for our most critical platform initiatives. Your scope spans multiple squads: you will drive shared architectural decisions, enhance cross-team reliability, and improve the overall developer experience for a team of nine engineers building the infrastructure that powers patient care for millions of Hims &amp; Hers subscribers.</p><p><br>
This is a hands-on execution role. You will own large, complex deliverables end-to-end - from design through production - across our full stack: BigQuery, dbt, Airflow on Astronomer, Confluent Kafka, Databricks, Fivetran, and Terraform/OpenTofu. You will be the DRI (Directly Responsible Individual) for cross-squad initiatives and the engineer other Senior DEs look to for technical direction and growth.</p><p></p><h2 class="jobSectionHeader"><b>
You Will:</b></h2><ul><li><p>
Serve as DRI for high-complexity, multi-sprint platform initiatives - Fivetran connector buildouts, Databricks Lakehouse migration workstreams, event streaming infrastructure, lower environment implementation, and engineering standards adoption</p></li><li><p>
Architect, build, and maintain production-grade ingestion pipelines and platform infrastructure - from source connectivity through Bronze/Silver layers - that Analytics Engineering, Data Science, and business teams build on daily</p></li><li><p>
Design, implement, and operate event-driven and streaming data pipelines using Kafka, PySpark, and Databricks Structured Streaming - including defining scaling strategies, cost guardrails, consumer lag alerting, and runbooks before those services reach production</p></li><li><p>
Own the ingestion and raw-to-cleansed layer (Bronze to Silver) data contracts, schema governance, and SLAs</p></li><li><p>
Own data quality for pipelines you build: write dbt tests, wire anomaly detection, validate schemas, and alert on data drift - pipelines ship with quality gates, not after them</p></li><li><p>
Own the reliability of systems you build: establish KPIs and SLOs, implement Datadog monitoring and alerting as code, participate in the on-call rotation, and own Tier 1 operational tickets and runbooks for systems under your domain</p></li><li><p>
Own the integration and data activation layer - Fivetran connectors and Hightouch reverse ETL pipeline connectors - end-to-end from IaC provisioning to production monitoring and schema change governance</p></li><li><p>
Support Analytics Engineers, Data Scientists, and ML engineers by building platform capabilities and data pipelines that unblock their roadmap; partner with legal, security, and DevOps on compliance controls and IaC hardening as needed. DE's responsibility is the platform layer and data delivery; transformation logic and model readiness for serving are owned by Analytics Engineering</p></li><li><p>
Identify and resolve systemic inefficiencies across DPE-owned pipelines and infrastructure - root cause, not just symptom</p></li><li><p>
Mentor Senior Data Engineers through design reviews, code reviews, and pairing; help them grow from squad-level to cross-squad scope</p></li><li><p>
Contribute to and drive adoption of engineering standards - testing practices, CI/CD patterns, observability-as-code, Schema Registry governance - and participate in ARC reviews for changes with cross-team or cost impact</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
You Have:</b></h2><ul><li><p>
8+ years of professional experience designing, building, and operating data pipelines and platform infrastructure</p></li><li><p>
Experience with CDC (Change Data Capture) patterns for real-time ingestion.</p></li><li><p>
Experience with Flink for stream processing</p></li><li><p>
Experience governing and administering dbt in a production BigQuery or Databricks environment - CI/CD configuration, testing standards, documentation standards, and platform-level schema governance. Hands-on dbt experience for ingestion-layer (Bronze/Silver) pipelines</p></li><li><p>
Experience building and operating Airflow DAGs at scale - task-level orchestration patterns, DAG reliability, and multi-priority scheduling</p></li><li><p>
Experience building event streaming pipelines using Kafka or Confluent Kafka - producers, consumers, schema evolution, Schema Registry governance, and consumer lag management</p></li><li><p>
Multi-cloud fluency across GCP and AWS - both are required day-to-day: BigQuery runs on GCP, Airflow runs on AWS EKS</p></li><li><p>
Experience owning data quality for production pipelines - dbt tests, anomaly detection, alerting on schema changes and data drift</p></li><li><p>
Experience with Fivetran or equivalent connector platform - IaC provisioning, schema change handling, and connector health monitoring</p></li><li><p>
Experience with the Databricks platform - Delta Lake, Databricks Workflows, and Unity Catalog</p></li><li><p>
Familiarity with data compliance in a regulated environment - HIPAA/PHI handling, access controls, and audit logging</p></li><li><p>
Infrastructure-as-code experience - Terraform or equivalent; you treat infrastructure changes like code changes</p></li><li><p>
Strong Python and SQL skills; comfortable writing, reviewing, and raising the bar on production-grade pipeline code</p></li><li><p>
Strong design instincts: you take ambiguous requirements, write clear solution designs, and ship to production with minimal rework</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h2><ul><li><p>
PySpark/SparkSQL for large-scale data processing</p></li><li><p>
Experience with Hightouch or equivalent reverse ETL platform</p></li><li><p>
Experience with MLOps - supporting ML engineers with data pipelines for model training, feature stores, or experimentation</p></li><li><p>
Familiarity with Looker LookML or equivalent BI serving layer</p></li><li><p>
Go experience for Kafka service development</p></li><li><p>
Experience at a direct-to-consumer healthcare, telehealth, or similarly regulated company</p></li><li><p>
Familiarity with UK/GDPR data compliance requirements distinct from US HIPAA</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our Benefits (there are more but here are some highlights):</b></h2><ul><li><p>
Competitive salary &amp; equity compensation for full-time roles</p></li><li><p>
Unlimited PTO, company holidays, and quarterly mental health days</p></li><li><p>
Comprehensive health benefits including medical, dental &amp; vision, and parental leave</p></li><li><p>
Employee Stock Purchase Program (ESPP)</p></li><li><p>
401k benefits with employer matching contribution</p></li><li><p>
Offsite team retreats</p></li></ul><p></p><p>
We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply&mdash;even if you're not sure if your background or experience is a perfect match.</p><p></p><p>
Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.</p><p></p><p>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p><p></p><p>
Hims &amp; Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims &amp; Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.</p><p></p><p>
To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.</p><p>
Compensation Range: $170K - $200K</p></div>

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