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aiml services data platform engineer

<div>Site Name: South San Francisco 611 Gateway Blvd, Cambridge 300 Technology Square, Seattle Sixth Ave 
Posted Date: Feb 24 2026 
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.<div> 
We're looking for a highly skilled individual contributor who can consistently take a poorly defined business or technical problem, work it to a well-defined problem/specification, and execute on it at a high level. They have a strong focus on metrics, both in the domains of system health/performance and the impact of their work. They are a model for the team on best practices for software development in general (and their specialization in particular), including code quality, documentation, DevOps practices, and testing, and coaching/mentorship. They ensure the robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows.</div><div>
This individual should be deeply familiar with the tools of their specialization and of their customers and engaged with the open-source community surrounding them &ndash; potentially, even to the level of contributing pull requests.</div>
Key Responsibilities:<div><ul><li>
Lead the design, development, and implementation of data frameworks, pipelines and services to support data operations for machine learning engineering teams.</li></ul></div><div><ul><li>
Collaborate with cross-functional teams to identify requirements and provide technical guidance. Integrate APIs with systems and platforms for seamless data exchange and enhanced system functionality.</li></ul></div><div><ul><li>
Produce well-engineered software, including appropriate automated test suites, technical documentation, and necessary operations.</li></ul></div><div><ul><li>
Boldly explore the bleeding edge of GenAI/agentic tools and frameworks to maximize gains while minimizing failures.</li></ul></div><div><ul><li>
Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage.</li></ul></div><div><ul><li>
Consult, educate, and coach/mentor on developer best practices and production standards, participate in code reviews and design sessions.</li></ul></div><div><ul><li>
Adhere to QMS framework and CI/CD best practices and helps to guide improvements to them that improve ways of working.</li></ul></div><div><ul><li>
Stay up-to-date on emerging technologies, trends, and best practices. Identify areas for improvement across the stack.</li></ul>
The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.<div><h1 class="jobSectionHeader">
Why you?</h1></div><div>
Basic Qualifications:</div><div><ul><li>
Bachelor's or graduate degree in Computer Science, focused on software or data engineering, high-performance computing, or machine learning or 5+ years of industry experience in software/data/machine learning engineering.</li></ul></div><div><ul><li>
2+ years of industry experience in software engineering.</li></ul></div><div><ul><li>
Experience in Python.</li></ul></div><div><ul><li>
Experience in applying CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure DevOps)</li></ul></div><div><ul><li>
Experience in API design principles, protocols, and tools (REST, GraphQL, Swagger, etc.)</li></ul></div><div><ul><li>
Experience in data system/ETL design principles, protocols, and tools (REST, GraphQL, Swagger, etc.)</li></ul></div><div><ul><li>
Experience developing infrastructure using Cloud services in GCP or similar cloud environment.</li></ul></div><div><ul><li>
Experience working with Docker and Kubernetes, or closely related containerization and cluster computing frameworks.</li></ul></div></div>
Preferred Qualifications:<div><ul><li>
Candidates with explicit experience working on machine learning orchestration in cloud or HPC environments (using MLFlow, Kubeflow, or similar) will be highly competitive.</li></ul></div><div><ul><li>
Technical leadership and experience leading development projects and/or teams is desirable but not required. Bonus points for demonstrated experience leading efforts in large programs involving multiple cross-functional teams/stakeholders.</li></ul></div><div><ul><li>
Experience upholding software/production best practices, as well as mentorship/coaching is strongly preferred. A willingness and demonstrated ability in these domains are sufficient.</li></ul></div><div><ul><li>
Experience with event-driven architectures and implementing event hooks/triggers in API systems. Familiarity with webhooks, message queues, and pub/sub systems. Ability to design API integrations that enable real-time data updates and notifications.</li></ul></div><div><ul><li>
Competitive candidates will be agile-minded, demonstrating clear proficiency in iterative software development and prototyping.</li></ul></div><div><ul><li>
Candidates who&rsquo;ve worked on Search products, vector databases, knowledge graphs, or other production AI/ML products&mdash;particularly with agentic interfaces and integrations&mdash;will be highly competitive.</li></ul></div>
#LI-GSK<ul><li>If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875.
</li></ul> 
The US salary ranges take into account a number of factors including work location within the US market, the candidate&rsquo;s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. 
 
If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at HR.AmericasSC-CS@gsk.com where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

AIML Services- Data Platform Engineer

Middesk

<div>About Middesk
Middesk makes it easier for businesses to work together. Since 2018, we&rsquo;ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List and cited as an industry leader in business verification by digital identity strategy firm, Liminal.
About Middesk Engineering:
Middesk is, at its core, a data company. We live by the quality of our data assets and the engine that powers them. We&rsquo;re on a mission to build a comprehensive and complete business dataset for every business in the world. As part of the Data Platform team at Middesk, you&rsquo;ll collaborate with Data Science, Infrastructure and Product Engineering teams to build and maintain our own proprietary Entity Resolution system used to power the Middesk business identity platform, scaling our system to resolve millions of business identities across hundreds of data sources and thousands of distinct data sets. You&rsquo;ll often work with and support product engineers looking to launch new products and features.
The Role:
We're looking for a senior engineer to own and drive the technical direction of our data platform. You'll design data infrastructure systems that operate reliably at scale, define the architecture for how we acquire, transform, and serve data to product teams, and partner closely with engineering leadership to align platform strategy with company priorities.
You'll be expected to independently scope complex projects from ambiguous problem statements, break them into incremental deliverables, and drive them to completion while keeping stakeholders informed and adapting when priorities shift. You'll also play a key role in elevating the engineering practices of the team through mentorship, code review, and setting technical standards.
What You'll Do:<ul><li>
Own platform architecture and technical direction for how we ingest, transform, and serve data across highly variable input formats - business entity data sourced from thousands of government agencies, registries, and third-party providers, each with its own schema, cadence, and reliability profile</li><li>
Design and build systems for scale - both the infrastructure we need today and the infrastructure we'll need at 2&ndash;5x our current volume</li><li>
Scope and drive complex projects end-to-end, breaking ambiguous problems into well-defined milestones with clear deliverables and timelines</li><li>
Design AI-powered tooling to improve how we acquire and maintain data using LLMs, AI agents, and agent orchestration</li><li>
Partner with product engineering, data science, and business teams to understand data needs and translate them into platform capabilities</li><li>
Establish and maintain data governance and quality standards across the platform, ensuring the integrity and reliability of the data our customers depend on for compliance and risk decisions</li></ul>
What We&rsquo;re Looking For:<ul><li>
7+ years of professional software engineering experience, with meaningful time spent on data infrastructure, data engineering, or backend platform work (targeting Senior to Staff Level Engineers)</li><li>
Experience designing and operating systems at meaningful scale, ideally within a larger or rapidly scaling engineering organization</li><li>
Track record of independently owning and delivering complex, multi-milestone projects - from scoping through launch</li><li>
Strong data modeling instincts and deep familiarity with SQL, pipeline orchestration (Airflow, Dagster, etc.), and data transformation patterns</li><li>
Experience with distributed data processing frameworks (Spark, Flink, Beam, or similar) and an understanding of when and how to apply parallelization to scale pipelines beyond single-node limits</li><li>
Proficiency in one or more of: Python, Ruby, JavaScript/TypeScript, Java</li></ul>
Nice to Haves:<ul><li>
Experience working with or building AI/LLM-powered tooling or data products (strongly preferred)</li><li>
Experience with scraper technologies, including agentic AI</li><li>
Experience building and designing collections stored on Elasticsearch</li><li>
Experience operating event-driven data pipelines using serverless compute (e.g., AWS Lambda, Google Cloud Functions, Azure Functions) and managed cloud services</li><li>
Experience with Terraform, Datadog, or Kubernetes</li></ul>
Compensation Range: $205K - $275K</div>

Software Engineer, Data Platform

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $163,200 - $223,200 a year
 
 
 The target base salary for this position ranges from $163,200/year to $223,200/year in San Francisco and New York.
 
 
 The base salary range listed for this full-time position excludes equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Software Engineer - Platform

Aarki

<div>
 
 Who are we?
 
 
 
 Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
 
 
 
 The role?
 
 
 
 We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
 
 
 
 What will you do?
 
 
 
 <ul>
 <li>
 Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
 </li>
 <li>
 Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
 </li>
 <li>
 Analyze the impact of integrating new data sources and features into our models.
 </li>
 <li>
 Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
 </li>
 <li>
 Document experiments, assumptions, and outcomes; maintain reproducibility
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or a related technical field.
 </li>
 <li>
 At least 2 years of professional experience in machine learning, statistical analysis, and data analysis.
 </li>
 <li>
 Experience with machine learning techniques such as regression, classification, and clustering.
 </li>
 <li>
 Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 Strong grasp of probability, statistics, and data analysis principles.
 </li>
 <li>
 Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
 
 
 </li>
 </ul>
 Nice-to-Have
 
 
 <ul>
 <li>
 Familiarity with system programming languages including C++ and Rust is a plus.
 </li>
 <li>
 Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
 </li>
 <li>
 Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.
 </li>
 </ul>
</div>

Machine Learning Engineer

KP Reddy

<div>
 
 About The Job
 
 
 
 Here, we partner with forward-thinking organizations in the AEC (Architecture, Engineering, and Construction) industry to push the boundaries of how the built environment is designed and delivered. As the premier full-service management advisory firm exclusively focused on the built world, we combine domain expertise with leading-edge technology strategy to solve real problems at scale.
 
 
 We are seeking a Software Engineer - Full Stack to help build, refine, and maintain production-grade software that supports AEC workflows. You'll work alongside senior engineers to develop robust backend services, create responsive web interfaces, and ensure our systems meet the reliability demands of enterprise clients. This role emphasizes learning, ownership, and steady growth&mdash;you'll start by contributing to existing systems and progressively take on more complex challenges as you develop expertise.
 
 
 This is an ideal opportunity for a recent graduate who wants to apply full-stack development skills in a high-impact industry context, working with modern cloud infrastructure, AI-integrated systems, and real-world data pipelines.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain full-stack features using React frontends and Python backend services, following established architectural patterns and coding standards.
 </li>
 <li>
 Write clean, well-tested, and documented code that meets production quality standards for enterprise AEC applications.
 </li>
 <li>
 Collaborate with senior engineers to troubleshoot, debug, and resolve issues across the stack, contributing to system reliability and performance.
 </li>
 <li>
 Build and consume RESTful APIs that integrate with internal services and third-party AEC tools.
 </li>
 <li>
 Participate in code reviews&mdash;both giving and receiving constructive feedback to improve code quality and personal growth.
 </li>
 <li>
 Contribute to containerized microservices deployed on AWS, gaining hands-on experience with cloud-native development practices.
 </li>
 <li>
 Support data pipelines and integrations that process AEC project data, documents, and workflows.
 </li>
 <li>
 Document technical implementations, contribute to runbooks, and help maintain internal knowledge bases.
 </li>
 <li>
 Participate in agile development processes, including sprint planning, standups, and retrospectives.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (recent graduates welcome).
 </li>
 <li>
 Solid foundation in data structures, algorithms, and object-oriented programming principles.
 </li>
 <li>
 Proficiency in Python with experience building backend services or APIs.
 </li>
 <li>
 Experience with React.js and modern JavaScript/TypeScript for frontend development.
 </li>
 <li>
 Familiarity with relational databases (PostgreSQL, MySQL) and writing SQL queries.
 </li>
 <li>
 Basic understanding of Git workflows and collaborative development practices.
 </li>
 <li>
 Exposure to containerization concepts (Docker) through coursework, projects, or internships.
 </li>
 <li>
 Strong problem-solving skills and a willingness to learn in a fast-paced environment.
 </li>
 <li>
 Excellent communication skills and ability to work effectively in a collaborative team setting.
 
 
 </li>
 </ul>
 
 Preferred Qualifications (A Plus, Not a Requirement)
 
 
 
 <ul>
 <li>
 Internship or project experience with full-stack application development.
 </li>
 <li>
 Familiarity with at least one major cloud platform (AWS, Azure, or GCP).
 </li>
 <li>
 Experience with testing frameworks and writing unit/integration tests.
 </li>
 <li>
 Exposure to CI/CD concepts and tools (GitHub Actions, Jenkins, or similar).
 </li>
 <li>
 Knowledge of GraphQL or experience designing API contracts.
 </li>
 <li>
 Coursework or projects involving distributed systems, databases, or cloud computing.
 </li>
 <li>
 Any exposure to the AEC industry, CAD/BIM tools, or construction technology.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Gain
 
 
 
 <ul>
 <li>
 A structured path to grow from junior engineer to mid-level and beyond, with mentorship from experienced engineers and technical leaders.
 </li>
 <li>
 Hands-on experience building and maintaining production systems that serve real enterprise clients in the AEC industry.
 </li>
 <li>
 Exposure to modern development practices including containerization, cloud-native architecture, CI/CD pipelines, and observability.
 </li>
 <li>
 The opportunity to work on diverse technical challenges spanning web applications, data processing, and AI-integrated systems.
 </li>
 <li>
 A collaborative environment that values learning, experimentation, and pragmatic problem-solving.
 </li>
 <li>
 Direct impact on products that influence how buildings and infrastructure are designed and delivered.
 
 
 </li>
 </ul>
 
 Why us?
 
 
 
 Here, young engineers aren't relegated to bug fixes and maintenance tickets&mdash;you'll be a contributing member of a team building technology that transforms a $10 trillion global industry. We believe in learning by doing, and you'll have real ownership of features and systems from day one. Our senior engineers are committed to mentorship, providing guidance while giving you the autonomy to grow. You'll work on problems that matter, using modern tools and practices, in an environment that rewards curiosity and initiative.
 
 
 If you're a recent graduate eager to build production software, learn from experienced engineers, and make an impact in an industry ripe for transformation, we want to hear from you.
 
 
</div>

Software Engineer - Full Stack

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe&rsquo;s Digital Experience enterprise customers.
 
 
 Customer facing Engineers who enjoy tackling complex technical challenges, have a passion for delighting customers and who are self-motivated to push themselves in a team oriented culture will thrive in our environment
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions &amp; build required technology stack
 </li>
 <li>
 Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions
 </li>
 <li>
 Develop new features and improve existing data integrations with customer data ecosystem
 </li>
 <li>
 Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles.
 </li>
 <li>
 Collaborate with a Project Manager to bill and forecast time for customer solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience as an enterprise Data Engineer from a consulting background
 </li>
 <li>
 AWS Certified Data Engineer &ndash; Associate or AWS Certified Cloud Practitioner
 </li>
 <li>
 5+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
 </li>
 <li>
 7+ years experience in Python programming language preferably using PySpark
 </li>
 <li>
 Software development experience working with Apache Airflow, MongoDB, MySQL
 </li>
 <li>
 Strong capacity to manage numerous projects are a must
 </li>
 <li>
 Experience using Docker or Kubernetes is a plus
 </li>
 <li>
 BS/MS degree in Computer Science or equivalent industry experience
 </li>
 <li>
 Ability to identify and resolve problems associated with production grade large scale data processing workflows
 </li>
 <li>
 Excellent communication skills (we&rsquo;re a geographically distributed team)
 </li>
 <li>
 Experience creating and maintaining unit tests and continuous integration.
 </li>
 <li>
 Passion for creating Intelligent data pipelines that customers love to use.
 
 
 </li>
 </ul>
 Special Consideration given for
 
 
 <ul>
 <li>
 Experience &amp; knowledge with Web Analytics or Digital Marketing
 </li>
 <li>
 Experience &amp; knowledge with Customer Data Platform (CDP) or Data Management Platform (DMP)
 </li>
 <li>
 Experience &amp; knowledge with Adobe Experience Cloud solutions
 
 
 </li>
 </ul>
 Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $114,100 -- $214,950 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
 
 In California, the pay range for this position is $148,500 - $214,950 In New York, the pay range for this position is $148,500 - $214,950 In Washington, the pay range for this position is $135,100 - $195,550
 
 
 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
 
 In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
 
 
 State-Specific Notices:
 
 
 
 
 California:
 
 
 
 
 Fair Chance Ordinances
 
 
 
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
 
 
 
 Colorado:
 
 
 
 
 Application Window Notice
 
 
 
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</div>

Data Engineer

MERCOR

<div>A prestigious tech company is seeking a Software Engineer II to join their Safe Ads Experiences (SAE) team. This team is building the next-generation data collection platform SPECTRA, which will shape the future of how human-labeled data is collected and used in the company's systems. The role offers the opportunity to impact responsible advertising, user data privacy, and public trust through data-driven insights.
Responsibilities<ul><li>
Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform, ensuring robust end-to-end functionality and meeting project release timelines
</li><li>Design and develop data processing pipelines using SQL and Python to handle large-scale data collection, transformation, and quality monitoring workflows
</li><li>Build and maintain dashboards and visualization tools to provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams
</li><li>Create comprehensive end-to-end tests and monitoring alerts to ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow
</li><li>Debug and troubleshoot complex data flow issues across the SPECTRA platform, identifying root causes and implementing solutions to maintain high system availability
</li><li>Collaborate closely with Technical Leads and engineering teams to implement backend data processing logic and ensure adherence to development standards and best practices
</li><li>Partner with Product Data Operations (PDO) teams to coordinate human labeling workflows, budget planning, vendor management, and rater performance optimization
</li><li>Work with Taxonomists and Data Labeling Analysts to ensure proper data classification, labeling guidelines implementation, and quality assurance processes
</li><li>Coordinate with vendor partners to support external data collection operations, ensuring seamless integration with SPECTRA's multi-review and quality monitoring systems
</li><li>Support smart sampling initiatives and targeted data collection strategies that have delivered significant cost savings and improved data quality across advertising systems
</li></ul>Qualifications<ul><li>
Experience in SQL development writing complex queries, data transformations, and working with large datasets in production environments
</li><li>Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles
</li><li>Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows
</li><li>Hands-on experience with data visualization and dashboard tools such as Tableau or similar platforms for creating actionable insights from large datasets
</li><li>Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions
</li><li>Experience with data quality monitoring and automated testing frameworks to ensure data accuracy, completeness, and reliability
</li></ul><div>Preferred Qualifications: 
<ul><li>Degree in Computer Science or related field</li><li>Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics</li><li>Experience building and scaling large products or systems</li><li>Experience with building privacy and ads-related products is a big plus</li><li>Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations</li><li>Prior experience working with the company or its internal tools is a plus
</li></ul></div>Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
About Cincinnatus
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.
Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.
Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus.
Equal Employment Opportunity
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.
Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.</div>

Software Engineer II

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