Data Engineer jobs at Univision Communications

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of cutting edge Machine Learning products our customers demand. Key job responsibilities - Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers. - Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices. - Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment. - Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing. A day in the life The MLA Chassis Software team was formed to focus on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, and device control are our bread and butter. Some of us know what a Tensor is but really it's not what we do. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalent - Experience writing software for DDR/HBM controllers and PHYs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ********************************************* *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent - 5+ years of non-internship professional software development experience - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Master's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. 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 and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Role: Sr. Data Modeler The Senior Database Designer is responsible for building the organization's enterprise data models and database structures. The role is responsible for conceptual, logical, and physical data modeling that supports operational systems, analytical workloads, and harmonized data domains within the enterprise data ecosystem. The position will partner closely with business SMEs, data engineering, governance, and analytics teams to ensure that data structures are documented, standardized, scalable, performant, and aligned to corporate governance policies and integration standards. The successful candidate will bring deep expertise in dimensional and relational modeling, strong proficiency with modern cloud data platforms, and the ability to drive modeling best practices across the organization. Key Responsibilities Enterprise Data Modeling and Architecture • Lead the design and delivery of conceptual, logical, and physical data models for enterprise data domains and data products (operational and analytic). • Develop harmonized, reusable, and governed data models that support single-source-of-truth design principles. • Establish and maintain modeling standards, including naming conventions, dimensional modeling patterns, SCD2 strategies, surrogate key methodologies, lineage documentation, and data enrichment frameworks. • Design models to support high-volume incremental ingestion (CDC), complex history tracking, and auditable data transformations. • Produce and maintain full metadata and lineage documentation through approved tools (e.g., ER/Studio, Unity Catalog). Integration, Data Engineering Enablement, and Delivery • Create detailed source-to-target mappings aligned to model definitions and business rules to support data engineering development. • Partner with data pipeline engineering to validate build quality, ensure model fidelity in pipelines, and support UAT and performance testing. • Contribute to database and datamart design for analytics solutions, including fact and dimension architectures, semantic layers, and data consumption optimization. Performance, Quality, and Governance • Validate data model performance characteristics; recommend indexing, partitioning, and clustering strategies for the data platform. • Collaborate with Data Governance to ensure data definitions, standards, quality rules, and ownership are aligned to enterprise data strategy. • Design models emphasizing security classification, access permissions, compliance obligations, and auditability. Stakeholder Engagement • Serve as a trusted advisor to product owners, business leaders, and analytics users, translating business requirements into data structures that support meaningful insights. • Communicate tradeoffs and design alternatives when evaluating new use cases or changes to the enterprise model. • Contribute to roadmap planning for enterprise data domains and long-term architectural evolution. Qualifications • Required o Bachelor's or Master's degree in Computer Science, Information Systems, or a related discipline. o 7+ years of progressive experience in data modeling, database design, and data architecture. o Demonstrated expertise with relational and dimensional modeling (3NF and star schema design). o Proficiency with cloud-based modern data stack environments (Azure preferred; Databricks experience highly valued). o Strong proficiency with SQL for model validation, profiling, and optimization. o Experience with data modeling tools such as ER/Studio, ERwin, DB Schema, or equivalent. o Hands-on experience supporting data warehouses, datamarts, and metadata-driven modeling approaches. o Experience supporting data ingestion and CDC design patterns and SCD2 data history strategy. o Strong attention to detail regarding data quality, lineage, governance, and documentation. o Excellent communication skills with proven ability to clearly articulate design rationale to technical and non-technical audiences. • Preferred o Experience in the insurance or financial services industry with knowledge of policy, client, and revenue data structures. o Familiarity with ETL/ELT orchestration tools (Fivetran, Airflow, MuleSoft) and distributed processing frameworks (Spark). o Experience with semantic modeling layers (e.g., Tableau semantic layer, dbt metrics, or similar). o Certification in cloud platforms (Azure Data Engineer, AWS Data Analytics, or equivalent).

About the Team The DevOps team is responsible for supporting the development teams and interfacing with the infrastructure teams. As a DevOps engineer, you'll have the exciting opportunity to work in a fast-paced, entrepreneurial environment. What You'll Do Drive the design, engineering, integration, and enhancements of DevOps enablement tools and applications by utilizing Site Reliability and DevOps principles suited for an on-prem environment Follow software development processes and practices (Functional Specification and Testing, Design Specifications, Code Reviews, Unit Testing, Monitoring) Document and maintain processes and procedures Implement and support established Continuous Integration / Continuous Delivery (CI/CD) practices Mentor and train the Technology team on tools that increase the use of automation and improve stability, advocating solutions Evaluate new technologies and explore their applicability to address new requirements in our environment Skills and Experience Bachelor's Degree in computer science, software engineering or related field 3+ years of total IT experience 3+ years of development experience in either Python, C#, Java Experience building, deploying and maintaining container images (e.g., Docker, Kubernetes) Experience with one or more configuration management tools (e.g., Ansible, Terraform, Git, Bash) Familiarity with DevOps practices and Site Reliability Engineering processes and tools (e.g., InfluxDB, Grafana, PagerDuty, REST, Prometheus) Experience with system administration, such as provisioning and managing servers, deploying database, security monitoring, system patching and managing internal and experience network connectivity What does it take to be successful in this role? Excellent problem-solving skills, soft skills, quality, and delivery mindset Strong communicator and collaborator Ability to thrive in a fast paced, start-up environment with individuals in dispersed locations Self-starter, results driven individual with a proven track record Comfortable with navigating ambiguity and translating it to impactful results What are some skills to make you stand out? Experience with trading strategies for securities, options, crypto and trading platforms Experience with big data and distributed systems (e.g., Kafka, Cassandra) Ability to demonstrate your ability to integrate different software using code (e.g., Python, shell, C#, Java)

Job Title: DevOps Engineer with Application Support experience [DevOps, SRE, AWS] @ Jersey City. Experience Level - 8+ Years RTTO - 5 Days Onsite JD- Application Support engineer requirements [DevOps, SRE, AWS] @ Jersey City. Key responsibilities: · Provide operational support in a 24/7 team environment, primarily covering the Easter Standard Time [EST] shift. Candidates must demonstrate flexibility to work other time zones and shifts when needed, including weekends or non-standard hours, to ensure continuous team coverage. While we value empathy for work-life balance, adaptability and responsiveness during peak demand and critical incidents are essential. · Incident management, change management and release management for production and lower environments. · Collaborate closely with cross-functional teams and clients across US and international time zones. · Perform hands-on troubleshooting , monitoring and technology support for payments platform. · Write scripts, queries and automation - Unix, database (RDS, Postgres, Oracle), Terraform, AWS. · Support centralized, co-located team operations in Jersey City. · Assist in onboarding new technologies and integrating anomaly detection platforms. · Participate in regular, in-person interviews, team reviews, and probation evaluation exercise. Must have criteria: · Experience: Minimum 7-8 years in the technology domain, ideally in financial services or payment systems. · DevOps & SRE: Strong hands-on ability, deep understanding of release, incident and Change management. Technical skills: o Advanced AWS experience (Certification is a plus), hands-on with RDS, Postgre, Oracle. o Proficient in Terraform and HashiCorp toolsets. o Strong Unix/Database scripting ability. · Operational Flexibility: Willing and able to support round-the-clock operations, including weekends and overnight shifts as needed. · Communication & Attitude: Outstanding verbal and written communication, resilient and pro-active under pressure, positive team player. · Location: Willingness to work onsite five days a week in Jersey City. Nice to have skills: · Experience with Anomaly detection, AI integrations, or Machine learning. · Knowledge of blockchain platforms or related technologies. · Exposure to financial compliance norms and multi region client engagements. · Prior work in payments or relevant fintech environments.

TOP MUST HAVES: Experience with overseeing Azure and AWS infrastructures Windows servers experience must be US Citizen Job Title: Cloud Engineer Job Summary: We are seeking a skilled and motivated Cloud Engineer to join our IT team. The ideal candidate will have hands-on experience managing both Azure and AWS cloud environments, with a focus on configuring, deploying, and maintaining cloud infrastructure to support business operations efficiently and securely. The Cloud Engineer will play a critical role in optimizing cloud resources and minimizing costs while ensuring that our cloud-based services are scalable, reliable, and secure. Key Responsibilities: Cloud Infrastructure Management: Design, implement, and manage cloud infrastructure across Azure and AWS platforms. Provision, monitor, and maintain resources, including virtual machines, databases, storage, networking, and other cloud services. Ensure cloud architecture is scalable, secure, and supports high availability and disaster recovery. Cost Optimization: Monitor and optimize cloud costs by identifying unused or underutilized resources and making recommendations for cost-saving opportunities. Implement cost management tools and best practices to control cloud expenditures across AWS and Azure environments. Automation and Orchestration: Develop and maintain infrastructure as code (IaC) using tools like Azure Resource Manager (ARM) templates. Automate routine cloud infrastructure tasks to improve efficiency and reduce manual intervention. Security and Compliance: Implement security best practices and governance to protect cloud assets, including identity and access management (IAM), network security, encryption, and data protection. Ensure cloud environments are compliant with relevant regulations and organizational security policies. Performance Monitoring and Troubleshooting: Monitor system performance and usage to ensure optimal functionality and uptime. Troubleshoot cloud infrastructure issues and work with internal teams to resolve problems promptly. Collaboration and Documentation: Collaborate with development, operations, and security teams to ensure seamless integration of cloud resources. Maintain up-to-date documentation for cloud infrastructure, configurations, and processes. Qualifications: Education: Bachelors degree in Computer Science, Information Technology, or a related field. Equivalent work experience may be considered. Experience: 3-5 years of experience managing cloud infrastructure on Azure and AWS platforms. Strong understanding of cloud cost optimization techniques and tools. Skills: Proficiency in cloud security, networking, and performance optimization. Hands-on experience with cloud monitoring and management tools (e.g., Azure Monitor, AWS CloudWatch). Familiarity with scripting and automation using PowerShell, Python, or similar languages. Strong problem-solving skills and ability to troubleshoot complex issues. Certifications: Relevant certifications such as AWS Certified Solutions Architect, Azure Administrator, or Cloud Practitioner preferred. Soft Skills: Strong communication and collaboration skills. Ability to work independently and as part of a team in a fast-paced environment. Attention to detail and a proactive approach to problem-solving. “Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.” “Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ******************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance”

Our client, a well-funded and successful Series B Health tech startup is searching for a Senior/Lead Software Engineer to help them build a brand new service line to add to their existing product. This is an incredibly impactful role with the chance to build a product from 0-1, & also help connect patients with life-saving clinical trials and programs! This is a hybrid role near Bryant Park in NYC - please take this into consideration when applying. They do have a dog friendly office & unlimited PTO! Responsibilities: Create a brand new software product using Node, Typescript & React Lead the entire build from design to deployment - working with a small team of developers Hands on code, as well as lead code reviews & translate requirements into roadmaps and deliverables Collaborate with GM, Director of Product and engineering team Qualifications: 6+ years of Full-stack engineering experience in Typescript, Node, & React or Next.js Experience building products from 0-1 in small teams This is a hands on coding role - some engineering leadership is great, but this person will not be a "people manager" High agency worker who thrives in autonomous environments - must be comfortable owning and managing technical roadmaps Experience designing and scaling microservices architectures in AWS, GCP, Azure Experience in Health tech is a huge plus - especially familiarity with EHR integrations Compensation for this role ranges from $190-220k + potential bonus/equity. If you are interested, please apply! This opportunity unfortunately cannot sponsor visas at this time.

Role: Senior Cloud Developer This is a senior-level cloud engineering + full-stack development + data engineering hybrid role. ✔ Main Focus Areas Cloud Development (AWS preferred) Work on cloud migration, cloud-native apps, API development Use AWS services like Aurora, Glue, Redshift, Kafka, ROSA, OpenShift, Kubernetes, Docker Full Stack Engineering Backend: Java, Python, Spring Boot, Quarkus, Microservices Frontend: Angular DB: DB2, PostgreSQL, MongoDB, Oracle API design + development (REST, microservices) Data Engineering / Streaming Work with streaming systems like Kafka Handle real-time data, JSON parsing Extract data from Oracle/DB2/MySQL/etc. DevOps & CI/CD Automate deployments using Jenkins, Ansible Work with container platforms: Docker, Kubernetes, OpenShift Soft Skills Strong communication Ability to collaborate Debugging, troubleshooting Handle complex multi-system integrations

Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain's New York Business and Los Angeles Business Journal. Together we are building a place of belonging. At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. Overview Horizon Media is seeking a hands-on Principal Data Engineer to join our growing data engineering team. Reporting to the VP of Architecture & Data Engineering, you will play a critical role in building and maintaining robust, scalable, and efficient data pipelines that power analytics, reporting, and data-driven decision-making across the organization. This role is deeply embedded in our modern data stack-leveraging tools like Snowflake, dbt Cloud, Fivetran, and Python. You will work closely with analysts, data scientists, and engineering peers to ensure our data systems are fast, reliable, and ready to meet business demands. Key Responsibilities Build and maintain end-to-end data pipelines using dbt, Snowflake, and Python Develop modular, testable, and well-documented SQL-based data models in dbt Integrate data from multiple sources using Fivetran and custom ingestion scripts Write and optimize complex SQL queries for performance and scalability Implement data quality checks, monitoring, and alerting to ensure pipeline reliability Collaborate with cross-functional teams to understand data needs and deliver clean, well-structured datasets Support production workflows through CI/CD pipelines and version control (Git) Troubleshoot pipeline failures and performance issues quickly and effectively Contribute to documentation and improve internal standards and tooling Qualifications 6-10 years of hands-on experience in data engineering or a similar role Strong experience working with Snowflake and dbt in production environments Proficient in SQL (advanced level) and Python for data transformation and automation Experience working with Fivetran or similar data ingestion platforms Familiarity with CI/CD tools and Git-based development workflows Understanding of data modeling principles (e.g., dimensional models, star/snowflake schemas) Experience working in cloud environments, preferably AWS Strong attention to detail, with a passion for clean, maintainable data systems Excellent problem-solving skills and a collaborative mindset Nice to Have Experience with orchestration tools like Airflow or Dagster Familiarity with data testing frameworks (e.g., dbt tests, Great Expectations) Exposure to media, advertising, or marketing data Technical Skills dbt Cloud, Snowflake, Fivetran SQL, Python Git, CI/CD workflows AWS (S3, Lambda, etc.) #LI-KG1 #LI-HYBRID #HM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $180,000.00 - $230,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

Curinos is hiring a Senior Data Engineer to join our Acquire Product team. This team is building a next generation B2B SaaS application that empowers financial institutions to attract customers aligned to their portfolio strategy across products. You'll work with a diverse team of talented engineers, AI and ML scientists, and product managers to deliver data-driven and high-quality software solutions that meet the needs of our clients. Responsibilities: You'll work with product and engineering teams to: * Design, build, and maintain scalable and reliable data pipelines, including ingestion, storage, validation, governance, monitoring, and ELT patterns * Proactively identify opportunities and implement solutions to optimize pipeline operations and reduce manual work * Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code * Maintain and evangelize high standards in software and data engineering best practices (SDLC, testing, scaling, performance) * Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources to support the development and delivery of cutting-edge ML models and interactive application * Proactively identify and implement new technologies and improve our reusable tools * Conduct code reviews and provide feedback * Participate in agile ceremonies * Stay current with emerging technologies and industry best practices Salary Range: $110,000 to $140,000 (plus bonus)

Hiring Manager: [Fardad Golshany] - Senior Data Engineer ✨ TL;DR - Why This Role Matters We're looking for a data engineer with deep experience in analytics engineering and BI development to build the data infrastructure that powers decision-making across Scribe's 5M+ users and Fortune 500 customers. You'll architect scalable data marts in Snowflake using dbt, modernize our orchestration layer (Dagster/Airflow), improve data governance and monitoring with Metaplane, and enable AI-powered self-serve analytics in Sigma. This is a hands-on role where you'll shape the data foundation that scales us from 5M to 50M users and beyond. 📌 About the Role As a data engineer focused on analytics and BI engineering at Scribe, you will: Work with the Data Engineering team and report to Fardad Golshany, partnering closely with Engineering, Product, GTM, and Finance teams Design and build scalable analytics data marts in Snowflake using dbt that enable data science and insights across multiple business domains Maintain existing data pipelines and build new ETL and reverse ETL workflows to ensure reliable data movement across systems Stand up and scale orchestration infrastructure using Dagster or Airflow, implementing monitoring and alerting via Metaplane Build dynamic executive-facing dashboards in Sigma to reduce time to insight and enable AI-powered self-serve analytics Establish data governance standards with automated testing, comprehensive documentation, and semantic definitions that reduce ad-hoc queries Optimize dbt pipeline performance by implementing incremental models, improving materializations, and applying engineering best practices 🌎 Location While we hire from almost anywhere in the world, our HQ is in beautiful San Francisco, California. For this role, we expect you to live in or near San Francisco and work from the office 3 days per week. Our Data Engineering team is distributed between San Francisco and New York City. For highly experienced candidates who can operate independently, we may consider remote in one of these hubs. 🧩 What Makes You a Great Fit You have 4+ years building production data pipelines and analytics infrastructure in cloud-native environments, with deep expertise in SQL and data transformation at scale You bring advanced production experience with dbt (2+ years), including writing macros, packages, and implementing best practices, plus hands-on experience with Snowflake performance tuning and cost optimization You have production experience with orchestration tools (Dagster or Airflow) and understand DAG design, dependency management, and monitoring You've built executive-level dashboards and BI solutions in Sigma (or similar tools) and understand how to structure semantic layers and optimize data models for AI-powered analytics You understand dimensional modeling and analytics architecture - designing data marts, fact/dimension tables, and semantic layers comes naturally to you You work autonomously and drive complex projects end-to-end, thriving in ambiguity while communicating clearly with business stakeholders across all levels If you're reading this thinking "that's me!", we want to meet you! 👋 About us Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to ensure work gets done right, and see how to do it even better. Our Workflow AI platform automatically captures and optimizes workflows so teams work smarter, faster, and more consistently. We're growing fast - since our founding in 2019, we've grown to over 5 million users across 600,000 businesses. Based in San Francisco, we've been named a LinkedIn Top Startup, are valued at over $1 billion, and are backed by leading investors. Join us in our mission to uplevel how people do work. 🛠 How we work We are builders aspiring to master our crafts. We care deeply about our teammates and want to win, together. We fully embrace the following values: Accelerate impact Raise the bar Make our users heroes Clear is kind Rapid learning machine One team one dream 💰 Compensation We use trusted market data and a tiered location system to ensure competitive, equitable pay. The range below reflects this; your specific offer will depend on experience, pay parity, and location. $127,000 - $180,000 + Equity + Benefits 🎁 Full-Time US Employee Benefits Include Incredible teammates: Work alongside some of the nicest and smartest people you'll ever meet. Ownership mindset: We're all owners here, literally. Employees receive equity in Scribe, sharing in the company's long-term success. Comprehensive coverage: We offer health, dental, and vision insurance for you and your dependents. Time to recharge: Flexible paid time off, plus company holidays to rest and reset. Retirement planning: Employees can contribute to a 401(k) plan to help plan for their future. Support for growing families: Paid parental leave to help you care for and bond with your growing family. Lunch, on us: SF-based employees receive daily catered lunches at our office. Easy commutes: Commuter benefits for our office-based team, make getting to and from HQ simpler. Level up your home office: Remote? Hybrid? Wherever you work, we'll support your setup with a home office stipend. At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Scribe is proud to be an Equal Opportunity and Affirmative Action Employer.

At Rain, we're rebuilding the global financial pipes money flows through. Our infrastructure makes stablecoins usable in the real world by powering credit card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. If you're curious, bold, and excited to help shape a borderless financial system, we'd love to talk. Our Ethos Operating at the epicenter of stablecoin innovation means moving fast and thinking globally. Our team reflects the diverse, international audiences we serve. We hire people who stay agile as the tide ebbs and flows, fix what's broken without waiting, chase trends before they peak, and remember to have fun through it all. About the Role We're looking for Rain's first dedicated Data Engineer-a hands-on builder who will architect the ingestion, pipelines, and infrastructure that power our data ecosystem. As Rain scales to millions of end users across payments, card programs, and blockchain rails, your systems will ensure every team has access to timely, accurate, and trustworthy data. Reporting to the CTO and partnering closely with Analytics, Operations, Product, Compliance, and BD, you will own Rain's data pipelines end-to-end: from ingesting raw transaction and blockchain data, to orchestrating transformations, to ensuring quality, observability, and reliability. This role is foundational-you'll be shaping the data backbone that underpins analytics, customer reporting, operational tooling, and on-chain integrations. If you love building in fast-moving environments, care deeply about data quality, and want to own core infrastructure at the heart of a modern fintech, this role is for you. What You'll Do Design, build, and maintain Rain's core data pipelines, including ingestion from payments processors, card issuers, blockchain nodes, internal services, and third-party APIs. Own orchestration and workflow management, implementing Airflow, Dagster, or similar tools to ensure reliable, observable, and scalable data processing. Architect and manage Rain's data warehouse (Snowflake, BigQuery, or Redshift), driving performance, cost optimization, partitioning, and access patterns. Develop high-quality ELT/ETL transformations to structure raw logs, transactions, ledgers, and on-chain events into clean, production-grade datasets. Implement data quality frameworks and observability (tests, data contracts, freshness checks, lineage) to ensure every dataset is trustworthy. Partner closely with backend engineers to instrument new events, define data contracts, and improve telemetry across Rain's infrastructure. Support Analytics and cross-functional teams by delivering well-modeled, well-documented tables that power dashboards, ROI analyses, customer reporting, and key business metrics. Own data reliability at scale, leading root-cause investigations, reducing pipeline failures, and building monitoring and alerting systems. Evaluate and integrate new tools across ingestion, enrichment, observability, and developer experience-raising the bar on performance and maintainability. Help set the long-term technical direction for Rain's data platform as we scale across new products, regions, and chains. Who You Are Data infrastructure builder - You thrive in early-stage environments, owning pipelines and platforms end-to-end and choosing simplicity without sacrificing reliability. Expert data engineer - Strong Python and SQL fundamentals, with real experience building production-grade ETL/ELT. Workflow & orchestration fluent - Hands-on experience with Airflow, Dagster, Prefect, or similar systems. Warehouse & modeling savvy - Comfortable designing schemas, optimizing performance, and operating modern cloud warehouses (Snowflake, BigQuery, Redshift). Quality-obsessed - You care deeply about data integrity, testing, lineage, and observability. Systems thinker - You see data as a platform; you design for reliability, scale, and future users. Collaborator - You work well with backend engineers, analytics engineers, and cross-functional stakeholders to define requirements and deliver outcomes. Experienced - 5-7+ years in data engineering roles, ideally within fintech, payments, B2B SaaS, or infrastructure-heavy startups. Nice to Have Experience ingesting and processing payments data, transaction logs, or ledger systems. Exposure to smart contracts, blockchain data structures, or on-chain event ingestion. Experience building data tooling for compliance, risk, or regulated environments. Familiarity with dbt and/or semantic modeling to support analytics layers. Prior experience standing up data platforms from 0→1 at early-stage companies. Benefits Our team works hard, so we make sure our benefits do too. Here's what you can expect as a Rainmaker: Top-tier coverage: We cover 95% of Medical, Dental, and Vision premiums. 401(k) with matching: Invest in your future, just like we're investing in ours. Ownership that matters: Every team member gets equity because we believe in building together. Work your way: Flexible hybrid setup with a prime SoHo office for NYC-based teammates. Unlimited PTO: Because time to rest and reset is just as important as time to ship. Product-first perks: Monthly budget to test our cards and features like a real user. Wellness support: Monthly stipend to spend on fitness, therapy, or whatever keeps you thriving. Home office setup: One-time stipend to create a space that works for you. Team connection: Frequent company events, team dinners, and offsites to stay connected.

We believe shopping should feel like winning. That's why 10 million people come to Slickdeals to swap tips, upvote the best finds, and share the thrill of a great deal. Together, our community has saved more than $10 billion over the past 26 years. We're profitable, passionate, and in the middle of an exciting evolution-transforming from the internet's most trusted deal forum into the go-to daily shopping destination. If you thrive in a fast-moving, creative environment where ideas turn into impact fast, you'll fit right in. The Purpose: We're seeking a seasoned Data Engineer to join our high-impact team at Slickdeals. This role will inherit and evolve a mature data ecosystem built over 3+ years, spanning Databricks, dbt, Airflow, AWS, Tableau, and AtScale. You'll be responsible for maintaining and modernizing core pipelines, enabling analytics and reporting, and supporting cost-conscious, scalable data infrastructure. What You'll Do: Own and maintain ETL/ELT pipelines using dbt, Airflow, and Databricks Develop and optimize data models in AtScale to support BI tools like Tableau Collaborate with Analytics, Product, and Engineering teams to deliver reliable, timely data Monitor and troubleshoot data workflows, ensuring high availability and performance Support cloud infrastructure in AWS, including S3, Kafka, EC2, Lambda, and IAM policies Contribute to cost optimization efforts across data storage, compute, and tooling Document systems, processes, and tribal knowledge for continuity and onboarding Participate in code reviews, architecture discussions, and team rituals What We're Looking For: Required Experience: BS/BA/BE degree in a quantitative area such as mathematics, statistics, economics, computer science, engineering, or equivalent experience. 8+ years of experience in data engineering or analytics engineering Strong proficiency in SQL, Python, and dbt Hands-on experience with Databricks, Airflow, and AWS Familiarity with semantic modeling tools Experience building dashboards and supporting BI teams using Tableau Understanding of data governance, security, and compliance best practices Excellent communication and documentation skills Comfortable working in a fast-paced, collaborative environment Always curious and a continuous learner Preferred Experience: Experience with cost monitoring tools or FinOps practices Familiarity with vendor integrations and API-based data sharing Exposure to AtScale, Tableau, or other modern data platforms Passion for mentoring and knowledge sharing Please note: We are unable to sponsor visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship or transfer. LOCATION: Las Vegas, NV Hybrid schedule visiting our Las Vegas office three days a week (Tues-Thurs). Slickdeals Compensation, Benefits, Perks: The expected base pay for this role is between $122,000 - $150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Exact compensation will be discussed during the interview process and tailored to the candidate's qualifications. Competitive base salary and annual bonus Competitive paid time off in addition to holiday time off A variety of healthcare insurance plans to give you the best care for your needs 401K matching above the industry standard Professional Development Reimbursement Program Work Authorization Candidates must be eligible to work in the United States. Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application. Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work. Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees.

We are looking for a Data Engineer to support data validation and analysis for a backend replatform project. This role will allow us to accelerate the feedback loop between data and engineering teams in order to deliver the full scope of financial market data with the required timeliness, accuracy and completeness to satisfy product needs. You Will + Design and build automated solutions for the validation of large data sets that would otherwise require manual effort + Partner with subject matter experts on both data and engineering teams to troubleshoot suspect data results + Write clean and readable code and optimized SQL queries. + Export results of analysis into Microsoft Excel or Google Sheets + Provide detailed analysis on data You Have + Technical degree or equivalent experience, preferably in combination with a Finance or Business field + 0-2 years of experience in SQL and Python with applications for data analysis. + Strong analytical skills for identifying data patterns and troubleshooting issues + Excellent written and verbal communication skills + Experience in delivery through agile practices + An openness to different views and opinions and an appreciation for team diversity Preferred + Experience with version control systems like Git + Experience with cloud services including AWS and GCP Work location + Princeton + Hybrid: 2 days onsite per month Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at *******************************. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Business Area: Dow Jones - Data & AI Job Category: Data Analytics/Warehousing & Business Intelligence Union Status: Non-Union role Pay Range: $70,000 - $85,000 We recognize that attracting the best talent is key to our strategy and success as a company.As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates.The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process. Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice. For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce.. Since 1882, Dow Jones has been finding new ways to bring information to the world's top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron's, MarketWatch and Financial News. This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day. Req ID: 50493

About OUTFRONT We are one of North America's most innovative media companies. We leverage the power of creative excellence, unbeatable locations and smart audience data to change the game for advertisers. Our purpose as a company is to help people, places and businesses grow stronger. To do this, we make meaningful connections between brands and people when they are outside of their homes through one of the largest and most diverse sets of out-of-home assets including billboards, transit and mobile displays across the U.S. We connect diverse audiences across over 150 markets and conduct our business considering all our stakeholders, from clients and employees, to the communities where we operate. We are committed to creating a diverse and inclusive work environment that promotes the growth of our people. Come join our industry-leading team! What We Offer OUTFRONT offers a comprehensive benefits program including: Medical, Dental, Vision (including same and opposite-sex domestic partners) HSA and FSA plans, Family Benefits, Pet Benefits 401(k) Plan with an Employer Match Paid Time Off, Commuter Benefits, Educational Assistance Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs) Job Summary At OUTFRONT Media, a leader in Digital Out of Home (DOOH) advertising, we're blending cutting-edge technology with our nationwide network of digital billboards and transit displays to create innovative solutions that push the boundaries of what's possible. We're looking for a passionate and experienced Senior Data Engineer to join our growing Data & Analytics team. If you're excited about building high-performance data pipelines, solving complex problems, and collaborating with both internal and external teams, we want to hear from you! As a Senior Data Engineer, you'll leverage your expertise in cloud technologies, data architecture, and modern data warehouses to design and implement scalable, high-impact solutions that drive real business results. You'll partner with leadership to influence strategic decisions, ensuring our data systems evolve alongside the business to meet future needs. In this role, you'll be the go-to expert for all things cloud and data, playing a key part in shaping innovative, customer-focused solutions. If you're a multi-tasker with strong attention to detail, and you're ready to make a significant impact in a fast-paced, collaborative environment, let's work together to build the future of advertising technology! What You'll Do Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business. Design and implement large-scale, data structures that support analytics and data science needs, optimizing for speed, scalability, and reliability. Create seamless data ingestion processes (both real-time and batch) using modern ETL/ELT practices, leveraging cloud technologies and big data tools to ensure smooth data flow. Collaborate with business teams to understand needs, and translate them into flexible, scalable data solutions that grow with the company. Work alongside engineers to establish best practices for data system creation, ensuring data quality, integrity, and proper documentation throughout. Continuously improve reporting and analysis by automating processes, streamlining workflows and empowering teams with self-service data tools for easy access to insights. Partner with senior leadership to stay aligned on business objectives, provide regular updates, and make data-driven decisions to drive progress. Be the subject matter expert in your area, understanding the ad tech landscape and identifying ways to leverage OUTFRONT's unique position in the market. Take the initiative to identify, troubleshoot, and resolve challenges that could hinder progress on strategic goals, ensuring the team remains on track to meet both technical and business objectives. Experience 7+ years of experience designing and implementing data warehouse solutions, focusing on scalability and performance. 7+ years of experience writing complex SQL queries and developing robust ETL/ELT pipelines to transform and integrate data. 7+ years of programming experience in languages like Python, focusing on building scalable and efficient solutions. Extensive experience in building and optimizing APIs, containerization, and orchestration with Kubernetes to ensure scalable, high-performance data systems. Hands-on experience with Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift). Proficient in cloud technologies such as GCP or AWS. Experience leading and collaborating with agile teams, utilizing tools like Jira and Confluence, to drive user-centered and iterative development processes. Technical Expertise Expertise in creating reports and dashboards using tools like Tableau, Looker, or Power BI to enable insightful decision-making. Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies. Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting. Soft Skills Strong cross-functional collaboration skills, with experience working in complex organizations and aligning teams on data product decisions and trade-offs. Exceptional communication skills, capable of breaking down complex technical concepts and clearly communicating them to stakeholders. Passionate about working with large datasets, skilled at spotting trends and deriving actionable insights to drive business decisions. A quick learner, adept at grasping both business and technical needs to deliver impactful solutions. Education Bachelor of Engineering in Computer Science or equivalent preferred. The salary range for this role is $165,000-$185,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location. OUTFRONT Media is not responsible for any fees related to unsolicited resumes. OUTFRONT Media Is An Equal Opportunity Employer All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affirmative Action policy statement.

This is not a remote role. You must be in the local area or willing to relocate. Join Our Team The Office of Technology Enablement is a strategic organization designed to establish Disney as a progressive, innovative, and responsible leader in important and fast-moving areas of technology such as artificial intelligence and mixed reality. The organization coordinates efforts in AI/ML and mixed reality across each of the Walt Disney Company's business segments to enable value and drive business outcomes. Overview As a Senior Software Engineer (Unreal), you will help build foundational prototypes and systems that enable Disney's AI & XR Studio to accelerate creative innovation across The Walt Disney Company. Your focus will be on developing interactive, real-time experiences for XR with a downstream focus on scalable tools and experiences that teams can extend and adapt into broader production efforts. This role operates at the intersection of engineering and storytelling, providing foundational tools and experiences that empower partner teams to move faster and bolder with emerging technologies. You will own the technical direction and optimize stakeholder satisfaction for a collection of internally developed products in addition to architecting and delivering new software solutions, all while leveraging your expertise in Unreal and its accompanying toolset. You work closely with a cross-functional team of partners, including software, test, and automation engineers, as well as creative teams, to develop and improve product performance. Responsibilities Prototype and iterate on immersive XR experiences with a focus on emotional impact and user engagement. Collaborate with creative teams to translate narrative and design goals into interactive features. Provide technical leadership across multiple prototypes and tools, focusing on building scalable foundations that downstream teams can expand upon, while maintaining strong momentum and project health. Provide guidance and support to team members to ensure alignment with creative vision and business goals. Conduct rigorous testing to identify and fix any bugs or issues that may affect product performance. Act as a technical owner for net new tools or experiences, collaborating with stakeholders to define requirements, success metrics, and clear pathways for downstream teams to build upon studio- developed work. Build clear, modular documentation that translates business and creative inputs into technical deliverables, allowing for smooth handoffs and scalability. Collaborate closely with internal engineering teams and enterprise partners to deliver robust solutions designed to be adapted, scaled, or integrated into downstream experiences. Mentor and develop junior team members. Help author interactive development pipelines and real-time performance optimization. Design, develop, and maintain high-quality game code, features, and systems in collaboration with the development team. Implement and optimize interactive mechanics, graphics rendering, AI algorithms, and networking systems to ensure smooth performance across various platforms. Contribute to technical design discussions, identifying opportunities for innovation and improvement in game development processes. Collaborate with cross-functional teams, including design, art, and production, to integrate technical requirements and deliver high-quality games on time. Conduct code reviews, provide feedback, and mentor junior engineers to promote best practices and ensure code quality and efficiency. Stay current on industry trends, emerging technologies, and best practices in XR interactive development to continuously improve technical skills and knowledge. Must Have the following experience: Must have 5+ years of experience in developing high impact software solutions working with Unreal Demonstrated experience building interactive applications in Unreal for XR, Console or PC. Experience with Blueprints and C++ in Unreal for gameplay and interaction systems. Portfolio or demo reel showcasing interactive XR or real-time experiences you created. Strong understanding of real-time rendering, input systems, and performance optimization in Unreal. Proficiency in programming languages commonly used in development, such as C++, C#, or Java. Strong problem-solving skills, attention to detail, and the ability to work effectively in a fast-paced, collaborative environment. Excellent communication and interpersonal skills, with the ability to work well with cross-functional teams and contribute to technical discussions and decisions. Strong track record of interfacing with business and creative stakeholders to define requirements, propose solutions and support products through the prototype life. Passion for mentoring others and developing junior engineers. Bachelor's degree in Computer Science, Software Engineering, or a related field. #DISNEYTECH The hiring range for this position in Los Angeles, CA is $138,900.00-$186,200.00. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: TWDSTECH Job Posting Primary Business: Technology Enablement Primary Job Posting Category: Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-05-21

About OUTFRONT We are one of North America's most innovative media companies. We leverage the power of creative excellence, unbeatable locations and smart audience data to change the game for advertisers. Our purpose as a company is to help people, places and businesses grow stronger. To do this, we make meaningful connections between brands and people when they are outside of their homes through one of the largest and most diverse sets of out-of-home assets including billboards, transit and mobile displays across the U.S. We connect diverse audiences across over 150 markets and conduct our business considering all our stakeholders, from clients and employees, to the communities where we operate. We are committed to creating a diverse and inclusive work environment that promotes the growth of our people. Come join our industry-leading team! What We Offer OUTFRONT offers a comprehensive benefits program including: Medical, Dental, Vision (including same and opposite-sex domestic partners) HSA and FSA plans, Family Benefits, Pet Benefits 401(k) Plan with an Employer Match Paid Time Off, Commuter Benefits, Educational Assistance Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs) Job Summary At OUTFRONT Media, a leader in Digital Out of Home (DOOH) advertising, we're blending cutting-edge technology with our nationwide network of digital billboards and transit displays to create innovative solutions that push the boundaries of what's possible. We're looking for a passionate and experienced Senior Data Engineer to join our growing Data & Analytics team. If you're excited about building high-performance data pipelines, solving complex problems, and collaborating with both internal and external teams, we want to hear from you! As a Senior Data Engineer, you'll leverage your expertise in cloud technologies, data architecture, and modern data warehouses to design and implement scalable, high-impact solutions that drive real business results. You'll partner with leadership to influence strategic decisions, ensuring our data systems evolve alongside the business to meet future needs. In this role, you'll be the go-to expert for all things cloud and data, playing a key part in shaping innovative, customer-focused solutions. If you're a multi-tasker with strong attention to detail, and you're ready to make a significant impact in a fast-paced, collaborative environment, let's work together to build the future of advertising technology! What You'll Do Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business. Design and implement large-scale, data structures that support analytics and data science needs, optimizing for speed, scalability, and reliability. Create seamless data ingestion processes (both real-time and batch) using modern ETL/ELT practices, leveraging cloud technologies and big data tools to ensure smooth data flow. Collaborate with business teams to understand needs, and translate them into flexible, scalable data solutions that grow with the company. Work alongside engineers to establish best practices for data system creation, ensuring data quality, integrity, and proper documentation throughout. Continuously improve reporting and analysis by automating processes, streamlining workflows and empowering teams with self-service data tools for easy access to insights. Partner with senior leadership to stay aligned on business objectives, provide regular updates, and make data-driven decisions to drive progress. Be the subject matter expert in your area, understanding the ad tech landscape and identifying ways to leverage OUTFRONT's unique position in the market. Take the initiative to identify, troubleshoot, and resolve challenges that could hinder progress on strategic goals, ensuring the team remains on track to meet both technical and business objectives. Experience 7+ years of experience designing and implementing data warehouse solutions, focusing on scalability and performance. 7+ years of experience writing complex SQL queries and developing robust ETL/ELT pipelines to transform and integrate data. 7+ years of programming experience in languages like Python, focusing on building scalable and efficient solutions. Extensive experience in building and optimizing APIs, containerization, and orchestration with Kubernetes to ensure scalable, high-performance data systems. Hands-on experience with Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift). Proficient in cloud technologies such as GCP or AWS. Experience leading and collaborating with agile teams, utilizing tools like Jira and Confluence, to drive user-centered and iterative development processes. Technical Expertise Expertise in creating reports and dashboards using tools like Tableau, Looker, or Power BI to enable insightful decision-making. Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies. Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting. Soft Skills Strong cross-functional collaboration skills, with experience working in complex organizations and aligning teams on data product decisions and trade-offs. Exceptional communication skills, capable of breaking down complex technical concepts and clearly communicating them to stakeholders. Passionate about working with large datasets, skilled at spotting trends and deriving actionable insights to drive business decisions. A quick learner, adept at grasping both business and technical needs to deliver impactful solutions. Education Bachelor of Engineering in Computer Science or equivalent preferred. The salary range for this role is $165,000-$185,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location. OUTFRONT Media is not responsible for any fees related to unsolicited resumes. OUTFRONT Media Is An Equal Opportunity Employer All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affirmative Action policy statement.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The New York Times is looking for an Android Engineer to join the Games mobile team. NYT Games is a collaborative team that values inclusion, diversity and personal growth. We combine product development with a world-class suite of puzzles including beloved titles such as the NYT Crossword, Spelling Bee, Connections and Wordle. Join us as we embark upon new feature development and future vision, improve the stability and maintainability of our systems, and deliver delightful experiences to millions daily. This is a hybrid role based in our New York City headquarters, reporting to the Senior Engineering Manager, Games. You can typically expect to come into the office two days per week. How we work: As an Android Engineer, you'll contribute to our team's goals by owning the development and creation of features from technical design through completion while actively seeking ways to improve themselves as an engineer. We ship code to the Play Store weekly and optimize for speed of delivery without compromising on quality. Responsibilities: * Work closely with product, project, design, data, QA, and other engineers to guide product development. * Own small to medium sized Android features end to end * Design, develop, and test new features using Kotlin and other modern Android development tools and frameworks. * Contribute to app architectural decisions, code review, documentation, and technical roadmap * You will optimize the platform to ensure our app is stable by writing quality code and partnering with the QA team to test and fix bugs. * You will collaborate with internal NYTimes services, and external APIs. * Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: * You have 2+ years professional software development experience working with Android (Kotlin) * Understanding of modern Android technologies such as Jetpack Compose, Coroutines, Dagger/Hilt, MVVM/MVI, and Room. * Experience with layouts, themes, styles, views and other Android UI concepts. * You embrace challenges, are always learning, and eager to bring others along in learning. We are utilizing Jetpack Compose and Coroutines for feature development. Preferred Qualifications: * Experience using modern Android technologies such as Coroutines and Jetpack Compose * Experience working with UI that adapts to different screen sizes * Familiarity with RESTful APIs * Experience with Benchmarking #LI-Hybrid #REQ-019061 The annual base pay range for this role is between: $110,000-$130,000 USD The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at *************************. You can also file a report with the Federal Trade Commission or your state attorney general.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The New York Times is looking for an iOS Engineer to join the Games Player Experience (PlayerXP) team. The PlayerXP squads focus on connecting users to the value of registration and subscription, building value through advertising for non-subscribers, and helping users discover the best experience in the Games app every week. Some features we released this year include Create Your Wordle Puzzle, Badges, and a custom experience for free trial users. Come help us create features that delight our customers! You are passionate about iOS, enjoy creatively solving technical challenges, and are curious about technology inside and outside the iOS platform. You'll report to the Games PlayerXP Engineering Manager and be on a team with native mobile, frontend, and full-stack engineers. You will also work with cross-functional partners in QA, product management, project management, data analytics, and design. NYT Games is a collaborative team that values inclusion, diversity and personal growth. We combine product development with a world-class suite of puzzles including beloved titles such as the NYT Crossword, Spelling Bee, Connections and Wordle. Join us as we embark upon new feature development, future vision, and deliver delightful experiences to millions daily. This is a hybrid role based in NYC, typically in-office two days a week. This role may require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. How We Work We ship code to the App Store weekly and optimize for speed of delivery without compromising on quality. We use a mix of Swift and Objective-C in our native apps, and generally build APIs in Go, web applications in Node.js, and web front-ends in React with accessible, semantic HTML and SCSS. Software Engineers contribute to their team's goals by owning the development and creation of features from technical design through completion while looking for ways to improve themselves as an engineer. We support Engineers in this role by providing: * Professional development training offered in-house, including a formal mentorship program, and reimbursement for training off-site. * Communities of practice for a variety of topics both technical and otherwise * Frequent panel discussions and talks by different newsmakers and industry leaders. * A community committed to the richness of diversity, experiences and talents in the world we cover, supported by a variety of employee resource groups. Responsibilities: * You'll create features using Swift and SwiftUI. * Lead small to medium sized iOS features end to end. * Design and develop new features using Swift and other modern iOS development tools and frameworks. * Contribute to app architectural decisions, documentation, technical roadmap and timeline estimations. * Participate in technical discussions with backend developers and other owners of internal/external dependencies. * Promote standards in Swift development, and engage with the community of iOS developers at the Times. * Improve the platform to ensure our app is stable by writing quality code and partnering with the QA team to test and fix bugs. * Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: * 2+ years professional iOS development experience * Swift experience: Write unit tests, networking, data persistence and UI. * iOS design patterns, memory management and multi-threading such as SwiftUI, UIKit, Combine, MVVM/MVI, and CoreData/GRDB. * Embrace challenges, are always learning, and eager to bring others along in learning. #LI-Hybrid #REQ-019197 The annual base pay range for this role is between: $110,000-$130,000 USD The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at *************************. You can also file a report with the Federal Trade Commission or your state attorney general.