Your role at DynatraceWe are looking for a Sr. Data Engineer, Data Automation & Platforms, with deep expertise across two core disciplines: ETL/ELT pipeline automation and data platform administration. You will build and operate the data infrastructure that powers analytics, reporting, and self-service data access across the organization, while keeping the platform reliable, governed, and cost-efficient. Key Responsibilities - ETL / ELT Pipeline Automation: Build and operate scalable ELT/ETL pipelines using open-source tools (Python, Spark, etc) and managed platforms such as Fivetran, etc, applying automation-first patterns to minimize per-source engineering effort. Own the dbt project end-to-end - model layering, testing, deployment, and lineage - and instrument pipelines with data quality checks, SLA alerting, and CI/CD practices. - Platform Administration & Operations: Administer Data platform tools such as Snowflake, AWS Services, DBT Cloud across all environments, warehouse sizing, query optimization, object lifecycle, RBAC design, and Row-Level Security implementation with access provisioning automated through scripting or infrastructure-as-code. Own alerting and notification automation for pipeline health, data quality breaches, and cost spikes, and provide operational support and administration. May need to participate in On-Call rotations. This is a remote eligible position. Candidates who sit within a 45 mile radius of Boston, MA; Denver, CO; Detroit, MI will be required to work hybrid (2 days per week in office). All candidates will be required to work EST hours. What will help you succeedMinimum Requirements: - 6+ years of data engineering experience with senior-level ownership of pipelines and ingestion systems. Preferred Requirements: - Hands-on experience with open-source orchestration tools - Python, Apache Airflow, Spark, Kafka, or equivalent. - Experience operating Fivetran, dbt - connector configuration, schema drift handling, and sync management. - Experience building ingestion automation frameworks using metadata-driven or configuration-driven patterns. - Hands-on Snowflake administration - virtual warehouse sizing, query tuning, clustering keys, object lifecycle management, and credit cost governance. - Snowflake feature administration including Streams, Tasks, Dynamic Tables, Snowpipe, and Data Sharing. - Platform-level administration of managed ELT tools such as Fivetran or Matillion - user management, connector governance, environment configuration, and operational support. - Hands-on dbt administration: project configuration, environment and job management, dbt Cloud/Core deployment, and model promotion workflows. - DevOps & Release Automation / Monitoring: - Experience owning end-to-end alerting and notification automation for pipeline failures, data quality breaches, SLA violations, and platform cost anomalies. - Experience applying DevOps practices to data infrastructure, Git-based version control, CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent), and automated testing for dbt models and pipeline code. - Infrastructure-as-code experience (Terraform or equivalent) for provisioning Snowflake objects, roles, and warehouses in a repeatable, auditable way. - Ability to manage release workflows across dev / staging / prod environments with automated promotion gates and rollback capability. - Experience with Snowflake AI integrations - Snowflake SnowPro Core, Advanced, or Cortex AI certification - Experience with dbt Mesh or cross-project dbt architectures at scale - Background in SaaS industries Why you will love being a Dynatracer - A one-product software company creating real value for the largest enterprises and millions of end customers globally, striving for a world where software works perfectly. - Working with the latest technologies and at the forefront of innovation in tech on scale; but also, in other areas like marketing, design, or research. - A team that thinks outside the box, welcomes unconventional ideas, and pushes boundaries. - An environment that fosters innovation, enables creative collaboration, and allows you to grow. - A globally unique and tailor-made career development program recognizing your potential, promoting your strengths, and supporting you in achieving your career goals. - A truly international mindset that is being shaped by the diverse personalities, expertise, and backgrounds of our global team. - A relocation team that is eager to help you start your journey to a new country, always there to support and by your side. - Attractive compensation packages and stock purchase options with numerous benefits and advantages. Compensation and RewardsDOE, salary $125K - $155K, plus Health, Dental, Life, STD, LTD, 401K, PTO. Total compensation may vary depending on candidate experience/education and location. Equal Employment OpportunityAll your information will be kept confidential according to EEO guidelines. We offer competitive compensation, company-sponsored premium benefits, medical, dental, vacation/holidays, company matching 401(k) Plan, etc. Dynatrace is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, gender identity, religion, national origin, ancestry, citizenship, physical abilities, age, sexual orientation, creed, disability status, veteran status, pregnancy, genetic status, or any other characteristic protected by law. If your disability makes it difficult for you to use this site, please contact careers@dynatrace.com. Dynatrace participates in E-Verify, participant information in English and Spanish. Right to work information in English and Spanish. EEO is the Law. To be considered for this position, please upload your resume/CV.

• Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of structured and semi-structured data. • Build and operate real-time data streaming pipelines using Apache Kafka and its ecosystem (Kafka Streams, Kafka Connect). • Architect and maintain ETL and ELT pipelines with a focus on data quality, idempotency, and observability. • Develop distributed data processing applications using Apache Spark (PySpark, Scala), running on Databricks. • Design and manage both SQL and NoSQL databases used in our data products. • Build data solutions on cloud infrastructure (GCP, Azure, or AWS), leveraging managed services. • Apply software engineering best practices to data pipelines: version control, automated testing, peer code review, and CI/CD using tools such as GitLab or Jenkins. • Own the operational health of the data infrastructure and ETL processes you build. • Integrate data from internal and external sources via REST and SOAP APIs. • Actively contribute to InPost's data engineering community — through code reviews, internal documentation, tech talks, and mentoring.

Role Description Estamos contratando um(a) Engenheiro de Dados com experiência no ecossistema Azure para fazer parte de projetos desafiadores e de alto impacto. Se você busca inovação e gosta de trabalhar com grandes volumes de dados. - Estruturar pipelines de dados em ambiente Azure; - Criar e otimizar arquiteturas de dados escaláveis; - Garantir a segurança e governança dos dados; - Colaborar com times multidisciplinares para soluções baseadas em dados. Qualifications - Domínio de SQL; - Domínio de Python; - Domínio de PySpark; - Experiência com processos de ETL e manipulação de grandes volumes de dados (Big Data); - Familiaridade com boas práticas de engenharia de dados e segurança; - Desejável: conhecimento em DAX. Benefits - Contratação CLT ou PJ; - Seguro de Vida; - Plano de Saúde SulAmerica; - Plano Odontológico SulAmerica; - Auxílio Home Office; - Grupo de Estudo; - Plano de Carreira. Company Description A L3 é uma consultech que ajuda empresas a se destacarem em seus mercados por meio de tecnologia e práticas ágeis. Nosso lema é "IT Is About People", porque acreditamos que as pessoas podem alcançar seu potencial máximo com as ferramentas e o suporte certos. Os Eletrinos (colaboradores L3) são movidos por aprendizado constante, colaboração e protagonismo em suas trajetórias.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team: The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models. In 2026, our team's overarching mission is to evolve our full data ecosystem-encompassing both platform and models-into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making. What you'll do In this role, you will lead the architecture and construction of core infrastructure components, taking full ownership of technical decision-making and custom development from foundational storage to high-availability service layers. You will perform deep-dives into systems internals and performance tuning-focusing on state management, checkpointing, and exactly-once semantics-to ensure millisecond-level accuracy and reliability across 30+ global regions. A significant portion of your impact will involve developing the "Knowledge Platform" to power AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming. Beyond the initial build, you will own the full SDLC for high-performance distributed systems that process petabytes of data at a global scale. As a champion of engineering rigor, you will advocate for elite software practices and contribute to shared tooling, SDKs, and automation frameworks that enhance productivity across the entire organization. Finally, you will serve as a technical beacon and mentor for mid-level engineers, driving high-quality project delivery through meticulous design reviews and hands-on technical leadership. This is a hybrid role based in San Francisco. Who you are: - Experience: Have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms. - First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols. - The "Builder" Stack: Are proficient in Java, Kotlin, or Go. You should have hands-on experience (or the desire to deep-dive) into the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines. - Ownership Mindset: Have a proven track record of taking 0-1 ownership of complex technical challenges, from initial design to production stability. - Curiosity & Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact. Preferred Qualifications: - Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture. - Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow. - Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide). - Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design. - Experience thriving in a complex environment. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid