• Design, build, and maintain scalable data pipelines and ELT/ETL workflows. • Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications. • Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets. • Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets. • Design and implement data quality, validation, and monitoring processes. • Support both batch and near real-time data integration requirements. • Develop APIs and data services that enable internal and customer-facing applications. • Optimize data pipeline performance, scalability, and cost efficiency. • Document data architectures, pipeline processes, and engineering standards. • Evaluate emerging technologies and recommend improvements to the organization's data platform. • Mentor team members and help establish engineering best practices.

Develop data-driven solutions and scalable data integration frameworks, build applications using various SaaS tools and open-source frameworks, and manage production support processes for data quality and lifecycle.

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.