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Dynatrace delivers answers and intelligent automation from data.
The Role
Designs and optimizes scalable data ingestion pipelines for product telemetry and enterprise business data. Builds automated pipelines using Fivetran, Python, APIs, S3 lakehouse architectures, Kafka, Spark, and Snowflake. Applies advanced SQL, incremental loading, CDC, micro-batching, and rate-limit handling to support reliable, analytics-ready datasets. Implements CI/CD and DevOps practices, monitors pipeline performance, and partners with analysts and platform teams to rapidly deliver data solutions.
Summary Generated by Built In
Your role at Dynatrace
We are seeking an experienced Data Engineer to design, build, and optimize scalable data ingestion pipelines for product telemetry and enterprise business applications data. This role operates in a fast‑paced environment, rapidly prototyping data pipelines to enable data exploration, analytics, and downstream consumption.
Responsibilities
- Design and implement modern data ingestion pipelines for business systems data using Fivetran, Python and Bulk APIs, S3-based lakehouse architectures, and streaming ingestion (Kafka, Spark)
- Build end-to-end automated pipelines from source systems to Snowflake, ensuring reliability, scalability, and observability
- Apply advanced SQL in Snowflake for transformation, standardization, and preparation of analytics-ready datasets
- Optimize ingestion performance for large-scale, high-volume datasets using API rate-limit handling, micro-batching, and incremental loading / CDC
- Implement DevOps and CI/CD practices for data pipelines, including version control and deployment automation
- Partner with analysts, SMEs, and platform teams to rapidly prototype pipelines supporting exploration and evolving requirements
- Monitor, troubleshoot, and optimize ingestion jobs to ensure data freshness, accuracy, and performance
- 6+ years of hands-on experience in data engineering and ingestion automation in cloud or hybrid environments
- Proven experience ingesting business application data (CRM, ERP, financial, consumption, renewals systems)
- Advanced proficiency with Python and Fivetran (or similar ETL/ELT tool) for pipelines, automation, orchestration, and validation
- Expertise with Kafka, Spark, and S3 / lakehouse-style storage architectures
- Strong proficiency with Snowflake, ingestion, transformation, and performance optimization
- Deep understanding of ingestion optimization, rate limits, micro-batching, incremental loads, and CDC
- Experience applying DevOps / CI/CD practices to data pipelines
- Ability to work independently and deliver solutions rapidly in a fast-paced, iterative environment
Desirable:
- Experience with additional open-source ingestion frameworks and connectors
- Exposure to event-driven or telemetry-heavy architectures at scale
- Dynatrace is a leader in unified observability and security.
- We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
- Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
- You'll get to work at the forefront of innovation with Dynatrace Intelligence, the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next, automatically.
- Over 50% of the Fortune 100 companies are current customers of Dynatrace
Skills Required
- 6+ years of hands-on experience in data engineering and ingestion automation in cloud or hybrid environments
- Experience ingesting business application data, including CRM, ERP, financial, consumption, or renewals systems
- Advanced proficiency with Python and Fivetran or a similar ETL/ELT tool
- Expertise with Kafka, Spark, and S3 or lakehouse-style storage architectures
- Strong proficiency with Snowflake, including ingestion, transformation, and performance optimization
- Understanding of ingestion optimization, rate limits, micro-batching, incremental loads, and CDC
- Experience applying DevOps and CI/CD practices to data pipelines
- Ability to work independently and deliver solutions rapidly in a fast-paced, iterative environment
- Experience with additional open-source ingestion frameworks and connectors
- Exposure to event-driven or telemetry-heavy architectures at scale
What the Team is Saying
Michael Polter
Sr Customer Success Engineer
Jamie Mallett
Sr Manager, Sales Program Management
Trevor Ealy
VP, GTM & Enablement
Hannah Fleming
Enterprise Expansion Account Executive
Kristen Hanlan
Sr Manager, Sales Development NORAM
Dynatrace Compensation & Benefits Highlights
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Leave & Time Off Breadth — Time off options include paid PTO, parental leave, volunteer time off, and company‑wide quarterly Wellness Days, with flexible hours and hybrid/remote arrangements noted. Feedback suggests these programs support work‑life balance across many U.S. roles, with some postings referencing an "unlimited" PTO approach.
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Healthcare Strength — Healthcare is presented as comprehensive, with medical, dental, and vision coverage plus mental‑health resources and an Employee Assistance Program; U.S. materials cite PPO/HDHP options and a Kaiser HMO in California. Feedback suggests these offerings are well regarded and form a solid core of the benefits package.
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Retirement Support — Retirement programs include a U.S. 401(k) with company match and access to retirement planning tools, with company reporting also referencing broader retirement savings programs. Feedback suggests this foundation contributes meaningfully to overall total rewards.
Dynatrace Insights
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The Company
What We Do
Dynatrace lets customers understand their business like never before, so they can see beyond the complexity, find and fix problems faster and automate manual tasks with Al — so they can focus on what truly matters: running their business.
Why Work With Us
In a world that runs on software, our Al-driven insights cut through the noise, allowing you to focus on what truly matters by automating manual tasks and resolving issues with pinpoint accuracy. Our culture, fueled by curiosity, openness, and authenticity, drives our pursuit of innovation and excellence in crafting the Dynatrace platform.
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Dynatrace Teams
Dynatrace Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.
Typical time on-site:
2 days a week
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