Senior Data Engineer (Kafka/Flink)

Posted 13 Days Ago
Be an Early Applicant
2 Locations
Senior level
Cloud • Enterprise Web • Information Technology • Productivity • Software
Workato helps companies integrate anything and automate everything.
The Role
As a Senior Data Engineer, you will maintain data circuits, develop a usage tracking platform, and collaborate with teams using modern tools.
Summary Generated by Built In
About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an “enterprise startup to bet your career on”

  • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

As a Senior Data Engineer at Workato, you will be part of the data engineering team that is responsible for maintaining two data circuits.

  • The first circuit is the raw data layer and pipelines for internal analytics. This helps us understand how our clients use the Workato platform and requires close collaboration with internal stakeholders such as the Product and Business analytics teams.

  • The second circuit is data, pipelines, and queries for in-product analytics. This helps our users understand how their clients use the products they built using our automation platform.

  • Your main responsibility will be to develop a new usage tracking/billing platform that will provide accurate near real-time data for both circuits. This platform will also be integrated smoothly with the back office, internal data warehouse, and in-product analytical and reporting tool called Workato Insights. Additionally, the new platform will address advanced use cases like usage forecasting, anomaly detection, and real-time alerts.

  • You should also be prepared to work closely with the ML team, as the data platform will be an important foundation for current and future projects in this area.

  • You will work as part of a small, flexible team of 4 engineers and will have a direct impact on modernizing and maturing the platform, including architecture decisions. On a daily basis you will use modern tools such as Iceberg Datalake, Snowflake, Clickhouse, Airflow, Flink, Spark, Trino, and Kafka Ecosystem.

RequirementsQualifications / Experience / Technical Skills

  • 5+ years of work experience building & maintaining data pipelines on data-heavy environments (Data Engineering, Backend with emphasis on data processing)

  • Fluent knowledge of  SQL.

  • Strong knowledge of common analytical domain programming languages such as Java, Scala and basic knowledge of Python.

  • Strong experience with Flink and Spark.

  • Experience with Data Pipeline Orchestration tools (Airflow, Dagster or similar).

  • Experience with Data Warehousing Solutions (Snowflake, Redshift, BigQuery).

  • Production experience with PostgreSQL and Clickhouse is a plus.

  • Experience with building billing/usage tracking platforms is a plus.

  • Confidence in using Git, K8s and Terraform.

  • Experience with a solution cost optimization and capacity planning.  

  • Good understanding of Data Privacy and Security (GDPR, CCPA).

Soft Skills / Personal Characteristics

  • Good communication and collaboration skills.

  • Exposure or interest working with Data pipeline technologies.

  • Readiness to work remotely with teams distributed across the world and timezones.

  • Spoken English (at the level enough to pass technical interviews and later work with colleagues).

Top Skills

Airflow
Clickhouse
Flink
Git
Iceberg Datalake
Java
K8S
Kafka
Postgres
Python
Scala
Snowflake
Spark
SQL
Terraform
Trino
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The Company
HQ: Mountain View, CA
650 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

The leader in enterprise automation, Workato helps organizations work faster and smarter without compromising security and governance. Built for Business and IT users, Workato is trusted by over 7,000 of the world's top brands like Gitlab, Toast, Broadcom, Intuit, Autodesk, and HubSpot. Leaders use Workato to automate key processes like Order to Cash, Speed to Lead, HR Onboarding and Offboarding and more.

Why Work With Us

Here at Workato, we are a team moved by innovation — a passion to create the best possible way and the drive to continue to make it better. We also believe in the power of our team, knowing that we only succeed if we all succeed together. Our team uses seven operating principles to help us make better decisions, work as a team, and have fun.

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