Data Engineer
Data Engineer
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1 Vacancy
Job Description
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 AIpowered platform enables teams to navigate complex workflows in realtime driving efficiency and agility.
Trusted by a community of 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fastchanging world. Learn how Workato helps businesses of all sizes achieve more at .
Why join us
Ultimately Workato believes in fostering a flexible trustoriented 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 selfcare. Thats 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
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are seeking a highly skilled and motivated Data Engineer to join our dynamic data team. This individual will play a pivotal role in developing and maintaining scalable data pipelines data models and critical analytics dashboards. The ideal candidate will possess strong expertise in SQL DBT Python and Business Intelligence tools. Additionally experience in AI specifically in prompt engineering Large Language Models (LLMs) and building datadriven AI agents would be highly advantageous.
In this role you will also be responsible to:
Design build and maintain robust and scalable data pipelines to enable efficient data integration across the organization.
Develop and optimize ELTbased data models using SQL and DBT.
Collaborate closely with crossfunctional teams to understand data needs and translate these into technical implementations.
Leverage Python and associated libraries to conduct complex data analysis generating actionable insights.
Create and manage advanced dashboards and reports using BI tools such as Sigma Looker Tableau or Power BI.
Ensure data accuracy and integrity through rigorous validation and testing.
Partner with crossfunctional data teams to maintain compliance with data governance security and privacy standards.
Continuously explore and adopt innovative tools technologies and methods to enhance data efficiency and quality.
Develop advanced monitoring and alerting systems for data pipelines and analytics processes.
Translate business requirements into structured data models suitable for adhoc reporting and analytics.
Requirements
Qualifications / Experience / Technical Skills
Bachelors or Masters degree in Computer Science Data Science Engineering Statistics or a related discipline.
5 years of relevant industry experience in data engineering analytics engineering or business intelligence roles.
Strong proficiency in SQL and Python with handson experience in ETL/ELT development and data warehousing (Star Schema/Snowflake Schema).
Demonstrated expertise in using data integration tools (e.g. Workato FiveTran Matillion Informatica).
Experience with modern data warehouse platforms such as Snowflake Redshift or BigQuery.
Solid experience using data transformation tools like DBT or SQLMesh.
Proficiency with business intelligence tools including Sigma Looker Tableau or Power BI.
Soft Skills / Personal Characteristics
Exceptional analytical skills with meticulous attention to detail and accuracy.
Strong interpersonal and communication skills adept at working collaboratively in fastpaced environments.
Soft Skills / Personal Characteristics
Experience or familiarity with AI technologies specifically prompt engineering Large Language Models (LLMs) or AIdriven agents.
Proven experience developing or deploying intelligent agents or automations using AI frameworks.
Knowledge or experience with cloud services such as AWS Google Cloud or Azure.
Familiarity with automation platforms like Workato.
Experience with realtime analytics and data streaming technologies such as Kafka or StreamSets.
For California applicants the pay for this role begins at $100000 plus variable benefits perks and equity.
Employment Type
Full Time
