Data Engineer, Workato
$100k
Plus variable Plus Equity
Office located in Palo Alto, CA
Integration & workflow automation platform
Be an early applicant
Integration & workflow automation platform
501-1000 employees
Be an early applicant
$100k
Plus variable Plus Equity
Office located in Palo Alto, CA
501-1000 employees
Company mission
To help businesses streamline their operations by providing a platform to automate their work and integrate their stacks, all in one place.
Role
Who you are
- Bachelor’s or Master’s 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 hands-on 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
- Exceptional analytical skills with meticulous attention to detail and accuracy
- Strong interpersonal and communication skills, adept at working collaboratively in fast-paced environments
- Experience or familiarity with AI technologies, specifically prompt engineering, Large Language Models (LLMs), or AI-driven 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 real-time analytics and data streaming technologies such as Kafka or StreamSets
What the job involves
- 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 data-driven AI agents, would be highly advantageous
- Design, build, and maintain robust and scalable data pipelines to enable efficient data integration across the organization
- Develop and optimize ELT-based data models using SQL and DBT
- Collaborate closely with cross-functional 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 cross-functional 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 ad-hoc reporting and analytics
Our take
Many businesses struggle with lack of team integration. There are a plethora of handy apps available, and various teams within businesses often use different processes, tools, and software. This has led to many businesses attempting to patch together technologies and create ad-hoc solutions that fail when they need to be scaled. Workato allows businesses to integrate data and apps so that teams can collaborate and communicate securely.
Workato has built a single platform that integrates apps, processes, data, and user experiences to improve efficiency, communication, and business flexibility. There are many integration platforms available, such as SnapLogic and Mulesoft Anypoint Platform, however, Workato has aimed its platform at users who have minimal technical experience, rather than the IT team.
Workato has continued to expand its partnerships and workforce, and is well set to see further growth as it innovates its product offerings and capabilities. The company was recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Integration Platform as a Service, making five years it has participated and five years it has been recognized.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2021
$200m
SERIES E
Jan 2021
$110m
SERIES D
Total funding: $415m
Company benefits
- Flexible Working Arrangements: We maintain a hybrid remote work model and provide everyone with best of breed technology tools that enable them to work anywhere, anytime.
- Great Employee Benefits: Such as an Employee Assistance Programme (EAP), Health Insurance, Referral Bonuses, and Workato Stock Options, tailored to the countries that our employees are based in.
- Professional Development Opportunities: We support individual career ambitions, and set aside training programs and budgets they can tap on to upgrade both soft and hard skills.
- Dedicated Wellness: We make it a point to dedicate time to pause, recharge and get to know each other better.
- Recreation Time: From virtual game nights to fitness sessions, there's always time for a little fun on the calendars.
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Vijay Tella
(CEO)Spent 15 years as an Engineer at Teknekron and TIBCO, before joining Oracle as CSO. They also served as CEO at Qik, and VP at Skype.
Gautham Viswanathan
(CPO)Spent 12 years at TIBCO Software, before leaving their Corporate Development role to found Blink Interactive. Also served as the CEO of iProfile.
Harish Shetty
(Head of Engineering)Previously held leadership roles in engineering at TIBCO, Blink, and iProfile.
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