Job Summary
As a Informatica Data Engineer on this team, you will routinely solve complex data problems, unblocking critical projects that drives the platforms towards set goals.
Whether you are optimizing analytics that help marketing tune their strategies, building new pipelines to speed up delivery, partnering with our Science team to deliver AI solutions, or helping accounting drill down to track our business: your work will empower meaningful change for your customers. You will partner closely with stakeholders across the business and with the Data Engineering team to deliver new features, or pitch in to migrate legacy features to a modern AWS-based platform.
Key job responsibilities
You will own projects that build new data pipelines, modernize existing ones onto our AWS-based platform, or refine pipelines to deliver more value for our customers. You will partner with colleagues across Sthe platform to understand their business domains and build solutions that meet their needs, including working with our Science team to bring AI solutions to production. You will also be an active participant on the platform data team, driving improvements to the team's operational health and reducing errors for customers.
- Architecting, designing, and implementing next-generation data pipelines and BI solutions built on AWS.
- Building and optimizing ETL processes to improve data quality, reliability, and freshness.
- Leveraging AI-powered developer and data tools to boost your own productivity and code quality.
- Partnering with business stakeholders to translate their needs into scalable data solutions.
- Collaborating with the Science team to build data foundations for AI solutions and bring them into production.
- Improving the team's operational excellence through monitoring, automation, and error reduction
Core skills:
- Informatica workflow design and implementation
- AWS data engineering (Glue, Lambda, EventBridge Cradle, S3)
- Apache Airflow
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A day in the life
Your day starts with the team standup, reviewing pipeline health and any overnight data issues alongside fellow Data Engineers and your tech lead. You'll partner directly with these business customers to turn their needs into reliable data solutions. Our team has a strong, collaborative culture: you'll learn continuously from experienced engineers through pairing, design reviews, and you'll share your own expertise in return.
Pay: $70.00 - $125.00 per hour
Work Location: In person
