Data EngineerOverviewWe are seeking a Data Engineer to build, optimize, and modernize data pipelines supporting a wide range of business functions, including operations, marketing, finance, accounting, and e-commerce. This role will focus heavily on improving the reliability and performance of an established Informatica environment while helping transition legacy data solutions to modern AWS-based platforms.
Core Responsibilities- Design, architect, and implement data pipelines and BI solutions using AWS.
- Design and implement Informatica workflows.
- Build and optimize ETL processes to improve data quality, reliability, and freshness.
- Identify opportunities to simplify and improve complex legacy pipelines.
- Modernize existing data pipelines onto AWS-based platforms.
- Partner with business stakeholders to translate business needs into scalable data solutions.
- Collaborate with the Science team to build data foundations for AI solutions and bring them into production.
- Improve operational health through monitoring, automation, and error reduction.
- Leverage AI-powered developer and data tools to improve productivity and code quality.
- Participate in operational reviews and broader data engineering learning opportunities.
Required Qualifications- 3-5 years of Data Engineering or related experience.
- Bachelor's degree in Data Engineering, Business Intelligence, Computer Science, or a related field.
- Proven experience with Informatica workflow design and implementation.
- Experience identifying and optimizing complex data pipelines.
- Ability to proactively identify problems and improve pipeline reliability.
- Strong communication and ability to understand business needs beyond the technical data environment.
Preferred Qualifications- AWS data engineering experience, particularly with Glue, Lambda, EventBridge, Cradle, and S3.
- Experience with Databricks or Snowflake.
- Apache Airflow experience.
- Experience modernizing legacy data environments.
- Ability to understand business processes across areas such as inventory, web traffic, operations, marketing, and accounting.
Top Skills- Informatica Workflow Design & Implementation
- AWS Data Engineering
- Data Pipeline Optimization & Reliability
Work Environment- Onsite in New York.
- Collaborative team environment with three Data Engineers and one Business Intelligence Engineer.
- Standard schedule is approximately 9:00 AM-5:00 PM.
- Some overtime/shift coverage may be required approximately once per month.
Success in This RoleThe successful candidate will be proactive in identifying problems within complex data pipelines and simplifying them where possible. They should be able to look beyond the data itself to understand the business processes the data supports and build reliable solutions that improve the experience for internal customers.
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