Data Engineer
Haystack · New York, United States · Yesterday
RemoteRemoteInformation TechnologyFull-time
About the Role
Develop, maintain, and optimize SQL-based ETL processes, stored procedures, and data transformations across various platforms.
Responsibilities
- Define enterprise data engineering architecture and technology standards
- Build and maintain data pipelines using tools like IBM DataStage and UNIX scripting
- Govern platform health, including capacity planning, performance benchmarks, and disaster recovery compliance
- Lead workload rationalization to consolidate, retire, or re-engineer data pipelines
- Monitor pipeline health, detect anomalies, and resolve data quality and availability issues
Qualifications
- Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field
- AWS certification (Data Engineer Professional, Solutions Architect Professional, or equivalent)
- 8+ years of data engineering experience with deep expertise in enterprise ETL/ELT architecture
- Expert-level SQL proficiency in IBM DB2 and SQL Server, including complex schema design and query optimization
- Expert-level IBM DataStage experience, including architecture, parallel job design, and performance tuning
- Proven AWS data engineering experience in S3, Glue, RDS, Redshift, Lambda, and IAM-governed data access
Benefits
- Comprehensive benefits including medical/dental/vision insurance
- Opportunity to work on large-scale enterprise data platforms
- Engagement in modern data stack adoption initiatives
- Collaborative environment with downstream analytics consumers