Cloud Data Engineer

City: NYC, NY Onsite/ Hybrid/ Remote: Hybrid Duration: 13 months Rate Range: Up to$82/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • 4+ years of experience in big data and/or data intensive projects • 4+ years of hands-on Python development • Expert-level SQL development (Redshift, PostgreSQL, MySQL, etc.) • Strong experience with PySpark • Experience with AWS services: Redshift, S3, DynamoDB, SageMaker, Athena, Lambda • Experience with Databricks, Snowflake, Jenkins • Strong knowledge of data engineering practices: data pipelines, ETL, data governance, metadata management, data lineage • Experience with APIs, data wrangling, and advanced data transformations Responsibilities: • Design, build, and maintain batch and real-time data pipelines integrating 1st, 2nd, and 3rd party data sources • Lead the design and evolution of BI Delta Lake infrastructure to support analytics and reporting • Develop data catalogs, validation routines, error logging, and monitoring solutions for high-quality datasets • Build integrations with marketing, media, and subscription platforms to optimize KPIs • Partner with Data Architect to enable attribution, segmentation, and activation capabilities across business teams • Collaborate with product, lifecycle, and marketing teams to democratize insights and improve engagement through data-driven solutions • Coach engineers and BI team members on best practices for building large-scale and governed data platforms Qualifications: • Bachelor’s degree in STEM field (required) • Excellent communicator and collaborator, able to connect technical solutions with business outcomes • Demonstrated ability to deliver solutions under evolving data conditions • Strong problem-solving and analytical skills with intellectual curiosity • Preferred: Experience with marketing technology stacks, CDPs (mParticle, Hightouch), ML platform integrations, experimentation frameworks, and front-end/full-stack development • Familiarity with binary serialization formats (Parquet, Avro, Thrift) a plus.