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Cloud Data Engineer

Job in New York City, Richmond County, New York, 10261, USA
Listing for: aKUBE
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 82 USD Hourly USD 82.00 HOUR
Job Description & How to Apply Below

Overview

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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
  • Strong experience with Py Spark
  • Experience with AWS services:
    Redshift, S3, Dynamo

    DB, Sage Maker, 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.
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology, Engineering, and Other
Industries
  • Information Technology & Services, Broadcast Media Production and Distribution, and Technology, Information and Media
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