Cloud Data Engineer

aKUBE; New York (NY); On-site; USD 93,194 - 132,731; Part time

Job summary

A leading tech company is seeking a mid-senior level Data Engineer to design and maintain data pipelines, integrating multiple data sources. The ideal candidate has strong Python development skills, significant experience with big data projects, and knowledge of AWS services. This contract position offers up to $82/hr and is based in New York, NY.

Qualifications

• 4+ years of experience in big data and/or data intensive projects.
• Strong knowledge of data engineering practices: data pipelines, ETL, data governance.
• Excellent communicator and collaborator.

Responsibilities

• Design, build, and maintain batch and real-time data pipelines.
• Lead the evolution of BI Delta Lake infrastructure.
• Develop data catalogs and monitoring solutions.

Skills

Big data projects experience

Python development

PySpark

AWS services (Redshift, S3, etc.)

ETL and data governance

APIs and data wrangling

Education

Bachelor’s degree in STEM field

Tools

Databricks

Snowflake

Jenkins

Job description

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 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.

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