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AWS Data Engineer with Databricks & Snowflake (reconciliation experience

Ztek ConsultingUnited States🇺🇸United StatesPosted 24 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
SQLAWSETLSnowflakeDatabricksKafkaPython

Job Description

Hi,

I would like to share an excellent opening for a Contact AWS Data Engineer with Databricks & Snowflake (reconciliation experience) do go through the details and kindly send me the updated resume.

Location : Remote
Type of Hire : Contract
Mode of interview: WebEx / Teams

  • 5+ years data engineering experience (no upper cap)
  • Core stack: Databricks, Spark, Snowflake, AWS (S3, Lambda, SQS/Kafka)
  • Strong data modeling: canonical data models, schema design, warehouse architecture
  • ETL pipeline development and management
  • Data quality, governance, security, and compliance
  • Front-end/reporting layer experience a plus in some use cases
  • Python required alongside SQL

Domain and Soft Skills

  • Finance domain experience strongly preferred, especially reconciliation
    • Bank-to-book recon: platform transactions vs. bank statements
    • Key data: bank/cash balances, payments, EFT, bank transfers
    • Recon or EFT experience would stand out
  • Tribu/NetSuite not mandatory; learned on the job
  • Proactive, independently operating (expected by years 4-5)
    • Should assess gaps, flag issues, manage time without hand-holding
  • AI-forward mindset with demonstrated examples
  • Collaborative, can-do attitude aligned with Coinbase tenets

Interview Process

  • Three rounds: technical deep-dive, functional, hiring manager
  • No CodeSignal assessment; may be asked to write SQL/code snippets in technical round
  • Focus areas: SQL, data pipelines, Snowflake, Databricks, Spark/Kafka

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