Senior Data Engineer (Python)

Posted July 19, 2026

About this opportunity

Opportunity Overview

Proxify is hiring a Senior Data Engineer to work on a high-growth client product. The company connects top developers worldwide with job opportunities. This role is for someone with experience in building complex data processing applications using Python. The ideal candidate will architect and scale the data foundations for the client product. Proxify has worked with over 1200 clients and has a network of 5000 talented developers. The company values a growth-oriented mindset and a passion for working on new ideas. The Senior Data Engineer will be part of a global network of supportive developers. The role involves building and maintaining scalable ELT/ETL pipelines, implementing automated testing and monitoring, and optimizing warehouse storage and compute costs. The Senior Data Engineer will also partner with Data Scientists and Product Managers to translate business requirements into technical data models.

Responsibilities

Build and maintain scalable, automated ELT/ETL pipelines that provide a 'single source of truth' for the organization
Implement rigorous automated testing and monitoring to ensure data integrity and reliability
Optimize warehouse storage and compute costs while reducing pipeline latency
Partner with Data Scientists and Product Managers to translate business requirements into technical data models
Promote a 'DataOps' culture within the team, conducting code reviews and sharing best practices
Build real-time pipelines using Kafka or Flink
Work with dbt for managing the T in ELT, including documentation and testing
Use Apache Airflow, Prefect, or Dagster for managing complex dependency graphs
Work with Snowflake, BigQuery, or AWS Redshift
Apply Dimensional Modeling and Data Vault 2.0 principles
Use Git, Docker, and implement CI/CD for data pipelines
Work with Data Contracts and Data Quality frameworks like Great Expectations and Monte Carlo
Apply knowledge of Vector Databases for AI/LLM applications
Use Infrastructure as Code with Terraform

Benefits

On-time monthly payments with flexible withdrawal options
Predictable project hours with consistent 8-hour working days
Up to 24 flex days off per year without losing pay
Career-accelerating positions at cutting-edge companies
Hand-picked opportunities with personally matched positions
One seamless process for multiple opportunities
Same pay every month with positions landed through Proxify

Requirements & Qualifications

5+ years of experience building complex data processing applications using Python
Advanced SQL skills for complex transformations, window functions, and query optimization in cloud warehouses
Experience with dbt for managing the T in ELT
Proven experience with Apache Airflow, Prefect, or Dagster
Hands-on experience with Snowflake, BigQuery, or AWS Redshift
Strong understanding of Dimensional Modeling and Data Vault 2.0
Experience with Git, Docker, and implementing CI/CD for data pipelines
Experience building real-time pipelines using Kafka or Flink
Familiarity with Data Contracts and Data Quality frameworks
Knowledge of Vector Databases for AI/LLM applications
Experience with Infrastructure as Code using Terraform

How to Apply

Review the job description and requirements to ensure you are a good fit for the role.
Prepare your application materials, including your resume and any relevant work samples.
Click the Apply button below to submit your application.

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