Senior AWS Data Engineer for Cloud-Native Pipelines

Proxify; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible monthly payments

8-hour client workdays

Up to 24 flex days off per year

Exclusive long-term remote roles

Consistent monthly pay via Proxify

Job summary

Proxify is seeking a Senior Data Engineer to design and optimize cloud-native data pipelines and data warehouses using AWS, Python, and modern ETL/ELT practices. You will work on scalable architectures supporting analytics, ML, and BI initiatives for clients.

The role requires 5+ years in data engineering, deep AWS service expertise, Snowflake/Redshift/BigQuery experience, and strong SQL. CET timezone alignment is preferred; remote opportunities available.

Qualifications

• 5+ years of professional experience in data engineering.
• Expert proficiency in Python for data manipulation, scripting, and pipeline development (Pandas, PySpark).
• Deep hands-on experience with the AWS cloud platform, specifically core data services (S3, Glue, Lambda, EMR).
• Proven experience with modern data warehouses (Snowflake, Redshift, BigQuery).
• Strong SQL skills and query optimization.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Fluent English communication skills.
• Located in CET timezone (+/- 3 hours) or willingness to work with CET overlap.
• Nice to have: IaC with Terraform or CloudFormation; Airflow; Kafka/Kinesis/Flink; AWS certifications.

Responsibilities

• Architect, implement, and maintain scalable data pipelines (ETL/ELT) using Python and native AWS services to ingest data into data lakes and warehouses.
• Serve as SME for core AWS data services (S3, Glue, EMR, Kinesis/MSK, Redshift).
• Design robust data models (star/snowflake/data vault) for analytics and reporting.
• Perform performance tuning and query optimization on large datasets in cloud data warehouses.
• Implement IaC with Terraform or CloudFormation and integrate pipelines into CI/CD processes.
• Establish data quality monitoring, logging, alerting, and governance standards across the data platform.

Skills

Python

SQL

ETL/ELT design

Fluent English

Tools

AWS

Snowflake

Redshift

BigQuery

PySpark

Terraform

CloudFormation

Airflow

Docker

Kubernetes

Kafka

Kinesis

Flink

Job description

Proxify is seeking a Senior Data Engineer to design and optimize cloud-native data pipelines and data warehouses using AWS, Python, and modern ETL/ELT practices. You will work on scalable architectures supporting analytics, ML, and BI initiatives for clients.

The role requires 5+ years in data engineering, deep AWS service expertise, Snowflake/Redshift/BigQuery experience, and strong SQL. CET timezone alignment is preferred; remote opportunities available.