Senior Data Engineer (AWS & Python)

Proxify; Town of Poland (NY); Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

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Up to 24 flex days off per year

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Job summary

A remote staffing platform is seeking a Senior Data Engineer to design and optimize scalable ETL/ELT pipelines using AWS and Python. The ideal candidate will have extensive experience in data engineering, particularly with AWS services and modern data warehouses. This position offers a chance to work with exciting clients while enjoying a flexible work-life balance and predictable project hours.

Qualifications

• 5+ years of professional experience in data engineering.
• Expert proficiency in Python for data manipulation and scripting.
• Deep hands-on experience with core AWS services.
• Proven experience with modern data warehouses.

Responsibilities

• Architect and maintain scalable data pipelines using Python and AWS.
• Serve as the subject matter expert for AWS data services.
• Design efficient data models for analytical needs.
• Implement infrastructure as code using Terraform.

Skills

Python for data manipulation

AWS services (S3, Glue, Lambda, EMR)

SQL and complex query optimization

Containerization and orchestration (Docker, Kubernetes)

Infrastructure as Code (Terraform, CloudFormation)

Data streaming technologies (Kafka, Kinesis)

Job description

Senior Data Engineer

Proxify is a platform that connects top developers worldwide to remote full‑time opportunities.

The Role

We are looking for a Senior Data Engineer specializing in modern, cloud‑native data platforms, with a strong focus on Amazon Web Services (AWS) and Python. You will design, build, and optimize highly scalable and reliable ETL/ELT pipelines and data warehouses that power analytics, machine learning, and business intelligence for our clients.

Qualifications

• 5+ years of professional experience in data engineering
• Expert proficiency in Python for data manipulation, scripting, and pipeline development (e.g., Pandas, PySpark)
• Deep hands‑on experience with the AWS cloud platform, specifically the core services used for data ingestion, storage, and processing (S3, Glue, Lambda, EMR)
• Proven experience working with modern data warehouses (Snowflake, Amazon Redshift, or Google BigQuery/Azure Synapse)
• Solid expertise in SQL and complex query writing/optimization
• Strong understanding of containerization and orchestration concepts (Docker, Kubernetes)
• Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones

Nice-to-have

• Experience with Infrastructure as Code (Terraform or CloudFormation)
• Proficiency with a modern orchestration tool like Apache Airflow
• Familiarity with data streaming technologies (Kafka, Kinesis, or Flink)
• AWS certifications

Responsibilities

• Architect, implement, and maintain scalable data pipelines (ETL/ELT) using Python and native AWS services to ingest data from various sources (APIs, databases, streaming services) into data lakes and warehouses.
• Serve as the subject matter expert for the core AWS data services, including S3, Glue, EMR, Kinesis/MSK, and Redshift or Amazon Aurora.
• Design robust and efficient data models (e.g., star schema, snowflake, data vault) for analytical and reporting needs.
• Perform performance tuning and query optimization on large datasets within cloud data warehouses to ensure fast data delivery.
• Implement infrastructure as code (IaC) using Terraform or CloudFormation, and integrate data pipelines into modern CI/CD processes.
• Establish data quality monitoring, logging, alerting, and governance standards across the data platform.

What we offer

Get paid, not played

No more unreliable clients. Enjoy on‑time monthly payments with flexible withdrawal options.

Predictable project hours

Enjoy a harmonious work‑life balance with consistent 8‑hour working days with clients.

Flex days, so you can recharge

Enjoy up to 24 flex days off per year without losing pay, for full‑time positions found through Proxify.

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One seamless process, multiple opportunities

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Compensation

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