Senior Data Engineer (AWS & Python)

Proxify; Ciudad de México; A distancia; MXN 1.442.480 - 2.163.721; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

On-time monthly payments

Flexible withdrawal options

Up to 24 flex days per year

Predictable 8-hour working days

Descripción de la vacante

A technology consulting firm is seeking a Senior Data Engineer to design and build scalable ETL/ELT pipelines. The ideal candidate has extensive experience in Python and AWS services, with a strong background in data modeling and cloud-based data warehouses. This position offers flexibility in a remote work setting, appealing to those seeking a balance between personal and professional life. Candidates should have a passion for data engineering and be excited about working on innovative projects.

Formación

• 5+ years of professional experience in data engineering.
• Proficient in Python for data manipulation and pipeline development.
• Deep hands-on experience with AWS services for data handling.
• Proven experience with modern data warehouses (e.g., Snowflake, Redshift).

Responsabilidades

• Architect and maintain scalable ETL/ELT data pipelines using Python and AWS.
• Design efficient data models for analytical needs.
• Implement infrastructure as code using Terraform or CloudFormation.
• Ensure data quality and governance standards across platforms.

Conocimientos

Python

AWS

SQL

ETL/ELT pipelines

Data modeling

Containerization

Docker

Kubernetes

Herramientas

Terraform

Apache Airflow

Kafka

Redshift

Snowflake

Descripción del empleo

Get AI-powered advice on this job and more exclusive features.

Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂

Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success.

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 be responsible for designing, building, and optimizing highly scalable and reliable ETL/ELT pipelines and data warehouses that power analytics, machine learning, and business intelligence for our clients.

What we’re looking for

• 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).

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.

Career-accelerating positions at cutting-edge companies

Discover exclusive long-term remote positions at the world's most exciting companies.

Hand‑picked opportunities, just for you

Skip the typical recruitment roadblocks and biases with personally matched positions.

One seamless process, multiple opportunities

A one-time contracting process for endless opportunities, with no extra assessments.

Compensation

Enjoy the same pay, every month with positions landed through Proxify.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

Location

Santo Domingo, Dominican Republic