Senior Data Engineer

Qode's Client; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer to join their growing team focused on building modern data platforms on the cloud. This role requires expertise in designing scalable data pipelines and experience with AWS tools while working collaboratively with top engineers. The ideal candidate will have a strong background in data engineering with a passion for solving complex data problems and cloud technologies.

Benefits

Access to AWS training and certifications

Career mentoring

Company trips and social events

Collaborative team culture

Remote flexibility

Qualifications

• 4–5+ years of experience in data engineering or backend roles.
• Proficient in SQL and Python; able to write production-ready code.
• Solid hands-on experience with AWS.

Responsibilities

• Design, build, and optimize scalable data pipelines on AWS.
• Develop robust ETL/ELT workflows using Airflow, Glue, etc.
• Implement real-time data streaming using Kafka or Flink.

Skills

SQL

Python

Cloud infrastructure

ETL/ELT workflows

Real-time data processing

Tools

Airflow

Glue

DBT

Fivetran

Kafka

Redshift

PostgreSQL

Job description

This is a position we're hiring for on behalf of our client.

Are you ready to build modern data platforms on the cloud? Our client is on a mission to modernize the way businesses use data. As an award-winning AWS Advanced Consulting Partner, they help clients transition from legacy to next-gen infrastructure using Cloud, DevOps, and AI.

They're growing their Data Engineering team and are looking for a Senior Data Engineer who’s excited to work on real-time pipelines, data lake houses, and scalable cloud-native platforms.

If you enjoy solving complex data problems and want to work with cutting-edge AWS tools while collaborating with top engineers, this is your next step.

• Design, build, and optimize scalable data pipelines and architectures on AWS.
• Develop robust ETL/ELT workflows using tools like Airflow, Glue, DBT, and Fivetran.
• Implement real-time data streaming and batch processing using Kafka, Flink, or Beam.
• Collaborate with cloud and DevOps engineers to deploy secure, reliable data solutions.
• Tune and troubleshoot performance of large datasets in Redshift, PostgreSQL, etc.
• Participate in code reviews and mentor junior team members (if applicable).
• Work closely with the CTO and Solution Architects to define technical direction.

What You Bring

• 4–5+ years of experience in data engineering or backend engineering roles
• Proficient in SQL and Python; comfortable writing modular, production-ready code.
• Solid hands-on experience with at least one major cloud platform (AWS preferred).
• Familiarity with tools like Airflow, Glue, DBT, Fivetran, or Talend.
• Comfortable with real-time processing (Kafka, Flink) and orchestration frameworks.
• Experience working with modern data warehouses (Redshift, BigQuery, Snowflake) and lakes.
• Curiosity to explore, learn, and adopt new data technologies.
• Meaningful projects with large enterprises and digital-native clients across industries.
• Be part of a young, fast-moving team at the forefront of cloud transformation in Southeast Asia.
• Access to training and AWS certifications, bootcamps, and career mentoring.
• Work in a multicultural environment with global exposure and remote flexibility.
• Company trips, social events, and a collaborative team culture.
• Competitive salary, performance bonuses, and a comprehensive benefits package.

If you're excited about cloud data technologies and want to shape the data future of innovative organizations, we’d love to hear from you.