Senior Data Engineer (AWS, Python & SQL)

Devsu; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Private health insurance

Flexible schedule

Remote-friendly culture

Continuous training

Job summary

Dewu? Devsu is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms supporting analytics, ecommerce, logistics, and marketing initiatives.

The role focuses on developing robust data pipelines, enhancing data infrastructure, and ensuring high-quality data solutions in an AWS environment. Collaboration with cross-functional teams is essential.

Qualifications

• 4+ years of experience as a Data Engineer with modern data technologies.
• Strong proficiency in Python and SQL.
• Experience processing large-scale datasets.
• Hands-on experience with Apache Spark and Apache Airflow.
• Experience designing and architecting data processing systems in AWS.
• Experience with Redshift and/or Snowflake.
• Knowledge of Fivetran or similar data ingestion tools.
• Strong understanding of data quality, automation, and data engineering best practices.
• Excellent communication and interpersonal skills.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
• Improve and maintain the data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran.
• Architect data processing systems capable of handling large-scale datasets.
• Develop reliable, efficient, and cost-effective data solutions in an AWS environment.
• Ensure high standards of data quality through automation and best practices.
• Optimize platform performance, resiliency, and operational costs.
• Collaborate with software engineers, analysts, and stakeholders.
• Mentor engineers and analysts on data engineering best practices.
• Participate in architecture discussions and technical decision-making.

Skills

Python

SQL

Apache Spark

Apache Airflow

AWS

Redshift

Snowflake

Fivetran

Data quality

Communication

Tools

Redshift

Snowflake

Fivetran

Kafka

AWS Kinesis Firehose

Job description

Location: Honduras

We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, ecommerce, logistics, and marketing initiatives. This role will be responsible for developing robust data pipelines, improving the data infrastructure, and ensuring high-quality, reliable data solutions in an AWS environment. The ideal candidate has strong expertise in Python, SQL, Spark, Airflow, and cloud-based data architectures, along with excellent communication skills and a collaborative mindset.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
• Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran.
• Architect data processing systems capable of handling complex data flows and large-scale datasets.
• Develop reliable, efficient, and cost-effective data solutions in an AWS environment.
• Ensure high standards of data quality through automation and best engineering practices.
• Optimize platform performance, resiliency, scalability, and operational costs.
• Collaborate closely with software engineers, analysts, and business stakeholders.
• Mentor engineers and analysts on data engineering best practices.
• Participate in architecture discussions and technical decision-making.

Requirements

Must Have

• 4+ years of experience as a Data Engineer working with modern data technologies.
• Strong proficiency in Python and SQL.
• Experience processing large-scale datasets.
• Hands‑on experience with Apache Spark and Apache Airflow.
• Experience designing and architecting data processing systems in AWS.
• Experience with Redshift and/or Snowflake.
• Knowledge of Fivetran or similar data ingestion tools.
• Strong understanding of data quality, automation, and data engineering best practices.
• Excellent communication and interpersonal skills.

Nice to Have

• Experience with streaming technologies such as Kafka or AWS Kinesis Firehose.
• Knowledge of Docker and/or Kubernetes.
• Familiarity with Ruby or R.
• Experience building or migrating a Data Warehouse.
• Experience leading projects or mentoring technical teams.

Benefits

A stable, long‑term contract. Continuous Training. Private Health insurance. Flexible schedule. Work with some of the most talented software engineers in Latin America and the US, doing challenging work and world‑class software for clients in the US and around the world.

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy:

A stable, long‑term contract with opportunities for career growth

Private health insurance

A remote-friendly culture that promotes work‑life balance

Continuous training, mentorship, and learning programs to keep you at the forefront of the industry

Free access to AI training resources and state‑of‑the‑art AI tools to elevate your daily work

A flexible Paid Time Off (PTO) policy as well as paid holiday days

Challenging, world‑class software projects for clients in the US and LatAm

Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment

Join Devsu and discover a workplace that values your growth, supports your well‑being, and empowers you to make a global impact.