Semi Senior / Senior Data Engineer (AWS, Python & SQL)
At a glance
Senior Data Engineering role at Devsu. Remote, Honduras · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data pipelines for analytics, ecommerce, logistics and marketing workloads
- Improve the data platform and its tooling, including warehouse, orchestration and ingestion systems
- Design AWS processing systems for complex flows and large datasets, balancing reliability, efficiency and cost
- Automate data-quality checks and tune platform performance, resilience, scale and operating costs
- Work with engineers, analysts and business partners, and mentor them on data engineering practices
What you bring
- At least four years working as a data engineer with current data technologies
- Strong Python and SQL skills, plus practical work with Spark and Airflow
- Experience designing AWS data processing systems and handling large datasets
- Background with Redshift or Snowflake, and Fivetran or a comparable ingestion tool
- You understand data quality, automation and sound engineering practices, and communicate well
Who this fits
This senior role suits an experienced data engineer who can contribute to architecture decisions and guide engineers and analysts. It is a full-time remote position based in Honduras. The work calls for close collaboration with software engineers, analysts and business stakeholders.
From the employer
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.
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