Semi Senior / Senior Data Engineer (AWS, Python & SQL)

Job4Travelers; Boca Raton (FL); Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Access to AI tools

Flexible PTO and paid holidays

Remote-friendly culture and ongoing AI

Job summary

Devsu is seeking a Senior Data Engineer for a fully remote LATAM role, with overlap in US Eastern/Central time zones for collaboration. The position focuses on building scalable data platforms in AWS, using Python, SQL, Spark, and Airflow to support analytics, ecommerce, logistics, and marketing initiatives.

You will design data pipelines, evolve data infrastructure, and mentor other engineers while engaging in architecture discussions with cross-border teams.

Qualifications

• 4+ years of data engineering experience with modern data technologies.
• Strong Python and SQL proficiency.
• Hands-on with Apache Spark and Apache Airflow.
• Experience designing data processing systems in AWS.
• Experience with Redshift and/or Snowflake.
• Knowledge of Fivetran or similar data ingestion tools.
• Strong data quality, automation, and best practices.
• Excellent communication and collaboration.

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.

Skills

Python

SQL

Apache Spark

Apache Airflow

AWS

Tools

Redshift

Snowflake

Fivetran

Kafka

AWS Kinesis Firehose

Docker

Kubernetes

Ruby

R

Job description

Senior Data Engineer at Devsu - Remote LATAM Role — Remote

Remote Flexibility: Devsu explicitly promotes a remote-friendly culture, making this role a strong candidate for location-independent work. However, since the company serves US and LatAm clients, expect some overlap with US Eastern or Central time zones for meetings and collaboration. Full async is unlikely for a senior role involving architecture discussions and mentoring.

Location Constraints: The role is hinted at Honduras, suggesting the company hires across Latin America. If you hold a passport from a LATAM country, you may work from destinations offering digital nomad visas such as:

• Costa Rica – "Rentista" or digital nomad visa, stable infrastructure, UTC-6
• Colombia (Medellín) – Digital nomad visa available, low cost of living ~$1,200–1,800/month, UTC-5
• Portugal (Lisbon) – EU D8 digital nomad visa, though timezone overlap with US clients requires late-evening hours

Perks for Nomads: No specific coworking stipend or equipment budget is mentioned, but access to AI tools and a flexible PTO policy are nomad-friendly. The long-term contract nature provides income stability for visa applications requiring proof of income.

Practical Tip: Prioritize LATAM hubs (Medellín, Mexico City, Buenos Aires) to maintain comfortable US timezone overlap without sacrificing quality of life or cost efficiency.

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 is responsible for developing robust data pipelines, improving 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.
• 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.
• 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.

Is this Senior Data Engineer role fully remote? Yes, Devsu promotes a remote-friendly culture. The role appears to be fully remote, though some timezone overlap with US clients is likely given the client base in the US and LatAm. What is the required experience level for this position? The role requires 4+ years of experience as a Data Engineer working with modern data technologies, including Python, SQL, Apache Spark, Apache Airflow, and AWS. Is a salary range disclosed for this role? No specific salary range is listed in the job posting. Candidates should inquire directly with Devsu during the interview process. What countries are eligible to apply for this position? The role is hinted as based in Honduras, and Devsu typically hires across Latin America. Engineers from LATAM countries working with US clients are encouraged to apply. Does the role involve mentoring responsibilities? Yes, the Senior Data Engineer is expected to mentor engineers and analysts on data engineering best practices and participate in architecture and technical decision-making discussions.

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