What Does a Data Engineer Do?
Data Engineers are responsible for developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems. They work closely with data scientists to develop a streamlined flow of data and manage the infrastructure that stores this information. Data Engineers design database solutions for the retrieval of data and implement ETL processes (extract, transform, load) that allow different systems to communicate effectively with each other. By ensuring these processes are efficient and effective, they support decision-making within organizations by providing clean and accessible data to analysts and stakeholders. To excel in their role, Data Engineers need strong programming skills such as SQL or Python, knowledge of big data tools like Hadoop or Spark, and an understanding of cloud services like AWS or Azure for building scalable solutions in distributed environments while adhering to security standards.
Key Responsibilities
- Design, build, and maintain database architectures and large-scale data processing systems
- Develop and manage ETL (extract, transform, load) pipelines across systems
- Collaborate closely with data scientists to streamline the flow of data
- Manage and optimize infrastructure that stores and processes organizational data
- Ensure data is clean, accessible, and reliable for analysts and stakeholders
- Build scalable solutions in distributed and cloud environments
- Implement security standards across data pipelines and storage systems
Skills & Qualifications to Look For
- Strong programming skills in SQL and Python
- Experience with big data tools such as Hadoop or Spark
- Familiarity with cloud platforms like AWS or Azure
- Understanding of database design and ETL pipeline architecture
- Knowledge of data security and compliance best practices
- Strong collaboration skills for working closely with data scientists and analysts
Why Hire a Data Engineer Through Howdy
Hiring a Data Engineer through Howdy means tapping into the top 1% of Latin American tech talent, pre-vetted for technical skill, English fluency, and cultural fit. With a 98% retention rate, the Data Engineer you hire through Howdy sticks around for the long haul, backed by Howdy Communities that give your LatAm team members a local space to collaborate in person. We handle sourcing, vetting, onboarding, payroll, and compliance, so you can focus on building your team instead of managing the paperwork behind it. Hiring nearshore also means real savings: companies typically cut costs by 30–70% compared to hiring the same role in the US, without sacrificing quality or communication.
How to Hire a Data Engineer with Howdy
Getting started is straightforward. Tell Howdy what you need in a Data Engineer, including skills, seniority, and team fit, through the Howdy App or by booking a free demo. We'll match you with pre-vetted LatAm candidates within days, so you can interview and select the person who's the best fit for your team. Once you've made your choice, Howdy manages onboarding, contracts, payroll, benefits, and compliance across every country we operate in, so your new Data Engineer can start contributing right away. From there, our team stays involved, offering ongoing support so your new hire, and your business, keep growing together.
