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Abstra

Senior Data Engineer

Abstra

IT Services and IT Consulting · 51-200 employees

Jul 13
Remote data-engineer Senior (5-10 yrs) Contractor Full-time
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About the role

You will own data engineering projects end-to-end, collaborating with Product Managers to define requirements and implement scalable solutions. Additionally, you will focus on system performance and stability while participating in code reviews to ensure high-quality, maintainable code.

What they look for

Data Engineering Big Data Pipelines Spark Java Scala RESTful APIs Git Agile Scrum Unit Testing Integration Testing Functional Programming Cyber Security Back-end Systems

Requirements

Candidates must have at least 5 years of experience in data engineering and building big data pipelines, along with proficiency in Spark and strongly-typed languages like Java or Scala. Experience in agile environments and the ability to design RESTful APIs are also required.

Benefits

Flexible working hours Remote work options Professional growth and development Collaborative and inclusive work environment Hardware and software setup

Full description

We are looking for a Senior Data Engineer who thrives on building commercial products and plays a key role in delivering reliable, scalable, and maintainable applications. You will own projects end-to-end, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment. You'll focus on simplicity while contributing technical insights to enhance the system's performance, stability, and user experience.

Location:  LATAM 100% Remote. Working hours are based on the US Pacific Time Zone.

About Us:

Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.

Required Qualifications:

  • 5+ years of experience working in the Data Engineering space, and with building and maintaining big data pipelines
  • 3+ years of experience working in agile environments (ideally Scrum), collaborating with cross-functional teams (engineering, design, product).
  • Proficient in Spark
  • Experience with strongly-typed languages (Java / Scala preferred)
  • Experience designing, building, and maintaining RESTful APIs and integrating with external services.
  • Participate in code reviews to ensure best practices, maintainability, and continuous improvement of the codebase.
  • Ability to write and maintain unit and integration tests based on acceptance criteria, ensuring code quality and reliability.
  • Proficiency with version control tools, particularly Git, for collaborative development and code management.

Preferred Qualifications: 

  • Strong understanding of building scalable and high-performance back-end systems, optimizing for low-latency and high-throughput.
  • Worked with a variety of data (structured/unstructured), data formats (flat files, XML, JSON, relational, parquet).
  • Experience in functional programming languages (Scala preferred)
  • Experience in Cyber Security

What We Offer:

  • Flexible working hours and remote work options.
  • Opportunities for professional growth and development.
  • A collaborative and inclusive work environment.
  • The chance to work on impactful projects with a talented team.
  • Excellent compensation in USD.
  • Hardware and software setup (mandatory).

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