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Data Engineer / Data Analyst (Hybrid Role) – LATAM

LATAM

About Distillery

Distillery Tech Inc accelerates innovation through an unyielding approach to nearshore software development. The world’s most innovative technology teams choose distillery to help accelerate strategic innovation, fill a pressing technology gap, and hit mission-critical deadlines. We support essential applications, mobile apps, websites, and eCommerce platforms through the placement of senior, strategic technical leaders and by deploying fully managed technology teams that work intimately alongside our client’s in-house development teams. At Distillery Tech Inc, we’re not here to reinvent nearshore software development, we’re on a mission to perfect it. Distillery Tech Inc is committed to diversity and inclusion. We actively seek to cultivate a workforce that reflects the rich tapestry of perspectives, backgrounds, and experiences present in our society. Our recruitment efforts are dedicated to promoting equal opportunities for all candidates, regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity.


About the Position

We are seeking a skilled and motivated Data Engineer / Data Analyst for a hybrid role that blends data engineering with analytical insight. The ideal candidate will have strong SQL skills and experience in object-oriented programming, preferably using Scala or Python. This position requires someone who can thrive in a fast-paced environment, quickly learn new tools and technologies, and effectively troubleshoot data issues across systems. A solid understanding of data modeling, pipeline development, and the ability to communicate data-driven insights clearly are essential. Familiarity with tools like Databricks and Power BI is a plus, as well as experience with reverse engineering existing code and collaborating with client-facing teams to solve real-world data challenges.


Key Requirements:

  • Strong SQL skills
  • Experience with object-oriented programming (Scala or Python preferred)
  • Fast learner with the ability to quickly adapt to new tools and technologies
  • Good understanding of data modeling and pipeline development
  • Experience (or willingness to learn) tools like Databricks and Power BI
  • Solid analytical thinking and communication skills to understand and present data-driven insights
  • Ability to understand and troubleshoot data issues across different systems

Nice to Have:

  • Experience with reverse engineering: reading, understanding, and improving existing code and workflows
  • Previous experience working with client-facing teams or directly solving client data problems

Why You’ll Like Working Here

  • Collaborate with multi-national teams committed to our core values: Unyielding Commitment, Relentless Pursuit, Courageous Ambition, and Authentic Connection.
  • Enjoy a competitive compensation package, generous vacation, and comprehensive benefits.
  • Work remotely in a flexible, supportive environment.
  • Access professional and personal development opportunities to advance your career.