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Data Engineer

Job in Montevideo, Chippewa County, Minnesota, 56265, USA
Listing for: Blend360
Full Time position
Listed on 2026-02-27
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Montevideo

Company Description

Are you looking for an opportunity to jump-start your career in a thriving tech industry? Join us at Blend grow our business and execute our mission to help organizations leverage data and technology to make better decisions. With over 10 years of experience in the field of big data, top US customers such as Mastercard, Tripadvisor, and Roku choose us to develop innovative products.

Overview

What is this position about?

As a Data Engineer, you will focus on building and optimizing scalable data pipelines that power analytics and data-driven decision-making. You’ll work primarily with Python, SQL, and Spark to process large volumes of data efficiently and reliably. This role is ideal for someone who enjoys scripting, testing, and fine-tuning performance while collaborating with cross-functional teams.

Responsibilities
  • Design, develop, and maintain scalable data pipelines using Spark and Python.

  • Write efficient SQL for data transformation, aggregation, and extraction across large datasets.

  • Implement unit tests and validation checks to maintain data integrity across workflows.

  • Develop scripts and automation for recurring data processing tasks.

  • Collaborate with cross-functional teams to support a variety of data-driven projects.

  • Participate in code reviews, design discussions, and architecture decisions.

  • Troubleshoot and optimize Spark jobs for performance and reliability.

  • Read and interpret Scala code when integrating or maintaining legacy data processes.

Qualifications
  • Studies in Computer Science, Engineering, or a related field, or equivalent experience.

  • Hands-on experience with Python and SQL in a data engineering context.

  • Experience with Spark for distributed data processing.

  • Familiarity with a scripting language such as Bash or Shell for automation tasks.

  • Comfortable writing and maintaining unit tests for data pipelines.

  • Experience working with AWS services for data storage or processing.

  • Familiarity with Elasticsearch for indexing and searching data.

  • Ability to read and understand Scala code.

  • What about languages?

    You will need excellent written and verbal English for clear and effective communication with the team.

Benefits
  • Our perks and benefits:

  • Every day lunches! (headquarters)

  • Vegetarian, vegan, gluten and sugar free options.

  • Gourmet meals every Friday with our on-site chef!

  • Flexible working options to help you strike the right balance.

  • All the equipment you need to harness your talent (Macbook and accessories).

  • Snacks and beverages available everyday (headquarters).

  • After office events, football, tennis and game nights (headquarters).

  • Everyone is welcome to join our football league every Wednesday and Friday.

  • Challenge your teammates to a pool game and win the office’s trophy!

  • Tennis courts available for friendly matches.

  • You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!

  • Learning opportunities:

  • AWS Certifications (we are AWS Partners).

  • Study plans, courses and other certifications.

  • English Lessons.

  • Learn from your teammates on our Tech Tuesdays!

  • Mentoring and Development opportunities to shape your career path.

  • Anniversary and birthday gifts.

  • Great location and even greater teammates!

Next steps

So what are the next steps?

Our team is eager to learn about you! Send us your resume or Linked In profile below and we’ll explore working together!

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