About the role

We are looking for a Senior Software Engineer to design scalable data processing systems using Spark and EMR. This person builds batch and distributed pipelines, working closely with AI and product teams to operationalize model-enabled use cases and prepare data for intelligent workflows. Strong architecture sense and comfort in data-intensive environments matter here.

What you will do

  • Design and develop scalable data processing solutions using Spark and EMR.
  • Build and maintain batch and distributed data pipelines.
  • Collaborate with engineering, AI, and product teams to operationalize data-driven and model-enabled use cases.
  • Develop software components for data transformation, feature preparation, and AI workflow integration.
  • Optimize pipeline performance, cost efficiency, and production reliability.
  • Troubleshoot data and application issues across development and production environments.
  • Contribute to architecture discussions, documentation, and engineering standards.
  • Ensure solutions align with data quality, governance, and security expectations.

Must haves

  • 4+ years of software engineering or data engineering experience.
  • Strong experience with Spark and distributed data processing.
  • Experience with Amazon EMR or similar cloud-based data processing platforms.
  • Proficiency in Java, Python, or related programming languages.
  • Exposure to AI or machine learning workflows, model integration, or data preparation for intelligent systems.
  • Strong understanding of scalable data architecture and performance optimization.
  • Strong debugging and collaboration skills.
  • Comfortable delivering in evolving, data-intensive environments.
  • Able to bridge software engineering and data engineering responsibilities.
  • Strong execution focus with practical architecture sense.
  • Upper-intermediate English level.

Nice to haves

  • Experience with Kafka, Airflow, data lakes, or warehouse ecosystems.
  • Familiarity with MLOps, feature stores, or AI platform integration.
  • Experience with AWS-native services and observability tooling.

Perks

  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well-being & support: access local well-being programs and people-focused support tailored to your location

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Hiring process timeline

We designed our hiring process to be fast, transparent, and convenient — so you always know what to expect and can move through the steps without unnecessary delays.

lightning-iconA quick note

After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.

1

Tell us about yourself

Submit a short application form.

2

Pass a quick test

Pass a 30’- 60’ test.

3

Record a short video

Introduce yourself on video to fast-track your application process.

4

Meet our team

Once you pass the video review, grab a spot on our calendar for a technical interview.

5

Get an offer

Welcome to AgileEngine!

FAQ

Have any questions?

What is the work format and schedule?

We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.

What level of English is required?

We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.

Does AgileEngine provide work equipment?

It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.

What opportunities for professional growth do you offer?

We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:

  • An annual learning and development budget
  • Internal workshops, tech talks, and mentorship programs
  • Opportunities to switch projects or grow into new roles over time

What does a typical team look like, and what tools do you use?

Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.

For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.

Need help?

Want more details? See full FAQ

If something doesn’t work or you have questions regarding your application process, drop us a line.

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