About the role

We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.

The mandatory requirements are 3+ years of Python, advanced SQL, Snowflake modeling, Airflow, Kafka, Spark/PySpark, Iceberg, Parquet, AWS S3, testing/debugging, 2+ years with large-scale Airflow/Spark data, overlap until 12 PM Pacific Time, and upper-intermediate English. Snowflake/Airflow migrations and AI tools are a plus.

Must haves

  • Strong software engineering fundamentals.
  • 3+ years of hands-on Python development experience.
  • Advanced SQL, including complex joins, CTEs, window functions, and performance tuning.
  • Snowflake data modeling.
  • Apache Airflow — developing and testing pipelines in Airflow and Python.
  • Apache Kafka.
  • Apache Spark, including hands-on PySpark experience.
  • Iceberg and Parquet data formats.
  • AWS experience, particularly S3 (data lakes, partitioning, and lifecycle policies).
  • Testing strategy experience, with the ability to hands-on debug and test code.
  • At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.
  • Overlap until 12 PM Pacific Time.
  • Upper-intermediate English level.

Nice to haves

  • Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost optimization).
  • Experience with Apache Airflow migrations (version upgrades, executor changes, or platform migrations).
  • Experience using AI tools for development.

What you will do

  • Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort.
  • Execute the migration of approximately 1,000 datasets to Snowflake.
  • Adapt existing pipelines to Snowflake, following the core architecture and technical approach defined by the internal team.
  • Ensure data quality and reliability throughout the migration process.
  • Support workflow scheduling and monitoring in Apache Airflow 3.
  • Execute time-sensitive migrations, including Airflow 2 to 3, Confluent region migration, and the move to Iceberg.
  • Help accelerate the migration initiatives targeted for completion by the end of March 2027.

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.

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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?

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

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