About the role
We are looking for a Data Engineer to own ETL pipelines that power institutional analytics for colleges and universities. This person designs and maintains data workflows using SQL, Python, and Apache Airflow, moving data from source systems into a cloud data warehouse. Comfort adapting shared pipelines for individual clients while keeping code clean matters here.
What you will do
- Design, build, and maintain ETL pipelines and data workflows across multiple environments (development, staging, and production).
- Implement and extend data models and datasets to support analytical and reporting needs.
- Adapt and customize shared data pipelines for individual clients while maintaining a clean, reusable codebase.
- Monitor and support production data pipelines, investigate failures, and deliver fixes in a timely manner.
- Write and maintain database DDL, data validation queries, and deployment scripts.
- Contribute to platform modernization initiatives, including infrastructure upgrades and adoption of new data technologies.
- Collaborate with client teams, analysts, and stakeholders to gather requirements and deliver solutions.
Must haves
- 3-4 years of experience in data engineering or a closely related software engineering role.
- Strong SQL, including complex joins, window functions, and dimensional / star-schema modeling.
- Strong Python programming skills.
- Hands-on Apache Airflow experience (DAGs, operators, scheduling, and troubleshooting failed jobs).
- Working knowledge of ETL patterns and cloud data warehouse design (Amazon Redshift or similar: Snowflake, BigQuery, Synapse).
- Git and GitLab (or GitHub/Bitbucket) for day-to-day version control.
- Docker / Docker Compose.
- Understanding of data management concepts.
- Ability to translate client and business requirements into SQL, configuration, and DAG changes.
- Upper-intermediate English level.
Nice to haves
- Familiarity with Tableau / Tableau Server REST API and/or PowerBI and associated APIs a plus.
- Familiarity with Spark.
- Familiarity with Amazon Redshift or another columnar warehouse.
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.
A quick note
After applying, keep an eye on your inbox — including your spam folder. Occasionally, emails from our hiring platform, LaunchPod, may land there.
Tell us about yourself
Submit a short application form.
Pass a quick test
Pass a 30’- 60’ test.
Record a short video
Introduce yourself on video to fast-track your application process.
Meet our team
Once you pass the video review, grab a spot on our calendar for a technical interview.
Get an offer
Welcome to AgileEngine!
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.
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