About the role
We are looking for a Data Platform Engineer to modernize, migrate, and maintain reliable data-platform infrastructure across cloud and enterprise environments.
The mandatory requirements are 3+ years of senior-level production data-platform engineering experience, strong Python, Bash and SQL, AWS, Snowflake and Kafka/Confluent expertise, production migration and operations, secure access practices, troubleshooting, and upper-intermediate English. Legacy data migration experience is a plus.
Must haves
- 3+ years of senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience.
- Strong Python, Bash, and SQL skills
- Production experience with both Snowflake and Confluent/Kafka, with a focus on DevOps and operations. Deep experience in one and working knowledge of the other is fine:
- Deep Snowflake and AWS, with working Kafka knowledge (topics, connectors, schemas), OR
- Deep Kafka/Confluent and AWS, with working Snowflake knowledge.
- Experience operating or migrating production systems across development, stage, and production environments.
- Strong troubleshooting, incident-response, testing, documentation, and cross-team communication skills.
- Experience with least-privilege access, change control, secrets handling, and secure operational practices.
- Strong cross-functional communication skills.
Nice to haves
- Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads
- Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools
- Migrating legacy Airflow, Hadoop or Hive workloads to cloud-native or managed platforms
- Experience working across a company migration or acquisition and aligning systems to a new organization's standards
- Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns.
What you will do
- Help migrate Glassdoor infrastructure and data-platform workloads from GD infrastructure to Indeed infrastructure.
- Help move the data-platform infrastructure and workloads to AWS us-east-2 (USE2), including required connectivity, deployment, and operational prerequisites.
- Enable secure, governed accessibility of Glassdoor data to Indeed data-platform consumers and downstream systems.
- Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with Indeed standards.
- Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
- Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination.
- Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes.
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
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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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