Data Platform Engineer ID98943

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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.

WHAT YOU WILL DO

• Help migrate infrastructure and data-platform workloads from the existing infrastructure to the new 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 data to data-platform consumers and downstream systems.
• Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with organizational 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.

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.

PERKS AND BENEFITS

Professional growth

Mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

USD-based pay with education, fitness, and team activity budgets.

Exciting projects

Modern solutions with Fortune 500 and top product companies.

Flextime

Flexible schedule with remote and office options.

Meet Our Recruitment Process

Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.