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.
— Sarah J.
·
Marketing Manager
★★★★★
Verified
