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Data Platform Engineer ID98943
AgileEngine
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Source date: 11/3/2026
About this role
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.