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.
What you will do
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Help migrate infrastructure and data-platform workloads from client infrastructure to new infrastructure;
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Help move the data-platform infrastructure and workloads to AWS, including required connectivity, deployment, and operational prerequisites;
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Enable secure, governed accessibility of data to data-platform consumers and downstream systems;
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Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with standards;
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Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production;
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Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination;
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Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes;
Must haves
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3+ years of experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience;
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Strong Python, Bash, and SQL skills;
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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;
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Experience operating or migrating production systems across development, stage, and production environments;
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Strong troubleshooting, incident-response, testing, documentation, and cross-team communication skills;
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Experience with least-privilege access, change control, secrets handling, and secure operational practices;
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Strong cross-functional communication skills;
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Upper-intermediate English level;
Nice to haves
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Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads;
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Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools;
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Migrating legacy Airflow, Hadoop or Hive workloads to cloud-native or managed platforms;
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Experience working across a company migration or acquisition and aligning systems to a new organization's standards;
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Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns;
Perks and benefits
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Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;
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Competitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities;
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A selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions;
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Flextime: Flexible schedule with remote and office options for work-life balance;
Meet Our Recruitment Process
Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:
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Short online form to confirm basic requirements
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30–60 minute skills assessment
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5-minute introduction video
Synchronous stage – Live interviews
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Technical interview with our engineering team (scheduled at your convenience)
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Final interview with your future teammates
If it’s a match—you’ll get an offer!
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