AWS Data Engineer (Senior) (Freelancer)
Description
Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract. This is a senior freelance role in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters. Customers come to us after a data program has stalled — pipelines nobody trusts, warehouses nobody runs new workloads on, a modernization that produced diagrams instead of production systems. Aedeon handles automated source discovery, schema mapping, lineage extraction, and parallel-run validation. You take the work that needs a senior engineer's judgment: pipeline builds on EMR and Glue, data models for Redshift, Snowflake, Athena, and Presto, Airflow orchestration, and the troubleshooting that gets a system stable enough to cut over. Freelance here means real delivery work on real engagements — not staff augmentation into someone else's backlog. What you will do? Build and maintain data pipeli --- Source: jobicy - Mactores
