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.
Every database migration has a layer the tools can't finish. AWS SCT converts what it can and flags the rest, the SQL that ran fine on the source engine and behaves differently on the target, the logic no one documented. Senior engineers own the hardest of those calls; this role is where you build toward that, working through the conversion, validation, and reconciliation work with support from senior team members on the calls that need more judgment.
As our Database Migration Engineer, you'll work inside our Application & Database Modernization pillar, supporting hands-on migration work across engagements (Oracle-to-PostgreSQL/Aurora and SQL Server-to-PostgreSQL, depending on project). Aedeon and AWS tooling absorb the repeatable conversion and regression work; you'll handle the conversion, testing, and reconciliation tasks directly, and work closely with senior engineers on the more complex SCT findings and performance edge cases. You'll work with application teams, cloud engineers, and customer stakeholders under the guidance of a lead engineer to land migrations that perform, reconcile, and hold up after go-live.
What you'll do?
Convert SQL, stored procedures, and database objects to PostgreSQL-compatible SQL/PLpgSQL, escalating complex or ambiguous cases to a senior engineer.
Work through AWS SCT (Schema Conversion Tool) findings, flagging limitations that need senior review.
Maintain the Flyway migration codebase: versioned scripts, repeatable migrations, rollbacks.
Identify and troubleshoot database-related application bugs, with support on the harder cases.
Support query optimization for PostgreSQL: execution plans, indexing, query rewrites.
Monitor AWS DMS during full load and CDC phases and flag issues to the lead engineer.
Assist in diagnosing DMS data and performance issues.
Validate and reconcile data between source and target databases, proof, not confidence.
Work with application teams to align SQL behavior and performance expectations before cutover.
What you'll bring?
A Bachelor's degree in Computer Science or a related field.
3–5 years of experience as a database developer/engineer, with exposure to migration work.
Working experience with at least one of: Oracle, Microsoft SQL Server, and PostgreSQL / Aurora PostgreSQL.
Some hands-on exposure to database migration projects (Oracle-to-PostgreSQL or SQL Server-to-PostgreSQL).
Solid SQL skills and a working understanding of query performance tuning.
Familiarity with AWS SCT and AWS DMS (hands-on exposure preferred, not required).
Awareness of schema migration tools such as Flyway or Liquibase.
Working knowledge of PostgreSQL fundamentals: indexing, execution plans.
You'll be preferred if you've:
Familiarity with AWS services: RDS/Aurora, CloudWatch, IAM.
Familiarity with automation/config tools such as Ansible, Chef, or Puppet.
Familiarity with IaC tools such as Terraform or CloudFormation.
AWS Certified Database – Specialty or AWS Certified Solutions Architect (nice to have, not required).
How we work?
Aedeon absorbs the discovery, mapping, and validation grind — the 60–70% of hours a traditional consulting engagement of equivalent scope staffs for. Your hours go where the tools stop: conversion judgment, cutover strategy, and the procedural-code gaps only an engineer can close. We commit to fixed delivery dates and absorb the overage cost for delays inside our control, so the runbook you write and the cutover you run carry real weight. You embed with the customer's team and own the outcome — not a workstream, the outcome.
Compensation
Additional Information
Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
Be one step ahead
Deliver the best
Be bold
Pay attention to the detail
Enjoy the challenge
Be curious and take action
Take leadership
Own it
Deliver value
Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
A series of evaluations of your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
Mactores provides equal opportunities in all employment practices. We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
Mactores is a trusted leader in providing modern data platform solutions and End-to-End Data Solutions that are automated, agile, and secure. Since 2008, the company has been enabling businesses to accelerate their value through automation and digital transformation. Mactores collaborates with customers to strategize, navigate, and accelerate their digital journey via assessments, migration, and modernization services. The company leverages cloud platforms like AWS and specializes in deploying cutting-edge technologies including generative AI models and large language models to solve real-world business problems.
