--- title: 'AWS Data Engineer (Senior) at Mactores' canonical: 'https://feeny.ai/job/aws-data-engineer-senior-mactores-seattle-h8xx1762vmz5' type: 'job' last_seen: '2026-09-07' --- # AWS Data Engineer (Senior) at Mactores - **Company:** Mactores - **Location:** Seattle, WA - **Employment:** full-time - **Work type:** remote - **Posted:** 2022-08-25 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/mactores/301bcaa7-395b-4573-be0b-b433307133a7 ## Job 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 role in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters, at meaningfully lower engagement cost than traditional data consulting. 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 own what agents can't: target architecture, data model decisions, pipeline design under real constraints, and the calls that make a cutover safe. You'll build with PySpark and SQL on EMR and Glue, model for Redshift, Snowflake, Athena, and Presto, orchestrate with Airflow and your work will reach production, not a slide deck. What you will do? - Build and maintain data pipelines on Amazon EMR or Amazon Glue that run in production. - Design data models and end-user querying on Amazon Redshift or Snowflake, Amazon Athena, and Presto. - Build and maintain pipeline orchestration with Airflow. - Work with customer and internal teams to understand data needs and design the solutions that meet them. - Troubleshoot and optimize pipelines and data models until they hold up under real load. - Write and maintain PySpark and SQL scripts to extract, transform, and load data. - Document and communicate technical decisions to technical and non-technical audiences — customers sign off on what we ship. - Track new AWS data technologies and judge their impact on the systems we run. What are we looking for? - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience working with PySpark and SQL. - 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. - 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - 1+ years of experience building and maintaining pipeline orchestration using Airflow. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills. - Ability to work independently and within a team environment. You are preferred if you have - AWS Data Analytics Specialty Certification - Experience with Agile development methodology How we work? We run a forward-deployed model. Senior engineers embed with the customer's team, own outcomes from discovery through production, and carry the delivery commitment personally fixed dates, with Mactores absorbing overage cost for delays inside our control. Aedeon absorbs scale; you absorb judgment. That means less of your week goes to inventory spreadsheets and manual validation, and more goes to architecture, data modeling, and cutover strategy. The culture is casual and steers clear of rigid corporate habits. We measure ourselves by what ships. 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. 1. Be one step ahead 2. Deliver the best 3. Be bold 4. Pay attention to the detail 5. Enjoy the challenge 6. Be curious and take action 7. Take leadership 8. Own it 9. Deliver value 10. 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. ## About Mactores ## Company Overview - **One-liner**: Mactores is an agent-native AWS modernization firm that delivers data platform, application, and AI agent projects for enterprise customers using a proprietary agent platform (Aedeon) and forward-deployed engineers. - **Entity Type**: Private (Privately Held, no disclosed funding rounds) - **Headquarters**: Bellevue, Washington, United States - **Founded**: 2008 - **Founders**: Bal Heroor (CEO) and Nandan Umarji (COO) ## Core Business - **Primary industry**: Cloud consulting & modernization / IT services (specializing in AWS, data platforms, and AI agents) - **Target customers**: Fortune 500 companies, high-growth software teams (B2B enterprise) - **Mission or purpose**: “Build the firm that builds the AI era.” Deliver modernizations that “compound for years, finished in weeks instead of quarters.” ## Products & Services - **Aedeon Agent Platform**: Proprietary internal platform that absorbs 60–70% of engagement work (discovery, mapping, validation, cutover instrumentation), replacing the traditional consulting pyramid. - **Data Platform Modernization**: Modernize data foundations to enable AI readiness, completed in weeks rather than quarters. - **Application & Database Modernization**: Migrate and refactor legacy apps and databases to AWS-native architectures. - **AI Agents for Apps**: Deploy production-grade AI agents for real operations (customer support, claims processing, real-time decision grids). ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metrics**: - Annual Revenue: $5M (per LinkedIn, though company website states “200+ AWS-certified engineers” suggesting a larger scale) - Headcount: Conflicting reports – LinkedIn lists 65 employees (with +5.4% YoY growth), while the company website claims “200+ AWS-certified engineers.” Actual headcount likely higher than 65. - 7 AWS Consulting Competencies, 17 AWS Service Validations, Agentic AI Specialization, AWS Premier Tier Services Partner. - **Notable Investors/Partners**: No external investors disclosed. Key partners include AWS (Premier Tier Partner) and customers such as Safaricom, Synaptics, Flipboard, Poshmark, Seagate, HP, Adani, DocuSign, KlearTrust, Tilia, Sterne Kessler, and Total Expert. - **Growth Signals**: Headcount growth of +5.4% YoY (per LinkedIn), active job postings (+33.3% month-over-month), and expansion into AI agent delivery with Aedeon platform. ## Competitive Advantages - **Agent-native delivery model**: Aedeon replaces the junior-heavy pyramid by automating 60–70% of engagement hours, allowing a lean team of senior forward-deployed engineers to own architecture and cutover directly. - **Fixed-date, fixed-fee contracts**: Engagements close on customer-signed acceptance, not status reviews, reducing risk for clients. - **Deep AWS credentials**: One of the first specialist AWS adoption practices, with Premier Tier Partner status, 7 competencies, and 200+ AWS-certified engineers – a credential set that procurement teams trust. ## Strategic Focus - Scale the agent-native model across more enterprise engagements. - Deepen specialization in Generative AI and Agentic AI on AWS. - Continue to invest in Aedeon, the internal agent platform, to further reduce delivery hours and enable faster modernization cycles. - Expand headcount with senior engineers who can operate as delivery owners. ## Why Work Here - **Culture**: Pragmatic, principle-driven environment (“Ten Core Leadership Principles”). Everyone is expected to get in the trenches; top-down teamwork and ownership are emphasized. - **Work/Life Balance**: Scrum-based planning with day, week, sprint, and quarterly goals. Proactive communication prevents last-minute confusion. Time off is encouraged. - **Learning & Development**: 20% of every Mactorian’s time is dedicated to learning new technologies. AWS certifications are fully funded and treated as staffing-quality investments. - **Role Clarity**: Engineers are not placed on a pyramid under a thin senior layer. Every Mactores forward-deployed engineer is a senior delivery owner who personally signs off on production cutovers. - **Remote/Hybrid**: Mixed – some roles are fully remote (e.g., Channel Partner Manager, Technical Content Writer), while others (e.g., Business Development Representative in Mumbai) are hybrid. Open roles listed on Lever. - **Notable Perks**: Permanent learning time, career progression tied to principles and delivery outcomes. ## Sources 1. [mactores.com/about](https://mactores.com/about) 2. [mactores.com/careers](https://mactores.com/careers) 3. [jobs.lever.co/mactores](https://jobs.lever.co/mactores) 4. [linkedin.com/company/mactores](https://linkedin.com/company/mactores) 5. 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