- Company: Mactores
- Location: United States
- Full Time
- United States
- Apply on company site
Mactores at a glance
mactores.comMactores is an AWS-focused technology firm. Coverage from The AI Journal describes work on agentic AI and automation for highly regulated enterprises, and AWS has highlighted a Flipboard engagement to modernize a high-volume HBase platform onto managed Amazon services.
Mactores is hiring a Senior AWS Data Engineer to build and scale modern data platforms for our customers across the United States. If you thrive on designing reliable, cloud-native data pipelines and turning complex datasets into accessible insights, this full-time role is for you.
About the Role
As a Senior AWS Data Engineer at Mactores, you will own the lifecycle of data pipelines on Amazon Web Services — from ingestion and transformation through modeling and query optimization. Working hands-on with PySpark, SQL, and a broad AWS analytics stack, you will partner with cross-functional teams to deliver automated, secure, and high-performing data solutions.
Key Responsibilities
- Engineer and operate data pipelines using Amazon EMR or Amazon Glue.
- Design data models and enable end-user querying through Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- Orchestrate and schedule pipeline workflows with Apache Airflow.
- Author and maintain PySpark and SQL scripts to extract, transform, and load data.
- Work alongside other teams to understand their data requirements and shape effective solutions.
- Diagnose, tune, and continuously improve the performance of pipelines and data models.
- Translate technical solutions into clear documentation for both technical and non-technical audiences.
- Track emerging AWS data technologies and assess how they could strengthen existing systems.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a comparable discipline.
- 3+ years of hands-on experience with PySpark and SQL.
- 2+ years building and maintaining pipelines on Amazon EMR or Amazon Glue.
- 2+ years of data modeling and querying with Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- 1+ years orchestrating pipelines with Airflow.
- Strong analytical, troubleshooting, and problem-solving abilities.
- Clear communicator who collaborates well and works effectively both independently and on a team.
- Preferred: AWS Data Analytics Specialty Certification and familiarity with Agile development.
About Mactores
Since 2008, Mactores has been a trusted partner in modern data platform solutions, helping businesses accelerate value through automated, agile, and secure end-to-end data services. We guide customers through assessment, migration, and modernization on their digital transformation journeys, and our culture is shaped by core leadership principles that champion curiosity, ownership, and collaboration.
How to Apply
To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Apply now
Takes about a minute — like Indeed Apply. The employer sees you in their Candidates list.
To apply for this job please visit himalayas.app.
Explore Mactores online
What people say about Mactores
- How Complex Systems Fail (1998)
- What the bubble got right (2004)
- Sales of George Orwell’s ’1984′ up 69 percent on Amazon
- Financing Investment In A World Without Maturity Transformation
Recent news
- Why The World’s Most Regulated Companies Now Trust Mactores To Automate Their Most Critical Decisions - The AI Journal
- Mactores Cognition Outpaces Legacy Consultancies As Full Stack Agentic AI Pioneer Redefining Enterprise Modernization Benchmarks - The AI Journal
- Flipboard Teams with Mactores to Modernize a High Volume HBase Data Platform to Fully-Managed Amazon EMR - Amazon Web Services (AWS)
- Mactores Cognition Rises As AWS Native Thought Leader Setting The Gold Standard For Production GenAI - The AI Journal
- Optimizing Presto SQL on Amazon EMR to Deliver Faster Query Processing - Amazon Web Services (AWS)
Aggregated from public discussions and news; opinions are the authors’ own.
Working in United States
This role is listed for the United States, a North American federal republic of 50 states with Washington, D.C. as the capital. The 48 contiguous states sit between Canada and Mexico; Alaska and Hawaii are non-contiguous. Expect U.S. work norms and time zones depending on team placement.
🇺🇸 Relocation safety for US: Exercise Normal Caution — via Warnely, CC BY 4.0
National unemployment rate in US: 4.2% — via World Bank
Private-sector wage growth (year over year): 3.3% — via FRED
National quits rate: 1.9% — via FRED (BLS JOLTS)
Weekly initial unemployment claims: 215,000 — via FRED
GDP per capita in US: $90,027 — via World Bank
Consumer price inflation in US: 2.9% (annual) — via World Bank
Real GDP growth in US: 2.2% (annual) — via World Bank
Average hours worked per year in US: 1,800 — via OECD
About this role & career path
Senior AWS data engineering builds depth in cloud data platforms, pipeline reliability, and client delivery. Experience can lead toward lead/principal data engineering, architecture, or specialized consulting roles in AWS-native data and analytics.
Build the skills for this role
Strengthen AWS data services, SQL/ETL, and production ops. Free paths: freeCodeCamp Full Stack (free); Saylor CS courses (free); CS50 (free to learn); Microsoft Learn (free to learn)—pair with hands-on AWS data projects.
Free & low-cost learning resources
- freeCodeCamp — Full Stack curriculum (free)
- Saylor Academy — Computer Science courses (free)
- CS50 (Harvard, via edX) (free to learn)
- Microsoft Learn — developer training paths (free to learn)
Expect AWS architecture and data pipeline design, reliability/cost questions, and scenarios around migrating or operating large data platforms (e.g., managed AWS services). Be ready to discuss senior-level tradeoffs, stakeholder communication, and production ownership.
Strong fit if you have senior AWS data engineering depth and enjoy client-facing modernization work. Less ideal if you want a pure product-only role or non-cloud stack. Location is United States (not flagged remote in the listing).
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role AWS Data Engineer (Senior)
- Employer Mactores
- Location United States
- Type Full Time
- Posted June 21, 2026
- Apply by 2026-07-21
- Country context US
- Overview Full original description on this page (385 words; rewritten for clarity, not a teaser paste)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Public discussions & open sources
Attributed public threads and profiles — not employee reviews or star ratings.
- Hacker News — How Complex Systems Fail (1998)
- Hacker News — What the bubble got right (2004)
- Hacker News — Sales of George Orwell’s ’1984′ up 69 percent on Amazon
- Hacker News — Financing Investment In A World Without Maturity Transformation
Cached public sources (Hacker News, Dev.to, GitHub, etc.).
Employer website
Explore related openings
1 other opening(s) at Mactores on Get A Job.AI
Occupation family: AWS Data Engineer
Research this employer
Pull public facts we already cached for this company (Wikipedia, news, discussions). We never invent Glassdoor-style ratings.
Open interview kit (print-friendly)
Get email alerts for similar jobs
Keep exploring on Get A Job.ai
Not quite the right fit? Your next opportunity is a click away.
- Browse all jobs
- More jobs by category
- Remote jobs you can do from anywhere
- Research typical pay for this role
- Set a job alert so new matches reach you first
- Upload your resume to apply faster
- Register now to access our free AI resume builder
Hiring instead? Post a job and reach candidates searching right now.