AWS Data Engineer, Associate

🕒 September 25, 2025

☕ Washington – Remote

☕ Washington – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 65%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mactores

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

🏢 Enterprise

Consulting • Enterprise • Data

Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.

📋 Description

• Work as a full-stack AWS Data Engineer solving business problems and building data products • Collaborate with business leads, analysts, and data scientists to understand business domain • Write efficient code in PySpark and Amazon Glue and build ETL jobs • Write and optimize SQL queries in Amazon Athena and Amazon Redshift • Explore new technologies and learn techniques to solve business problems • Collaborate with engineering and business teams to build data products and services • Deliver projects collaboratively and manage timely updates to customers • Ensure data quality of business metrics and build scalable, flexible solutions

🎯 Requirements

• 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue • 2+ years of experience in writing ETL jobs using pySpark and SparkSQL • 2+ years of experience in SQL queries and stored procedures • Deep understanding of Dataframe API and Spark 2.7+ transformation functions • Experience writing SQL in Amazon Athena and Amazon Redshift • Experience with PySpark and Amazon Glue • Preferred: prior experience with AWS EMR and Apache Airflow • Preferred: Certifications - AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer • Understanding of DataOps Engineering

🏖️ Benefits

• Casual and fun office environment • Remote work (Full time - Remote) • Culture focused on productivity and creativity • Opportunity to be part of a world-class team • Equal opportunity employer (non-discrimination)