Remote AWS Data Engineer — Production Pipelines Pro

Jobicy; United States; Remote; USD 85,000 - 125,000; Full time

Job summary

Mactores is seeking an associate-level AWS Data Engineer to modernize customer data platforms and deliver production-ready pipelines, models, and data products. You will work with PySpark, SparkSQL, Glue, SQL, Athena, and Redshift on AWS data services in a forward-deployed model with customer teams.

The role emphasizes data quality, delivery ownership, and rapid learning, with opportunities to grow in DataOps and big data tooling. Remote work from the United States is supported.

Qualifications

• 1–3 years of experience in Apache Spark, PySpark and Amazon Glue.
• 2+ years of experience writing ETL jobs using PySpark and SparkSQL.
• 2+ years of experience with SQL queries and stored procedures.
• Strong understanding of Dataframe API and Spark transformations.

Responsibilities

• Write efficient PySpark and AWS Glue code for production pipelines.
• Write SQL in Amazon Athena and Redshift to support data products.
• Collaborate with engineering and business teams to deliver data solutions on time.

Skills

PySpark

Apache Spark

Amazon Glue

SQL

Athena

Redshift

DataOps

ETL

AWS EMR

Apache Airflow

Tools

AWS Glue

Job description

Mactores is seeking an associate-level AWS Data Engineer to modernize customer data platforms and deliver production-ready pipelines, models, and data products. You will work with PySpark, SparkSQL, Glue, SQL, Athena, and Redshift on AWS data services in a forward-deployed model with customer teams.

The role emphasizes data quality, delivery ownership, and rapid learning, with opportunities to grow in DataOps and big data tooling. Remote work from the United States is supported.