Senior AWS Data Engineer — Production-Ready Data Pipelines

Neura Market

Northern (KY)

Hybrid

USD 120,000 - 180,000

Full time

9 days ago

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Job summary

Mactores is seeking a senior Data Platform Engineer to consolidate and migrate customer data infrastructure on AWS. You will own data models, pipelines, and cutover decisions, building with PySpark and SQL on EMR/Glue and orchestrating with Airflow.

You’ll work directly with customers and cross-functional teams to design scalable solutions that perform under real load. You will lead architecture decisions, ensure production readiness, and stay ahead of evolving AWS data technologies.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field.

Responsibilities

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.