Haystack
← Back to Jobs
Engineering

Data Pipeline Engineer (Databricks + AWS Glue)

Bramkas Inc.United States🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

You'll thrive as a Data Pipeline Engineer at Bramkas Inc., designing and optimizing scalable ETL pipelines with Databricks and AWS Glue, offering excellent opportunities for skill expansion. This hybrid role is perfect for experienced engineers proficient in PySpark, Python, SQL, and MongoDB, eager to build robust data solutions. Apply now to join a dynamic team and make a significant impact.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Experience: 5–10 Years
Employment Type: Full-Time

This second requirement is much more specifically centered around Databricks + AWS Glue + PySpark + Python + SQL + MongoDB, so the knockout questions should be stricter around those technologies.

About the Role

We are looking for an experienced Data Pipeline Engineer with strong hands-on expertise in Databricks, AWS Glue, PySpark, Python, SQL, and MongoDB.

The engineer will design, develop, and optimize scalable cloud-based ETL and data pipelines for processing large volumes of structured and semi-structured data.

Responsibilities

  • Design and develop scalable ETL and data pipelines using Databricks and AWS Glue.
  • Build data ingestion and transformation workflows.
  • Develop large-scale data processing solutions using PySpark, Python, and SQL.
  • Integrate data from multiple sources including MongoDB and relational databases.
  • Implement data-quality, validation, and reconciliation processes.
  • Optimize Spark and Databricks workloads for performance and scalability.
  • Build reliable cloud-native data pipelines on AWS.
  • Support production deployments, monitoring, and troubleshooting.
  • Collaborate with architects, application teams, analysts, and DevOps teams.
  • Follow Git-based development and Agile delivery practices.

Skills

Agile

Similar jobs

Browse related jobs

Apply now