Senior Python Data Engineer — Cloud-Native Pipelines & APIs

Aktra; McLean (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

Aktra is looking for a Senior Python Data Engineer to design, develop, and support scalable cloud-native data solutions. The ideal candidate will possess strong experience with Python, PySpark, SQL, and AWS, focusing on developing high-performance data pipelines and systems.

Responsibilities include building real-time data workflows, optimizing application performance, and collaborating with cross-functional teams to deliver data solutions. A minimum of 5 years of experience in software development or data engineering is required.

Qualifications

• 5–10 years of software development or data engineering experience.
• Experience building scalable data pipelines and ETL/ELT solutions.
• Advanced SQL skills and experience working with large datasets.

Responsibilities

• Design and develop scalable data pipelines and processing solutions.
• Build batch and real‑time data workflows using Python and PySpark.
• Optimize performance, reliability, and scalability of applications and data platforms.

Skills

Python

PySpark

SQL

AWS

Job description

Aktra is looking for a Senior Python Data Engineer to design, develop, and support scalable cloud-native data solutions. The ideal candidate will possess strong experience with Python, PySpark, SQL, and AWS, focusing on developing high-performance data pipelines and systems.

Responsibilities include building real-time data workflows, optimizing application performance, and collaborating with cross-functional teams to deliver data solutions. A minimum of 5 years of experience in software development or data engineering is required.