Senior Python Developer - AI & Full Stack Specialist

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

We are seeking a Senior Python Data Engineer to design, develop, and support scalable cloud‑native data solutions. The ideal candidate will have strong experience with Python, PySpark, SQL, and AWS, building high‑performance data pipelines and distributed processing systems in enterprise environments.

Key Responsibilities

• Design and develop scalable data pipelines and processing solutions.
• Build batch and real‑time data workflows using Python and PySpark.
• Develop AWS‑based applications and services using serverless and containerized architectures.
• Build APIs and backend services to support data integrations.
• Optimize performance, reliability, and scalability of applications and data platforms.
• Collaborate with cross‑functional teams to deliver business solutions.
• Support testing, deployment, monitoring, and production operations.

Required Qualifications

• 5–10 years of software development or data engineering experience.
• Experience with PySpark and distributed data processing.
• Advanced SQL skills and experience working with large datasets.
• Hands‑on experience with AWS services including:
  • S3, Redshift, RDS
  • Lambda, EC2, ECS, EMR, AWS Batch
• Experience building scalable data pipelines and ETL/ELT solutions.

Preferred Qualifications

• Experience with NumPy, Pandas, or Polars.
• Experience building REST APIs and microservices.
• Knowledge of cloud‑native and event‑driven architectures.
• Experience with Agile and CI/CD practices.
• Experience working with enterprise‑scale data platforms.

Technical Environment

Python | PySpark | SQL | AWS (S3, Redshift, RDS, Lambda, EC2, ECS, EMR, AWS Batch)