Data Engineer — Real-Time Governance

About this Data Engineer role at Andhra Pradesh Real-Time Governance Society (APITA)

You'll join APITA's Real-Time Governance Society as a Data Engineer in Hyderabad, helping build data infrastructure that powers government decision-making across Andhra Pradesh. This is a contract role at a state-level AI governance organization—a unique opportunity to work on real-time data systems that impact policy at scale. For mid-level data engineers in India, this offers direct entry to a government tech initiative without competitive exams.

What you'll do

• Design and maintain data pipelines that process governance data in real-time for decision-making systems
• Build and optimize ETL workflows to handle large-scale, continuous data ingestion from multiple sources
• Write SQL queries and Python scripts to extract, transform, and load governance datasets
• Ensure data quality and reliability in systems that support real-time governance operations
• Collaborate with data teams to implement scalable real-time data processing infrastructure

Who should apply

You need a B.Tech degree and at least 3 years of hands-on experience with data pipelines, ETL systems, and real-time data processing. Mid-level data engineers with solid Python and SQL skills are the perfect fit. If you've built production pipelines or worked on streaming data systems, you're exactly who APITA is looking for.

Salary & offer in context

APITA offers ₹80,000–₹1,20,000 per month on a 2-year contract—competitive for a data engineer at the mid level in India. For context, mid-level data engineer salaries in Hyderabad typically range ₹70,000–₹1,50,000 depending on experience and company stage, so this sits solidly in market range for a government role.

Path to apply

This is a direct-application role—no exam required. You'll apply online through APITA's careers portal at rtgs.ap.gov.in/careers. The application deadline is June 9, 2026, so move quickly if you're interested. Once submitted, you'll be invited to an interview to discuss your pipeline and real-time data experience.