Chennai, IN
Actively hiring, first seen by us 2 days agoDesign and maintain secure batch and streaming pipelines using Python, SQL and PySpark
Develop data models, curated datasets, lakehouse layers and data contracts
Own assigned data products from source discovery through retirement
Translate business needs into acceptance criteria, service levels and a prioritized backlog
Improve reliability, freshness, performance, cost, lineage and access controls
Design and maintain secure batch and streaming pipelines using Python, SQL, PySpark, and modern frameworks.
Develop data models, curated datasets, lakehouse layers, and data contracts for reliable downstream use.
Own assigned data products from source discovery through release, adoption, operation, improvement, and retirement.
Translate business needs into product outcomes, acceptance criteria, service levels, and a prioritized backlog.
Improve reliability, freshness, performance, cost, lineage, access controls, testing, and production readiness.
Design and maintain secure batch and streaming pipelines using Python, SQL, PySpark, and modern frameworks.
you'll own data products end-to-end on Databricks
If you already use Claude Code, Copilot, or agents you've built yourself in real engineering work, even if only on personal projects, this could be your opportunity
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 6 and day 54.
At World Bank Group, jobs usually come down by about day 18.
From 11,035 similar postings that came down, and 58 of World Bank Group’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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At the International Finance Corporation (IFC), a member of the World Bank Group (WBG) , you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. In fiscal year 2026, IFC committed a record $105.6 billion to private companies and financial institutions in developing countries. For more information, visit www.ifc.org . The Corporate Information Technologies Department enables IFC’s strategic priorities and operations through secure, reliable technology solutions. CIT partners with the business to automate processes, improve responsiveness and efficiency, manage risk, and strengthen data, analytics, information, knowledge, and learning capabilities.CITDE is IFC’s data solutions organization, building trusted data foundations, scalable platforms, and data products that power decisions, analytics, AI, and operational excellence. We combine modern engineering, product thinking, and business impact to solve institution-wide challenges, accelerate innovation, and create measurable value across global development programs. In FY26, IFC committed $105.6 billion to private-sector development in emerging markets. Development finance at that scale depends on data that stands up to scrutiny, whether the question comes from an investment officer, an executive, or an AI agent. This team builds that foundation. In this role, you'll own data products end-to-end on Databricks, modernize legacy pipelines with AI doing part of the heavy lifting, and design the evaluation frameworks that help us decide when agent-generated outputs can be trusted. You'll work at the intersection of data engineering, AI-enabled development, and data quality, helping shape how one of the world's leading development finance institutions uses data and AI to make better decisions. If you already use Claude Code, Copilot, or agents you've built yourself in real engineering work, even if only on personal projects, this could be your opportunity to apply those skills to problems that matter at global scale. Duties and accountabilities: • Design and maintain secure batch and streaming pipelines using Python, SQL, PySpark, and modern frameworks. • Develop data models, curated datasets, lakehouse layers, and data contracts for reliable downstream use. • Translate business needs into product outcomes, acceptance criteria, service levels, and a prioritized backlog. • Own assigned data products from source discovery through release, adoption, operation, improvement, and retirement. • Use approved AI tools responsibly while retaining accountability for quality, security, privacy, and production outcomes. • Improve reliability, freshness, performance, cost, lineage, access controls, testing, and production readiness. • Lead technical decisions, review engineering work, mentor colleagues, and communicate risks and trade-offs clearly.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Chennai, IN
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