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Overview : Data Engineering Manager for the Data Platform Team in Bangalore. About HealthEdge : HealthEdge is a healthcare SaaS software company that provides modern, disruptive digital healthcare solutions to health plans. What you will do : - Lead, mentor and grow a high-performing team of data engineers fostering a culture of technical excellence, collaboration and continuous improvement. - Define and execute the technical roadmap for the data platform, aligning with broader engineering and product strategy. - Design and build scalable, fault-tolerant data pipelines and ETL/ELT frameworks that support batch and real-time data processing at enterprise scale. - Architect and evolve the data lakehouse, data warehouse and data integration layer using modern cloud-native technologies (e.g., AWS, Snowflake, Spark, Kafka, Airflow, dbt). - Establish and enforce data governance, data quality and data security standards across all platform components. - Partner with cross-functional stakeholders including product management, software engineering, analytics and data science teams to understand data needs and deliver solutions. - Drive adoption of DataOps and engineering best practices including CI/CD for data, automated testing, monitoring, alerting and documentation. - Manage sprint planning, backlog prioritization and delivery cadence for the data platform team. - Evaluate, recommend and implement new tools, frameworks and technologies to keep the data platform current and competitive. - Collaborate with leadership in Boston and Bangalore to align on priorities, timelines and resource planning. - Recruit, hire, and develop a talented team of data and machine learning engineers. - Mentor and coach team members to foster professional growth and innovation. Qualifications : - Bachelors or Masters degree in Computer Science, Engineering, Data Science or a related field. - 10 years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. - Deep expertise in data warehousing, data modeling (dimensional and Data Vault), ETL/ELT design and big data technologies. - Robust proficiency with cloud data platforms such as AWS (Redshift, Glue, S3, EMR, Lambda), Snowflake or Databricks. - Experience with orchestration tools (Apache Airflow, Prefect or similar), streaming platforms (Kafka, Kinesis) and transformation frameworks (dbt, Spark). - Solid understanding of data governance, metadata management, data cataloging and data quality frameworks. - Familiarity with BI & dashboarding tools and multi-dimensional modeling. - Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing big data systems. - Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders. - Demonstrated ability to hire, develop and retain top engineering talent. Preferred : - Experience in the healthcare or health insurance domain, with familiarity with claims, enrollment and care management data. - Hands-on experience with ML feature stores, data mesh architectures or real-time analytics platforms. - Knowledge of HIPAA, PHI handling requirements and healthcare data security standards. - Experience working in a globally distributed engineering organization. - Familiarity with infrastructure-as-code (Terraform, CloudFormation) and containerized environments (Docker, Kubernetes). .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.