Data Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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Virtusa

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

💰 $108M Post-IPO Equity - Virtusa on 2017-05

Consulting • Enterprise • Artificial Intelligence

Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.

📋 Description

• Design, build, and maintain scalable batch and streaming ETL/ELT pipelines in cloud environments • Transform raw structured and semi-structured data into clean, curated analytical models using medallion architecture (Bronze/Silver/Gold), SQL, Python, and dbt • Implement automated data quality checks, schema validation, logging, and pipeline observability • Collaborate with Ontology, Knowledge Graph, and Data Science teams to prepare datasets for graph ingestion and ML feature stores • Enforce data governance, lineage, and security standards, including role-based access control, PII handling, and GDPR compliance • Build and maintain scalable pipelines and lakehouse infrastructure supporting analytics, machine learning, and AI agent platforms • Ensure reliable data flows from operational sources into analytical layers, knowledge graphs, and AI workflows • Adjust working hours during onboarding to overlap with US hours, up to 7:00 PM at the latest

🎯 Requirements

• 3+ years of hands-on experience as a Data Engineer building production data pipelines • Strong proficiency in SQL and Python • Practical experience in distributed data processing with Databricks and PySpark • Hands-on experience with modern data platforms such as Databricks, Snowflake, AWS, or Azure • Experience with transformation/orchestration tools such as dbt, Apache Airflow, or Databricks Workflows • Solid understanding of data modeling concepts, including dimensional modeling and lakehouse architecture • Understanding of CI/CD best practices and Git • Detail-oriented approach to data reliability, performance tuning, and pipeline monitoring

🏖️ Benefits

• Remote work arrangement • Full-time employment

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