Senior Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nagarro

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.

📋 Description

• Design and implement scalable enterprise data architectures using Databricks and AWS platforms • Define data architecture patterns for data ingestion, processing, storage, transformation, serving, and consumption • Design and optimize data models, data marts, data warehouses, and enterprise data platforms • Establish and implement data governance, security, quality, lineage, and access-control frameworks • Develop and optimize data processing pipelines using PySpark, SQL, and ETL frameworks • Work with Databricks for data engineering, analytics, AI/ML, and data product enablement • Design cloud-native and serverless solutions on AWS • Architect and integrate solutions using APIs and API-based data integrations • Use AWS Bedrock to design and enable GenAI and AI-agent-based solutions • Provide architecture guidance for AI Agents, Databricks Genie, and enterprise GenAI use cases • Design reusable, scalable, and governed data products • Perform SQL query optimization, performance tuning, and data-processing optimization • Collaborate with Data Engineers, Data Scientists, AI/ML Engineers, Product Owners, and business stakeholders • Define architecture standards, reusable patterns, technical documentation, and best practices • Conduct technical reviews and guide development teams on architecture, performance, scalability, and maintainability • Ensure solutions align with enterprise security, governance, compliance, and cloud architecture standards

🎯 Requirements

• 8+ years of overall experience in Data Engineering / Data Architecture / Cloud Architecture • 4+ years of experience with Databricks and modern cloud data platforms • Hands-on experience with AWS and modern data/AI technologies • Strong experience in Databricks architecture and development • Strong hands-on experience with AWS cloud platform and services • Strong understanding of Enterprise Data Architecture • Strong experience with PySpark and SQL • Experience with AWS Bedrock and GenAI/AI-agent solutions • Strong knowledge of data modelling, data governance, DBMS, data warehouses, and data marts • Experience in ETL/data pipeline architecture and development • Experience with SQL query optimization and performance tuning • Exposure to designing and consuming REST/API-based integrations • Experience in designing and enabling enterprise data products • Understanding of serverless architecture and cloud-native design patterns • Experience with Databricks Genie / Genie Spaces • Experience with AI Agents / Agentic AI frameworks and architectures • Experience with AWS serverless services such as Lambda, API Gateway, Glue, Step Functions, and related services • Experience with Delta Lake / Lakehouse architecture • Knowledge of Data Catalog, metadata management, lineage, and data quality frameworks • Experience with CI/CD and DevOps practices for data and AI platforms • Exposure to LLM application architecture, RAG, vector databases, and prompt engineering • Experience working in large-scale enterprise data transformation or modernization programs • Strong experience in designing and delivering enterprise-scale data solutions • Experience leading technical discussions and working with cross-functional stakeholders

🏖️ Benefits

• Employees can work remotely • Equal employment opportunities without discrimination • Inclusive work environment • Diversity commitment