Are you a skilled Data Engineer with a passion for building scalable, AI-powered data solutions in the cloud? We’re looking for a Remote AI Data Engineer to join our team and help integrate Azure-based pipelines with next-gen AI/ML and CoPilot technologies.
📍 Location: Remote (U.S)
🧠 About the Role:
As a Data Engineer, you’ll design and develop high-performance data pipelines across Azure services such as ADF, Databricks, HDInsight, Synapse, and Microsoft Fabric. You’ll collaborate closely with AI engineers, data scientists, and enterprise architects to deliver secure, governed, and optimized data systems supporting advanced analytics, GenAI, and CoPilot integrations.
✅ Key Responsibilities:
- Build and maintain data pipelines using Azure Data Factory, Databricks, and Synapse Analytics/Fabric
- Integrate structured and unstructured data sources for AI/ML use cases, including CoPilot workflows
- Work with Big Data technologies such as Hadoop, Apache Spark, and HDInsight
- Develop robust, reusable code in Python, SQL, Scala, or Java
- Implement CI/CD pipelines using Azure DevOps (both YAML and Classic pipelines)
- Ensure data quality, governance, and security are upheld across all stages of the pipeline
- Collaborate with cross-functional teams to enable real-time analytics, data modeling, and insight delivery
🎓 Requirements:
- 5+ years of professional experience in Data Engineering
- Advanced expertise in cloud data platforms, especially Microsoft Azure
- Proven knowledge of AI integration workflows and large-scale data pipelines
- Proficient in Python, SQL, and either Scala or Java
- Hands-on experience with Azure Databricks, ADF, HDInsight, Synapse/Fabric
- Experience with CI/CD practices using Azure DevOps
- Solid foundation in data modeling, governance, and data security standards
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field
- Must have prior Microsoft project experience
🚀 Why Join Us?
- 100% Remote Opportunity with U.S.-based client teams
- Work on cutting-edge AI/CoPilot integration projects
- Collaborate with a high-performing team of Azure and AI experts
- Gain exposure to enterprise-scale AI & GenAI infrastructure
- Competitive compensation and long-term project visibility
📩 How to Apply:
📧 Send your resume directly to:
naveenc@eminentleap.com
Subject: AI Data Engineer – Remote (Azure/Big Data)
AI Data Engineer remote job, Azure Data Engineer hiring USA, Databricks jobs remote, Azure Synapse Data Engineering, Microsoft AI CoPilot jobs, ADF Spark Data Engineer, Python Data Engineer with Azure, Big Data Hadoop Spark Azure, Remote Azure DevOps CI/CD jobs, Eminent Leap hiring
#DataEngineer #Azure #Databricks #ADF #Synapse #MicrosoftFabric #BigData #Hadoop #Spark #Python #AIJobs #RemoteJobs #HiringNow #EminentLeap #GenAI #AzureDevOps #USJobs #AIIntegration #CoPilot
I’m a Senior Data Engineer with over 11 years of experience working across healthcare, finance, insurance, and government sectors. My core focus has been on building scalable data pipelines, real-time streaming solutions, and cloud-native architectures using tools like Spark (Scala/PySpark), Kafka, and Flink on platforms such as AWS, Azure, and Google Cloud.
Right now, I’m working at Humana, where I’ve been designing and optimizing end-to-end pipelines to process EHR, lab, and ICU telemetry data for real-time clinical analytics. Before that, I was at Bank of America building fraud detection and risk modeling pipelines using Azure Databricks and Synapse, processing billions of financial transactions daily.
One of my strengths is combining big data processing with modern cloud infrastructure, including AWS Glue, Azure Data Factory, and GCP Dataflow, to deliver high-performance, cost-efficient pipelines. I also enjoy working closely with data scientists, product owners, and compliance teams to ensure data integrity, security, and business value.
Overall, I’m passionate about solving complex data problems and creating systems that can scale with business needs while staying compliant with healthcare and financial regulations.
I am AI Data Engineer (Azure | Big Data | Microsoft Experience). I have 7 years of experience in AI Data Engineer (Azure | Big Data | Microsoft Experience).
Priyanka Chauhan Troy, Alabama
📞 +1 (334) 434 7550
📧 priychauhan2026@gmail.com
🔗 LinkedIn | GitHub
Dear Hiring Manager,
I am writing to express my interest in a data-focused position within your organization. With over three years of experience as a Data Analyst and a Master’s in Computer Science with a specialization in Artificial Intelligence and Machine Learning, I bring strong analytical, technical, and problem-solving capabilities that align well with modern data-driven teams.
In my previous role, I designed scalable ETL pipelines, implemented machine learning models, and created interactive dashboards using tools like Python, SQL, Tableau, Power BI, AWS, and Spark. I have successfully delivered business intelligence solutions, automated workflows, and optimized big data processing systems, resulting in improved performance, data accuracy, and decision-making across departments.
My skill set includes Python, R, SQL, Spark, TensorFlow, Databricks, Snowflake, and cloud platforms such as AWS, Azure, and GCP. I also have hands-on experience with data wrangling, visualization, and statistical modeling, making me well-prepared for a wide range of data and analytics roles.
I am open to both on-site and remote opportunities and available to join immediately. I would welcome the chance to contribute my experience to a forward-thinking team and would appreciate the opportunity to speak further.
Thank you for your time and consideration.
Sincerely,
Priyanka Chauhan