
201 - 500 employees
Founded 2018
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.
🕒 April 21
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 2018
💼 Consulting
🏥 Healthcare
🛡️ Insurance
Consulting • Healthcare • Insurance
Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.
• Architect, build, and maintain complex, real-time, and batch data pipelines using Azure Data Factory, Python/PySpark, and Databricks. • Design and implement modern data warehouse solutions, data models, and data lakes, optimizing for performance and scalability. • Ingest, cleanse, and transform data from diverse sources into usable data structures for analytics. • Implement security features, including role-based access control (RBAC), data encryption, and governance via Azure Purview.
• Performance Optimization & Monitoring: Troubleshoot and tune data systems and SQL queries for efficiency; monitor data workflows. • Technical Leadership & Mentorship: Lead code reviews, mentor junior engineers, and define technical standards and best practices. • Collaboration: Work with data scientists, analysts, and stakeholders to deliver actionable business insights. • Azure Services: Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage. • Languages & Tools: Python/PySpark, SQL, Scala, CI/CD (DevOps) tools. • Processes: ETL/ELT, Data Modelling, Data processing
• Diversity Inclusion: At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career. • Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. • We also have a welcome back program to help people get back to mainstream after a long break due to health or family reasons.
Apply Now🕒 April 16
Senior Data Engineer designing and optimizing scalable data pipelines and architectures while working remotely for flexible freelance projects
Amazon Redshift
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Hadoop
Kafka
Spark
SQL
🕒 April 9
Enterprise Architect leading strategic design and implementation of enterprise data solutions for clients. Collaborating with cross-functional teams to deliver scalable, high-performance data warehouses and BI solutions.
AWS
Azure
Cloud
ERP
GraphQL
Informatica
MySQL
Oracle
Postgres
Tableau
🕒 April 6
Senior Data Engineer and Data Architect at TechBiz Global. Overseeing data architecture and engineering, focusing on analytics and financial services.
Cloud
ETL
Informatica
SQL
🕒 April 1
Data Engineer focusing on Elasticsearch and data warehousing at Particle41. Building robust data pipelines and collaborating on impactful projects remotely.
AWS
Azure
Cloud
ElasticSearch
ETL
Flask
Google Cloud Platform
Java
Linux
Microservices
MongoDB
MySQL
NoSQL
Pandas
Postgres
PySpark
Python
Redis
Scikit-Learn
Spark
SQL
🕒 April 1
Data Engineer at Tangoe focusing on optimizing data pipeline architectures and supporting data initiatives for product development. Collaborating with diverse teams to enhance data delivery and infrastructure.
Amazon Redshift
AWS
Cassandra
Cloud
EC2
Java
Node.js
NoSQL
Oracle
Postgres
Python
Spark
SQL