
Intellectyx is a next-gen technology company founded in 2010, specializing in Data, AI, and Digital solutions for startups, SMBs, and enterprises. With over 180 professionals across the USA, India, and South Africa, they help businesses achieve tangible outcomes by embedding Agentic AI into decisions and workflows to unlock real value. Their services include Data Management, Engineering, BI & Analytics, Generative AI, AI Agents, MLOps, Cloud Computing, DevOps, and Product Engineering. Intellectyx emphasizes a client-centric approach, industry-specific accelerators, and a scalable resource model, aiming to drive digital transformation and operational efficiency for their clients. They have been recognized by industry analysts like Gartner and Everest Peak Matrix.

Intellectyx is a next-gen technology company founded in 2010, specializing in Data, AI, and Digital solutions for startups, SMBs, and enterprises. With over 180 professionals across the USA, India, and South Africa, they help businesses achieve tangible outcomes by embedding Agentic AI into decisions and workflows to unlock real value. Their services include Data Management, Engineering, BI & Analytics, Generative AI, AI Agents, MLOps, Cloud Computing, DevOps, and Product Engineering. Intellectyx emphasizes a client-centric approach, industry-specific accelerators, and a scalable resource model, aiming to drive digital transformation and operational efficiency for their clients. They have been recognized by industry analysts like Gartner and Everest Peak Matrix.
Company Description
Intellectyx is a next-gen technology company focused on Data and AI for enterprises, governments, and nonprofits worldwide. Headquartered in Denver, USA, with offshore centers in India, we build intelligent, domain-specific AI agents that drive autonomy and efficiency across key business functions. Our offerings include custom AI agents, agentic strategy, and scalable AgentOps frameworks tailored to enterprise needs.
About Intellectyx
At Intellectyx, we help organizations accelerate their digital and AI transformation journeys with innovative solutions across data, AI, cloud, and analytics. We are seeking a Data & Reporting Engineer with expertise in Azure Data Factory (ADF), SQL Synapse, and Power BI to strengthen our data engineering and reporting capabilities for client-facing and internal initiatives.
Role Overview
The Data & Reporting Engineer will be responsible for designing, developing, and maintaining robust data pipelines, scalable data models, and insightful reports/dashboards. The role requires hands-on experience with Azure cloud data services and a strong ability to translate business requirements into technical solutions that deliver value and insights.
Key Responsibilities
Design, build, and maintain data pipelines using Azure Data Factory (ADF).
Develop and optimize data models, ETL processes, and stored procedures within Azure Synapse Analytics.
Implement data integration solutions to ingest, transform, and orchestrate large volumes of structured and semi-structured data.
Create and maintain Power BI dashboards and reports, ensuring alignment with business KPIs and usability standards.
Collaborate with business stakeholders to gather requirements and deliver actionable insights.
Ensure data quality, consistency, and performance across all reporting and data engineering solutions.
Support data governance, security, and compliance best practices.
Troubleshoot issues in data pipelines, queries, and reporting layers.
Continuously improve processes by adopting automation, optimization, and cloud-native best practices.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
3–6 years of experience in data engineering and reporting roles.
Strong hands-on experience with:
◦ Azure Data Factory (ADF) for pipeline orchestration and data integration.
◦ Azure Synapse Analytics / SQL Data Warehouse for data modeling and query optimization.
◦ SQL (T-SQL, stored procedures, performance tuning).
◦ Power BI (DAX, Power Query, data modeling, visualization best practices).
Solid understanding of data warehousing, ETL concepts, and cloud data architectures.
Experience working with Azure ecosystem (Data Lake, Key Vault, Logic Apps, etc.).
Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Excellent communication and documentation skills.
Preferred Qualifications
Experience with Python for advanced data processing.
Knowledge of DevOps practices (CI/CD, Git, automated testing) in data environments.
Familiarity with data governance, security, and compliance frameworks.
Prior experience in consulting or services-based companies.
What We Offer
Opportunity to work with cutting-edge cloud and AI-driven data solutions.
A collaborative and innovative culture focused on client success.
Competitive compensation and benefits package.
Career growth opportunities across engineering, analytics, and AI solution areas.
Job Types: Full-time, Contract
Pay: $90,000.00 - $134,339.66 per year
Benefits:
Work Location: Hybrid remote in Pasadena, CA 91101