azure-data-factory jobs in San Diego

The Data Integrator will design and optimize SQL queries, build advanced DAX reports in Power BI, and integrate data from multiple APIs, databases, and files at scale. The role requires 3+ years of data analysis and validation experience with Power BI, DAX, Power Query, Azure Data Flow, and SQL, plus strong communication skills to gather requirements and deliver solutions to end users.…See more The person will maintain these data pipelines and coordinate with management throughout the development lifecycle using modern Azure and data tools.

Lead hands-on modernization of legacy SSIS/SSRS ETL workloads into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design and enforce standardized data frameworks (ingestion, transformation, curation, consumption), drive CI/CD and observability practices, and mentor engineers on modern data engineering patterns.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming, AI-driven observability) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, GitHub Copilot, Cursor AI) to accelerate development and reduce technical debt. Optimize Spark workloads and orchestration across Azure and GCP environments while partnering with architects, platform engineers, and business stakeholders.

Senior Data & Analytics Engineer with 5+ years of database engineering, ETL development, and enterprise reporting experience. The role requires advanced SQL Server expertise, proficiency with Azure Data Factory or SSIS for data pipeline development, and demonstrated success building Power BI and SSRS analytics solutions in OLTP/OLAP environments.…See more Bachelor's degree in Computer Science, IT, or related field required; hybrid position in San Diego with 3 days/week onsite.

The Data Architect will design and oversee enterprise data platforms, databases, and integration pipelines across SQL, NoSQL, and cloud services. Responsibilities include establishing data standards, implementing governance frameworks, architecting ETL/ELT pipelines, managing database platforms, and enabling analytics and BI.…See more The role requires 12+ years of progressive experience with cloud data platforms (Snowflake, Azure SQL, MongoDB Atlas, Cosmos DB), advanced SQL and Python skills, and proven leadership guiding engineering teams on enterprise data strategy.

Lead the modernization of legacy SSIS/SSRS data systems into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design standardized frameworks for ingestion, transformation, and consumption layers while driving CI/CD, observability, and engineering best practices across Azure and GCP.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming ingestion) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, Cursor AI, GitHub Copilot) to accelerate development and reduce technical debt. Provide technical guidance to the team and translate business requirements into scalable data solutions.

Enterprise Data & Analytics Architect responsible for designing and developing SQL Server databases, data warehouses, and ETL pipelines using SSIS/Azure Data Factory. The role requires 8–10 years of experience in OLAP/OLTP environments, expert SQL Server knowledge, and proficiency in enterprise reporting (SSRS, Power BI).…See more Candidates will oversee data engineering, BI development, and data science initiatives; mentor developers; and maintain compliance with company policies and federal regulations.

Design and build production ETL/ELT pipelines ingesting data from databases, APIs, applications, and Microsoft 365 sources into Azure Databricks and Power BI. Own code quality, CI/CD automation, testing strategies, monitoring, and data validation across development, test, and production environments in Azure DevOps.…See more Develop transformations and curated data products for analytics and AI applications, including secure document ingestion, metadata indexing, and telemetry. Collaborate with business and technical stakeholders to communicate progress, data limitations, and risks while maintaining runbooks and technical documentation.

Senior Enterprise Data Engineer role requiring 5+ years designing and developing OLTP/OLAP databases, ETL/ELT pipelines using SSIS, Azure Data Factory, or Python, and enterprise reporting solutions with Power BI and SSRS. Must have advanced SQL Server expertise, strong data warehousing and dimensional modeling knowledge, and experience in Agile environments.…See more Preferred qualifications include Azure data platforms (Synapse, Data Lake, Fabric), Databricks, Apache Spark, Azure DevOps, and CI/CD practices.

This is a full-stack .NET developer role supporting Community Choice Aggregation (CCA) applications at Calpine Energy Solutions. The developer will design, develop, test, and deploy software solutions across presentation, business logic, and data layers using the Microsoft .NET stack and Azure cloud platform.…See more Responsibilities include maintaining and enhancing CCA applications, implementing database solutions, performing QA and unit testing, and providing post-implementation support. The role requires 3+ years of .NET development experience, proficiency in C# and object-oriented programming, and demonstrated ability to rapidly learn new technologies.

Enterprise Data & Analytics Architect responsible for designing and maintaining SQL Server databases, developing ETL pipelines using SSIS or Azure Data Factory, and creating enterprise reporting solutions with SSRS and Power BI. The role requires 8+ years of database engineering in OLAP/OLTP environments, expert SQL Server knowledge, and experience migrating processes to Azure.…See more Candidates will oversee documentation, mentor developers, and stay current with data engineering, BI, and cloud computing trends while ensuring compliance with company and federal regulations.

Design and implement enterprise data architecture solutions across on-premises and cloud environments, including data models, pipelines, governance frameworks, and integration patterns. Develop data pipeline blueprints, entity relationship diagrams, and manage data warehousing, cataloging, and quality standards.…See more Serve as a subject-matter expert for data architecture across DoD analytics platforms, Microsoft 365, and hybrid cloud environments. Coordinate with government technical leads, platform teams, and data stakeholders while managing data governance, security accreditations, and administrative requirements.

Design, build, and maintain data pipelines that ingest, transform, and load data from SQL Server, PostgreSQL, SaaS platforms like HubSpot, and internal applications into Snowflake. Develop and optimize data models, manage data quality and governance, and create dashboards and reports to support reporting and analytics use cases.…See more Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions. Optimize query performance and storage efficiency within Snowflake while implementing best practices in documentation and pipeline monitoring.

Design, build, and maintain data pipelines that ingest, transform, and load data from SQL Server, PostgreSQL, SaaS platforms (HubSpot), and internal applications into Snowflake. Develop and optimize data models, manage data ingestion using Azure Data Factory and data replication tools, and ensure data quality and integrity.…See more Collaborate with business stakeholders to translate analytics requirements into scalable solutions, develop dashboards and reports, and optimize query performance. Implement data governance best practices, monitor pipelines, and recommend technology improvements to support the company's data strategy.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, integration patterns, and architectural standards for the Data Lake, Data Warehouse, ODS, and cloud platforms while ensuring security, resilience, and high performance.…See more Working closely with engineering, analytics, and business teams, the architect provides technical guidance on modern data systems, governance frameworks, and ETL/ELT pipelines. The position combines strategic vision with practical experience optimizing structured, semi-structured, and unstructured workloads across SQL, NoSQL, and cloud-native systems.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, cloud-native integration patterns, and architectural standards supporting analytics, reporting, and digital banking applications.…See more This position combines strategic architectural vision with practical expertise in designing, implementing, and optimizing modern data systems across structured, semi-structured, and unstructured workloads. The architect provides technical leadership to Data Engineers and cross-functional teams while ensuring secure, resilient, and high-performing data environments.

Senior Database Engineer II will build and maintain scalable data pipelines using Azure Data Factory, Databricks, Azure Synapse Analytics, and Snowflake. The role requires designing and implementing conceptual, logical, and physical data models, leading system integration efforts, and architecting multi-tenant database solutions for the medical device industry.…See more You'll provide technical leadership on data engineering standards, conduct code and design reviews, and collaborate across geographically dispersed teams in an Agile environment. The position demands 7+ years of database design and software development experience, with a strong focus on healthcare compliance and data governance.