Senior Data Engineer and BI Developer
Ecloud Labs
Dallas, TX, United States
22 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$145,600.0 - $156,000.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Application Integration Architecture
Microsoft Azure
Business Intelligence Development
Cloud Computing
Cloud Engineering
Continuous Integration
Information Engineering
Github
Information Extraction
Python (Programming Language)
+24 more
OAuth
Power BI
OpenAI
DataOps
Azure Machine Learning
Search Technologies
Microsoft SharePoint
SQL Databases
Data Processing
Microsoft Power Automate
Azure Data Factory
Prompt Engineering
Apache Spark
Build Management
Microsoft Fabric
Infrastructure Automation Frameworks
Deployment Automation
Google Cloud Functions
Data Delivery
Restful APIs
Terraform
Azure Synapse Analytics
Data Pipelines
Serverless Computing
Job description
Data Engineering (~50%) Azure Data Factory, Logic Apps & Function Apps
- Design and build end-to-end data pipelines and ingestion workflows using Azure Data Factory, ensuring scalability, observability, and data quality at every stage.
- Develop and maintain serverless automation and event-driven integrations using Azure Function Apps and Logic Apps, including orchestration flows.
- Publish data to SharePoint Lists from ADF pipelines, using SharePoint Online REST APIs and OAuth authentication flows.
- Own infrastructure-as-code practices using Terraform, and drive CI/CD pipeline development and deployment automation through GitHub Actions and Harness.
- Integrate Azure AI Services and Azure OpenAI into data workflows - including document intelligence, embeddings, semantic search, and AI-assisted data enrichment.
- Architect/Manage analytical workloads within Azure Synapse Analytics, including Lakehouse patterns, and Spark-based transformations.
- Maintain continuity of existing pipelines and ongoing maintenance work.
BI Development (~50%) Power BI
- Design, build, and maintain Power BI reports, dashboards, and semantic data models that translate raw and curated data into actionable business insight.
- Develop and optimize DAX measures, calculated columns, and data model relationships to support self-service and executive-level reporting.
- Manage Power BI datasets, gateways, and refresh schedules, ensuring data in reports stays current and reliable.
- Partner with business stakeholders to gather reporting requirements and translate them into intuitive, well-governed dashboards.
- Apply row-level security and workspace governance best practices within the Power BI Service.
Requirements
You will also bring a strong working knowledge of AI and machine learning platforms, including Azure AI Services and Azure OpenAI, to help the organization move from data delivery toward intelligent, insight-driven automation.
Experience with Microsoft Fabric is a plus., * Around 10 years of combined experience across data engineering and BI development, with a strong focus on cloud-native solutions.
- Expert-level experience with Azure Data Factory, Logic Apps, and Function Apps - reflecting roughly half of the role’s day-to-day work.
- Intermediate-level Power BI developer skills, including building and maintaining reports, dashboards, and data models - reflecting the other half of the role.
- Practical experience publishing data to SharePoint Lists from ADF pipelines, including familiarity with SharePoint Online REST APIs and OAuth authentication flows.
- Proven experience with infrastructure-as-code using Terraform, and CI/CD platforms such as GitHub Actions and Harness.
- Demonstrated experience integrating Azure AI Services or Azure OpenAI into data pipelines or platform workflows, including working with REST-based AI APIs, prompt engineering, embeddings, or AI-assisted data processing.
- Strong proficiency in SQL and at least one data-oriented programming language, with Python preferred given its centrality to AI and ML integration work.
- Hands-on expertise with Azure Synapse Analytics.
- Experience with Microsoft Fabric is a nice to have.
Benefits & conditions
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
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