Senior BI Developer & Data Engineer

Salary: $86,000 - 110,000 per year Requirements:

• Bachelors degree in computer science, business, or a related field preferred; equivalent experience may be considered
• At least 4 years of data engineering experience, including hands-on work with Microsoft Fabric or an equivalent Azure Synapse/Databricks environment and the ability to ramp up quickly on Fabric
• 2 or more years of Power BI development preferred, including advanced data modeling and DAX
• Strong PySpark and SQL skills, with experience in medallion architecture and Delta Lake
• Working knowledge of cloud-native data services, such as streaming, serverless compute, and object storage
• Experience designing Row-Level Security (RLS)/Column-Level Security (CLS) and Entra ID-based security models
• Strong communication skills and the ability to lead through influence; experience with Jira and Agile/SCRUM
• U.S. work authorization without visa sponsorship
• Willingness to travel 25–50%
• Preferred: Experience with AWS services such as S3, DynamoDB, Lambda, and Firehose, and with event-driven ingestion
• Preferred: Familiarity with SharePoint, Microsoft Entra ID, and external partner reporting
• Preferred: Microsoft certification such as DP-600, DP-203, or equivalent
• Preferred: Experience with Power BI CI/CD and deployment pipelines
• Preferred: Background in a regulated industry, such as healthcare, telecommunications, or finance

• Build and maintain pipelines that ingest data from sources such as DynamoDB, InfluxDB, and S3 into Microsoft Fabric
• Create Bronze, Silver, and Gold transformations, including incremental processing, change data capture, and schema evolution
• Flatten and model semi-structured data, including DynamoDB documents, for reliable downstream use
• Design dimensional models for enterprise-ready Gold-layer datasets and optimize pipeline and query performance
• Develop and troubleshoot T-SQL and PySpark transformations, enforce data quality, and trace data issues to their source
• Operate the production data platform end to end, troubleshoot across AWS ingestion services and Fabric, identify root causes, and resolve issues
• Implement automated data-quality validation, reconciliation, monitoring, alerting, and pipeline observability
• Develop and deploy Power BI reports using Fabric Gold-layer data, create DAX measures for enterprise KPIs, and manage the reporting lifecycle from requirements through end-user testing
• Configure and support Power BI reports embedded in SharePoint Online with Entra ID token passthrough
• Implement Entra ID-based Row-Level Security and document data flows and KPI definitions for governance
• Prepare operational runbooks and as-built documentation for deployment, RLS validation, and handoff
• Translate client business requirements into data models and report designs, and support backlog triage and estimation
• Advise client stakeholders on technical matters and explain complex data and reporting issues in accessible, non-technical language
• Work within client-controlled environments and approval processes, adapting to each clients tools and procedures
• Produce client-ready deliverables and lead knowledge transfer so client teams can operate and support the solution after handoff

• Agentic AI
• AI
• AWS
• Lambda
• Azure
• CI/CD
• Cloud
• Databricks
• DAX
• Embedded
• Fabric
• Support
• JIRA
• Power BI
• PySpark
• SQL
• Security
• Serverless
• SharePoint

More:

We are Provoke, a global consulting firm that builds AI-native solutions to transform how work gets done. Our culture values innovation, growth, and curiosity, and we partner with global clients to design and deploy agentic AI within their workflows. We are hiring a Senior Data Engineer and BI Developer for a hands-on, engineering-first role owning a client data platform from source ingestion through reporting models; Power BI development is part of the work but secondary to data engineering. Were looking for adaptable problem solvers who thrive in fast-paced, collaborative, client-focused settings. The role is based in the U.S., requires alignment with Pacific Time and flexibility for client schedules, and involves 25–50% travel. Employment is W-2 hourly. We accept direct applications through this posting and do not consider agency or third-party submissions.

last updated 41 week of 2026