Senior Data Engineer/Power BI Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer/Power BI Specialist with a 6-month contract at a pay rate of "X" in a regulated financial services environment. Requires 8+ years of experience, expertise in Power BI, Databricks, and cloud platforms (Azure, AWS).
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
736
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πŸ—“οΈ - Date discovered
September 25, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Security #Azure Data Factory #DAX #Schema Design #Data Engineering #AWS (Amazon Web Services) #Data Governance #Data Pipeline #Databricks #Delta Lake #"ETL (Extract #Transform #Load)" #Azure #ADF (Azure Data Factory) #Leadership #Scala #Microsoft Power BI #Oracle #Informatica #Kafka (Apache Kafka) #BI (Business Intelligence) #Automation #Spark (Apache Spark) #Cloud #Airflow #PySpark #SQL (Structured Query Language)
Role description
What This Job Really Is This is a hands-on, senior data engineering consultant role focused on turning raw data into polished, executive-level dashboards in a regulated financial services environment. It’s less about long-term leadership or career growth, and more about being the go-to expert to quickly deliver robust dashboards + pipelines with minimal oversight. Core Responsibilities β€’ Data Engineering & Automation: Enhance and optimize data pipelines (about half are already automated). Work with Databricks (Delta Lake, Spark) and integrate multiple data sources (Kafka, APIs, Oracle DB, Informatica). β€’ Dashboarding & Reporting: Deliver executive-ready Power BI dashboards, KPIs, and reporting suites. Heavy use of DAX, star schema modeling, real-time integrations. β€’ Architecture & Governance: Contribute to building out a Databricks Lakehouse, ensure data governance and security, leverage cloud platforms (Azure, AWS). β€’ Workflow Orchestration: Use Airflow / Azure Data Factory to automate pipelines and workflows. Must-Have Skills β€’ 8+ years in data engineering/analytics, ideally in banking/financial services. β€’ Expert Power BI (dashboarding, DAX, schema design, real-time). β€’ Databricks / PySpark / SQL for scalable ETL/ELT pipelines. β€’ Cloud-native tools (Azure, AWS). β€’ Workflow automation (Airflow, ADF). β€’ Strong ability to work independently under pressure.