

Senior Power BI Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Power BI Developer on a contract-W2 basis in Jersey City, NJ (Hybrid), requiring 12-15 years of experience. Key skills include Power BI, SQL, DAX, and data modeling. Microsoft Power BI certification is a plus.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
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ποΈ - Date discovered
July 15, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Jersey City, NJ
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π§ - Skills detailed
#Azure Databricks #Security #Apache Spark #Datasets #Snowflake #SQL Server #REST API #Synapse #Data Transformations #REST (Representational State Transfer) #Microsoft Power BI #DAX #"ETL (Extract #Transform #Load)" #R #SQL Queries #SQL (Structured Query Language) #Data Modeling #Data Extraction #Azure #Databases #Data Engineering #Deployment #Spark (Apache Spark) #Data Science #Delta Lake #Documentation #Computer Science #Data Cleansing #DevOps #PySpark #Data Processing #BI (Business Intelligence) #JSON (JavaScript Object Notation) #Python #Data Accuracy #Data Pipeline #DBA (Database Administrator) #Databricks #PostgreSQL #Cloud #Data Lake
Role description
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Job Title: Senior Power BI Developer
Location: Jersey city ,NJ ( Hybrid)
Experience Level: Senior (12-15 Yrs required)
Job Type: Contract-W2
Job Summary:
We are seeking a Senior Power BI Developer to join our team, responsible for designing, developing, and maintaining enterprise-level BI solutions. The ideal candidate will have deep expertise in Power BI, strong SQL skills, and experience in data modeling, DAX, and ETL processes. Exposure to Azure Databricks is a plus, making it ideal for candidates familiar with modern cloud-based data platforms.
Key Responsibilities:
β’ Develop and Maintain Power BI Reports & Dashboards:
β’ Design interactive and visually appealing reports using Power BI Desktop & Power BI Service.
β’ Implement complex DAX calculations, measures, and data transformations.
β’ Ensure data accuracy, performance optimization, and usability of dashboards.
β’ Data Modeling & ETL:
β’ Design and implement star schema and snowflake data models in Power BI.
β’ Work with Power Query (M language) for data cleansing and transformation.
β’ Develop efficient ETL workflows to prepare data for analysis.
β’ SQL & Data Engineering:
β’ Write complex SQL queries for data extraction, transformation, and aggregation.
β’ Optimize query performance for large datasets.
β’ Collaborate with database administrators & data engineers to integrate Power BI with various data sources (SQL Server, Azure Synapse, Databricks, APIs, etc.).
β’ Azure & Databricks Exposure (Nice to Have):
β’ Understand Azure Data Lake, Azure Synapse, and Azure Databricks for data processing.
β’ Assist in integrating Power BI with Azure-based data pipelines.
β’ Work with Apache Spark or Delta Lake for data transformation (if applicable).
β’ Collaboration & Stakeholder Communication:
β’ Gather business requirements from stakeholders and translate them into BI solutions.
β’ Work closely with data engineers, analysts, and business teams to drive data-driven decisions.
β’ Provide documentation, training, and support to end-users on Power BI best practices.
Required Skills & Qualifications:
β’ 5+ years of experience in Power BI development.
β’ Strong knowledge of DAX, Power Query (M), and data modeling.
β’ Expertise in SQL and relational databases (e.g., SQL Server, PostgreSQL, Snowflake).
β’ Experience in performance tuning & optimizing Power BI reports.
β’ Knowledge of Power BI Service, Gateways, Row-Level Security (RLS), and workspace management.
β’ Ability to work with REST APIs, JSON, or data connectors.
β’ Strong analytical, problem-solving, and communication skills.
Preferred Skills (Nice to Have):
β’ Exposure to Azure Data Services (Azure Synapse, Data Factory, Data Lake).
β’ Basic understanding of Azure Databricks and PySpark.
β’ Experience with CI/CD for Power BI reports (using DevOps or Power BI Deployment Pipelines).
β’ Knowledge of Python or R for advanced analytics.
Education & Certifications:
β’ Bachelorβs or Masterβs degree in Computer Science, Data Science, Information Systems, or related field.
β’ Microsoft Power BI certification (PL-300) is a plus.
β’ Azure-related certifications (DP-203, DP-900, or AZ-104) are a plus.
EEO Statement
We are proud to be an Equal Employment Opportunity (EEO) and Affirmative Action employer. We at HL Solutions does not discriminate based on Race, Religion, Color, National origin, Sex, Sexual orientation, Gender identity, Gender expression, Age, and Disability status.