Sr. Data Engineer

Florham, NJ, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

USD 55.00 per hour

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Databricks
Profit And Loss
Optimization
Business Intelligence
BI Architecture
Extract
Transform
Load
ELT
Change Data Capture
Workflow
Data Integration
Dashboard
Analytical Skill
Leadership
DAX
KPI
Star Schema
Data Governance
Management
Quality Assurance
Semantics
Data Modeling
Data Marts
Dimensional Modeling
Snow Flake Schema
Data Validation
SQL Azure
Analytics
DevOps
Performance Tuning
Parallel Computing
Reporting
Microsoft Power BI
Orchestration
Scheduling
Data Lake
Microsoft Azure
Storage
Data Engineering
SQL
Transact-SQL
Stored Procedures
Query Optimization
Data Warehouse
Python
RESTful
JSON
XML
Data Processing
TCM
DICE

Summary

JOB TITLE: Sr. Data Engineer
JOB LOCATION: Remote
WAGE RANGE*: $55hr to $60hr
JOB NUMBER: 26-00546

REQUIRED EXPERIENCE:
PowerBI Expert

Preferred Experience

Experience building enterprise BI platforms serving 500+ users
Experience with Power BI governance frameworks
Experience integrating Power BI with Azure Synapse or Databricks
Experience building self-service BI platforms

Certifications (Preferred)

Microsoft Power BI Data Analyst (PL-300)
Microsoft Azure Data Engineer (DP-203)
Microsoft Azure Solutions Architect

Required Technical Skills

Power BI (Expert Level)
Power BI Desktop development
Power BI Service administration
Advanced DAX development
Power BI data modeling
Dataset optimization
Incremental refresh
Composite models
DirectQuery architecture
Power BI gateways
Workspace management
Power BI deployment pipelines
Row-Level Security (RLS)
Power BI REST API integration

JOB DESCRIPTION

We are seeking a Senior Data Engineer with strong Power BI expertise to design and deliver enterprise-grade data pipelines, data models, and business intelligence solutions on the Azure platform. The ideal candidate will possess deep experience in Azure Data Factory, advanced SQL development, and enterprise Power BI architecture, enabling the organization to transform complex datasets into scalable analytics platforms and executive dashboards.
This role requires expertise in data engineering, BI architecture, data modeling, performance optimization, and governance of Power BI environments.

Key Responsibilities

Data Engineering & Pipeline Development

Design and implement scalable ETL/ELT pipelines using Azure Data Factory.
Build automated data ingestion pipelines from multiple enterprise systems, APIs, and data lakes.
Implement incremental loads, CDC frameworks, and automated data orchestration workflows.
Develop reusable data integration frameworks to standardize ingestion patterns.

Power BI Development & Architecture (Core Responsibility)

Design and implement enterprise Power BI semantic models and datasets.
Develop high-performance Power BI dashboards and analytical reports for business and executive leadership.
Build complex DAX calculations, measures, and KPIs.
Design optimized data models using star schema and dimensional modeling.
Implement row-level security (RLS) and object-level security (OLS).
Manage Power BI Service workspace architecture and deployment pipelines.
Implement Power BI data governance and best practices.

Advanced Power BI Responsibilities

Optimize Power BI dataset performance and query efficiency.
Implement incremental refresh strategies for large datasets.
Design DirectQuery, Import, and Composite models based on business needs.
Manage Power BI gateway configuration and performance tuning.
Implement Power BI deployment pipelines (Dev / QA / Prod).
Build enterprise semantic layers supporting multiple reports.

Data Modeling & Data Warehouse Design

Design enterprise data warehouse and data mart architectures.
Implement dimensional modeling (Star/Snowflake schema).
Develop curated data models optimized for Power BI consumption.
Ensure data consistency, conformance, and governance.

SQL Development

Develop advanced SQL queries, stored procedures, and functions.
Optimize SQL workloads through:
- Indexing strategies
- Query optimization
- Partitioning
Implement data validation, reconciliation, and quality frameworks.

Azure Data Platform Development
Work with the following Azure services:

Azure Data Factory
Azure Data Lake Storage
Azure SQL Database
Azure Synapse Analytics
Azure Blob Storage
Azure Key Vault
Azure DevOps

Performance Optimization

Monitor and optimize data pipelines and Power BI datasets.
Implement parallel processing frameworks.
Ensure high-performance reporting for large enterprise datasets.
Troubleshoot Power BI refresh failures and query performance issues.

Azure Data Engineering

Azure Data Factory pipeline development
Data orchestration and scheduling
Azure Data Lake
Azure Synapse
Azure Storage

SQL / Data Engineering

Advanced SQL and T-SQL
Stored procedures and functions
Query optimization
Data warehousing design

Programming (Preferred)

Python for data transformation
REST API integrations
JSON / XML data processing

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities

* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

#Dice

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: cxtcml
Position Id: 26-00546
Posted 5 hours ago

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