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Power BI & Data Engineer

The Modern
Raleigh, NC, United States
7 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Microsoft Azure Extract Transform Load (ETL) Data Warehousing JSON Python (Programming Language) SQL Azure Query Optimization Power BI Salesforce.Com PL-SQL Parquet Data Processing
+7 more
Sql Optimization Snowflake Data Lakes Semi-structured Data Azure Synapse Analytics Data Pipelines Databricks

Requirements

  • 5+ years of hands-on Power BI dashboard development

  • 5+ years supporting Power BI datasets, dataflows, DirectQuery/Import models

  • 5+ years of advanced SQL, ETL/ELT, query tuning, and optimization

  • 5+ years of PL/SQL development

  • 3+ years building scalable data pipelines using Azure Synapse, Snowflake, or Databricks

  • 3+ years of Python or Scala for data processing

  • 3+ years working with JSON, CSV, Parquet, and other structured/semi-structured data

  • 2+ years of Azure experience including Synapse, Data Lake, Data Factory, and Azure SQL

  • Experience with ADLS, Delta Lake, data modeling, and data warehousing

  • Salesforce/API integration experience is highly valuable

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:50 min

How Parquet metadata enables efficient data reading

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:03 min

Introduction to open table formats built on Parquet

Matthias Niehoff Matthias Niehoff · World Congress 2026 Europe

2:03 min

Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters · World Congress 2025

Videos

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Parquet, Delta, Iceberg & Ducklake - An introduction for developers thumbnail
28:42
World Congress 2026 Europe • about 2 months ago

Parquet, Delta, Iceberg & Ducklake - An introduction for developers

Matthias Niehoff

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Tips and Tricks for Working with JSON thumbnail
8:30
LIVE • almost 2 years ago

Tips and Tricks for Working with JSON

Dan Cranney

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Introducing JSON Structure thumbnail
31:01
World Congress 2026 Europe • about 2 months ago

Introducing JSON Structure

Clemens Vasters

OLAP for AI Applications and why you should care thumbnail
30:06
World Congress 2026 Europe • about 2 months ago

OLAP for AI Applications and why you should care

Andrey Abramov

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