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Senior Azure Data Engineer

NS IT Solutions
United States
29 days ago
Apply on www.indeed.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$114,400.0 - $135,200.0
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Microsoft Azure Cloud Engineering Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Warehousing Python (Programming Language) Performance Tuning Azure Data Lake SQL Databases Azure Data Factory Apache Spark
+4 more
Pyspark Azure Synapse Analytics Data Pipelines Databricks

Requirements

10+ years of Data Engineering experience Strong expertise in Microsoft Azure Data Platform Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage (ADLS) Proficiency in SQL, Python, and Spark/PySpark Experience building scalable ETL/ELT pipelines and enterprise data solutions Strong understanding of data warehousing, performance optimization, and cloud architecture.

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Good distractions

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

Moments

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2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

Videos

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LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

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

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

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Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • about 2 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
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Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

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