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Full-Stack Azure Data Engineer

Telecommunications Development Corp.
Laurel, MD, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
indeed.com

Tech stack

Microsoft Azure Extract Transform Load (ETL) Python (Programming Language) Release Management Cloud Services Azure Data Lake SQL Databases Enterprise Data Management Data Logging Software Repository Azure Data Factory Deployment Automation
+2 more
Data Pipelines Databricks

Job description

Develop, deploy, and maintain high-performance, cloud-native data pipelines., * Build and scale ETL/ELT pipelines using Azure Databricks notebooks and Synapse scripts.

  • Implement standardized logging, error handling, and restartable processing patterns to ensure pipeline reliability.
  • Configure integrations with Azure Data Lake Storage, source systems, and enterprise data platforms.
  • Architect and maintain CI/CD pipelines and code repositories to automate environment promotion and release management.

Requirements

Do you have experience in System design?, Strong proficiency in Python/SQL, proven expertise in Azure Databricks and Synapse development, and deep experience with automated deployment strategies like Azure DevOps.

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

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Good distractions

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

Moments

Explore playlists

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:10 min

Exposing sensitive information through partial search logs

Dennis Schulz Dennis Schulz +1 · World Congress 2026 Europe

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

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Crypto-secure Data Management with In-Database Blockchain thumbnail
29:27
World Congress 2023 • about 3 years ago

Crypto-secure Data Management with In-Database Blockchain

Wei Hu

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

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

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

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone thumbnail
27:27
World Congress 2026 Europe • about 2 months ago

TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone

Daniël van Eeden, Mattias Jonsson

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