This position is no longer accepting applications
Closed on September 1, 2026.
This role is filled — get an email when new Data Analytics roles open on DataJobs.io:
Senior Data Engineer
Senior
Azure Machine Learning
Azure Synapse Analytics
Cloud Platform
Cloud Platforms
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
ETL
Pyspark
Spark
SQL
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Analytics jobs on DataJobs.io alert.
See other roles at Sgn Global Technologies.
Job Description
Senior Data Engineer role at Sgn Global Technologies, a remote W2 position focused on building and maintaining SQL databases, ELT/ETL pipelines, and data processing using Python, PySpark/Polars, Azure Synapse Analytics, and Azure Machine Learning.
Responsibilities
- Maintain SQL databases and perform advanced SQL and T‑SQL operations to ensure data integrity and performance.
- Design, implement, and sustain ELT/ETL pipelines within cloud-based analytics environments.
- Collaborate with Azure Synapse Analytics and Azure Machine Learning in the modern data stack; DP-203 certification or equivalent is preferred.
- Manipulate and transform data using Python, with Pandas proficiency required.
- Work with PySpark and/or Polars to process large-scale datasets as needed.
Requirements
- Bachelor’s degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or a related field, or 5+ years of relevant applied work experience.
- 5+ years hands-on experience maintaining SQL databases and performing advanced SQL and T‑SQL operations.
- 5+ years hands-on experience designing, implementing, and maintaining ELT/ETL pipelines in cloud-based data analytics environments.
- 3+ years hands-on experience with Azure Synapse Analytics and Azure Machine Learning using the modern data stack; DP-203 (or equivalent) certification is preferred.
- Data manipulation using Python with Pandas required.
- Experience with PySpark and/or Polars is preferred.
Technologies
- SQL
- T‑SQL
- Azure Synapse Analytics
- Azure Machine Learning
- Python
- Pandas
- PySpark
- Polars