Data Engineer

Intone Inc; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Intone Inc. is seeking a Data Engineer for a 12-month contract position, based remotely. The role focuses on designing, building, and optimizing data pipelines and ELT processes at scale.

The candidate will design ELT processes, develop multi-step data pipelines with Azure Data Factory, and write Python/PLSQL scripts while tuning SQL for performance. Experience with MongoDB, Cosmos DB, and VBA in Excel is highly valued. Knowledge of containerized ETL in Kubernetes is a plus.

Qualifications

• 10+ years of experience as a Data Engineer.
• Proven track record of developing productive ELT processes.
• Experience building multi-step ELT jobs and robust data pipelines.
• Proficiency with Python and PL/SQL scripts.
• Deep knowledge of SQL tuning and optimization.
• Extensive experience with SQL databases.
• Experience with MongoDB and Cosmos DB.
• VBA scripting experience for data reporting and dashboarding in Excel.

Responsibilities

• Design and develop productive ELT processes with a proven track record of delivery.
• Build multi-step ELT jobs and robust data pipelines using tools such as Azure Data Factory.
• Write and optimize Python and PL/SQL scripts for data processing and transformation.
• Tune and optimize SQL queries for performance and efficiency.
• Work with SQL databases and NoSQL platforms including MongoDB and Cosmos DB.
• Build data reporting and dashboarding solutions in Excel using VBA scripting.
• Support ETL workflows related to containerized applications deployed on Kubernetes environments.

Skills

ELT development

Python

PL/SQL

SQL tuning

SQL databases

MongoDB

Cosmos DB

VBA scripting

Excel dashboards

Azure Data Factory

Kubernetes

Tools

Azure Data Factory

Azure Synapse

Azure Databricks

Azure Kubernetes Service (AKS)

Job description

We are seeking a Data Engineer for a 12-month contract position, based remotely. This role focuses on designing, building, and optimizing data pipelines and ELT processes at scale.

Responsibilities

• Design and develop productive ELT processes with a proven track record of delivery
• Build multi-step ELT jobs and robust data pipelines using tools such as Azure Data Factory
• Write and optimize Python and PL/SQL scripts for data processing and transformation
• Tune and optimize SQL queries for performance and efficiency
• Work with SQL databases and NoSQL platforms including MongoDB and Cosmos DB
• Build data reporting and dashboarding solutions in Excel using VBA scripting
• Support ETL workflows related to containerized applications deployed on Kubernetes environments

Qualifications

Required

• 10+ years of experience as a Data Engineer
• Proven track record of developing productive ELT processes
• Experience building multi-step ELT jobs and robust data pipelines
• Proficiency with Python and PL/SQL scripts
• Deep knowledge of SQL tuning and optimization
• Extensive experience with SQL databases
• Experience with MongoDB and Cosmos DB
• VBA scripting experience for data reporting and dashboarding in Excel

Preferred

• Experience with Azure Data Factory
• Synapse Analytics experience
• Azure Databricks experience
• Azure cloud certifications or past cloud experience
• AKS (Azure Kubernetes Service) experience
• ETL experience with containerized applications deployed on Kubernetes (AKS or EKS)