Data Engineer (Azure/Python)

TL;DR

Data Engineer (Azure/Python): Designing and optimizing scalable data platforms to support analytics, reporting, and AI initiatives with an accent on ETL processes and big data technologies. Focus on building automated data pipelines, integrating diverse data sources, and creating tools for data scientists to optimize ML models.

Location: Remote (Must be authorized to work in the U.S.)

Salary: $90,000 - $140,000

Company

A software development and cloud services company specializing in delivering scalable modern software and innovative cloud integrations for diverse clients.

What you will do

• Assemble large, complex data sets using extraction, transformation, and loading (ETL) from a wide variety of sources.
• Design, develop, and optimize data platforms that support analytics, reporting, and AI/ML initiatives.
• Collaborate with architects, solution leads, and data scientists to groom the data platform backlog.
• Deliver automation and efficient processes to ensure high quality throughput and performance.
• Create specialized data tools to assist data scientists in building and optimizing models.
• Ensure all data extraction and transformation processes meet security and compliance requirements.

Requirements

• BS degree in Computer Science, Data Science, Engineering, or equivalent professional experience.
• 4+ years of experience with SQL, Snowflake, Databricks, and Spark.
• 4+ years of proficiency in Python, PySpark, or R for processing large, disconnected data sets.
• 2+ years of experience with Azure Data Factory, Data Lake, Azure ML, and Cosmos DB.
• 2+ years of experience with CI/CD, MLOps, Terraform, and Azure DevOps.
• Must be authorized to work for any employer in the U.S. (no sponsorship available).

Nice to have

• Experience with Salesforce FSC and Salesforce Data Cloud.
• Experience with Amazon Web Services (AWS).

Culture & Benefits

• Comprehensive health, dental, and vision insurance.
• 401k retirement savings plan with company match (pre-tax and ROTH options).
• Flexible time off and paid holidays.
• Employer-paid disability, life, and AD&D insurance.
• Health savings account (HSA) with employer contributions.
• Family-oriented benefits including adoption assistance and domestic partner coverage.