Remote Cloud Data Engineer - Azure & Snowflake Pipelines

Index Analytics; Baltimore (MD); Hybrid; USD 126,000 - 142,000; Full time

Job summary

Index Analytics, LLC, a Baltimore-based consulting firm, seeks an experienced Data Engineer to design reusable data workflows, build scalable ETL pipelines, and deploy data solutions in production. The role emphasizes governance, cloud architecture, and modern data platforms such as Microsoft Azure SQL and Snowflake.

You will migrate data from legacy warehouses, establish data quality rules, and contribute to compliant data practices while collaborating with cross-functional teams in a

Qualifications

• Must be a U.S. citizen.
• Bachelor’s Degree or equivalent, or 4 years’ relevant experience in lieu of a degree.
• 7 additional years of relevant experience.
• Ability to gain and hold a Public Trust clearance.

Responsibilities

• Apply data engineering principles to develop reusable workflows for data ingestion, quality, transformation, and optimization.
• Set up and maintain effective data compliance policies.
• Build scalable data pipelines using ETL tools and processes.
• Deploy data solutions to production environments.
• Migrate data from legacy data warehouses leveraging cloud architecture principles.
• Automate the flow of data for efficient consumption.
• Build and implement business processes that enable data governance.
• Design and advise on data quality rules.

Skills

US citizenship

Public Trust clearance eligibility

Education

Bachelor’s degree or equivalent

4 years’ relevant experience in lieu of a degree

Tools

Microsoft SQL Server

Snowflake

Azure SQL

ETL pipelines

Job description

Index Analytics, LLC, a Baltimore-based consulting firm, seeks an experienced Data Engineer to design reusable data workflows, build scalable ETL pipelines, and deploy data solutions in production. The role emphasizes governance, cloud architecture, and modern data platforms such as Microsoft Azure SQL and Snowflake.

You will migrate data from legacy warehouses, establish data quality rules, and contribute to compliant data practices while collaborating with cross-functional teams in a