Senior Azure Data & Analytics Engineer (Future Opportunity)

Please note, this opportunity is contingent upon receiving award and is not immediately available.

Location

Washington, DC Metro Area Preferred, but potential for remote / hybrid

Description

We are seeking a highly skilled and experienced Senior Azure Data & Analytics Engineer to join our team. The ideal candidate will be a deep expert in the Microsoft Azure Data Platform, responsible for designing, building, and optimizing our next-generation data warehousing and analytics solutions. This role is critical for transforming raw data into high-value, AI-ready assets, ensuring data quality, performance, and accessibility for business intelligence and machine learning applications.

Required Skills

• Agile Delivery : Experience managing multiple priorities in a fast-paced agile environment.
• Design and Optimization : Architect, build, and maintain highly scalable and fault-tolerant ETL / ELT data pipelines using Azure Data Factory (ADF) and Synapse Pipelines.
• Data Warehousing : Lead the development, maintenance, and performance tuning of the data warehouse environment within Azure Synapse Analytics, specifically managing dedicated SQL pools for petabyte-scale data.
• Modeling : Apply expert knowledge of dimensional modeling techniques (star and snowflake schemas) to create robust, clean, and efficient data models.
• Semantic Layer : Develop optimized semantic layers and consumption models specifically tailored for reporting and visualization tools like Power BI and Tableau.
• AI Readiness : Collaborate with data scientists to implement data preparation, cleansing, and feature engineering processes to ensure data assets are high-quality and “AI ready.”
• Data Transformation : Utilize expert-level T-SQL skills to write, optimize, and manage complex queries, stored procedures, and functions necessary for large-scale data transformation and loading.
• Data Ingestion : Establish and manage efficient data ingestion strategies for diverse, high-volume sources into Azure Data Lake Storage (ADLS Gen2), ensuring proper organization and indexing.

Desired Skills

Professional Competencies

Education

Bachelors in a Technical Discipline – Computer Science, Mathematics, or Data Science

Credentials

Microsoft Azure Data Engineer certification

Years of Experience

5+ years of experience or more

Clearance

Ability to obtain Public Trust High required

About Metric5

About Metric5

Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals.

Our benefits include :

Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration

for employment without regard to race, color, religion, sex, sexual orientation, gender identity,

national origin, disability, or status as a protected veteran.

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