Metric5
Senior Azure Data & Analytics Engineer (Future Opportunity)
2 days ago • Be among the first 25 applicants
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 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 pipelines using Azure Data Factory (ADF) and Synapse Pipelines.
Data Warehousing: Lead development, maintenance, and performance tuning of the data warehouse within Azure Synapse Analytics, managing dedicated SQL pools for petabyte‑scale data.
Modeling: Apply expert knowledge of dimensional modeling (star and snowflake schemas) to create robust, clean, and efficient data models.
Semantic Layer: Develop optimized semantic layers and consumption models for reporting and visualization tools like Power BI and Tableau.
AI Readiness: Collaborate with data scientists to implement data preparation, cleansing, and feature engineering for AI‑ready data assets.
Data Transformation: Utilize expert‑level T‑SQL skills to write, optimize, and manage complex queries, stored procedures, and functions for large‑scale data transformation and loading.
Data Ingestion: Establish and manage efficient ingestion strategies for diverse, high‑volume sources into Azure Data Lake Storage (ADLS Gen2).
Desired Skills
DevOps: Experience with Azure services such as Azure Functions, Azure Key Vault, Azure Repos and Azure DevOps for CI/CD.
Language Proficiency: Proficiency in Python or Scala for advanced data processing tasks, and experience with JavaScript, C#, or PowerShell.
Platform Development: Development experience with the Azure Power BI Service.
Data Sources: Experience using SharePoint Libraries and Lists as data sources.
Advanced Concepts: Understanding of development concepts such as parameterization and metadata‑driven development.
Reverse Engineering: Proficient in reverse engineering other developers’ work.
Professional Competencies
Customer Focus: Ability to collaborate and communicate with customers to identify requirements.
Self‑Management: Manage and prioritize own tasks, providing status updates.
Leadership: Lead, move, and drive work along while removing development roadblocks.
Education Bachelor’s 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 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals and 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
Health & Dental Insurance with 100% of individual coverage paid for by the company.
Vision Insurance.
Life & Short Term Disability Insurance.
401K with company match (employees are immediately vested).
Paid Vacation.
9 Paid Holidays per year (plus 2 paid floating holidays).
Parental Leave.
Employee Bonuses.
Professional Development Reimbursement Program.
Tuition Assistance Program.
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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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 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 pipelines using Azure Data Factory (ADF) and Synapse Pipelines.
Data Warehousing: Lead development, maintenance, and performance tuning of the data warehouse within Azure Synapse Analytics, managing dedicated SQL pools for petabyte‑scale data.
Modeling: Apply expert knowledge of dimensional modeling (star and snowflake schemas) to create robust, clean, and efficient data models.
Semantic Layer: Develop optimized semantic layers and consumption models for reporting and visualization tools like Power BI and Tableau.
AI Readiness: Collaborate with data scientists to implement data preparation, cleansing, and feature engineering for AI‑ready data assets.
Data Transformation: Utilize expert‑level T‑SQL skills to write, optimize, and manage complex queries, stored procedures, and functions for large‑scale data transformation and loading.
Data Ingestion: Establish and manage efficient ingestion strategies for diverse, high‑volume sources into Azure Data Lake Storage (ADLS Gen2).
Desired Skills
DevOps: Experience with Azure services such as Azure Functions, Azure Key Vault, Azure Repos and Azure DevOps for CI/CD.
Language Proficiency: Proficiency in Python or Scala for advanced data processing tasks, and experience with JavaScript, C#, or PowerShell.
Platform Development: Development experience with the Azure Power BI Service.
Data Sources: Experience using SharePoint Libraries and Lists as data sources.
Advanced Concepts: Understanding of development concepts such as parameterization and metadata‑driven development.
Reverse Engineering: Proficient in reverse engineering other developers’ work.
Professional Competencies
Customer Focus: Ability to collaborate and communicate with customers to identify requirements.
Self‑Management: Manage and prioritize own tasks, providing status updates.
Leadership: Lead, move, and drive work along while removing development roadblocks.
Education Bachelor’s 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 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals and 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
Health & Dental Insurance with 100% of individual coverage paid for by the company.
Vision Insurance.
Life & Short Term Disability Insurance.
401K with company match (employees are immediately vested).
Paid Vacation.
9 Paid Holidays per year (plus 2 paid floating holidays).
Parental Leave.
Employee Bonuses.
Professional Development Reimbursement Program.
Tuition Assistance Program.
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.
#J-18808-Ljbffr