Design, build, and maintain scalable data architectures in Azure, including Azure Storage Accounts, Azure SQL Databases, Azure Data Factory, and NoSQL technologies such as Cosmos DB and MongoDB
Develop and optimize ETL/ELT pipelines for structured and unstructured data using Azure Functions, Python, and T-SQL
Utilize Python for API development, scripting, and process automation, enabling seamless data integration and workflow orchestration
Manage data warehouse setup, performance tuning, and maintenance, ensuring data quality, consistency, and accessibility
Integrate data across systems using APIs and develop custom solutions in Python, .NET, and Java for application interoperability
Collaborate with business stakeholders to translate analytical needs into technical specifications and data models
Work closely with DevOps teams to implement CI/CD workflows through Azure DevOps and GitHub
Administer and automate processes across SharePoint, Power Apps, and Power Automate environments
Implement robust data governance, metadata management, and security frameworks aligned with organizational policies
Support analytics and visualization teams by preparing optimized datasets for Power BI and other BI tools
Lead migration and modernization efforts using ShareGate, Snowflake, and cloud-native technologies
Explore and prototype emerging capabilities in Machine Learning and AI model development to enhance data-driven decision-making
Document data systems, APIs, and pipelines, ensuring maintainability and knowledge sharing across teams
Support proposals, business development, and client presentations related to data engineering and digital transformation initiatives.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field
4+ years of experience in data engineering, database development, and data integration in enterprise environments
Hands-on experience with Azure SQL, Azure Storage, Azure Data Factory, and T-SQL
Proven expertise in data warehouse design, ETL/ELT processes, and performance optimization
Strong proficiency in Python for data processing, API development, and automation scripting
Experience developing and integrating APIs using Python, .NET, and Java
Familiarity with NoSQL databases including Cosmos DB, MongoDB, and Cassandra
Solid understanding of Power Platform tools (Power Apps, Power Automate, Power BI) and SharePoint Administration
Working knowledge of version control and deployment pipelines using GitHub and Azure DevOps
Familiarity with Snowflake and cloud data ecosystem integration
Excellent analytical, problem-solving, and communication skills, with the ability to translate technical concepts into actionable business insights.

Benefits

Health insurance, including an option with a Health Savings Account
Dental insurance
Vision insurance
Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable)
Disability insurance
Life Insurance and Accidental Death & Dismemberment
401(k) Plan
Retirement Counseling
Employee Assistance Program
Paid Time Off (16 days)
Paid Holidays (9 days)
Back-Up Dependent Care (up to 10 days per year)
Parental Leave (up to 80 hours)
Continuing Education Program
Professional Licensure and Society Memberships

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architectureETLELTPythonT-SQLAPI developmentdata warehouse designperformance optimizationNoSQLmachine learning

Soft Skills

analytical skillsproblem-solvingcommunicationcollaborationtechnical specification translation

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Data Engineering