Design, build, and optimize ETL/ELT pipelines using dbt
Develop and maintain scalable data infrastructure across PostgreSQL, Azure Cosmos DB, and Azure services
Manage and evolve Data Lakehouse architecture, including Apache Iceberg table formats
Improve performance, reliability, and scalability of data systems
Build and maintain Python-based APIs and microservices (Flask or similar frameworks)
Design backend services supporting real-time and batch data access
Enable seamless integration between data platforms and user-facing applications
Work with distributed query engines (Trino) to analyze large, complex datasets
Monitor, troubleshoot, and resolve data quality issues
Manage schema evolution and database performance
Implement data governance practices including lineage and cataloging
Automate data workflows and improve observability through logging and monitoring
Support Data Science teams by building frameworks for model development and deployment
Contribute to MLOps workflows using Azure Machine Learning
Containerize and orchestrate workloads using Docker and Kubernetes
Provide technical mentorship and guidance to junior engineers

Requirements

5+ years of experience in data engineering or related roles
Strong Python skills with experience in building production-grade APIs and microservices
Deep expertise in SQL and PostgreSQL (schema design, performance tuning)
Hands-on experience with dbt for data transformation and pipeline development
Experience working with large-scale data systems and data lake environments
Familiarity with Azure services including Event Hub/Grid and Cosmos DB
Experience with distributed query engines (e.g., Trino)
Exposure to MLOps workflows and tools, ideally within Azure ML
Nice to Have: Experience integrating with Salesforce or similar systems
Nice to Have: Interest or experience in emerging AI patterns (e.g., agent-based systems, autonomous workflows)
Nice to Have: Familiarity with AI-assisted development tools (Copilot, Cursor, etc.)
Nice to Have: Experience with Docker and Kubernetes for orchestration
Nice to Have: Background in data governance, cataloging, or lineage tools

Benefits

Comprehensive medical, vision and dental benefits that give you peace of mind.
Flexible Spending Accounts (FSA) that let you use pre-tax dollars to cover healthcare expenses.
A fantastic 401K with matching contributions that helps you plan for retirement and build wealth over time.
Generous sick, vacation, and holiday benefits that give you the time and flexibility you need to enjoy life.
A gym membership contribution that supports your well-being, and helps you stay energized and focused.
An internal referral program that rewards you for bringing talented people to the team.
Company events that foster a positive and inclusive culture, and create opportunities to bond and grow with your colleagues.

Applicant Tracking System Keywords

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

Hard Skills & Tools

ETLELTdbtPythonAPIsmicroservicesSQLPostgreSQLdata governanceMLOps

Soft Skills

technical mentorshiptroubleshootingproblem-solvingcommunication