Data Engineer
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Job Description
Data Engineer building scalable ETL/ELT pipelines and AI/RAG data workflows. Supporting CodeRoad’s US clients with SQL, Python, orchestration, and production data operations.
Responsibilities:
- Develop, optimize, and maintain reliable ETL/ELT pipelines to ingest, transform, validate, and load transactional data into Microsoft SQL Server and PostgreSQL.
- Contribute to data ingestion and preparation workflows supporting AI applications, including document processing, metadata management, chunking, and embedding generation for RAG systems.
- Use modern AI tools to accelerate code development, improve data transformation workflows, troubleshoot issues, and improve data engineering efficiency.
- Develop, schedule, and monitor data processing jobs using Airflow, Azure Data Factory, and SQL Server Agent.
- Investigate pipeline failures and implement data quality checks.
- Write and optimize SQL queries, contribute to data modeling, and improve database and analytical data structure performance.
- Collaborate with Senior Data Engineers, data scientists, product owners, and IT Operations to resolve production issues and implement improvements.
- Maintain documentation and follow Git, Bitbucket, and Jira workflows.
Requirements:
- 3+ years of professional experience in data engineering, building, maintaining, and troubleshooting data pipelines and data processing workflows in production environments.
- Hands-on experience with Python, particularly for data processing and transformation.
- Strong SQL skills, including joins, CTEs, window functions, aggregations, and query optimization.
- Familiarity with pandas.
- Experience with Microsoft SQL Server or PostgreSQL.
- Practical experience developing or managing data workflows using Airflow, Azure Data Factory (ADF), or SQL Server Agent.
- Familiarity with cloud environments, preferably Azure, is an advantage.
- Understanding of data modeling, relational database structures, and data quality principles.
- Exposure to document ingestion, embeddings, vector search, or data pipelines supporting AI and RAG applications is a plus.
- Experience with Git-based version control, collaborative development workflows, Bitbucket, and Jira.
- Familiarity with CI/CD practices and Docker is an advantage.
- Proactive adoption of AI tools to accelerate development, improve code quality, automate repetitive tasks, and solve technical challenges.
- Strong troubleshooting and problem-solving skills, attention to detail, and ability to take ownership of assigned tasks.
- Good English communication skills, written and verbal.
- Ability to overlap with U.S. Central business hours is required.
Benefits:
- USA Contractor / 100% Remote
- Competitive Pay (USD)
- Holidays Off & Paid Time Off
- Health insurance assistance program
- Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
- Agentic AI tools and training
- Coursera Enterprise
- Studio practice labs
- High-touch onboarding
- Transparent leadership communication
- Community recognition
- Psychological safety
- Continuous multi-project pipeline
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