CodeRoad

CodeRoad

CodeRoad is a software development company that specializes in turning ideas into reality. With a team of over 100 experts, we offer a range of services including product management, creative design, development, quality control, and project management...

Internet Software & Services
51-250
Founded 2002

Description

  • Design, build, optimize, and maintain ETL/ELT pipelines for high-volume data in MS SQL Server and PostgreSQL.
  • Architect ingestion, metadata, chunking, and embedding pipelines for RAG platforms and automated detection systems.
  • Use AI tools to accelerate code development, data modeling, and dataset design.
  • Orchestrate and monitor workflows with Airflow, Azure Data Factory, and SQL Agent while enforcing data quality checks.
  • Tune SQL queries and optimize dimensional models, data warehouses, and lakehouse architectures.
  • Collaborate with product owners, data scientists, and IT Operations to resolve production issues and enforce governance.
  • Maintain Git/Bitbucket and Jira delivery standards.

Requirements

  • 3+ years of professional data engineering experience supporting production-grade, high-volume pipelines.
  • Advanced proficiency in Python, including pandas, and SQL with complex CTEs, window functions, and query tuning.
  • Deep experience with MS SQL Server and PostgreSQL.
  • Hands-on workflow orchestration experience with Airflow, Azure Data Factory, or SQL Agent.
  • Cloud experience, preferably with Azure.
  • Understanding of dimensional modeling, lakehouse structures, embeddings, document ingestion, and vector search.
  • Experience with Git/Bitbucket, Jira, and CI/CD practices.
  • Docker or containerization experience is preferred.
  • Fluent written and verbal English, with the ability to explain technical concepts to cross-functional stakeholders.
  • Availability to overlap with U.S. Central business hours.

Benefits

  • 100% remote USA contractor arrangement.
  • Competitive compensation paid in USD.
  • Paid holidays and paid time off.
  • Health insurance assistance program.
  • Exposure to high-growth U.S.-based companies and modern technology stacks.
  • Access to AI tools and training, Coursera Enterprise, practice labs, and a career framework.

Interested in this position?

Apply directly on the company website

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