Coforge
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer at Coforge. Skills: Data Engineering, Python, AWS, Snowflake, DBT, Airflow, Terraform, Docker, AI/LLM, RAG, LangChain. Lead the design, development, and optimization of scalable data engineering solutions and cloud-based data pipelines.. Develop and maintain modern data platforms using technologies such as AWS, Snowflake, DBT, Airflow, Python, Docker, and Infrastructure as Code tools.”
Industry & Context.
problem-solving
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field., 8+ years of experience in Data Engineering or related technical roles., hands-on experience with Python and modern data engineering practices., Experience with cloud platforms such as AWS and data technologies including Snowflake, DBT, Airflow, and Docker., Experience with Infrastructure as Code tools such as Terraform or equivalent technologies., understanding of data architecture, ETL/ELT pipelines, and scalable distributed systems., Hands-on experience with AI/LLM concepts including RAG implementations and AI-driven workflows., Familiarity with modern AI frameworks and tools such as LangChain, vector databases, MCP servers, or similar technologies., Experience working in Agile/Scrum environments and collaborating across technical teams., leadership, communication, analytical, and problem-solving skills with the ability to take ownership at a project level.
Nice to Have
Experience with AWS Bedrock and AI Knowledge Bases., Familiarity with alternative data orchestration and database technologies such as Dagster, PostgreSQL, SQL Server, or CloudFormation., Knowledge of CI/CD pipelines and DevOps best practices., Experience mentoring technical teams or leading engineering initiatives.
What You'll Do.
and optimization of scalable data engineering solutions and cloud-based data pipelines.
Develop and maintain modern data platforms using technologies such as AWS
and Infrastructure as Code tools.
Contribute to AI-driven initiatives by implementing and enhancing LLM
and intelligent data solutions using modern AI frameworks and tools.
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to drive project delivery, ensure technical alignment, and support overall team execution.; Experience working in Agile/Scrum environments and collaborating across technical teams.
Communication Scope
communication
Process & Methodology
ability to take ownership at a project level.
Full Job Description
Job Title: Lead Data Engineer Key Skills: Python, AWS, Snowflake, DBT, Airflow, Terraform, Docker, AI/LLM, RAG, LangChain Experience: +8 YOE. Location Costa Rica Mode: Remote We at Coforge are hiring Position (#21330) with the following skill set. Key Responsibilities Lead the design, development, and optimization of scalable data engineering solutions and cloud-based data pipelines. Collaborate with cross-functional teams to drive project delivery, ensure technical alignment, and support overall team execution. Develop and maintain modern data platforms using technologies such as AWS, Snowflake, DBT, Airflow, Python, Docker, and Infrastructure as Code tools. Contribute to AI-driven initiatives by implementing and enhancing LLM, RAG, and intelligent data solutions using modern AI frameworks and tools. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. 8+ years of experience in Data Engineering or related technical roles. Strong hands-on experience with Python and modern data engineering practices. Experience with cloud platforms such as AWS and data technologies including Snowflake, DBT, Airflow, and Docker. Experience with Infrastructure as Code tools such as Terraform or equivalent technologies. Strong understanding of data architecture, ETL/ELT pipelines, and scalable distributed systems. Hands-on experience with AI/LLM concepts including RAG implementations and AI-driven workflows. Familiarity with modern AI frameworks and tools such as LangChain, vector databases, MCP servers, or similar technologies. Experience working in Agile/Scrum environments and collaborating across technical teams. Strong leadership, communication, analytical, and problem-solving skills with the ability to take ownership at a project level. Preferred Skills: Experience with AWS Bedrock and AI Knowledge Bases. Familiarity with alternative data orchestration and database technologies such as Dagster, PostgreSQL,
Applying for this Lead Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Coforge?
Real rants from real employees. Read before you apply.