Data Engineer - Build AI-Ready Data Pipelines (Remote)

Kalpavruksh Systems; United States; Remote; USD 13,000 - 19,000; Full time

Job summary

Kalpavruksh Systems is seeking a Data Engineer to design and operate distributed data pipelines and data products in production environments. You will work with architects, AI engineers, and delivery leads to implement modern data platforms, integration flows, and AI-ready data foundations.

The role emphasizes hands-on coding (Python/SQL), ETL/ELT, and data modeling. You’ll contribute to standards, data contracts, and reliable data for analytics and GenAI use cases.

Qualifications

• 36 years of experience in data engineering or a closely related role.
• Strong hands-on coding ability (Python and/or SQL) for building data pipelines.
• Practical experience with ETL/ELT tools and workflow orchestration (e.g., Airflow, dbt, or similar).
• Working knowledge of at least one major cloud data platform (Snowflake, Databricks, AWS, Azure, or GCP).
• Understanding of data modeling fundamentals (dimensional modeling, normalization).
• Exposure to data warehouses or lakehouses in a production setting.
• Basic understanding of data governance concepts: metadata, lineage, and data quality.
• Good communication skills and ability to document work clearly.
• Comfortable working independently on well-defined tasks and asking for guidance on ambiguous ones.

Responsibilities

• Build and maintain ingestion, integration, transformation, and orchestration pipelines.
• Implement ETL/ELT, API, CDC, and streaming integration patterns under architectural guidance.
• Develop and maintain logical and physical data models.
• Build and support data products, including documentation of schemas and data contracts.
• Write clean, tested, well-documented, production-grade code.
• Implement metadata, lineage, data quality checks, and monitoring for pipelines you own.
• Support analytics, ML, and GenAI use cases by delivering reliable, well-structured data.
• Troubleshoot pipeline issues and participate in performance tuning and optimization.
• Follow and help refine engineering standards and reusable patterns set by the architecture team.
• Participate in code reviews and pair with peers; take direction from senior architects on design decisions.

Skills

Python

SQL

ETL/ELT

Airflow

dbt

Snowflake

Databricks

Cloud platforms

Data modeling

Data governance

Documentation

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Airflow

dbt

Snowflake

Databricks

AWS

Azure

GCP

Job description

Kalpavruksh Systems is seeking a Data Engineer to design and operate distributed data pipelines and data products in production environments. You will work with architects, AI engineers, and delivery leads to implement modern data platforms, integration flows, and AI-ready data foundations.

The role emphasizes hands-on coding (Python/SQL), ETL/ELT, and data modeling. You’ll contribute to standards, data contracts, and reliable data for analytics and GenAI use cases.