Data Engineer: Scalable Pipelines & Cloud Warehousing

Neotechie; United States; Hybrid; USD 110,000 - 180,000; Full time

Job summary

Neotechie is seeking a Data Engineer to build scalable data pipelines, data warehouses, and ingestion frameworks for enterprise environments. The role focuses on consolidating fragmented data into clean, analytics-ready datasets with governance and data quality across cloud platforms.

You will design, implement, and optimize ETL/ELT processes, collaborate with data scientists and business teams, and manage lakehouse architectures across AWS and Azure.

Qualifications

• Experience designing and building scalable data pipelines for enterprise environments.
• Experience with data governance, quality, and lineage practices.
• Hands-on with modern data stack tools (Snowflake, Databricks, BigQuery, Redshift).
• Bachelor's degree in CS/IT/Engineering or related field; cloud or data certifications a plus.

Responsibilities

• Build and maintain ETL/ELT pipelines from enterprise source systems (EHRs, ERPs, billing, operational databases).
• Design and manage scalable data warehouse and lakehouse architectures for analytics-ready data.
• Implement ingestion, transformation, validation, and orchestration workflows.
• Ensure data quality, lineage, governance, and consistency across pipelines.
• Collaborate with data scientists, analysts, and business teams to deliver reliable data products and reporting solutions.
• Optimize pipeline performance, reliability, and cloud infra costs.
• Develop batch and real-time data processing workflows with modern data engineering frameworks.
• Work with cloud platforms, distributed systems, and large-scale datasets.
• Maintain monitoring, troubleshooting, documentation, and operational support.

Skills

Python

SQL

ETL/ELT

Data Warehousing

Apache Spark

dbt

Airflow

AWS

Azure

Data Pipelines

Lakehouse Architecture

Cloud Data Engineering

Data Modeling

Big Data

Education

Bachelor’s degree in Computer Science/ IT/ Engineering or related field

Tools

Snowflake

Databricks

BigQuery

Redshift

Job description

Neotechie is seeking a Data Engineer to build scalable data pipelines, data warehouses, and ingestion frameworks for enterprise environments. The role focuses on consolidating fragmented data into clean, analytics-ready datasets with governance and data quality across cloud platforms.

You will design, implement, and optimize ETL/ELT processes, collaborate with data scientists and business teams, and manage lakehouse architectures across AWS and Azure.