Data Engineer

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

Job Summary

Seeking a Data Engineer with experience building scalable data pipelines, data warehouses, and ingestion frameworks for enterprise environments. The role involves consolidating fragmented enterprise data into clean, reliable, and analytics-ready datasets while ensuring performance, governance, and data quality across cloud-based platforms.

Responsibilities

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

Required Skills

• Python
• SQL
• ETL / ELT
• Data Warehousing
• Apache Spark
• dbt
• Airflow
• AWS
• Azure
• Data Pipelines
• Lakehouse Architecture
• Cloud Data Engineering
• Data Modeling
• Big Data

Preferred Skills

• Experience working with healthcare, financial, or energy sector datasets and compliance requirements.
• Hands-on experience with modern data stack tools such as Snowflake, Databricks, BigQuery, or Redshift.
• Familiarity with distributed data processing and orchestration frameworks.
• Understanding of data governance, metadata management, and data reliability practices.
• Strong analytical, troubleshooting, and collaboration skills.
• Education: Bachelor s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field. Relevant cloud or data engineering certifications and enterprise data platform experience are a plus.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.