Data Engineer

Phyton Talent Advisors; Jersey City (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Phyton Talent Advisors is seeking a Data Engineer to design, develop, and support modern data platforms and pipelines powering analytics, reporting, and AI-driven solutions. You will work with Snowflake, Python, SQL, Power BI/Qlik, AWS, Oracle, and Airflow to build scalable, cloud-native data solutions.

The role emphasizes data quality, governance, and collaboration with architects, analysts, and data scientists to enable AI/GenAI initiatives and enterprise data strategies.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of experience in Data Engineering or Data Platform development.
• Strong hands-on expertise in Snowflake.
• SQL (Advanced).
• Python (Advanced).
• Power BI/Qlik.
• AWS.
• Oracle.
• Experience designing and supporting enterprise-scale data pipelines and data warehouses.
• Strong understanding of data modeling, performance optimization, and cloud-based data architectures.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines using Python and SQL.
• Develop and optimize data solutions in Snowflake, including data modeling, performance tuning, and automation.
• Integrate and transform data from Oracle, APIs, flat files, AWS services, and other enterprise systems.
• Build and manage workflow orchestration using TWS/ Apache Airflow.
• Ensure data quality, reliability, security, and governance across the data platform.
• Support AI and analytics initiatives by preparing datasets and building pipelines for ML and Generative AI use cases.
• Collaborate closely with architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions.

Skills

Snowflake

SQL

Python

Power BI

Qlik

AWS

Oracle

Apache Airflow

ETL/ELT

Data Warehousing

Data Modeling

Snowpark

AI/GenAI

Data Governance

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

Tools

Apache Airflow

Snowflake

AWS

Oracle

Job description

Position Summary

We are seeking a skilled Data Engineer to design, develop, and support modern data platforms and pipelines that power analytics, reporting, and AI-driven solutions. The ideal candidate will have strong expertise in Snowflake, Python, SQL, Power BI/Qlik, AWS, Oracle, and Apache Airflow, with exposure to AI/Generative AI technologies.

Responsibilitie

• Design, build, and maintain scalable ETL/ELT data pipelines using Python and SQL
• Develop and optimize data solutions in Snowflake, including data modeling, performance tuning, and automation
• Integrate and transform data from Oracle, APIs, flat files, AWS services, and other enterprise systems
• Build and manage workflow orchestration using TWS/ Apache Airflow
• Ensure data quality, reliability, security, and governance across the data platform
• Support AI and analytics initiatives by preparing datasets and building pipelines for ML and Generative AI use cases
• Collaborate closely with architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions

.

Required Qualificatio

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of experience in Data Engineering or Data Platform development.
• Strong hands-on expertise in Snowflake
• SQL (Advanced)
• Python (Advanced)
• Power BI/Qlik
• AWS
• Oracle
• Experience designing and supporting enterprise-scale data pipelines and data warehouses
• Strong understanding of data modeling, performance optimization, and cloud-based data architectures
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Snowpark, Streams, Tasks, and Dynamic Tables
• Exposure to AI/ML, Generative AI, RAG architectures, or vector databases
• Experience with Kafka
• SnowPro and/or AWS certification
• Experience in financial services or capital markets environments.

Key Skills

iSnowflake | SQL | Python | Power BI/Qlik | AWS | Oracle | Airflow | ETL/ELT | Data Warehousing | Data Modeling | Snowpark | AI/GenAI | Data Governance

Ideal Candid

ate: A hands-on engineer with deep SQL and Python expertise, capable of building scalable cloud-native data solutions while helping enable the organization's AI and analytics strategy.