Data Engineer

MeeBoss; Jersey City (NJ); Hybride; USD 120 000 - 180 000; Plein temps

Résumé du poste

MeeBoss is seeking a skilled Data Engineer to design, develop, and support modern data platforms and pipelines powering analytics, reporting, and AI-driven solutions. You will leverage Snowflake, Python, SQL, and AWS with exposure to GenAI technologies.

The role emphasizes building scalable data solutions, data modeling, and governance while collaborating with architects, analysts, and data scientists across the enterprise.

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) AWS Oracle Apache Airflow.
• 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.

Responsabilités

• 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, AWS services, and other enterprise systems.
• Build and manage workflow orchestration using Apache Airflow.
• Develop cloud-native data solutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS.
• 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 with architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions.

Connaissances

Dataengineering

Snowflake

Python

AWS

Formation

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

Outils

Oracle

Apache Airflow

Snowflake SQL

AWS

Description du poste

DataEngineer- Snowflake, Python, AWS & AI

Location - Jersey City, NJ – Remote

Must Have Skills

Dataengineering

Snowflake

Python, AWS

Summary

We are seeking a skilledDataEngineerto design, develop, and support moderndataplatforms and pipelines that power analytics, reporting, and AI-driven solutions.

The ideal candidate will have strong expertise in Snowflake, Python, SQL, AWS, Oracle, and Apache Airflow, with exposure to AI/Generative AI technologies.

Responsibilities

• Design, build, and maintain scalable ETL/ELTdatapipelines using Python and SQL. Develop and optimizedatasolutions in Snowflake, includingdatamodeling, performance tuning, and automation. Integrate and transformdatafrom Oracle, APIs, AWS services, and other enterprise systems.

• Build and manage workflow orchestration using Apache Airflow.

• Develop cloud-nativedatasolutions utilizing AWS services such as S3, Glue, Lambda, and ECS/EKS.

• Ensuredataquality, reliability, security, and governance across thedataplatform.

• Support AI and analytics initiatives by preparingdatasets and building pipelines for ML and Generative AI use cases. Collaborate closely with architects, analysts,datascientists, and business stakeholders to deliver scalabledatasolutions.

Required Qualifications

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

• 5+ years of experience inDataEngineering orDataPlatform development.

• Strong hands-on expertise in: Snowflake SQL (Advanced) Python (Advanced) AWS Oracle Apache Airflow

• Experience designing and supporting enterprise-scaledatapipelines anddatawarehouses.

• Strong understanding ofdatamodeling, performance optimization, and cloud-baseddataarchitectures.

• 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 vectordatabases.

• Experience with Spark, Kafka, orDatabricks. SnowPro and/or AWS certifications. Experience in financial services or capital markets environments.

Key Skills

Snowflake | SQL | Python | AWS | Oracle | Airflow | ETL/ELT |DataWarehousing |DataModeling | Snowpark | AI/GenAI |DataGovernance

Ideal Candidate: A hands-onengineerwith deep SQL and Python expertise, capable of building scalable cloud-nativedatasolutions while helping enable the organization's AI and analytics strategy