Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Jersey City (NJ); On-site; USD 83,000 - 165,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Jersey City, NJ, seeks an experienced Data Engineer to build scalable data pipelines, data warehouses, and integration solutions. You will transform raw data into analytics-ready datasets to support BI, reporting, and data science initiatives.

The role requires 5+ years in data engineering, strong Python/SQL skills, and hands-on cloud data platform experience. Collaboration with analysts, scientists, and stakeholders is essential for effective data governance

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in data engineering, data integration, or ETL development.
• Strong proficiency in Python, SQL, and data transformation techniques.
• Hands-on experience with cloud data platforms and distributed processing.
• Understanding of relational databases, data warehousing, and data lake architecture.
• Experience with performance tuning, debugging, and production support.

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for structured and semi-structured data.
• Ingest data from APIs, databases, files, and streaming sources.
• Build scalable data transformation workflows using Python, SQL, and Spark.
• Develop and optimize data warehouse tables, data models, and analytical datasets.
• Implement batch and real-time data processing solutions.
• Improve query performance, pipeline reliability, and data processing efficiency.
• Implement data quality checks, validation rules, reconciliation, and error-handling mechanisms.
• Monitor production pipelines and troubleshoot data failures.
• Apply data security, access controls, and governance standards.
• Collaborate with data analysts, data scientists, architects, and business stakeholders.
• Automate deployments and support CI/CD practices.
• Maintain technical documentation and participate in Agile development activities.

Skills

Python

SQL

PySpark

Data pipelines

ETL/ELT

Cloud platforms

Big data

CI/CD

Docker

Education

Bachelor's degree in CS/IT/Engineering

Tools

Informatica

Azure Data Factory

AWS Glue

Snowflake

Databricks

Redshift

BigQuery

Spark

Hadoop

Kafka

PostgreSQL

SQL Server

Oracle

MySQL

AWS/Azure/GCP

Git

CI/CD

Docker

Job description

Job Description

Job Overview

Job ID: J53722

Job Title: Data Engineer

Location: Jersey City, NJ

Duration: 6 Months + Extension

Domain Exposure: IT/Software

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

We are seeking an experienced Data Engineer to build and maintain scalable data pipelines, data warehouses, and data integration solutions. The candidate will transform raw data into reliable, analytics-ready datasets and support business intelligence, reporting, and data science initiatives.

Required Technical Skills

• Programming: Python, SQL, PySpark.
• ETL/ELT: Informatica, Azure Data Factory, AWS Glue, or equivalent data integration tools.
• Data Platforms: Snowflake, Databricks, Amazon Redshift, or Google BigQuery.
• Big Data: Apache Spark, Hadoop, Kafka.
• Databases: PostgreSQL, SQL Server, Oracle, or MySQL.
• Cloud: AWS, Azure, or GCP.
• Data Modeling: Star schema, snowflake schema, dimensional modeling, and data warehouse design.
• DevOps: Git, CI/CD, Docker, and automated testing.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for structured and semi-structured data.
• Ingest data from APIs, databases, files, and streaming sources.
• Build scalable data transformation workflows using Python, SQL, and Spark.
• Develop and optimize data warehouse tables, data models, and analytical datasets.
• Implement batch and real-time data processing solutions.
• Improve query performance, pipeline reliability, and data processing efficiency.
• Implement data quality checks, validation rules, reconciliation, and error-handling mechanisms.
• Monitor production pipelines and troubleshoot data failures.
• Apply data security, access controls, and governance standards.
• Collaborate with data analysts, data scientists, architects, and business stakeholders.
• Automate deployments and support CI/CD practices.
• Maintain technical documentation and participate in Agile development activities.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in data engineering, data integration, or ETL development.
• Strong proficiency in Python, SQL, and data transformation techniques.
• Hands-on experience with cloud data platforms and distributed processing.
• Understanding of relational databases, data warehousing, and data lake architecture.
• Experience with performance tuning, debugging, and production support.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.