Data Engineer

intelycore; United States; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary and benefits

Collaborative and innovative work environment

Opportunities for professional growth and learning

Work with cutting-edge data engineering technologies

Job summary

A data engineering firm is seeking a skilled Data Engineer to design and maintain scalable data pipelines. This role involves transforming raw data into actionable insights and collaborating with data experts to ensure data integrity across systems. The ideal candidate will possess strong SQL and programming skills, knowledge of big data technologies, and relevant educational qualifications. Competitive salary and professional growth opportunities are available.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field.
• Strong experience in SQL, Python, Scala, or Java for data processing.
• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or Flink.

Responsibilities

• Develop, test, and maintain scalable ETL pipelines for processing large datasets.
• Design and optimize data warehouses and real-time streaming systems.
• Collaborate with Data Scientists and Analysts to ensure data availability.

Skills

SQL

Python

Scala

Java

Hadoop

Spark

Kafka

AWS

GCP

Azure

Education

Bachelor’s/Master’s degree in Computer Science or Data Engineering

Tools

PostgreSQL

MySQL

NoSQL

Snowflake

Redshift

BigQuery

Docker

Kubernetes

Airflow

Prefect

Dagster

Job description

About the Role

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will play a key role in transforming raw data into actionable insights, ensuring seamless data flow and integration across various systems.

Key Responsibilities

• Develop, test, and maintain scalable ETL pipelines for processing large datasets.
• Design and optimize data warehouses, data lakes, and real-time streaming systems.
• Collaborate with Data Scientists, AI/ML Engineers, and Analysts to ensure data availability and integrity.
• Work with structured and unstructured data across various sources and formats.
• Implement best practices for data governance, security, and compliance.
• Monitor, troubleshoot, and improve data pipelines for performance and reliability.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a related field.
• Strong experience with SQL, Python, Scala, or Java for data processing.
• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, or Flink.
• Proficiency in cloud platforms (AWS, GCP, Azure) for data engineering solutions.
• Experience with database management (PostgreSQL, MySQL, NoSQL, Snowflake, Redshift, or BigQuery).
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and workflow orchestration (Airflow, Prefect, Dagster) is a plus.

Why Join Us?

Work with cutting-edge data engineering technologies.
Competitive salary & benefits.
Collaborative and innovative work environment.
Opportunities for professional growth and learning.

Interested? Apply now and help us build the future of data-driven solutions!