Remote Data Engineer: Build Scalable Cloud Pipelines

SpaceCoast AV Consultants; Town of Florida (NY); Remote; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) with company matching

Generous paid time off and parental leave

Flexible work hours

Job summary

A leading technology firm is seeking a talented Data Engineer to build and optimize scalable data pipelines and infrastructure. This role is fully remote, requiring applicants to be based in the U.S. Responsibilities include developing ETL processes, designing data storage solutions, and collaborating with teams to support data-driven decisions. The ideal candidate holds a Bachelor's or Master's degree in Computer Science or related field and is proficient in SQL, Python, and cloud data platforms.

Qualifications

• Hands-on experience with data pipeline development and ETL processes.
• Strong analytical and problem-solving skills are necessary.
• Familiarity with data privacy regulations like GDPR and CCPA.

Responsibilities

• Develop, optimize, and maintain data pipelines and ETL processes.
• Design scalable data storage solutions like data lakes and warehouses.
• Collaborate with cross-functional teams for data-driven decision-making.

Skills

SQL

Python

Scala

Apache Spark

Hadoop

Airflow

Cloud data platforms

CI/CD

DevOps practices

Education

Bachelor's or Master's degree in Computer Science

Degree in Data Engineering or related field

Tools

AWS Redshift

Google BigQuery

Azure Synapse

Kafka

Flink

Job description

A leading technology firm is seeking a talented Data Engineer to build and optimize scalable data pipelines and infrastructure. This role is fully remote, requiring applicants to be based in the U.S. Responsibilities include developing ETL processes, designing data storage solutions, and collaborating with teams to support data-driven decisions. The ideal candidate holds a Bachelor's or Master's degree in Computer Science or related field and is proficient in SQL, Python, and cloud data platforms.