Data Engineer

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.
• Solid understanding of relational (SQL) and NoSQL databases.
• Experience with cloud data platforms (AWS Redshift, Google BigQuery, Azure Synapse).
• Familiarity with CI/CD and DevOps practices for data engineering.
• Strong analytical and problem-solving skills.

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.
• Monitor, troubleshoot, and improve data pipeline performance.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Work with cloud platforms (AWS, GCP, Azure) to manage large-scale data processing.
• Automate data ingestion, transformation, and validation tasks.

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

Location: Remote (U.S. Only)
Job Type: Full-time

Job Summary:

We are seeking a talented Data Engineer to build and optimize scalable data pipelines and infrastructure. This role is 100% remote, but applicants must be based in the U.S. You will work closely with data scientists, analysts, and software engineers to ensure seamless data integration and support business intelligence efforts.

Key Responsibilities:

• Develop, optimize, and maintain data pipelines and ETL processes.
• Design and manage scalable data storage solutions, including data lakes and warehouses.
• Implement data governance, security, and compliance best practices.
• Monitor, troubleshoot, and improve data pipeline performance.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Work with cloud platforms (AWS, GCP, Azure) to manage large-scale data processing.
• Automate data ingestion, transformation, and validation tasks.

Required Qualifications:

• Bachelor's or Masters degree in Computer Science, Data Engineering, or a related field.
• Strong proficiency in SQL, Python, or Scala.
• Hands-on experience with Apache Spark, Hadoop, or Airflow.
• Solid understanding of relational (SQL) and NoSQL databases.
• Experience with cloud data platforms (AWS Redshift, Google BigQuery, Azure Synapse).
• Familiarity with CI/CD and DevOps practices for data engineering.
• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Experience with real-time data streaming technologies (Kafka, Flink).
• Knowledge of machine learning pipelines.
• Understanding of data privacy regulations (GDPR, CCPA).
• Competitive salary and performance-based bonuses.
• Flexible work hours with a fully remote setup.
• Health, dental, and vision insurance.
• 401(k) with company matching.
• Generous paid time off and parental leave.