Data Engineer

Overview

Remote
90,000 - 100,000
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

Amazon Web Services
Data Governance
Data Quality
Data Security
Computer Science
Continuous Delivery
Continuous Integration
Apache Kafka
Apache Spark
Big Data
Google Cloud Platform
Management
Microsoft Azure
ELT
Extract, Transform, Load
Git
Good Clinical Practice
Cloud Computing
Data Warehouse
Databricks

Job Details

Data Engineer

Location: Remote

Visa: OPT

Role Overview

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and platforms. The ideal candidate will work closely with data analysts, data scientists, and business teams to deliver reliable, high-quality data solutions.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT data pipelines for structured and unstructured data

  • Build and manage data workflows using Azure Data Factory / AWS Glue / Airflow

  • Develop and optimize data models, schemas, and transformations

  • Work with Databricks / Spark for large-scale data processing

  • Ensure data quality, reliability, and performance optimization

  • Implement data security, governance, and access controls

  • Collaborate with cross-functional teams to understand data requirements

  • Monitor, troubleshoot, and enhance existing data pipelines

Required Skills & Experience

  • 5–6+ years of experience as a Data Engineer

  • Strong experience in SQL and Python

  • Hands-on experience with cloud data platforms (Azure / AWS / Google Cloud Platform)

  • Experience with data warehousing (Azure Synapse, Redshift, BigQuery, Snowflake)

  • Knowledge of big data technologies (Spark, Databricks)

  • Experience with CI/CD, version control (Git)

  • Understanding of data governance, security, and compliance

Preferred / Nice to Have

  • Experience with streaming data (Kafka, Event Hub, Kinesis)

  • Exposure to Power BI / Tableau / reporting tools

  • Knowledge of DevOps practices for data pipelines

  • Cloud certifications (Azure / AWS – preferred)

Education

  • Bachelor’s degree in Computer Science, Engineering, or related field

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Intellect Quest LLC