Senior Data Engineer

Job Overview

We are seeking an experienced Data Engineer to design, build, and maintain scalable data infrastructure that supports analytics, machine learning, and business intelligence initiatives. The Data Engineer will work closely with data scientists, analysts, and software engineers to ensure reliable data pipelines and high-quality data availability across the organization.

The ideal candidate will have strong experience in data pipeline development, big data processing frameworks, and cloud-based data platforms. This role requires expertise in building robust ETL/ELT pipelines, optimizing data workflows, and managing large-scale datasets.

This position is fully remote within the United States and provides an opportunity to work on modern cloud-native data architectures and real-time data processing systems.

Key Responsibilities

Data Pipeline Development

• Design and implement scalable ETL/ELT pipelines to process structured and unstructured data.

• Develop automated workflows to ingest, transform, and deliver data across multiple systems.

• Ensure efficient and reliable data processing pipelines for large datasets.

Data Infrastructure & Architecture

• Build and maintain data lakes, data warehouses, and streaming pipelines.

• Optimize data storage and processing for performance and scalability.

• Manage schema design, data modeling, and metadata management.

Data Quality & Governance

• Implement processes for data validation, monitoring, and error handling.

• Ensure data consistency, integrity, and security across data platforms.

• Support governance and compliance requirements for enterprise data systems.

Collaboration & Analytics Support

• Work closely with data scientists, analysts, and BI teams to deliver clean datasets.

• Support machine learning workflows and advanced analytics initiatives.

• Assist teams in designing efficient data solutions to support business needs.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.

• 4+ years of experience in data engineering or big data development.

• Strong programming skills in Python, Scala, or Java.

• Experience designing data pipelines and ETL processes.

• Strong knowledge of SQL and database systems.

Core Technical Skills

• Apache Spark / Hadoop ecosystems

• Kafka or other streaming platforms

• Cloud data platforms (AWS, Azure, Google Cloud Platform)

• Snowflake, Databricks, or BigQuery

• ETL frameworks and workflow orchestration tools

• Data modeling and warehousing concepts

Preferred / Nice-to-Have Skills

• Experience with real-time data streaming systems

• Knowledge of data governance and security frameworks

• Experience supporting machine learning pipelines

• Familiarity with modern data stack tools

Work Environment

• Fully remote work environment across the United States

• Collaborative engineering culture with cross-functional teams

• Opportunity to work with large-scale data platforms and modern analytics systems