Big Data Engineer- Professional Services

Remote; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

BrightEdge, a leading SEO and content performance platform, is seeking a Big Data Engineer to design and maintain high-performance data pipelines.

You will optimize batch processing, tackle latency bottlenecks, build robust ETL workflows, and collaborate with data scientists to scale our data infrastructure.

The role requires 4+ years in data engineering, Python expertise, and hands-on Spark/Hadoop, Airflow, and SQL/NoSQL experience.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 4+ years of experience in data engineering roles.
• Strong Python programming skills for data processing.
• Experience with Spark, Hadoop, and big data technologies.
• Proven experience optimizing database performance (SQL/NoSQL).
• Knowledge of data pipeline orchestration tools (Airflow, Luigi).
• Understanding of performance optimization techniques and profiling tools.

Responsibilities

• Design scalable batch processing systems using Python and big data technologies.
• Optimize database performance, focusing on slow queries and latency improvements.
• Use Python profilers and performance monitoring tools to identify bottlenecks.
• Reduce P95 and P99 latency across the data platform.
• Build efficient ETL pipelines that handle large-scale data processing.
• Collaborate with data scientists and product teams to understand data requirements.
• Monitor and troubleshoot data pipeline issues in production.
• Implement data quality checks and validation mechanisms.
• Document data architecture and engineering processes.
• Stay current with emerging big data technologies and best practices.

Skills

Python

Spark

Hadoop

SQL

NoSQL

Airflow

Profiling

ETL

Data pipelines

Education

Bachelor's degree

Master's degree

Tools

Airflow

Luigi

Kubernetes

Docker

Job description

About Us

BrightEdge is a leading SEO and content performance marketing platform that transforms online content into tangible business results. Our platform processes massive amounts of data to provide actionable insights to our clients. We're looking for a talented Big Data Engineer to join our Professional Services to help us scale and optimize our data processing capabilities.

Role Overview

As a Big Data Engineer at BrightEdge, you will design, build, and maintain high-performance data pipelines that process terabytes of data. You'll work on optimizing our existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform. This role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards.

Key Responsibilities

• Design and implement scalable batch processing systems using Python and big data technologies

• Optimize database performance, focusing on slow-running queries and latency improvements

• Use Python profilers and performance monitoring tools to identify bottlenecks

• Reduce P95 and P99 latency metrics across our data platform

• Build efficient ETL pipelines that can handle large-scale data processing

• Collaborate with data scientists and product teams to understand data requirements

• Monitor and troubleshoot data pipeline issues in production

• Implement data quality checks and validation mechanisms

• Document data architecture and engineering processes

• Stay current with emerging big data technologies and best practices

Qualifications

• Required

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

• 4+ years of experience in data engineering roles

• Strong Python programming skills with focus on data processing libraries

• Experience with big data technologies (Spark, Hadoop, etc.)

• Proven experience optimizing database performance (SQL or NoSQL)

• Knowledge of data pipeline orchestration tools (Airflow, Luigi, etc.)

• Understanding of performance optimization techniques and profiling tool

Preferred

• Master's degree in Computer Science or related field

• Experience with SEO data or web crawling systems

• Experience with Clickhouse Database

• Knowledge of distributed systems and microservices architecture

• Familiarity with container orchestration (Kubernetes, Docker)

• Experience with real-time data processing

• Contributions to open-source projects

• Experience with machine learning operations