Data Engineer

GoodwinRecruiting; Atlanta (GA); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Hybrid or remote work options

Job summary

GoodwinRecruiting is expanding a hands-on data engineering team to evolve a scalable data infrastructure. The role is based in Atlanta, GA (hybrid) with remote options for Eastern/Central Time.

Lead data platform evolution, focusing on performance, scalable architectures, and reliable analytics via robust data pipelines and search capabilities. Requires 6+ years in data engineering and strong PostgreSQL/SQL skills, with expertise in data warehouses and OpenSearch.

Qualifications

• 6+ years of data engineering or backend development experience.
• Advanced PostgreSQL, including schema design, indexing, partitioning, and performance tuning.
• Strong SQL skills for transactional and analytical workloads.
• Experience designing and implementing data warehouses.
• Hands-on experience with OpenSearch or equivalent search technologies.
• Proven ability to build and maintain ETL/ELT pipelines.
• Experience managing large, complex datasets.
• Programming experience, with willingness to work in JavaScript/TypeScript.
• Experience leveraging AI-assisted tools for data engineering workflows.

Responsibilities

• Drive the evolution of a rapidly growing data infrastructure.
• Perform hands-on technical work across database optimization, data architecture, and scalable analytics solutions.

Skills

Advanced PostgreSQL

SQL

OpenSearch

Data architecture

Data pipelines

ETL/ELT pipelines

JavaScript

TypeScript

AI-assisted tools

Database optimization

Tools

PostgreSQL

OpenSearch

JavaScript

TypeScript

Job description

GoodwinRecruiting is expanding a hands-on data engineering team to help evolve a rapidly growing data infrastructure at massive scale. This role supports systems managing hundreds of millions to billions of records, with a strong emphasis on database optimization, data architecture, and scalable analytics solutions. The position is based in Atlanta, GA (hybrid), with flexibility for remote work for candidates in Eastern/Central Time.

Role overview

In this Data Engineering role, you will lead the evolution of the company’s data platform while staying close to the technical work. The focus is on improving performance, designing scalable structures, and enabling reliable analytics through well-built data pipelines and search capabilities.

Responsibilities

• Drive the evolution of a rapidly growing data infrastructure supporting hundreds of millions to billions of records
• Perform hands-on technical work across database optimization, data architecture, and scalable analytics solutions

Requirements

• 6+ years of data engineering or backend development experience
• Advanced PostgreSQL expertise, including schema design, indexing, partitioning, and performance tuning
• Strong SQL skills for both transactional and analytical workloads
• Experience designing and implementing data warehouses
• Hands-on experience with OpenSearch or equivalent search technologies
• Proven ability to build and maintain ETL/ELT pipelines
• Experience managing large, complex datasets
• Programming experience, with willingness to work in JavaScript/TypeScript
• Experience leveraging AI-assisted tools for data engineering workflows

Technologies

• PostgreSQL
• SQL
• OpenSearch
• JavaScript
• TypeScript

Preferred background & skills

• Experience scaling systems to hundreds of millions or billions of records
• Experience migrating analytical workloads away from production databases
• Experience with data quality, observability, and anomaly detection tools
• Experience in high-volume consumer platforms, marketplaces, or e-commerce environments
• Strong architectural decision-making and technical leadership

Compensation & work setup

Salary: USD 140,000 - 160,000 per year. Location: Atlanta, GA (hybrid), with remote options preferred for Eastern/Central Time.

Benefits

• Competitive compensation based on experience
• Hybrid or remote work flexibility
• Opportunity to influence enterprise-level data architecture
• High-growth, technology-driven environment
• Collaborative engineering team with significant technical ownership

Minimum experience: 6 years.