Software Engineer (Java/Big Data)

Equifax, Inc.; Alpharetta (GA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Equifax, Inc. seeks creative Software Engineers to design, develop, and operate high-scale applications across the full engineering stack.

You will apply modern practices (serverless, microservices, CI/CD) and collaborate across teams to integrate systems, data pipelines, and security considerations. This is a direct-hire role based in Alpharetta, GA with a 4‑day in‑office schedule and Friday remote flexibility.

Qualifications

• Bachelor’s degree or equivalent experience.
• 5+ years of software engineering experience.
• 5+ years experience with Cloud technology: GCP, AWS, or Azure.
• 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes.
• Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments.
• Experience building and maintaining moderately‑complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects.
• Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance.
• Demonstrates advanced Git usage and CI/CD integration skills.

Responsibilities

• Design, develop, and operate high scale applications across the full engineering stack.
• Design, develop, test, deploy, maintain, and improve software.
• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)
• Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight‑knit, globally distributed engineering team.
• Stay up‑to‑date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
• Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.
• Implement security best practices in pipelines and infrastructure.
• Develop and implement data quality checks and troubleshoot data anomalies.

Skills

Java/SpringBoot

GCP/AWS/Azure

Kubernetes

CI/CD

Data pipelines

Data modeling

Git

Cloud concepts

Microservices

Education

Bachelor's degree or equivalent experience

Tools

GCP SDKs

GKE/Kubernetes

BigQuery

Dataflow

Pub/Sub

Airflow

Job description

Equifax is seeking creative, high-energy and driven Software Engineers with hands‑on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.

• We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in‑office collaboration (Monday–Thursday), paired with Friday Flexibility to wrap up your week remotely.
• This role reports to our office in Alpharetta, Georgia.
• This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
• This is a direct-hire role and is not open to C2C or vendors

What you’ll do

• Design, develop, and operate high scale applications across the full engineering stack.
• Design, develop, test, deploy, maintain, and improve software.
• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)
• Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight‑knit, globally distributed engineering team.
• Stay up‑to‑date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
• Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions.
• Implement security best practices in pipelines and infrastructure.
• Develop and implement data quality checks and troubleshoot data anomalies.

What experience you need

• Bachelor’s degree or equivalent experience
• 5+ years of software engineering experience
• 5+ years experience with Cloud technology: GCP, AWS, or Azure
• 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes
• Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
• Experience building and maintaining moderately‑complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
• Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance
• Demonstrates advanced Git usage and CI/CD integration skills

What could set you apart

• Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others
• Any AI Model Development Experience
• In‑depth, hands‑on experience with BigData tools such as Apache Spark or Apache Beam.
• Proven experience with Google Cloud Platform (GCP) services that include Dataflow, Dataproc, BigQuery, and Pub/Sub.
• Experience with workflow orchestration tools like Apache Airflow (or GCP's Cloud Composer).
• Solid understanding of data modeling, data warehousing, and ETL/ELT best practices.
• Background of Large Data Analysis and building AI ML Models would be a huge plus.
• Excellent problem‑solving skills and the ability to troubleshoot complex distributed systems.
• Effective communication and collaboration skills, with the ability to articulate technical concepts to both technical and non‑technical stakeholders

#LI-Hybrid !! #LI-KC1