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Software Engineer (Java/Big Data)

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Onsite

Software Engineer (Java/Big Data)

Equifax

Software Engineer (Java/Big Data)

Skills

Google Cloud PlatformBig DataJavaMicroservicesSpring BootGoogle BigQueryData AnalysisMachine LearningAIAWSKubernetesApache AirflowAzure

19 days ago

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Important information


Contract type:

Permanent

Location:

Alpharetta, GA, USA

Work mode:

Onsite

Published on:

2 October 2026

What they need


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

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