Mid Software Engineer

Serasa Experian

4d

About The Position

Experian Marketing Services is seeking a Mid Software Engineer to join their global engineering team. This role will focus on building the next generation of large-scale systems for their Graph products. The engineer will contribute to the architecture, design, and development of high-performance software solutions that process data at petabyte scale, utilizing technologies like Scala, cloud-native platforms, machine learning, and distributed data processing frameworks. Collaboration with Engineering, Product, and Data Science teams is key to delivering reliable, scalable, and secure solutions while prioritizing consumer privacy and data protection.

Requirements

• Professional software engineering experience with consistent hands-on coding contributions.
• Strong understanding of algorithms, data structures, and software engineering fundamentals.
• Experience developing applications using Scala, Java, or Python.
• Experience working with high-scale distributed systems, including real-time and batch processing environments.
• Interest and experience in data engineering, including data ingestion, ETL development, and large-scale data processing.
• Ability to contribute to the architecture and technical design of complex software solutions.
• Strong problem-solving and analytical skills with a focus on delivering scalable and reliable systems.
• Excellent collaboration and communication skills, with the ability to work effectively in cross-functional and global teams.
• Passion for engineering excellence, including providing meaningful code reviews and constructive technical feedback.
• Availability to work and collaborate with teams operating in the Eastern Time Zone.
• Commitment to building secure, privacy-first, and high-quality software solutions.

Nice To Haves

• Experience with cloud platforms such as Google Cloud Platform (GCP) or AWS.
• Experience with Scala and related ecosystem tools such as sbt, Cats, http4s, and FS2.
• Knowledge of Java and Python development environments.
• Experience with workflow orchestration and cloud-native technologies, including Airflow and Kubernetes.
• Hands-on experience with large-scale data processing frameworks such as Google Dataflow, Apache Beam, Spark, SQL, BigQuery, or similar data warehouse technologies.
• Exposure to machine learning-driven products or data-intensive applications.
• Experience working in large-scale distributed environments with complex data processing requirements.
• Previous experience supporting production systems through on-call rotations and operational excellence practices.

Responsibilities

• Contribute to the architecture, design, development, and implementation of EMS systems and Graph products.
• Partner with Technical Leads and engineering teams to design, execute, and successfully deliver complex technical initiatives.
• Develop and maintain scalable software solutions capable of processing large-scale real-time and batch data workloads.
• Collaborate with Product, Engineering, and Data Science teams to build innovative, high-quality products and services.
• Support the development of data ingestion engines, ETL pipelines, and data platforms that enable scalable data consumption.
• Participate in code reviews, promoting engineering excellence, maintainability, and knowledge sharing across the team.
• Troubleshoot technical issues and contribute to performance, reliability, and operational improvements.
• Participate in on-call rotations as required, supporting critical systems and ensuring service availability.
• Contribute to a collaborative engineering culture by mentoring peers and sharing technical knowledge.
• Ensure solutions are built with a strong focus on data security, privacy, and engineering best practices.

Benefits

• Experian invests in people and in advanced new technologies
• Experian’s people-centric, inclusive, and purpose-driven culture has been recognized with several awards — including World’s Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others.
• Experian is also proud to be an equal opportunity and affirmative action employer.
• We promote several initiatives to support inclusive recruitment and the professional development of our people.
• We also have our affinity groups, created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed