Senior Software Engineer – Identity Resolution

acxiomllc; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Acxiom LLC is seeking a senior software engineer to build and support identity and entity resolution platforms across large datasets. You will work on batch and real-time pipelines, low-latency APIs, and Spark applications, collaborating with engineering, data, product, and security teams.

You will own complex components, review code, guide other engineers, and improve performance, logging, monitoring, and metrics to ensure reliable systems.

Qualifications

• 5+ years of professional software development experience.
• Strong Java, Python, and Scala skills with Spark and SQL experience.
• Experience with AWS and Databricks for cloud-based data processing.
• Familiarity with identity or entity resolution, customer data consolidation, record linkage, or related matching systems.

Responsibilities

• Design, implement, test, and maintain identity and entity resolution platforms and services.
• Develop batch and real-time workflows, including low-latency APIs and large-scale Spark applications.
• Create matching and record-linkage capabilities using normalization, fuzzy comparisons, confidence scoring, and identity consolidation.
• Improve performance and reliability across application code, SQL, data pipelines, and distributed workloads; investigate production issues.
• Add automated validation, monitoring, logging, and metrics to support accurate and dependable systems.
• Contribute to technical design and code reviews, guide other engineers, and coordinate implementation with partner teams.

Skills

Java

Python

Scala

Apache Spark

SQL

AWS

Databricks

Identity resolution

Data processing

Distributed systems

Education

Bachelor's degree or higher

Tools

Databricks

AWS

Job description

Role overview

Build and support software for systems that identify, match, and link records across large, varied datasets. The work spans distributed batch processing and fast backend services for real-time identity lookups, with close collaboration across engineering, architecture, data, product, and security teams.

Responsibilities

• Design, implement, test, and maintain identity and entity resolution platforms and services.
• Develop batch and real-time workflows, including low-latency APIs and large-scale Spark applications.
• Create matching and record-linkage capabilities using normalization, fuzzy comparisons, confidence scoring, and identity consolidation.
• Improve performance and reliability across application code, SQL, data pipelines, and distributed workloads; investigate production issues.
• Add automated validation, monitoring, logging, and metrics to support accurate and dependable systems.
• Contribute to technical design and code reviews, guide other engineers, and coordinate implementation with partner teams.

Requirements

• At least five years of professional software development experience, including production systems.
• Strong Java, Python, and Scala skills, along with hands-on Apache Spark and SQL experience.
• Practical experience with AWS and Databricks for cloud-based data processing.
• Familiarity with identity or entity resolution, customer data consolidation, record linkage, or related matching systems.
• Ability to own complex work and collaborate with technical and product stakeholders; a relevant degree or equivalent experience.

Nice to have

• Experience building identity graphs or deterministic and probabilistic matching systems.
• Background with streaming architectures, graph data, containers, infrastructure as code, or observability tools.
• Experience handling large consumer, marketing, financial, advertising, or customer datasets.