Senior Software Engineer – Identity Resolution

Acxiom

. Design, develop, test, and maintain software supporting large-scale Identity Resolution and Entity Resolution platforms .

Posted 11/4/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing large-scale Identity Resolution and Entity Resolution systems, utilizing Java, Python, Scala, and Apache Spark. Proficient in cloud-native application development on AWS and implementing high-performance APIs and data-processing workflows.

Highest-signal resume keywords

Java Application DevelopmentPython Data ProcessingApache Spark WorkloadsAWS Cloud ServicesSQL Query Optimization

ATS Keywords

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Hard Skills

JavaPythonScalaApache SparkSQLDatabricksREST APIsMicroservicesAutomated TestingCI/CD

Soft Skills

Analytical SkillsTroubleshootingProblem-SolvingCommunicationCollaboration

Tools & Technologies

AWSDatabricksGitDistributed SystemsMonitoring Tools

Industry Keywords

Identity ResolutionEntity ResolutionData MatchingMaster Data ManagementCustomer 360

Tech Stack

Tools & technologies

ApacheAWSCloudDistributed SystemsJavaMicroservicesPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, develop, test, and maintain software supporting large-scale Identity Resolution and Entity Resolution platforms
Develop systems that match, link, consolidate, and resolve identities across multiple datasets and data sources
Implement real-time and batch identity-resolution workflows
Develop high-performance backend services and APIs using Java, Python, and Scala
Build and optimize low-latency APIs supporting real-time identity lookup and resolution
Develop large-scale distributed data-processing applications using Apache Spark
Build and maintain Spark workloads using Scala and Python
Develop complex SQL queries and data-processing logic for identity matching, analysis, and data transformation
Develop, optimize, and operate large-scale data-processing workloads with Databricks
Develop cloud-native applications and data-processing solutions using AWS
Translate solution designs and technical requirements into production-quality software with architects
Contribute to technical design discussions and recommend implementation approaches
Implement deterministic and probabilistic matching logic, fuzzy matching, data normalization, identity linking, and related capabilities
Optimize application code, Spark workloads, SQL queries, and data pipelines
Troubleshoot application, distributed-processing, data-quality, and production performance issues
Develop automated tests and validation processes for identity-matching accuracy and reliability
Build monitoring, logging, metrics, and observability into production applications and data-processing workloads
Participate in code reviews and establish software engineering practices
Mentor junior and mid-level engineers and provide technical guidance
Collaborate with architects, engineering, data, product, security, and other stakeholders
Stay current with technologies and practices related to Identity Resolution, distributed systems, cloud computing, and large-scale data processing

Requirements

What you’ll need

5+ years of professional software development experience, including experience developing and supporting production software systems
Strong proficiency in Java and enterprise application development
Strong proficiency in Python for application development, data processing, automation, or distributed workloads
Strong proficiency in Scala, particularly for large-scale data-processing applications
Strong hands-on experience with Apache Spark and distributed data processing
Advanced proficiency in SQL, including complex queries, data transformations, and query optimization
Experience developing production workloads using Databricks
Experience developing cloud-based applications and services using AWS
Experience with Identity Resolution, Entity Resolution, record linkage, data matching, or similar large-scale data-processing systems
Experience developing REST APIs, backend services, microservices, or distributed applications
Experience building and optimizing high-throughput, low-latency services and APIs
Strong understanding of distributed systems concepts, including concurrency, partitioning, caching, resiliency, scalability, and fault tolerance
Experience optimizing Spark workloads, including partitioning, joins, caching, memory utilization, and execution performance
Strong understanding of software engineering principles, object-oriented design, data structures, algorithms, and design patterns
Experience with automated testing, CI/CD, source control, and modern software delivery practices
Experience with Git and collaborative software development workflows
Strong analytical, troubleshooting, and problem-solving skills
Excellent written and verbal communication skills
Ability to independently own complex development tasks while collaborating effectively with architects and other engineering team members
Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent professional experience
Experience with or strong familiarity with Identity Resolution, Entity Resolution, Customer 360, Master Data Management, identity graph, record linkage, or similar matching systems

Benefits

Comp & perks

Equal opportunity employment, including disability and protected veteran status
Applications for remote work may be considered for applicants in Colorado, California, Connecticut, Massachusetts, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, Virginia, and Washington