HRIT Data Engineer, Consultant

Nomura

. Develop and maintain global HR applications, primarily supporting the HR Analytics ecosystem .

Posted 11/9/2026full-timeJacksonville • Florida • United StatesMid-LevelSenior💰 $550 - $750 per dayWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining HR applications with a focus on data management, ETL processes, and data analytics. Proficient in utilizing advanced SQL, Python, and cloud technologies to support data-driven decision-making and stakeholder engagement.

Highest-signal resume keywords

Data ManagementETL ToolsAdvanced SQLPython ProgrammingData Warehouse Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData GovernanceData Quality AssuranceExploratory Data AnalysisDatabase DevelopmentData Ingestion ProcessesAI/ML ToolsCloud Data Lake TechnologiesCI/CD Pipeline ToolsSQL Scripting

Soft Skills

Problem-SolvingInterpersonal SkillsAnalytical Skills

Tools & Technologies

InformaticaMS SQL ServerOracleGitLabJenkinsConfluenceSharePointJIRADockerKubernetes

Industry Keywords

HR AnalyticsData IntegrationData LakeData WarehouseBusiness Intelligence

Tech Stack

Tools & technologies

AnsibleCloudDockerETLGradleInformaticaJenkinsKubernetesMavenMS SQL ServerOraclePythonSnowflakeSQLTerraform

About the role

Key responsibilities & impact

Develop and maintain global HR applications, primarily supporting the HR Analytics ecosystem
Manage and support HR business applications, including problem resolution and issue ownership
Design and develop ETL/ELT layers for HR data integration
Ensure data quality and consistency
Provide architecture solutions for data modeling, data warehousing, and data governance
Develop and maintain data ingestion processes using Informatica, Python, and related technologies
Support data analytics and data science initiatives with optimized data structures and AI/ML tools
Manage vendor products and integrations with internal and external applications
Gather requirements and translate functional needs into technical specifications
Perform QA testing and impact analysis across the BI ecosystem
Maintain system documentation and knowledge repositories
Provide technical guidance and manage stakeholder communications

Requirements

What you’ll need

6+ years of delivery and maintenance work experience in the Data and Analytics space
Strong hands-on experience with data management, data warehouse/data lake design, data modeling, ETL tools, advanced SQL, and Python programming
Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns and report key metrics
Extensive database development experience in MS SQL Server/Oracle and SQL scripting
Working knowledge of CI/CD pipeline tools, primarily GitLab and Jenkins
Proficiency with Confluence, SharePoint, and JIRA
Analytical skills to model business functions, processes, and dataflow within or between systems
Strong problem-solving skills to debug complex, time-critical production incidents
Interpersonal skills to engage with senior stakeholders in functional business units and IT teams
Experience with cloud data lake technologies such as Snowflake and knowledge of HR data models would be a plus
Exposure to AI and ML technologies and experience tuning models and building LLM integrations would be nice to have
Experience with DevOps technologies such as Jenkins, Maven/Gradle, Docker, Kubernetes, Terraform, Ansible, Helm, and Rancher would be nice to have

Benefits

Comp & perks

Sign-on bonus
Restricted stock units
Discretionary awards
Medical benefits
Financial benefits
Other benefits
401(k) eligibility
Paid vacation time
Paid sick time
Paid parental leave