HCM Data Migration Middleware Developer

CACI International
$75,200 - $158,100Remote

About The Position

CACI is seeking a HCM Data Migration Middleware Developer to support a major federal human capital management modernization program implementing Oracle Fusion Cloud HCM across numerous civilian agencies. This role designs, builds, and maintains the middleware and ETL pipelines required to transform legacy HR data into Oracle Fusion HCM Data Loader (HDL) and HCM Spreadsheet Data Loader (HSDL) formats. The developer will support migrations for agency populations ranging from ~10,000 to several hundred thousand employees, ensuring scalable pipelines, thorough cleansing, high-quality data transformations, and accurate reconciliation. Work is performed independently with limited supervision on assignments of moderate complexity. This is a remote position with up to 10% travel.

Requirements

  • Must be able to obtain and maintain a Public Trust clearance (US Citizenship required)
  • Bachelor’s degree and 5 years of relevant experience (additional experience may substitute for degree)
  • 5+ years of enterprise ETL, middleware development, or data integration experience
  • 3+ years hands-on experience with OIC, Informatica PowerCenter/Cloud, Talend, or similar platforms
  • Strong SQL proficiency including complex transformations, validation queries, and reconciliation logic
  • Experience with large-volume batch processing (100,000+ records) and related performance optimization
  • Knowledge of data quality management: profiling, cleansing, standardization, and validation
  • Experience with file-based integration formats (CSV, XML, JSON) and enterprise loading specifications
  • Familiarity with Agile/SAFe methodologies

Nice To Haves

  • 6+ years ETL/middleware development experience supporting HCM or ERP data migration projects
  • Oracle Integration Cloud (OIC) certification or strong proficiency with OIC adapters and orchestrations
  • Hands-on experience with Oracle Fusion HDL and HSDL file specifications
  • Informatica or Talend certification
  • Experience with federal HR data standards (e.g., EHRI)
  • Knowledge of Oracle Fusion HCM business objects and REST API models
  • Experience developing data quality dashboards with Oracle Analytics Cloud, Power BI, or similar tools
  • Experience with Oracle Cloud technologies (OIC, OCI) supporting enterprise HCM/ERP environments

Responsibilities

  • Design and develop ETL pipelines using Oracle Integration Cloud (OIC), Informatica, Talend, or equivalent tools
  • Create transformation rules mapping legacy HR values to Oracle Fusion HCM reference data, value sets, and lookups
  • Build data cleansing pipelines to resolve missing fields, invalid formats, duplicate data, and referential integrity issues
  • Implement scalable batch-processing frameworks with configurable parallelism and restart/recovery capabilities
  • Develop comprehensive error handling including categorization, automated retries, and reporting dashboards
  • Build reconciliation processes comparing record counts, key field values, and business rule validations across data stages
  • Maintain data quality dashboards showing pipeline status, error rates, completeness, and reconciliation metrics
  • Design reusable transformation templates and parameterized mappings for repeatable agency migration cycles
  • Partner with PeopleSoft/EBS legacy export teams to define extraction formats and interface specifications
  • Support iterative mock migrations and final cutover loads, resolving data quality findings in each cycle
  • Document ETL designs, transformation rules, data flows, and runbooks following SAFe Agile standards
  • Independently resolve functional and technical issues of moderate scope and contribute to team knowledge bases
  • Communicate progress, technical approaches, and issue resolution to stakeholders and Agile Release Train partners

Benefits

  • healthcare
  • wellness
  • financial
  • retirement
  • family support
  • continuing education
  • time off benefits
  • flexible time off
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