Data Engineer - Enterprise ETL & Data Warehouse

Spatial Front, Inc; Crystal City (MO); Hybrid; USD 80,000 - 130,000; Full time

Job summary

Spatial Front, Inc. is seeking a Data Engineer to design, develop, and optimize enterprise ETL processes and analytical data warehouses supporting PeopleSoft HCM and related systems.

The role focuses on movement, transformation, quality, and organization of enterprise data for reporting and analytics. You will collaborate with BI developers, DBAs, application teams, and infrastructure personnel to deliver reliable data pipelines for Federal Government customers, with on-site/hybrid work in

Qualifications

• Must be a U.S. Citizen with an active Secret security clearance or be able to obtain one.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related field; equivalent relevant experience may be considered.
• 3+ years of hands-on data engineering, ETL development, data warehousing, database development, or related enterprise data experience.
• Strong hands-on experience designing, developing, troubleshooting, and supporting ETL processes in complex enterprise environments.
• Strong SQL skills and experience working with Oracle or comparable relational databases.
• Experience developing complex data transformations, joins, aggregations, lookups, data cleansing, validation, and reconciliation logic.
• Strong understanding of analytical data warehouse concepts including facts, dimensions, star schemas, snowflake schemas, data marts, surrogate keys, and slowly changing dimensions.
• Experience developing source-to-target mappings and translating business and technical requirements into data transformation and loading logic.
• Experience with batch processing, incremental loading, scheduling, dependencies, restart/recovery, error handling, and production support of ETL processes.
• Experience troubleshooting data-quality, ETL, SQL, performance, and data-integration issues through structured root-cause analysis.
• Understanding of database performance considerations including indexing, partitioning, query optimization, bulk processing, and large-volume data movement.
• Strong written and verbal communication skills and ability to collaborate effectively with BI, database, application, infrastructure, and business teams.

Responsibilities

• Design, develop, test, deploy, and maintain enterprise ETL and data integration processes supporting analytical data warehouses and reporting environments.
• Analyze existing ETL workflows and recommend opportunities to redesign, simplify, consolidate, optimize, or replace legacy data-processing logic.
• Develop batch and incremental data loads that extract data from operational systems, transform data according to business and technical rules, and load analytical warehouse structures.
• Develop and maintain transformation logic using SQL, PL/SQL, ETL development tools, scripting languages, or other appropriate data-engineering technologies.
• Design and support analytical data warehouse structures including fact tables, dimension tables, star schemas, snowflake schemas, data marts, and other dimensional models.
• Implement slowly changing dimensions, surrogate keys, historical tracking, aggregation, lookup, reference-data, and other common data warehouse patterns.
• Develop and maintain source-to-target mappings, transformation specifications, load rules, dependencies, and supporting technical documentation.
• Work with application and functional teams to understand source-system data structures, business rules, code values, relationships, and downstream analytical requirements.
• Build data-validation and reconciliation processes to confirm completeness, accuracy, consistency, and integrity between source systems, ETL processing, warehouse structures, and downstream reports.
• Troubleshoot failed ETL jobs, data-quality issues, transformation errors, duplicate or missing records, schema changes, and discrepancies between operational and analytical systems.
• Optimize ETL processing for performance, scalability, reliability, and maintainability, including SQL tuning, bulk-processing techniques, parallel execution, load sequencing, and efficient data movement.
• Work with DBAs to optimize database structures, indexes, partitions, statistics, materialized views, and other physical database components supporting warehouse performance.
• Develop restart, recovery, exception-handling, logging, audit, and monitoring capabilities for production ETL processes.
• Support scheduling and orchestration of ETL workflows, dependencies, batch jobs, and downstream reporting processes.
• Assess the impact of source-system changes, application upgrades, database changes, and business-rule changes on existing ETL and warehouse processes.
• Support modernization of legacy ETL technologies and data-processing patterns to more maintainable and supportable approaches.
• Participate in testing, defect resolution, data reconciliation, release, migration, and production-validation activities.
• Create and maintain technical documentation including ETL designs, source-to-target mappings, data models, job flows, transformation rules, deployment procedures, and operational support guidance.
• Collaborate with BI developers to ensure warehouse structures and data pipelines support required semantic models, reports, dashboards, and analytical use cases.
• Participate in Agile/SAFe activities including PI Planning, backlog refinement, iteration execution, demonstrations, testing, and release planning.

Skills

ETL development

Data warehousing

SQL

Oracle DB

PL/SQL

Dimensional modeling

Data quality

Problem solving

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, or related field

Tools

Informatica PowerCenter

Oracle Data Integrator (ODI)

ODI

Talend

SSIS

Ab Initio

Job description

Spatial Front, Inc. is seeking a Data Engineer to design, develop, and optimize enterprise ETL processes and analytical data warehouses supporting PeopleSoft HCM and related systems.

The role focuses on movement, transformation, quality, and organization of enterprise data for reporting and analytics. You will collaborate with BI developers, DBAs, application teams, and infrastructure personnel to deliver reliable data pipelines for Federal Government customers, with on-site/hybrid work in