Highlights

Skills: Demonstrated experience in solving complex data problems with strong proficiency in: 5+ years of advanced SQL experience with common table expressions (CTEs), complex window functions, conditional logic, joins, aggregations etc. Key responsibilities: Design, build, and maintain cloud-native data pipelines and data lake architectures (Snowflake) to support ABF investment and portfolio analytics.

Numbers & Facts

LocationDallas, TX

Description

DPP is seeking a Data Engineer for an opportunity with our client, a leading global investment firm.
 
Work location: Onsite in Dallas, TX
Duration: 6 months
Terms: W2 contract
 
Position description:
  • The Data Engineer will support the technical execution of a large-scale system migration.
  • This role will focus on the data engineering side to build out infrastructure and support other efforts as needed such as project coordination, data validation, and stakeholder alignment.
  • A successful candidate must have recent relevant mortgage data experience. 
Key responsibilities:
  • Design, build, and maintain cloud-native data pipelines and data lake architectures (Snowflake) to support ABF investment and portfolio analytics
  • Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from structured and unstructured sources
  • Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks
  • Support the migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment
  • Contribute to light project management activities, including:
    • Breaking down work into Epics/User Stories (Jira)
    • Supporting project planning, timelines, and coordination across teams
    • Assisting with testing, cutover planning, and go-live readiness 
Skills:
  • Demonstrated experience in solving complex data problems with strong proficiency in:
    • 5+ years of advanced SQL experience with common table expressions (CTEs), complex window functions, conditional logic, joins, aggregations etc.
    • Data cleaning, de-duplication, reconciliation, etc.
    • 5+ years of professional Python development to process complex datasets efficiently, process automations using Polars, Pandas or equivalent
  • Demonstrated experience in data engineering, including building, maintaining, and optimizing data pipelines and workflow
  • Industry expertise in ABF and mortgage servicing – settlements, remittances/cash consolidation, servicing workflows, etc.
  • Good communication skills and change management abilities – align stakeholders and ensure operational readiness of new platform
  • Product/Program Management – experience leading a full lifecycle project including driving requirements, design, build, testing, cutover planning, and go-live execution
Education:
  • Bachelor’s degree or equivalent 
Authorized US Worker - US Citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor at this time. 

Interested? Learn more:
Click the apply button or contact our recruiter Harrison at Harrison.Donahue@dppit.com to learn more about this position (#26-00728).
 DP Professionals (DPP) offers a range of compensation and benefits packages to our employees and their eligible dependents. DPP is a certified Woman-owned Small Business Enterprise (WBE and WOSB) with more than 25 years in the staffing industry. EOE/AA/V/D

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