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Job Title: Data Engineer (W2) Location: 5949 Sherry Lane, Suite 1700, Dallas, TX - 75225 Duration: 6 months (Possibility of extension/conversion) Only US Citizen or Green Card holder who can work on W2 can apply Recent Mortgage or loan analytics experience is must Job Description/Requirements: 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. Key Responsibilities: Design, build, and maintain cloud-native data pipelines and datalake 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 dataset 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: BA / BS or equivalent Notes: Focus on Engineering 100% over Project Manager (very little Project Management if any)-clear demonstrated Mortgage loan analytics exp Python, SQL-Snowflake a must. Take several years of data and look at process flow confirm and tie out at end of system Dive into data models and technologies how data is being transformed and all info flowing and ties out accurately More focused on is the “data is right” more than data migration skills Key non negotiable: Recent mortgage data science/analytics exp! Mohini Gupta Sr Recruiter at Hornet Staffing, a GEE Group Company Phone. (770) 375-2010 Email. mohini.gupta@hornetstaffing.com
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.