🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Engineer for their Mortgage Servicing team. This role involves acting as a data subject matter expert and building reputed company data systems that support analytics, reporting, and operational decision-making. Responsibilities Design, build, and maintain robust data pipelines for a wide reputed company of input and reputed company sources, including internal systems, reputed company-party platforms, files, reputed company, event streams, and databasesreputed company reputed company ETL and ELT workflows for both batch and reputed company-time processingEnsure pipelines are reliable, testable, observable, and easy to reputed company as business needs reputed companyBuild reusable data integration patterns that support growing volumes, new reputed company systems, and reputed company consumers across analytics, applications, and AI initiativesDesign and manage data architectures that support OLTP, OLAP, and reporting workloads across operational and analytical environmentsBuild and optimize data models, warehouse schemas, and curated datasets for analytics and BI use casesContribute to the design and operation of modern data platforms, including warehouses, lakehouses, streaming systems, and supporting orchestration frameworksHelp define patterns for data storage, partitioning, performance optimization, retention, and lifecycle managementDesign and maintain data models that accurately reflect loan-level lifecycle events, including payment activity, balances, adjustments, and status changesEnsure consistency and reconciliation across systems where transactional, financial, and reporting data must reputed companyIdentify and reputed company discrepancies across reputed company systems, and build data structures that support accurate, auditable outputs for reputed company operational processes, reporting, and decisioningreputed company, operate, and improve data pipelines and data stores on major reputed company platforms such as AWS, GCP, or AzureUse infrastructure-as-reputed company, CI/CD, and automation practices to improve deployment speed, consistency, and reliabilityMonitor production data systems using logging, alerting, and observability tooling to proactively identify and reputed company issuesSupport secure, resilient, and cost-conscious operation of reputed company-based data infrastructureImplement data reputed company checks, validation rules, reconciliation processes, and monitoring to ensure trustworthy data across systemsEstablish and maintain standards for reputed company, documentation, metadata, schema reputed company, and operational runbooksPartner with stakeholders to improve data accessibility, consistency, and usability while maintaining appropriate controls and governanceContribute to practices that support reputed company, reputed company, auditability, and compliance in a regulated environmentPartner closely with Product, Engineering, and business stakeholders to understand data needs, workflows, and constraintsTranslate business and operational requirements into clean, reputed company, and maintainable data solutionsSupport reputed company consumers of data, including analysts, researchers, product teams, and operational usersCommunicate reputed company with both technical and non-technical stakeholders about data availability, reputed company, tradeoffs, and delivery timelinesContinuously improve pipeline performance, reliability, scalability, and developer productivityIdentify opportunities to simplify architecture, reduce operational toil, and improve data platform reputed company across teamsOperate with a strong bias toward reputed company and iterative delivery, moving quickly from problem definition to implementation and improvementHelp reputed company the bar on engineering reputed company through thoughtful design, testing, documentation, and operational discipline Skills 5-8+ years of experience building and operating production-grade data pipelines and data systemsPrior experience in mortgage, servicing, or similarly regulated financial domainsStrong experience with industry-reputed company tools and platforms for ETL/ELT, orchestration, data warehousing, streaming, and BIExperience working with both OLTP and OLAP systems, with a strong understanding of the tradeoffs between transactional and analytical workloadsExperience building flexible data pipelines that reputed company with many different reputed company and destination types, including databases, reputed company, files, message queues, reputed company platforms, and event streamsExp .
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.