{"schemaVersion":"jobsearcher.job.v1","id":"2098d996bdc7363983ab458b","url":"https://jobsearcher.com/jobs/2098d996bdc7363983ab458b","canonicalUrl":"https://jobsearcher.com/jobs/2098d996bdc7363983ab458b","title":"Data Engineer","description":"Job Title: Senior Data EngineerLocation: Remote (Preference for Hybrid in McLean, VA)Contract Type: Long-Term ContractOpenings: 2Experience Level: 4–5+ YearsIndustry Domain: Banking & Financial Services / Big 4 ConsultingOverviewWe are seeking two experienced Data Engineers to join a long-term consulting engagement supporting a major banking institution through a high-profile, large-scale merger integration. You will design, build, and optimize enterprise data pipelines to reconcile, migrate, and harmonize financial data across disparate legacy and modern platforms.Key ResponsibilitiesArchitect and implement robust batch and streaming ETL/ELT pipelines using PySpark and Databricks to handle large-scale financial datasets. Design, build, and optimize data warehouse models and storage layers in Snowflake. Lead data integration, transformation, and migration efforts to consolidate core banking and entity relationship data (ERM/CDM frameworks). Perform data validation, reconciliation, and audit trail implementations to ensure regulatory compliance and data integrity throughout the merger. Partner with enterprise architecture, consulting leads, and client engineering teams to automate pipelines, troubleshoot bottlenecks, and improve query performance. Technical QualificationsCore Experience: 4–5+ years of dedicated data engineering experience, preferably within financial services, banking, or enterprise consulting environments. Data Processing & Analytics: Strong proficiency in PySpark, Apache Spark, and Databricks for large-scale data transformation. Data Warehousing: Hands-on expertise building schemas, optimizing queries, and managing workloads in Snowflake. Data Modeling: Solid understanding of ERM (Entity Relationship Management / Enterprise Reference Data), relational data modeling, and data migration strategies. Languages & Scripting: Advanced Python and SQL. Cloud & DevOps: Familiarity with AWS or Azure cloud environments, version control (Git), and CI/CD deployment workflows. Logistics & Work ArrangementLocation: Remote-friendly. Strong preference for candidates willing to work a hybrid schedule on-site at the client’s McLean, VA office. Contract Duration: Long-term engagement (multi-year program scope).","company":"Tential Solutions","rawCompany":"tential solutions","city":"Conroe","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-08T07:53:03.656Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Job Title: Senior Data EngineerLocation: Remote (Preference for Hybrid in McLean, VA)Contract Type: Long-Term ContractOpenings: 2Experience Level: 4–5+ YearsIndustry Domain: Banking & Financial Services / Big 4 ConsultingOverviewWe are seeking two experienced Data Engineers to join a long-term consulting engagement supporting a major banking institution through a high-profile, large-scale merger integration. You will design, build, and optimize enterprise data pipelines to reconcile, migrate, and harmonize financial data across disparate legacy and modern platforms.Key ResponsibilitiesArchitect and implement robust batch and streaming ETL/ELT pipelines using PySpark and Databricks to handle large-scale financial datasets. Design, build, and optimize data warehouse models and storage layers in Snowflake. Lead data integration, transformation, and migration efforts to consolidate core banking and entity relationship data (ERM/CDM frameworks). Perform data validation, reconciliation, and audit trail implementations to ensure regulatory compliance and data integrity throughout the merger. Partner with enterprise architecture, consulting leads, and client engineering teams to automate pipelines, troubleshoot bottlenecks, and improve query performance. Technical QualificationsCore Experience: 4–5+ years of dedicated data engineering experience, preferably within financial services, banking, or enterprise consulting environments. Data Processing & Analytics: Strong proficiency in PySpark, Apache Spark, and Databricks for large-scale data transformation. Data Warehousing: Hands-on expertise building schemas, optimizing queries, and managing workloads in Snowflake. Data Modeling: Solid understanding of ERM (Entity Relationship Management / Enterprise Reference Data), relational data modeling, and data migration strategies. Languages & Scripting: Advanced Python and SQL. Cloud & DevOps: Familiarity with AWS or Azure cloud environments, version control (Git), and CI/CD deployment workflows. Logistics & Work ArrangementLocation: Remote-friendly. Strong preference for candidates willing to work a hybrid schedule on-site at the client’s McLean, VA office. Contract Duration: Long-term engagement (multi-year program scope).","datePosted":"2026-10-08T07:53:03.656Z","dateModified":"2026-10-08T07:53:03.656Z","hiringOrganization":{"@type":"Organization","name":"Tential Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Conroe","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2098d996bdc7363983ab458b"},"url":"https://jobsearcher.com/jobs/2098d996bdc7363983ab458b"}}