{"schemaVersion":"jobsearcher.job.v1","id":"44b505ba0cee0575b5fcfe02","url":"https://jobsearcher.com/jobs/44b505ba0cee0575b5fcfe02","canonicalUrl":"https://jobsearcher.com/jobs/44b505ba0cee0575b5fcfe02","title":"Data Engineer","description":"Job Title: Data Engineer -5394\n**NO CTC- Please do not apply if you can't work directly for us\nMust be Local or willing to relocate from day one. Alternate weeks in Richmond VA office; other week remote. (5 days in office, 5 days remote, repeating). No 100% remote\nRequired Skills & Experience:\nAdvanced expertise in SQL, ELT patterns, and performance tuning.\nStrong experience with Oracle Exadata, Snowflake or similar cloud/on prem data warehouses.\nHands on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica).\nDeep understanding of data warehousing architecture and dimensional modeling.\nExperience designing and supporting large scale, production data pipelines.\nStrong scripting experience (Python, shell).\nExperience with data virtualization tools (e.g., Denodo, Composite, dremio, Starburst).\nExperience with DataOps practices, CI/CD, and observability.\nRequired 5 to 7+ years of Data Engineering experience.\nETL Development and Process Support, may require weekend/off business hours work.\nKey Behavioral Expectations (\"How We Work\"):\nDelivering at Pace: Acts with urgency to meet deadlines while maintaining quality, prioritizing workload effectively under pressure.\nCollaborative Teamwork: Actively supports colleagues, shares knowledge freely, and treats others with dignity and respect.\nEffective Communication: Tailors communication style to the audience, ensuring clarity and transparency in both successes and challenges.\nOwnership and Adaptability: Takes responsibility for outcomes and welcomes feedback for improvement.\nAbility to work independently\nAchievement orientation\nSelf starter\nConcern for quality\nFlexibility\nPreferred / Nice to Have:\nExperience supporting AI/ML or advanced analytics pipelines.\nCloud platform experience (AWS, Azure, or GCP).\nPrior experience influencing enterprise data standards or reference architecture.\nExperience optimizing cost and performance in cloud data warehouses.\nHands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink\nHigh Level Project Overview:\nRole Summary\nThe Senior Data Engineer is a hands-on expert and technical leader, actively engaged in designing, building, and optimizing scalable, reliable data pipelines at an enterprise level. This role not only guides architectural decisions but also directly implements advanced ELT solutions, troubleshoots complex data challenges, and ensures best practices through practical, high-impact contributions.\nThis role combines deep hands on expertise with technical ownership, mentoring, and architectural alignment. The Senior Data Engineer drives and implements data engineering best practices, ensures high standards for quality and security, and partners with architecture and platform teams to improve the overall data ecosystem.\n________________________________________\nKey Responsibilities:\nBuild end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases, ensuring solutions are robust and production-ready through practical implementation.\nApply scalable patterns for batch and incremental processing by developing, testing, and deploying data workflows, focusing on hands-on coding and troubleshooting.\nReview and implement data modeling, transformation logic, and performance strategies, using deep technical expertise to optimize and validate solutions.\nEvaluate, select, and integrate tooling, frameworks, and platform capabilities by actively prototyping and configuring systems to meet project requirements.\nBuild up complex, high-volume data pipelines using SQL-centric ETL/ELT patterns.\nDesign and implement scalable streaming pipelines to process real-time data, ensuring low latency and reliable delivery for analytics and operational use cases.\nLead performance tuning efforts across pipelines, warehouses, and workloads.\nEnsure data pipelines are resilient, observable, and production ready.\nImplement enterprise-grade error handling, restart ability, and monitoring.\nBuild and maintain scalable, low-latency streaming data pipelines using technologies such as Kafka, Kinesis, or Spark Streaming\nPerform on-the-fly data cleaning, validation, and enrichment before data reaches its final destination.\nUses strategies such as Indexing and partitioning to fine tune the data warehouse and big data environments to improve the query response time and scalability\nImplement standards for data quality checks, validation, and reconciliation.\nEnsure pipelines meet security, access control, and governance requirements.\nPartner with governance & DataOps teams on metadata, lineage, and auditability.\nApply consistent naming conventions, documentation, and coding standards.\nImprove operational monitoring, alerting, and incident response processes.\nProactively identify reliability, performance, and cost optimization opportunities.\nSupport and guide production troubleshooting and root cause analysis.\nInvestigating data quality incidents and identifying design/coding GAPs\nParticipate in design and code reviews to enforce quality and best practices.\nPartner with various infrastructure teams, application teams, and architects to generate process designs and complex transformations to various data elements to provide the Business with insights into their business processes.\nTranslate ambiguous requirements into well designed technical solutions.\nWork in complex multi-platform environments on multiple project assignments.\nRequired Years of Experience:\nMUST have 5 to 7+ years of Data Engineering experience.\nEducation:\nEducation: Bachelors or higher required\nDiscipline: Computer Science, Information Systems, Mathematics\nIdeal experience:\nHigh Preference for candidates that have previously worked with a large scale commercial utilities team but will review candidates who have a background with large scale capital projects for companies\nLocation = Richmond VA (parking not provided)\nRate = $50-$62.50/hr a W2 contract\nLength = 1+ Years W2 Contract - Possible long term/extension for the right candidate\nJob Types: Full-time, Contract\nEducation:\nBachelor's (Required)\nExperience:\nELT/ETL: 1 year (Required)\ndata warehousing : 1 year (Required)\nData Engineering : 5 years (Required)\nSQL: 2 years (Required)\nPay: $50.00 - $62.50 per hour\nWork Location: Hybrid remote in Richmond, VA 23230","company":"Nationalcomputinggroup","rawCompany":"nationalcomputinggroup","city":"Henrico","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T16:24:45.386Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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: Data Engineer -5394\n**NO CTC- Please do not apply if you can't work directly for us\nMust be Local or willing to relocate from day one. Alternate weeks in Richmond VA office; other week remote. (5 days in office, 5 days remote, repeating). No 100% remote\nRequired Skills & Experience:\nAdvanced expertise in SQL, ELT patterns, and performance tuning.\nStrong experience with Oracle Exadata, Snowflake or similar cloud/on prem data warehouses.\nHands on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica).\nDeep understanding of data warehousing architecture and dimensional modeling.\nExperience designing and supporting large scale, production data pipelines.\nStrong scripting experience (Python, shell).\nExperience with data virtualization tools (e.g., Denodo, Composite, dremio, Starburst).\nExperience with DataOps practices, CI/CD, and observability.\nRequired 5 to 7+ years of Data Engineering experience.\nETL Development and Process Support, may require weekend/off business hours work.\nKey Behavioral Expectations (\"How We Work\"):\nDelivering at Pace: Acts with urgency to meet deadlines while maintaining quality, prioritizing workload effectively under pressure.\nCollaborative Teamwork: Actively supports colleagues, shares knowledge freely, and treats others with dignity and respect.\nEffective Communication: Tailors communication style to the audience, ensuring clarity and transparency in both successes and challenges.\nOwnership and Adaptability: Takes responsibility for outcomes and welcomes feedback for improvement.\nAbility to work independently\nAchievement orientation\nSelf starter\nConcern for quality\nFlexibility\nPreferred / Nice to Have:\nExperience supporting AI/ML or advanced analytics pipelines.\nCloud platform experience (AWS, Azure, or GCP).\nPrior experience influencing enterprise data standards or reference architecture.\nExperience optimizing cost and performance in cloud data warehouses.\nHands-on experience with Cribl, Apache Kafka, Kafka Connect, Spark Streaming, or Apache Flink\nHigh Level Project Overview:\nRole Summary\nThe Senior Data Engineer is a hands-on expert and technical leader, actively engaged in designing, building, and optimizing scalable, reliable data pipelines at an enterprise level. This role not only guides architectural decisions but also directly implements advanced ELT solutions, troubleshoots complex data challenges, and ensures best practices through practical, high-impact contributions.\nThis role combines deep hands on expertise with technical ownership, mentoring, and architectural alignment. The Senior Data Engineer drives and implements data engineering best practices, ensures high standards for quality and security, and partners with architecture and platform teams to improve the overall data ecosystem.\n________________________________________\nKey Responsibilities:\nBuild end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases, ensuring solutions are robust and production-ready through practical implementation.\nApply scalable patterns for batch and incremental processing by developing, testing, and deploying data workflows, focusing on hands-on coding and troubleshooting.\nReview and implement data modeling, transformation logic, and performance strategies, using deep technical expertise to optimize and validate solutions.\nEvaluate, select, and integrate tooling, frameworks, and platform capabilities by actively prototyping and configuring systems to meet project requirements.\nBuild up complex, high-volume data pipelines using SQL-centric ETL/ELT patterns.\nDesign and implement scalable streaming pipelines to process real-time data, ensuring low latency and reliable delivery for analytics and operational use cases.\nLead performance tuning efforts across pipelines, warehouses, and workloads.\nEnsure data pipelines are resilient, observable, and production ready.\nImplement enterprise-grade error handling, restart ability, and monitoring.\nBuild and maintain scalable, low-latency streaming data pipelines using technologies such as Kafka, Kinesis, or Spark Streaming\nPerform on-the-fly data cleaning, validation, and enrichment before data reaches its final destination.\nUses strategies such as Indexing and partitioning to fine tune the data warehouse and big data environments to improve the query response time and scalability\nImplement standards for data quality checks, validation, and reconciliation.\nEnsure pipelines meet security, access control, and governance requirements.\nPartner with governance & DataOps teams on metadata, lineage, and auditability.\nApply consistent naming conventions, documentation, and coding standards.\nImprove operational monitoring, alerting, and incident response processes.\nProactively identify reliability, performance, and cost optimization opportunities.\nSupport and guide production troubleshooting and root cause analysis.\nInvestigating data quality incidents and identifying design/coding GAPs\nParticipate in design and code reviews to enforce quality and best practices.\nPartner with various infrastructure teams, application teams, and architects to generate process designs and complex transformations to various data elements to provide the Business with insights into their business processes.\nTranslate ambiguous requirements into well designed technical solutions.\nWork in complex multi-platform environments on multiple project assignments.\nRequired Years of Experience:\nMUST have 5 to 7+ years of Data Engineering experience.\nEducation:\nEducation: Bachelors or higher required\nDiscipline: Computer Science, Information Systems, Mathematics\nIdeal experience:\nHigh Preference for candidates that have previously worked with a large scale commercial utilities team but will review candidates who have a background with large scale capital projects for companies\nLocation = Richmond VA (parking not provided)\nRate = $50-$62.50/hr a W2 contract\nLength = 1+ Years W2 Contract - Possible long term/extension for the right candidate\nJob Types: Full-time, Contract\nEducation:\nBachelor's (Required)\nExperience:\nELT/ETL: 1 year (Required)\ndata warehousing : 1 year (Required)\nData Engineering : 5 years (Required)\nSQL: 2 years (Required)\nPay: $50.00 - $62.50 per hour\nWork Location: Hybrid remote in Richmond, VA 23230","datePosted":"2026-08-06T16:24:45.386Z","dateModified":"2026-08-06T16:24:45.386Z","hiringOrganization":{"@type":"Organization","name":"Nationalcomputinggroup","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Henrico","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"44b505ba0cee0575b5fcfe02"},"url":"https://jobsearcher.com/jobs/44b505ba0cee0575b5fcfe02"}}