{"schemaVersion":"jobsearcher.job.v1","id":"a7aeb181ca3dce6e8f88cd96","url":"https://jobsearcher.com/jobs/a7aeb181ca3dce6e8f88cd96","canonicalUrl":"https://jobsearcher.com/jobs/a7aeb181ca3dce6e8f88cd96","title":"Data Engineer","description":"US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other\r\nWork Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other\r\nPosition Overview:The Data Engineer will build, maintain, and optimize scalable data platforms and pipelines to support enterprise analytics and business intelligence initiatives. This role focuses on data integration, transformation, processing, and cloud-based data architecture while ensuring data quality, reliability, and performance.\r\nTechnical Skills & Data Platform Expertise:Strong programming experience with Python, SQL, and PySpark.\r\nHands-on experience with ETL/ELT development and data pipeline architecture.\r\nKnowledge of Apache Spark, Hadoop, and distributed data processing.\r\nExperience with cloud data platforms such as AWS, Azure, or Google Cloud.\r\nFamiliarity with Snowflake, Databricks, Amazon Redshift, or Google BigQuery.\r\nExperience with data orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.\r\nStrong understanding of relational and NoSQL databases.\r\nKnowledge of data modeling, data warehousing, and dimensional modeling.\r\nExperience with Kafka or other streaming technologies is preferred.\r\nFamiliarity with Git, Docker, Kubernetes, and CI/CD pipelines.\r\nUnderstanding of data governance, metadata management, and data security.\r\nData Engineering & Delivery Responsibilities:Design, develop, and maintain scalable ETL/ELT data pipelines.\r\nBuild data ingestion and transformation workflows from multiple sources.\r\nProcess large datasets using Python, SQL, PySpark, and Spark.\r\nDevelop and optimize data warehouse and lakehouse solutions.\r\nImplement data validation, reconciliation, and quality checks.\r\nIntegrate structured and unstructured data from enterprise systems.\r\nOptimize query performance and improve data pipeline efficiency.\r\nMonitor pipeline execution, troubleshoot failures, and resolve data issues.\r\nImplement data security, governance, and access-control standards.\r\nCollaborate with data scientists, analysts, architects, and business stakeholders.\r\nProfessional Experience & Core Competencies:5+ years of experience in data engineering or big data development.\r\nStrong hands‑on experience building and supporting production data pipelines.\r\nExperience working with cloud-based data platforms and enterprise databases.\r\nUnderstanding of distributed computing and data processing frameworks.\r\nStrong analytical, debugging, and problem-solving abilities.\r\nExperience working in Agile development environments.\r\nEducational Background & Preferred Certifications:Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.\r\nMaster's degree is preferred.\r\nCertifications in AWS, Azure, Google Cloud, Snowflake, or Databricks are an advantage.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","company":"Ethereum Technologies","rawCompany":"ethereum technologies","city":"Dallas","state":"TX","isRemote":false,"isActive":true,"createdAt":"2026-11-13T01:43:39.395Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other\r\nWork Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other\r\nPosition Overview:The Data Engineer will build, maintain, and optimize scalable data platforms and pipelines to support enterprise analytics and business intelligence initiatives. This role focuses on data integration, transformation, processing, and cloud-based data architecture while ensuring data quality, reliability, and performance.\r\nTechnical Skills & Data Platform Expertise:Strong programming experience with Python, SQL, and PySpark.\r\nHands-on experience with ETL/ELT development and data pipeline architecture.\r\nKnowledge of Apache Spark, Hadoop, and distributed data processing.\r\nExperience with cloud data platforms such as AWS, Azure, or Google Cloud.\r\nFamiliarity with Snowflake, Databricks, Amazon Redshift, or Google BigQuery.\r\nExperience with data orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.\r\nStrong understanding of relational and NoSQL databases.\r\nKnowledge of data modeling, data warehousing, and dimensional modeling.\r\nExperience with Kafka or other streaming technologies is preferred.\r\nFamiliarity with Git, Docker, Kubernetes, and CI/CD pipelines.\r\nUnderstanding of data governance, metadata management, and data security.\r\nData Engineering & Delivery Responsibilities:Design, develop, and maintain scalable ETL/ELT data pipelines.\r\nBuild data ingestion and transformation workflows from multiple sources.\r\nProcess large datasets using Python, SQL, PySpark, and Spark.\r\nDevelop and optimize data warehouse and lakehouse solutions.\r\nImplement data validation, reconciliation, and quality checks.\r\nIntegrate structured and unstructured data from enterprise systems.\r\nOptimize query performance and improve data pipeline efficiency.\r\nMonitor pipeline execution, troubleshoot failures, and resolve data issues.\r\nImplement data security, governance, and access-control standards.\r\nCollaborate with data scientists, analysts, architects, and business stakeholders.\r\nProfessional Experience & Core Competencies:5+ years of experience in data engineering or big data development.\r\nStrong hands‑on experience building and supporting production data pipelines.\r\nExperience working with cloud-based data platforms and enterprise databases.\r\nUnderstanding of distributed computing and data processing frameworks.\r\nStrong analytical, debugging, and problem-solving abilities.\r\nExperience working in Agile development environments.\r\nEducational Background & Preferred Certifications:Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.\r\nMaster's degree is preferred.\r\nCertifications in AWS, Azure, Google Cloud, Snowflake, or Databricks are an advantage.\r\nWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","datePosted":"2026-11-13T01:43:39.395Z","dateModified":"2026-11-13T01:43:39.395Z","hiringOrganization":{"@type":"Organization","name":"Ethereum Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a7aeb181ca3dce6e8f88cd96"},"url":"https://jobsearcher.com/jobs/a7aeb181ca3dce6e8f88cd96"}}