{"schemaVersion":"jobsearcher.job.v1","id":"1c68f9bbea10d44ebed4af7d","url":"https://jobsearcher.com/jobs/1c68f9bbea10d44ebed4af7d","canonicalUrl":"https://jobsearcher.com/jobs/1c68f9bbea10d44ebed4af7d","title":"Senior Data Engineer","description":"Senior Data EngineerRemoteContractKey Responsibilities:Data Pipeline Development: Design, implement, and maintain ETL processes to extract, transform, and load data from diverse sources into data storage systems.Data Integration: Integrate data from various structured and unstructured sources, including databases, APIs, logs, and external data feeds.Data Modeling: Develop and maintain data models that align with business requirements, ensuring data is stored efficiently and accurately.Data Quality Assurance: Implement data quality checks and validation procedures to ensure data accuracy, consistency, and completeness.Data Warehousing: Build and maintain data warehouses or data lakes, optimizing them for query performance and scalability.Documentation: Create and maintain documentation for data pipelines, data models, and infrastructure configurations.Collaboration: Collaborate with analysts, and other stakeholders to understand data requirements and provide data support for analytics and reporting.Monitoring and Troubleshooting: Set up monitoring systems to proactively identify issues and troubleshoot data pipeline failures or performance bottlenecks.Qualifications:Bachelor's or higher degree in computer science engineering, information technology, or a related field.Strong programming skills Python and associated libraries: Pandas, SQL Alchemy, Flask, Fast API etc.Proficiency in SQL and experience with relational and NoSQL databases.Knowledge of data warehousing technologies like Amazon Redshift, Google BigQuery, Snowflake, or similar is a PlusExperience with data pipeline orchestration tools like Apache Airflow, Luigi, or similar.Familiarity with cloud platform AWS is a plus.Understanding of data integration techniques, data modeling, and data architecture best practices.Excellent problem-solving and troubleshooting skills.Strong communication and collaboration skills.Knowledge of data security and compliance standards is a plus.Experience with big data technologies (e.g., Hadoop, Spark) is a bonus","company":"Echo It Solutions","rawCompany":"echo it solutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:08:18.673Z","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":"Senior Data Engineer","description":"Senior Data EngineerRemoteContractKey Responsibilities:Data Pipeline Development: Design, implement, and maintain ETL processes to extract, transform, and load data from diverse sources into data storage systems.Data Integration: Integrate data from various structured and unstructured sources, including databases, APIs, logs, and external data feeds.Data Modeling: Develop and maintain data models that align with business requirements, ensuring data is stored efficiently and accurately.Data Quality Assurance: Implement data quality checks and validation procedures to ensure data accuracy, consistency, and completeness.Data Warehousing: Build and maintain data warehouses or data lakes, optimizing them for query performance and scalability.Documentation: Create and maintain documentation for data pipelines, data models, and infrastructure configurations.Collaboration: Collaborate with analysts, and other stakeholders to understand data requirements and provide data support for analytics and reporting.Monitoring and Troubleshooting: Set up monitoring systems to proactively identify issues and troubleshoot data pipeline failures or performance bottlenecks.Qualifications:Bachelor's or higher degree in computer science engineering, information technology, or a related field.Strong programming skills Python and associated libraries: Pandas, SQL Alchemy, Flask, Fast API etc.Proficiency in SQL and experience with relational and NoSQL databases.Knowledge of data warehousing technologies like Amazon Redshift, Google BigQuery, Snowflake, or similar is a PlusExperience with data pipeline orchestration tools like Apache Airflow, Luigi, or similar.Familiarity with cloud platform AWS is a plus.Understanding of data integration techniques, data modeling, and data architecture best practices.Excellent problem-solving and troubleshooting skills.Strong communication and collaboration skills.Knowledge of data security and compliance standards is a plus.Experience with big data technologies (e.g., Hadoop, Spark) is a bonus","datePosted":"2026-10-16T14:08:18.673Z","dateModified":"2026-10-16T14:08:18.673Z","hiringOrganization":{"@type":"Organization","name":"Echo It Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1c68f9bbea10d44ebed4af7d"},"url":"https://jobsearcher.com/jobs/1c68f9bbea10d44ebed4af7d"}}