{"schemaVersion":"jobsearcher.job.v1","id":"cb7b3f35759c5b5876f88249","url":"https://jobsearcher.com/jobs/cb7b3f35759c5b5876f88249","canonicalUrl":"https://jobsearcher.com/jobs/cb7b3f35759c5b5876f88249","title":"Senior Data Engineer","description":"We are seeking an experienced and highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will possess extensive expertise in data warehousing, ETL processes, cloud-based data platforms, SQL, Python programming, data visualization, and orchestration/scheduling tools. You will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the seamless integration and transformation of data from various sources to support robust analytics and business intelligence.\nKey Responsibilities:\nData Architecture Design: Lead the design, implementation, and maintenance of scalable data warehouse solutions to meet the organization's data storage and retrieval needs.\nETL Process Management: Oversee the development and management of ETL processes using Informatica Intelligent Cloud Services (IICS)/FiveTran to ensure efficient and accurate data transfer between systems.\nCloud Data Platforms: Architect and manage cloud data warehouses using Snowflake/BigQuery, ensuring optimal performance, security, and scalability.\nData Transformation: Utilize dbt (data build tool) to model, transform, and document data pipelines, ensuring high data quality and consistency.\nSQL Development: Develop, optimize, and maintain complex SQL queries and scripts to support data extraction, transformation, and loading processes.\nPython Development: Develop, optimize, and maintain data processing scripts and applications using Python to support various data engineering tasks.\nData Visualization: Create and manage data visualizations using tools such as DOMO, Tableau, Power BI, or Looker to help stakeholders interpret complex data insights.\nOrchestration and Scheduling: Implement and manage orchestration/scheduling tools such as Apache Airflow, Prefect, or similar to automate and monitor data workflows.\nTeam Leadership: Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.\nCross-functional Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver robust data solutions.\nPerformance Tuning: Monitor and enhance the performance of data systems to ensure high availability and fast query responses.\nDocumentation and Standards: Maintain comprehensive documentation for data models, ETL processes, and data infrastructure while establishing best practices and standards.\nSecurity and Compliance: Implement and manage data security protocols and ensure compliance with relevant regulations and best practices.\nRequired Skills and Qualifications:\nEducational Background: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.\nExperience: Minimum of 7-10 years of experience in data engineering, data warehousing, and ETL development, with at least 3 years in a senior or lead role.\nTechnical Proficiency:\nExpertise in designing and managing data warehouses.\nAdvanced proficiency in ETL tools like Informatica Intelligent Cloud Services (IICS), Fivetran, Azure Data Factory, Google Cloud Dataflow etc.\nExtensive hands-on experience with Snowflake for data warehousing and management.\nProficient in dbt for data modeling and transformation.\nStrong knowledge of Google BigQuery and its ecosystem.\nProficiency in SQL and database management.\nAdvanced skills in developing, optimizing, and maintaining complex SQL queries and scripts.\nAdvanced skills in Python for data processing and automation.\nExperience with data visualization tools such as DOMO, Tableau, Power BI, or Looker.\nExperience with orchestration/scheduling tools such as Apache Airflow, Prefect, or similar.\nExperience with data observability tools to monitor data pipeline health and ensure data quality.\nKnowledge of data governance principles and experience in implementing governance policies and procedures.\nExperience with CI/CD practices for data engineering workflows.\nLeadership Skills: Proven ability to lead and mentor a team of engineers, manage projects, and deliver results.\nAnalytical Skills: Strong problem-solving skills with the ability to analyze complex data requirements and develop efficient solutions.\nCommunication Skills: Excellent written and verbal communication skills to effectively collaborate with team members and stakeholders.\nPreferred Qualifications:\nExperience with other cloud platforms (e.g., GCP, AWS, Azure) and their data services.\nKnowledge of data governance and data quality frameworks.\nExperience with version control systems like Git.\n\nDesired:\nProject management experience\n\n#LI-Remote\n#LI-RT1\nO’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.\nTotal Compensation Package:\nCompetitive Wages & Paid Time Off\nStock Purchase Plan & 401k with Employer Contributions Starting Day One\nMedical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)\nTeam Member Health/Wellbeing Programs\nTuition Educational Assistance Programs\nOpportunities for Career Growth\nO’Reilly Auto Parts is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.\nReasonable Accommodations: Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.","company":"O","rawCompany":"o","city":"Springfield","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:24:29.100Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Senior Data Engineer","description":"We are seeking an experienced and highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will possess extensive expertise in data warehousing, ETL processes, cloud-based data platforms, SQL, Python programming, data visualization, and orchestration/scheduling tools. You will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the seamless integration and transformation of data from various sources to support robust analytics and business intelligence.\nKey Responsibilities:\nData Architecture Design: Lead the design, implementation, and maintenance of scalable data warehouse solutions to meet the organization's data storage and retrieval needs.\nETL Process Management: Oversee the development and management of ETL processes using Informatica Intelligent Cloud Services (IICS)/FiveTran to ensure efficient and accurate data transfer between systems.\nCloud Data Platforms: Architect and manage cloud data warehouses using Snowflake/BigQuery, ensuring optimal performance, security, and scalability.\nData Transformation: Utilize dbt (data build tool) to model, transform, and document data pipelines, ensuring high data quality and consistency.\nSQL Development: Develop, optimize, and maintain complex SQL queries and scripts to support data extraction, transformation, and loading processes.\nPython Development: Develop, optimize, and maintain data processing scripts and applications using Python to support various data engineering tasks.\nData Visualization: Create and manage data visualizations using tools such as DOMO, Tableau, Power BI, or Looker to help stakeholders interpret complex data insights.\nOrchestration and Scheduling: Implement and manage orchestration/scheduling tools such as Apache Airflow, Prefect, or similar to automate and monitor data workflows.\nTeam Leadership: Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.\nCross-functional Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver robust data solutions.\nPerformance Tuning: Monitor and enhance the performance of data systems to ensure high availability and fast query responses.\nDocumentation and Standards: Maintain comprehensive documentation for data models, ETL processes, and data infrastructure while establishing best practices and standards.\nSecurity and Compliance: Implement and manage data security protocols and ensure compliance with relevant regulations and best practices.\nRequired Skills and Qualifications:\nEducational Background: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.\nExperience: Minimum of 7-10 years of experience in data engineering, data warehousing, and ETL development, with at least 3 years in a senior or lead role.\nTechnical Proficiency:\nExpertise in designing and managing data warehouses.\nAdvanced proficiency in ETL tools like Informatica Intelligent Cloud Services (IICS), Fivetran, Azure Data Factory, Google Cloud Dataflow etc.\nExtensive hands-on experience with Snowflake for data warehousing and management.\nProficient in dbt for data modeling and transformation.\nStrong knowledge of Google BigQuery and its ecosystem.\nProficiency in SQL and database management.\nAdvanced skills in developing, optimizing, and maintaining complex SQL queries and scripts.\nAdvanced skills in Python for data processing and automation.\nExperience with data visualization tools such as DOMO, Tableau, Power BI, or Looker.\nExperience with orchestration/scheduling tools such as Apache Airflow, Prefect, or similar.\nExperience with data observability tools to monitor data pipeline health and ensure data quality.\nKnowledge of data governance principles and experience in implementing governance policies and procedures.\nExperience with CI/CD practices for data engineering workflows.\nLeadership Skills: Proven ability to lead and mentor a team of engineers, manage projects, and deliver results.\nAnalytical Skills: Strong problem-solving skills with the ability to analyze complex data requirements and develop efficient solutions.\nCommunication Skills: Excellent written and verbal communication skills to effectively collaborate with team members and stakeholders.\nPreferred Qualifications:\nExperience with other cloud platforms (e.g., GCP, AWS, Azure) and their data services.\nKnowledge of data governance and data quality frameworks.\nExperience with version control systems like Git.\n\nDesired:\nProject management experience\n\n#LI-Remote\n#LI-RT1\nO’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.\nTotal Compensation Package:\nCompetitive Wages & Paid Time Off\nStock Purchase Plan & 401k with Employer Contributions Starting Day One\nMedical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)\nTeam Member Health/Wellbeing Programs\nTuition Educational Assistance Programs\nOpportunities for Career Growth\nO’Reilly Auto Parts is an equal opportunity employer. Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.\nReasonable Accommodations: Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.","datePosted":"2026-04-12T20:24:29.100Z","dateModified":"2026-04-12T20:24:29.100Z","hiringOrganization":{"@type":"Organization","name":"O","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cb7b3f35759c5b5876f88249"},"url":"https://jobsearcher.com/jobs/cb7b3f35759c5b5876f88249"}}