{"schemaVersion":"jobsearcher.job.v1","id":"ad3681342bd369cbbbf233ca","url":"https://jobsearcher.com/jobs/ad3681342bd369cbbbf233ca","canonicalUrl":"https://jobsearcher.com/jobs/ad3681342bd369cbbbf233ca","title":"Data Engineer","description":"Data EngineerLocation: Sunnyvale CA or Austin TX or Elk Grove CA /3 days in a week hybrid onsite We are looking for a data engineer with experience in the data analytics space. What we need to see is that a candidate has done data engineering for analytics teams — the full scope of what data engineering requires — and that the consumers of their work were data analysts or data scientists.Core Professional CompetenciesCommunication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.Data Engineering Expertise (5+ years)Experienced in building and maintaining data pipelines (ETL/ELT)Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)Comfortable working with cloud platforms (e.g., AWS) and tools like SnowflakeFamiliar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)Data Infrastructure & Management (5+ years)Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)Familiar with version control, CI/CD practices for data workflows (e.g., Git)Expertise in Python (5+ years)Snowflake - Is Required - 2-5 YearsData Migration - Is Required - 5-10 YearsDatabase Technologies - Is Required - 5-10 YearsAdvanced SQL - Is Required - 5-10 YearsData Engineering - Is Required - 5-10 Yearspython - Is Required - 5-10 Years","company":"RIT Solutions","rawCompany":"rit solutions","city":"Elk Grove","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-25T05:10:07.984Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"Data EngineerLocation: Sunnyvale CA or Austin TX or Elk Grove CA /3 days in a week hybrid onsite We are looking for a data engineer with experience in the data analytics space. What we need to see is that a candidate has done data engineering for analytics teams — the full scope of what data engineering requires — and that the consumers of their work were data analysts or data scientists.Core Professional CompetenciesCommunication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. 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