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DataOps Engineer at Qode. Ready to make a real impact in Data? As a DataOps Engineer I, you’ll design and maintain cutting-edge automated processes to ensure seamless data ingestion, empowering our client support teams to deliver top-tier service. With a competitive salary of $75,000–$95,000, flexible remote work, and the chance to pioneer value-driven care, this role offers both purpose and growth.. Job Details. . . Salary. : $75,000–$95,000. . . Location. : Remote (Tampa Bay area preferred; EST/CST time zones considered). Must be willing to travel to Tampa, FL, quarterly for 3-4 days.. . . Work Hours. : Monday–Friday, standard business hours. . . Benefits. : Comprehensive health benefits, sick leave pay, holiday pay. . . Other. : Opportunity to work on innovative healthcare solutions with a high-growth company. . Minimum Qualifications. . 1–3 years of data engineering experience or equivalent education.. . Bachelor’s degree in data analytics, computer science, MIS, mathematics, or statistics (or 5+ years’ equivalent work experience).. . Proficient in writing SQL queries.. . Strong analytical skills to interpret data and derive insights.. . Ability to apply project knowledge to future initiatives.. . Job Duties. . Catalog and monitor client data exchanges (e.g., file frequency, sizes) to ensure timely and complete ingestion.. . Design automated processes to detect irregularities in data flow and alert relevant teams.. . Review data for accuracy and document findings to maintain historical knowledge.. . Collaborate across departments, including direct client interaction, to support business operations.. . Act as a subject matter expert, creating training materials for self-service dashboards.. . Preferred Qualifications. . Experience with SSMS and SSIS.. . Familiarity with Snowflake.. . Knowledge of healthcare claims data.. . Company Location: United States.