Base pay range $68.00/hr - $72.00/hr Monitor data pipeline batches and validate results for performance and reporting. Perform data engineering tasks including data acquisition, data validation, and database design. Design and implement ETL/ELT data pipelines. Partner with cross‑functional teams to ensure accuracy, efficiency, and reliability of data processes. Qualifications Data Engineer (3+ years of experience) with Python and SQL, primarily for pipeline maintenance and some development work. Proven experience using Python, SQL, and cloud storage such as AWS S3. Experience working in multiple environments (Dev, QA, Prod, etc.) and applying DevOps procedures for code deployment/promotion. Understanding of relational database design and proficiency using a database such as PostgreSQL or Snowflake. Preferred Experience working with large datasets and big data technologies, preferably cloud‑based (Snowflake, Databricks, etc.). Knowledgeable about cloud architecture and product offerings, preferably AWS. Experience managing and deploying code with source control such as GitLab/GitHub. Experience leveraging containerization technologies such as Docker or Kubernetes. Hands‑on knowledge of job scheduling software like Apache Airflow or UC4. Seniority level Associate Employment type Contract Job function Engineering, Analyst, and Information Technology Industries IT Services and IT Consulting and Entertainment Providers Benefits Vision insurance Referral Program Referrals increase your chances of interviewing at Optomi by 2x Additional Information Get notified about new Data Engineer jobs in Orlando, FL. #J-18808-Ljbffr Optomi
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