2 data engineers (sql, python, teradata, power bi, informatica-saas/healthcare) remote. st louis , missouri (remote) posted may 13, 2024 job details summary $55 – $60 per hour contract bachelor degree category computer and mathematical occupations reference1051923 job details job summary: Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment. Education and Experience: A Bachelor’s degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 2 – 4 years of related experience. Essential Functions: Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics Designs, develops, and maintains real-time processing applications and real-time data pipelines Ensure quality of technical solutions as data moves across Centene’s environments Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions Develops, constructs, tests, and maintains architectures using programming language and tools Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated location: CLAYTON (ST. LOUIS AREA), Missouri job type: Contract salary: $55 – 60 per hour work hours: 8am to 4pm education: Bachelors responsibilities: Requires 2 – 4 years of related experience. Essential Functions: Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics Designs, develops, and maintains real-time processing applications and real-time data pipelines Ensure quality of technical solutions as data moves across Centene’s environments Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions Develops, constructs, tests, and maintains architectures using programming language and tools Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated qualifications: Experience level: Experienced Minimum 5 years of experience Education: Bachelors skills: SQL (5 years of experience is required)Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).Applications accepted on ongoing basis until filled.
data-quality Data transformation Informatica mathematics statistics Python Computer Science devsecops validation programming-languages Data preparation SQL teradata Healthcare industry data-ingestion Engineering orchestration Power BI