You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: 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. - 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 - Performs other duties as assigned - Complies with all policies and standards Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 – 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: - One or more of the following skills are desired. - - SQL Server - SSIS - Healthcare experience Pay Range: $63,600.00 - $114,600.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: 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. - 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 - Performs other duties as assigned - Complies with all policies and standards Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 – 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: One or more of the following skills are desired. - ETL - SQL - Snowflake Pay Range: $63,600.00 - $114,600.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act

• Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics) • Engages with the DevSecOps Engineer during continuous integration and continuous deployment • Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction • 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 • Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated

Role Description Ready to own the data pipeline powering the voice of the next generation of AI characters? You'll be joining a well-funded startup building AI character technology, where speech is a core part of the product experience. Think super natural conversations, handling interruptions, personality shifts and more! You'll own the datasets that power their speech systems — from raw, messy audio through to clean, versioned training corpora that directly drive TTS and ASR model performance. - Own the full data lifecycle — defining specs, auditing and curating large-scale audio and text corpora - Build automated quality metrics and dashboards across SNR, VAD, WER, speaker verification and safety, validated against listening tests - Train and deploy lightweight classifiers for noise detection, diarisation, language ID, and content moderation Qualifications - Deep experience working with speech and audio data at scale — 1M+ hours - Strong ML engineering skills in Python and PyTorch, including training and fine-tuning models like Whisper or Wav2Vec - Practical knowledge of audio processing — torchaudio, librosa, spectrograms, DSP basics - A solid understanding of audio quality metrics — MOS, WER, PESQ/STOI, SNR, speaker verification Requirements - Experience with Spark/Beam, Airflow, SQL or similar data engineering tools - Open-source contributions or publications in speech or audio ML - Background in denoising and enhancement, and how it affects downstream model quality Benefits - Remote, with a preference for European or overlapping timezones - Competitive compensation and equity