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. - Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.) - Provides guidance to data engineers in the design, development, implementation, testing, documenting, and operating of 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 senior level knowledge and insight into the changing data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions - Develops, constructs, tests, and maintains architectures using advanced programming language and tools - Drives ways to improve data reliability, efficiency, and quality and deploys a solution; 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 4 – 6 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. - - Snowflake - SQL - Informatica IDMC Pay Range: $87,000.00 - $161,300.00 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

Role Description We are seeking a Databricks Data Engineer for a full-time position supporting our various clients. We are committed to your growth and success in the IT software development industry. We are looking for a Databricks Data Engineer ready to assume leadership responsibilities in a supportive team environment focused on your success as a function of client success. - Build end-to-end implementation of multiple ETL/ELT pipelines, demonstrating efficient data transformation and ingest patterns to move raw data from data producers to an enterprise data ecosystem, with a focus on performance and reliability. - Assess and understand the ETL jobs, workflows, BI tools, and reports. - Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products. - Experience in crafting database/data warehouse solutions in the cloud (Preferably AWS, Azure, Alternatively GCP). - Key must-have skill sets – Python, SQL, Databricks, AWS Data Services. - Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores. - Experience manipulating, processing, and extracting value from large, disconnected datasets. - Experience manipulating structured and unstructured data for analysis. - Experience with data modeling tools and processes. - Experience aggregating and transforming data from multiple datasets to create data products. - Support an Agile software development lifecycle. Qualifications - Ability to hold a position of public trust with the US government. - B.S. in Computer Science or equivalent. - 4+ years' experience in data engineering and big data. At least 2 years' of professional services experience interacting directly with clients. - Big data tools: Hadoop, Spark, Kafka, etc. - Relational SQL and NoSQL databases and experience working with relational databases. - AWS cloud services: EC2, S3, RDS, Glue, Step Functions, Lambda, EMR, DynamoDB, DocumentDB, Redshift, Aurora, Athena. - Data Platforms: Databricks. - Data streaming systems: Batch, Kafka, Storm, Spark-Streaming, etc. - Languages: Python, R, Scala, Go. - Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks. - Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks. - Data modeling and database design skills and knowledge of version control. - Excellent verbal and written communication skills. - Experience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks. - Databricks Data Engineer Professional certification a plus. - Preference for candidates with Databricks Professional certifications. Requirements - Bachelor’s degree in a technical field such as software engineering, engineering, computer science, etc. Benefits - A comprehensive benefits package including healthcare (medical, dental, vision and disability). - A 401k program where you are 100% vested from day one with an employer match after 90 days. - An Educational Assistance program. - A Student Loan Repayment Program. - Gym Reimbursement Program. - Paid Time off. - Dynamics, passionate, multi-disciplinary team of creative minds to work with, and many more.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Instructor - REMOTE. In this critical role, you will harness the power of technology to train and inspire individuals from diverse backgrounds to pursue rewarding careers in data engineering. The instructor will drive the curriculum forward by integrating modern tools and methodologies, ensuring students gain necessary skills such as Python, SQL, and Cloud Technologies. As a leader in the educational process, you will also be responsible for facilitating hands-on learning and mentoring students through their training journey. This remote position offers flexibility while contributing to meaningful community impact. Accountabilities - Deliver high-quality instruction in Data Engineering covering essential tools and technologies. - Manage and monitor student performance, providing individual feedback and support. - Facilitate hands-on labs, guiding students through practical coding exercises. - Leverage AI tools to enhance learning experiences and demonstrate technical concepts. - Support the curriculum by maintaining and updating lesson plans. - Handle administrative duties, including updating learning management systems. Qualifications - Bachelor’s Degree in Computer Science, Data Science, or related field, or equivalent experience. - Minimum 1 year of teaching or mentoring experience in a technical environment. - Proficiency in Google Gemini and other AI tools for instructional use. - Experience with Unix/Linux command line and basic shell scripting. - Knowledge of version control using Git and GitHub. - Strong Python programming skills, including libraries like NumPy and Pandas. - Familiarity with relational databases and SQL programming. - Experience with Big Data frameworks and ETL processes. - Proficiency in data visualization tools, specifically Tableau. - Experience using AWS services relevant to data analytics. Benefits - Competitive hourly compensation at $60/hour. - Opportunities for professional development and continuous learning. - Flexible remote work environment. - Be part of a mission-driven organization focused on community impact. - Access to comprehensive healthcare benefits. - 401K match to support your financial future. - Join a collaborative and supportive team culture.

• Design and build production-grade data pipelines in Databricks using Spark/PySpark and SQL. • Develop and maintain an Analytics ID stitching pipeline using deterministic and probabilistic matching techniques across multiple customer data sources. • Build and manage modular data marts (Identity, Behavior, Demographics) with independent refresh cadences. • Implement and maintain a scalable feature store supporting downstream analytics and data science use cases. • Own the end-to-end data lifecycle: ingestion, transformation, validation, deployment, monitoring, and optimization. • Develop data quality frameworks including schema drift detection, anomaly monitoring, match-rate validation, and automated deduplication audits. • Implement CI/CD processes for multi-environment promotion (dev/staging/prod) in Databricks environments. • Coordinate orchestration workflows and manage dependencies using Databricks Workflows or similar tools. • Collaborate closely with Data Architects and Client stakeholders to translate business rules into scalable technical solutions. • Produce comprehensive technical documentation including data contracts, lineage maps, architecture diagrams, and operational runbooks.