About SonderMind At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company. About the Role We are hiring a Senior Staff Data Engineer to play a senior technical leadership role on SonderMind’s Data Platform team. This role focuses on designing, building, and evolving the data systems that support analytics, experimentation, machine learning, and clinical outcomes across the business. As a Senior Staff Data Engineer you will operate with a high degree of ownership and autonomy. You will be responsible not only for delivering reliable data infrastructure, but also for shaping technical direction, establishing best practices, and enabling other teams to move faster with high-quality, trusted data—while operating within the constraints of a regulated healthcare environment. What you’ll do - Design, build, and maintain core data pipelines and infrastructure that power analytics, experimentation, machine learning and AI fine tuning and agentic use cases across product, clinical, and operations teams. - Own data architecture decisions related to ingestion, transformation, storage, and serving layers, with a focus on scalability, reliability, cost efficiency, and maintainability. - Establish and enforce data quality, observability, and reliability standards, including SLAs, monitoring, alerting, and incident response practices for critical datasets. - Partner closely with analytics, data science, and product engineering teams to understand data needs and translate them into well-designed, reusable data models and pipelines. - Lead technical initiatives and drive best practices across the data engineering team, including code quality, testing, documentation, and data contracts. - Ensure data systems meet privacy, security, and compliance requirements, with a strong understanding of handling sensitive mental health and healthcare data. - Mentor and support other data engineers, providing technical guidance, design feedback, and helping raise the overall engineering bar. - Support other responsibilities and ad-hoc projects as needed based on evolving business and platform needs. What does success look like? First 3–6 Months: - Develop a strong understanding of SonderMind’s data landscape, key business use cases, and regulatory constraints. - Take ownership of critical pipelines or platform components and begin making meaningful improvements to reliability and clarity. - Build trust with analytics, data science, and engineering partners through consistent delivery and thoughtful technical decisions. Continued Success in the Role: - Data pipelines are reliable, observable, and well understood, with fewer surprises and faster issue resolution. - Teams across the company are able to move faster because data is accessible, well modeled, and trusted. - Technical decisions scale well over time and reduce long-term maintenance and operational burden. - You influence platform direction beyond your own code by raising standards and helping others make better technical choices. How Performance Is Measured: - Reliability and quality of core data systems, including uptime, freshness, and accuracy. - Impact on team velocity and downstream consumers, including analytics, ML, AI, and product. - Technical leadership and influence across the data organization. - Alignment with SonderMind’s career competencies, including ownership, collaboration, and thoughtful problem-solving. Who You Are Qualifications: - 8+ years of experience in data engineering, platform engineering, or backend engineering roles. - Strong proficiency in SQL and at least one general-purpose programming language (Python strongly preferred). - Hands-on experience building and maintaining production data pipelines at scale. - Experience working with modern data platforms, including cloud data warehouses, orchestration tools, and transformation frameworks. - Strong understanding of data modeling, pipeline reliability, and system design trade-offs. - Proven ability to work cross-functionally and translate business needs into effective technical solutions. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred (Not Required): - Experience in healthcare, mental health, or other regulated environments. - Familiarity with streaming or event-driven data systems. - Experience supporting machine learning or experimentation workflows. - Exposure to data governance, privacy, or compliance frameworks. Our Benefits The anticipated salary range for this role is $180,000 - $200,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work. Our benefits include: - A generous PTO policy, with a minimum of three weeks off per year - A holiday schedule that follows standard U.S. holidays - Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate) - Competitive Medical, Dental, and Vision coverage, with plans to meet every need — including HSA (with $1,100 company contribution) and FSA options - Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period) - Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8–16 weeks of paid leave - 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested - Join teammates from across the country at our annual company gathering - Company shutdown between Christmas and New Year’s - Supplemental life insurance, pet insurance, commuter benefits, and more Application Deadline This position will be an ongoing recruitment process and will be open until filled. Equal Opportunity SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

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. - Experience with Big Data; Data Processing - Experience with Other: diagnosing system issues, engaging in data validation, and providing quality assurance testing - Experience with Data Manipulation; Data Mining - Experience working in a production cloud infrastructure - Experience with one or more of the following C# (Programming Language); Java (Programming Language); Programming Concepts; Programming Tools; Python (Programming Language); SQL (Programming Language) - Knowledge of Microsoft SQL Servers; SQL (Programming Language) Soft Skills: - Intermediate - Seeks to acquire knowledge in area of specialty - Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions - Intermediate - Ability to work independently - Intermediate - Demonstrated analytical skills - Intermediate - Demonstrated project management skills - Intermediate - Demonstrates a high level of accuracy, even under pressure - Intermediate - Demonstrates excellent judgment and decision making skills 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

• Design, develop, and maintain robust, scalable data pipelines using Python and Airflow. • Collaborate with Analytics Engineers and other team members to deliver clean, well-modeled data to downstream users. • Implement monitoring, logging, and alerting to ensure data pipeline reliability and performance. • Ensure data quality and integrity through validation frameworks and testing. • Optimize performance and cost-efficiency of cloud-based data systems. • Contribute to architectural decisions around data storage, workflow orchestration, and infrastructure as code. • Document data pipelines and processes

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Software Engineer (Big Data) on the Iron Chef team, you will design, build, and support data pipelines and data products that power machine learning (ML), AI-driven workflows, and analytics for Zillow Partner Agents. You will collaborate closely with product managers, engineers, data scientists, and analysts to create high-quality datasets and data products that surface the right customer opportunities at the right time. This is a high-impact role where you will improve data quality, reliability, and automation across our data engineering stack and contribute to the development and deployment of AI-driven systems used across Zillow. You Will Get To: - Collaborate with product managers, engineers, data scientists, and analysts to build, transform, and derive value from high-quality datasets that power machine learning, AI-driven workflows, and advanced analytics. - Design, build, and support scalable data pipelines and data products that serve ML, AI, and analytical use cases for Zillow Partner Agents. - Build self-service tools and platforms that address challenges for both data producers and data consumers, including integration and orchestration of AI-driven processes. - Contribute to shared infrastructure and tooling that enable reliable, scalable, and observable AI-powered systems. - Evaluate and drive adoption of new data and AI technologies that advance the team’s automation and AI capabilities. - Mentor, coach, and lead junior team members to help them grow into strong big data engineers. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location. Qualifications - 5+ years of software development experience with high proficiency in Python, Java, Scala, or a similar programming language. - Strong knowledge of SQL, data structures, and algorithms, and experience building highly scalable and reliable data pipelines using technologies such as Spark, Hive, Trino/Presto, Airflow, Kafka, or Flink. - Experience with containerization and orchestration technologies, for example Docker and/or Kubernetes. - Familiarity with analytical and BI tools such as Tableau, Superset, or Mode Analytics, and experience working directly with customers or stakeholders to understand and capture requirements. - You care deeply about building high-quality tools, APIs, and platforms, and you use creativity and feedback to continuously improve them. - Nice to have: experience with data modeling and DevOps practices for running and supporting production systems. - Nice to have: experience with AI/ML systems, AI agents or workflows, or automation of data-driven processes. Company Description At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.