At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Lead Trading Strategist, you'll define and evolve the systems that power real-time market-making and automated trading at scale. You'll operate at the intersection of quantitative research and production engineering, translating complex market behavior into high-performance trading strategies. Working across teams, you'll lead the design and development of low-latency systems that price markets, manage risk, and react to high-frequency events. Your work will shape how markets behave, driving innovation and unlocking new opportunities through data-driven strategy and technical leadership. What you'll do as a Senior Lead Trading Strategist - Lead the design, implementation, and continuous refinement of market-making and trading strategies informed by market microstructure, participant behavior, and risk constraints. - Translate quantitative research and hypotheses into scalable, production-grade trading systems in close partnership with Engineers, Data Scientists, and fellow Strategists. - Architect and evolve backtesting frameworks that accurately model execution, liquidity dynamics, and behavioral responses. - Develop and oversee real-time decision engines that price markets, optimize inventory, and react to high-frequency event streams. - Set technical direction for trading systems, ensuring scalability, performance, and reliability in production environments. - Contribute on monitoring, alerting, and observability standards for live systems, enabling rapid diagnosis and resolution of anomalies. - Communicate strategy vision, system behavior, and business impact clearly to technical and non-technical stakeholders, influencing decision-making across teams. What you'll bring - At least 7 years of experience in machine learning, quantitative modeling, or algorithmic strategy development. - Strong proficiency in Python (including NumPy, Pandas, and PyTorch) and experience with C++, C#, Java, or Rust for performance-critical systems. - Deep expertise in market making, market microstructure, liquidity modeling, and risk-aware optimization. - Strong foundation in statistical and probabilistic modeling, including time-series analysis and signal evaluation. - Experience working with automated trading systems, prediction markets, sports betting, or crypto and decentralized finance environments. - Strong leadership and communication skills, with a demonstrated ability to lead complex technical initiatives and influence cross-functional teams. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 184,000.00 USD - 230,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About BJAK BJAK is building the next-generation insurance and financial services platform - designed to be intuitive, intelligent and personalised. Presently we are the largest insurance platform in Southeast Asia, and expanding globally with a strong focus on technology and product superiority. We are looking for talented, ownership-minded individuals. In return, expect growth, trust, autonomy, rewards, and impact. About the Role As a Data Engineer, you will build and operate the data infrastructure that powers BJAK’s analytics, product insights, and downstream systems. You will work closely with analytics, product, and engineering teams to ensure data is reliable, accessible, and production-ready at scale. What You Will Be Doing - Design, build, and maintain scalable, fault-tolerant data pipelines (batch and/or streaming) for core business and product data. - Ingest data from diverse sources including APIs, databases, event streams, and third-party services, ensuring high data quality and reliability. - Design and manage data models and storage layers (data warehouses, data lakes) that support analytics and downstream use cases. - Partner with analytics, product, and engineering teams to deliver clean, well-documented datasets that enable self-service analytics and experimentation. - Implement monitoring, logging, and alerting to ensure pipeline reliability, performance, and cost efficiency. - Enforce data governance best practices, including access control, privacy, documentation, and data lineage. What You Will Need - 3+ years of experience as a Data Engineer, data-heavy Backend Engineer, or similar role. - Strong programming skills in Python and/or TypeScript, with solid SQL proficiency. - Good understanding of data modeling, ETL/ELT concepts, and analytics workflows. - Hands-on experience with data warehouses (e.g. BigQuery, Snowflake). - Experience building and operating production data pipelines. Nice-to-Have - Experience with cloud platforms (especially GCP). - Exposure to streaming systems (Kafka, Pub/Sub). - Familiarity with dbt and analytics engineering practices. - Experience with data lake technologies. - Exposure to ML data pipelines or feature stores. Why Join BJAK - Build and own data systems that operate at real scale - Work on high-impact, business-critical data use cases - High-ownership role with autonomy and trust - Flat structure - execution and results matter more than titles - Competitive compensation and strong growth opportunities

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE WHAT YOU WILL DO - Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP; - Develop and manage lakehouse layers and Delta Lake workflows using BigQuery and Dataproc; - Collaborate with stakeholders across data engineering, compliance, and business teams; - Design and implement pipelines to acquire, normalise, transform, and release large volumes of financial data; - Design and implement bitemporal data models on BigQuery for regulatory-grade time-series datasets; - Build and maintain testing frameworks for data pipelines and transformation logic; - Own end-to-end solutions including ingestion pipelines, QA workflows, correction management, and audit trails; - Contribute to shared platform services in a collaborative environment; - Support implementation of AI solutions including data ingestion, anomaly detection, and semantic search using Vertex AI. MUST HAVES - 6–8 years of experience in data engineering; - Proficiency in Python for data pipelines, transformation logic, and automation; - Proficiency in SQL with hands-on experience in BigQuery including partitioning, clustering, and time-series queries; - Experience with Cloud Composer (Apache Airflow) for pipeline orchestration; - Working knowledge of Dataproc (Apache Spark) for batch ingestion and incremental processing; - Experience with AI-assisted development tools such as GitHub Copilot or similar; - Experience with Git version control and collaboration workflows; - Familiarity with REST APIs for integrations; - Familiarity with GCP technologies (Cloud Storage, Pub/Sub, Datastream, Cloud Monitoring, IAM, VPC Service Controls); - Understanding of financial data concepts related to equities and& other asset classes; - Upper-intermediate English level. NICE TO HAVES - Knowledge of data libraries such as pandas or PySpark; - Experience with columnar storage and time-series analytics tools such as ClickHouse; - Familiarity with Dataplex for data governance and lineage; - Understanding of Change Data Capture (CDC) using Datastream; - Understanding of bitemporal data modeling concepts; - Knowledge of financial reference data such as equities, fixed income, or corporate actions; - Experience with BigQuery cost management techniques; - Experience with CI/CD pipelines and Terraform for infrastructure as code; - Exposure to LLMs and& Agentic AI using Vertex AI for data-related use cases. PERKS AND BENEFITS - Remote work & Local connection: Work where you feel most productive and connect with your team in periodic meet-ups to strengthen your network and connect with other top experts. - Legal presence in India: We ensure full local compliance with a structured, secure work environment tailored to Indian regulations. - Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness. - Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups.

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