• Design, develop, and maintain robust enterprise data warehouse solutions that support data science, artificial intelligence, and business intelligence requirements. • Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics-ready formats. • Build and manage API integrations, including hands-on API development. • Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows. • Use Microsoft Fabric notebooks for transformation and orchestration where appropriate, leveraging Lakehouse and Warehouse for supplemental storage. • Ensure high data quality, integrity, and performance through meticulous query tuning and process optimization. • Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs. • Translate business requirements into technical solutions and coordinate smoothly between engineering and other teams. • Lead the creation of scalable, reliable data models and optimize them for performance and usability. • Drive continuous improvement in data engineering processes and practices to keep them efficient and aligned with industry best practices. • Monitor system performance and proactively implement improvements to maximize efficiency and scalability. • Troubleshoot and resolve data-related issues to ensure reliable data delivery.

Role Description Under the supervision of the Senior Algorithms Technician, the Ground Truther/Data Labeler is responsible for reviewing X-ray images and manually identifying and labeling objects to support the Company’s machine learning initiatives. Accurately labeled images serve as the foundation for training and validating machine learning models. This position will receive training on the Company’s Truthing Software and established labeling standards. To excel in this role, you must possess strong attention to detail, maintain a high level of accuracy, and communicate effectively. Qualifications - Minimum commitment of 10 hours per week. - Strong written communication skills. - Basic computer proficiency and ability to learn new software applications. Requirements - Must provide and maintain a personal computer capable of running the required software; Company equipment will not be provided. - Strong attention to detail and ability to perform repetitive tasks with accuracy. - Ability to work independently while following written procedures and instructions. - Must maintain a reliable internet connection. Benefits - Part-Time - Flexible scheduling based on project needs. - Fully remote position. Company Description SURESCAN Corp. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, veteran status, gender identity or expression, or any other basis protected by local, state, or federal law. This policy applies regarding all aspects of one’s employment, including hiring, transfer, promotion, compensation, eligibility for benefits, and termination.

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 Data Engineer, you'll build the data foundation that powers regulatory reporting, financial operations, and intelligent experiences across our platform. You'll design and scale modern data infrastructure that transforms complex transactional data into trusted, reporting-ready datasets, helping teams make confident decisions while meeting evolving regulatory requirements. Working across Engineering, Compliance, Analytics, and business teams, you'll solve complex technical challenges, influence the evolution of our data architecture, and help shape the next generation of AI-powered capabilities. What you'll do as a Senior Data Engineer - Build scalable, high-performance data infrastructure that transforms complex transactional and financial data into trusted datasets for regulatory reporting and business operations. - Develop reliable data pipelines and data products that power regulatory reporting, financial operations, analytics, and operational insights while ensuring data accuracy and reliability. - Design, build, and optimize modern data models and distributed data pipelines. - Leverage AI throughout the software development lifecycle to improve engineering productivity, strengthen data quality, and build trusted data products. - Collaborate with cross-functional stakeholders to translate complex business and regulatory requirements into scalable, analytics-ready data models and solutions. - Mentor Data Engineering teammates by sharing best practices, providing technical guidance, and helping raise engineering standards across the team. - Collaborate in an agile environment to deliver scalable data solutions that support evolving business and regulatory needs. What you'll bring - At least 3 years of experience designing, building, and maintaining scalable data platforms and distributed data systems. - Strong proficiency in Python and SQL, with hands-on experience developing both real-time and batch data processing solutions. - Experience with modern cloud-based data platforms using technologies such as Snowflake, Databricks, Kafka, or similar distributed data processing and streaming technologies. - Experience with cloud infrastructure, preferably Amazon Web Services (AWS), as well as tools such as Terraform, Datadog, and PagerDuty. - A strong understanding of data warehousing, data lakes, ETL frameworks, distributed data processing, and modern data modeling techniques. - Experience building trusted data solutions that support financial operations, regulatory reporting, auditability, reconciliation, or other highly governed data domains. - Hands-on experience with AI-assisted engineering tools such as Claude Code, Codex, or similar technologies. - Fluency in English. #LI-GS1 #LI-REMOTE 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.

• Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows. • Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning. • Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data. • Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements. • Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation. • Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.