• Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python. • Implement and maintain data solutions across the Azure Data Platform (Data Lake, Databricks, etc.). • Develop and maintain APIs supporting data ingestion, data sharing, and interoperability. • Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions. • Ensure data quality, security, and compliance across all solutions. • Integrate data solutions into existing business processes and cross-functional systems. • Continuously improve performance, cost-efficiency, and scalability of data systems.

• Own the end to end data platform including ingestion, transformation, storage, and consumption. • Design and maintain scalable, reliable, and cost efficient data pipelines. • Define and enforce data modelling standards including dimensional models and semantic layers. • Build and maintain dbt projects including models, tests, macros, and documentation. • Establish strong DataOps practices including CI/CD, automated testing, deployment workflows, and version control. • Implement and enforce data contracts, SLAs, and data quality standards. • Drive observability across the data platform including monitoring, alerting, lineage, and incident response. • Lead root cause analysis for data issues and eliminate systemic failures. • Optimise performance and cost across the data platform, with a strong focus on warehouse usage. • Partner with product, analytics, and engineering teams to define and deliver reliable data products. • Contribute to data platform strategy, architecture decisions, and tooling selection.

Requisition Number: 27692 Required Travel: 51 - 75% Employment Type: Part Time/Hourly/Non-Exempt Anticipated Salary Range: $106,124.00 - $150,000.00 Security Clearance: Ability to Obtain Level of Experience: Senior HI This opportunity resides with All-Domain Operations (ADO), a business group within HII’s Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 Summary HII-Mission Technologies is seeking an experienced and skilled Military Advisor- Big Data Analytics & Systems Engineer to provide expert guidance and support to our military clients! As a Military Advisor, you will be responsible for providing technical expertise, developing and delivering training programs, and conducting operational assessments. In this role, you will support large-scale data collection, processing, and analysis efforts focused on understanding population sentiment, digital trends, and information environments. The selected candidate will design and implement systems that capture, process, and analyze high-volume data from scraping, collection, and digital monitoring efforts. These insights will support programs designed to build situational awareness of the digital environment, identify emerging trends, and inform strategic messaging, engagement, and influence activities. This role combines data engineering, analytics, and digital environment analysis, requiring both technical expertise and the ability to translate large datasets into actionable insights. Come join our growing team today! *Position: Remote and part time. *Travel: This position requires episodic travel to OCONUS locations, often to remote and challenging environments. Expect deployments lasting several weeks to months at a time. Travel may include locations with limited infrastructure and security concerns. What you will do - Develop and maintain systems to capture and process large-scale datasets from scraping, automated collection, and external data feeds - Design data pipelines that ingest structured and unstructured data at scale - Manage ETL processes to clean, normalize, and integrate multiple data sources - Analyze large datasets to identify population sentiment, behavioral patterns, and digital engagement trends - Apply statistical analysis, machine learning, and natural language processing techniques to extract insights from text and social media data - Monitor shifts in online discourse and emerging narratives - Design and implement scalable big data architectures to support large analytical programs - Integrate data systems into platforms used for digital awareness and influence analysis programs - Ensure systems support high-volume processing and rapid analytical outputs - Translate complex datasets into actionable insights for program planners and decision makers - Develop dashboards, visualizations, and analytical reports - Support program efforts aimed at understanding information flows, messaging effectiveness, and audience behavior - Additional duties as assigned or required What we are looking for - 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience - Experience with large-scale data analytics and distributed data systems - Strong proficiency in Python and SQL - Experience working with large datasets from scraping, APIs, or automated collection systems - Experience designing data pipelines and big data processing workflows - Strong communication skills to translate analytics into operational insights - Excellent presentation and interpersonal skills - Ability to work effectively in a fast-paced, dynamic environment - Willingness to deploy up to 50% of the time as required by mission needs - Clearance: Must be able to obtain and maintain a Secret clearance Bonus points for... - Instructor experience, with a proven ability to develop and deliver effective training programs - Ability to identify patterns and insights in large, noisy datasets - Understanding of digital ecosystems and online behavioral trends - Experience building analytical tools for monitoring and assessing information environments - Experience with social media analytics or sentiment analysis - Experience applying natural language processing (NLP) to large text datasets - Experience with machine learning techniques for trend detection or classification - Experience with web scraping frameworks and large-scale data collection systems - Experience with distributed data environments such as Spark, Hadoop, or Kafka - Clearance: Possess and maintain a Secret clearance Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. HII is more than a job - it’s an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Data Engineer: Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company. The Community You Will Join: The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices. The Difference You Will Make: We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve. A Typical Day /Responsibilities: - Lead the design, implementation, and testing of data systems, from architecture to production. - Build batch and real-time data systems that support business needs and critical products. - Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices. - Design and optimize data models to efficiently meet business and product requirements. - Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions. - Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems. - Contribute to long-term data strategies and influence data engineering practices across the organization. - Mentor and guide team members, fostering best practices for data quality and governance. - Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage. Your Expertise: - 3+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale. - Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying. - Proven track record of designing and optimizing batch and real-time data pipelines. - Strong collaboration skills with the ability to work with product managers, data scientists, and engineers. - Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability. - Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts. - Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery). - Experience with integrating machine learning models into data systems (preferred). - Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies. - Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. India Annual Pay Range ₹3,050,000—₹4,350,000 INR