Role Description Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world! You will be joining the Data Engineering Community that specializes in data pipeline and structure design within a matrix style organization. This community serves as the connective tissue for aligning data strategy, sharing best practices, and accelerating innovation across diverse product-focused initiatives. You will be working on the Data Visualization product team building reporting engines that surface insights from our product. Responsibilities - Create sustainable data contracts that address data governance requirements. - Model complex data sources into performant analytics. - Create and manage a data transformation layer that can become a core part of our analytic process. - Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products. - Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation. Qualifications - 5+ years of data engineering experience. - Experience dimensional modeling and working with incremental data models. - Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability. - Software development skills in Go, JVM-family, Python, and/or Node.js languages with cloud-native architectures. - Experience manipulating, processing, and extracting value from medium-to-large scale datasets, especially relevant if cybersecurity or industrial data. - Knowledge of integrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker. - Experience with message queuing, stream processing on deployable infrastructure. - Detailed domain familiarity and prior experience in at least one data-heavy field / product market segment, especially relevant if knowledgeable in cybersecurity threat detections, threat intelligence, or ICS/OT operations. Compensation - Salary: $165,000 - Competitive Equity Package - Comprehensive Benefits Plan Company Description Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.

• Recruiting and building the highly effective team. • Ensure high utilization for team members by timely staffing projects and other engagements. • Engages with Go-to-market and Account teams to understand customer requirements and expectations. • Regular checkpoints with team members. • Giving regular feedback and recognizing good performance. • Being a role model for the team; promoting integrity and processes. • Building team atmosphere and ensuring members well-being. • Developing and maintaining team operating rhythm. • Proactively participate in improving competency unit in Lingaro. • Helping team members to achieve high customer satisfaction on their tasks. • Collaborate with ADMs on offers effort estimation and costing. • Ensuring profitability on a team at and individual level. • Be able to work in at least one of the following roles: Data Engineering Tech Lead, Data Engineering Architect, Solution Architect, Business Analyst, Engagement Manager, Project Manager.

Role Description Woolpert is hiring a Geophysical Data Processing Specialist to our Geospatial Maritime Data Processing Team. This position is eligible for remote work, although the team supports most projects on the west coast on Pacific Time. Projects this team typically support include: - Private sector oil & gas - Offshore wind - Environmental remediation - Object detection - Cable route design - Utility detection - Pipeline crossings - Offshore platform and utility inspection surveys The data processing team supports the hydrographic and marine geophysical survey teams within the United States. Work travel and field work is not required. Work duties include data processing for our primary survey tools: - Magnetometer - Sub-bottom profiler - Side scan sonar - Multibeam Multisystem projects are typical; therefore, although the candidate should have a background processing geophysical data, the data processor will supplement with multibeam ~50% of the time to support all projects. Qualifications - Bachelor’s degree in surveying, geomatics, environmental science, ocean engineering, geology, geography, geophysics, oceanography, spatial science, marine science or comparable field. Requirements - Minimum 2 years of experience processing marine geophysical and hydrographic data such as marine magnetometer, sub-bottom, side scan, and multibeam. - Skill sets would include a basic workflow: converting data, importing data, applying filters where needed, ferrous feature detection, sub-surface anomaly detection, and a general understanding of sub-surface horizon mapping. - Experience using geophysical data processing software such as SeaView, SonarWiz, Kingdom, or Oasis Montaj. - Experience using hydrographic data processing software such as QINSy, CARIS, EIVA, or Beamworks. Preferred Experience and Qualifications - A foundation in hydrographic and geophysical data collection is not mandatory but is preferred. - Experience using Global Mapper, ArcGIS, or AutoCad Civil3D. - Experience with 3D visualization. Benefits - Base pay offered may vary depending on job-related knowledge, skills, and experience. - Pay Range: $80,000 - $110,000 USD.

Role Description We are looking for a Senior Data Engineer to join a high-impact project focused on accelerating a Microsoft Fabric migration initiative. This is a hands-on role where you will play a key part in designing, building, and migrating data solutions into a modern data platform leveraging Microsoft Fabric and the Azure ecosystem. You will work closely with the Data leadership team to help execute a near-to-long-term data roadmap. - Lead and support the migration of existing data platforms into Microsoft Fabric - Design and implement scalable data pipelines and workflows - Build and optimize data models within a Lakehouse architecture - Work with large datasets, ensuring performance, reliability, and data quality - Collaborate with stakeholders to translate business requirements into technical solutions - Contribute to the evolution of the organization’s modern data platform - Ensure best practices in data engineering, governance, and security Qualifications - 5+ years of experience in Data Engineering - Strong experience with Azure Data Services (Data Factory, Synapse Analytics, Data Lake, etc.) - Hands-on experience with Microsoft Fabric (highly preferred) or strong willingness to ramp up quickly - Advanced SQL skills and solid experience with Python - Experience building and managing ETL/ELT pipelines - Strong understanding of modern data architectures (Lakehouse, Medallion, etc.) - Experience working in cloud-based environments (Azure required) - Proven experience in data platform migrations or large-scale data transformations Requirements - Experience with Power BI and semantic models (nice-to-have) - Familiarity with Delta Lake (nice-to-have) - Experience in Agile environments (nice-to-have) - Exposure to data governance and data quality frameworks (nice-to-have) Benefits - 100% remote from anywhere - Competitive compensation in USD - Training allowances for upskilling - Work with global teams and top-tier clients - Home-office hardware setup - PTO for recharge and balance - People-first culture built on trust, autonomy, and impact Compliance & Equal Opportunity Launchpad is an equal opportunity employer committed to creating an inclusive environment for all applicants. We do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, age, disability, or any other protected status under applicable laws in Canada and British Columbia. All candidate information will be handled confidentially and used solely for recruitment purposes in accordance with applicable privacy regulations.