Role Description We're partnering with a growing organisation looking to expand its data team with the addition of a Data Engineer. This is an opportunity to work on a range of data projects, helping to build and optimise modern data solutions that support reporting, analytics, and business decision-making. You'll work closely with both technical and non-technical stakeholders, contributing to the development of scalable data platforms and pipelines while supporting the ongoing evolution of the organisation's data capabilities. - Develop and maintain data pipelines and integration solutions - Support the design and enhancement of cloud-based data platforms - Work with stakeholders to understand and deliver data requirements - Improve data quality, reliability, and performance - Contribute to data architecture and best practice initiatives - Support the delivery of data-driven projects across the business Qualifications - Experience working as a Data Engineer or in a similar data-focused role - Strong SQL and Python skills - Experience building and maintaining data pipelines - Exposure to cloud technologies such as AWS, Azure, or GCP - Understanding of data warehousing - Strong problem-solving and stakeholder engagement skills - Commercial experience working with modern data platforms Benefits - Fully remote working - Competitive salary and benefits package - Exposure to modern technologies and data projects - Flexible working - Opportunities for professional development and progression Company Description

Role Description We are looking for a Data Engineer to join our team. This role is fully remote and offers a direct long-term contract. - Location: Remote - Contract Type: Direct Contract - Long term - Payment: USD 5000 Qualifications - Strong experience with Python - Strong Software Engineering fundamentals like SOLID principles - Experience with containerized deployments in cloud environments (Docker, Kubernetes, EKS, etc.) - Experience working with varied data types and building robust data pipelines (nice to have) - Team player with a collaborative mindset - Comfortable in a dynamic startup environment - Experience in building and maintaining data infrastructure and pipelines in production - Growth mindset focused on continuous learning - Excited to learn about Machine Learning (nice to have) Requirements - Enjoy working on a team where code and software engineering processes are communal property - Dedicated to finding the right way to build software and continually improve - Excited about learning new things every day Benefits - Flexible work - work from home or use the Brooklyn office at your convenience - Project day - One day per month spent on whatever you think is important - Fitness stipend, commuter benefits - Business English language courses for employees in Argentina - Travel to team events and in-person all-hands - Technical books, VPN Access, high-end work computer, etc. Company Description We are a continuous multifactor authentication company that monitors biometric behavior to provide zero-interruption MFA. Our team consists of PhD machine learning experts and experienced professionals in enterprise applications and cybersecurity. - We use passive biometrics and machine learning to automate user identity - Our mission is to fundamentally change secure human-computer interaction - We launched with the United States Department of Defense as our first customer - We are a young, hungry, and well-funded company, offering a unique opportunity to join a driven engineering team

• Design, develop, and manage scalable data warehouse and data lake systems, both on-premises and in the cloud • Implement and maintain data modeling frameworks using UML and other design tools • Build and maintain ETL/ELT data pipelines to integrate diverse data sources • Ensure real-time and batch data ingestion, transformation, and loading • Ensure data accessibility, performance, and usability by optimizing query performance and addressing latency issues • Build and optimize data validation processes and analytical tools to support data-driven decision-making • Develop data governance methodologies, including data glossary, security protocols, and access management • Ensure compliance with internal and external data standards and regulations • Collaborate with cross-functional teams (data science, business intelligence, product management) to understand business needs and translate them into technical specifications • Provide technical guidance and mentorship to junior data engineers • Design and implement monitoring and alerting systems to ensure data quality, system stability, and optimal performance • Proactively address technical challenges and system limitations to prevent downtime

Role Description We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across our organization. This role will focus on building reliable, high-performance data pipelines and modern data architectures that enable trusted, accessible, and actionable data. The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives. - Design, build, and maintain scalable data pipelines and ELT/ETL workflows. - Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications. - Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets. - Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets. - Design and implement data quality, validation, and monitoring processes. - Support both batch and near real-time data integration requirements. - Develop APIs and data services that enable internal and customer-facing applications. - Optimize data pipeline performance, scalability, and cost efficiency. - Document data architectures, pipeline processes, and engineering standards. - Evaluate emerging technologies and recommend improvements to the organization's data platform. - Mentor team members and help establish engineering best practices. Qualifications - 7+ years of experience in Data Engineering, Software Engineering, or a related field. - Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake. - Strong proficiency with Python and data engineering development practices. - Experience designing and maintaining large-scale ELT/ETL pipelines. - Strong understanding of data modeling, data warehousing, and distributed data architectures. - Experience integrating structured and semi-structured data from multiple internal and external sources. - Familiarity with data orchestration and transformation frameworks. - Strong troubleshooting and performance optimization skills. - Excellent communication and stakeholder management skills. - Ability to work independently while managing multiple initiatives. Preferred Qualifications - Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer, telematics, finance, aftermarket, or mobility datasets. - Experience with dbt and modern analytics engineering workflows. - Experience with streaming technologies and event-driven architectures. - Experience supporting Business Intelligence, Data Science, and AI initiatives. - Familiarity with machine learning data pipelines and feature engineering concepts. - Experience working in a remote-first environment. Requirements - Compensation commensurate on experience. - Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. Next Steps - If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. - Local and remote candidates (living within Eastern or Central Time Zone) will be considered. - No relocation assistance provided for this position. - NO PHONE CALLS PLEASE. Company Description Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo™ technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue. Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount. Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.