Play a Sr.tech lead & architect role to build world-class data solutions and applications that power crucial business decisions throughout the organization.
Enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture.
Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations.
Projetar, desenvolver e manter pipelines de dados (batch e streaming) para ingestão, transformação e disponibilização de dados para analytics e consumo por aplicações.
Construir e evoluir modelagem analítica (camadas bronze/silver/gold, data marts, star schema, wide tables), garantindo consistência, documentação e reuso.
Implementar boas práticas de qualidade de dados (testes, validações, contratos, SLAs/SLOs, monitoramento de freshness/completeness/accuracy) e atuar na resolução de incidentes com RCA.
CI&T specializes in technological transformation, combining human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they have partnered with more than 1,000 clients during their 30 years of history.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the data collection.
Develop and maintain robust data pipelines and workflows for data ingestion and transformation.
Reddit is a community-driven platform built on shared interests and trust, fostering open and authentic conversations. With over 100,000 active communities and approximately 116 million daily active unique visitors, it serves as a major source of information on the internet.
Lead product requirements and advanced analytics requirements gathering efforts.
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
Build a scalable technology platform to support a growing business and deliver high-quality code to production.
Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.
Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models
Build, maintain, and improve rock-solid data pipelines using a broad range of technologies like AWS Redshift, Trino, Spark, Airflow, and Kafka streaming for real-time processing
Support teams without data engineers in building decentralised data solutions and product integrations, for example, around DynamoDB Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation
OLX operates consumer brands that facilitate trade to build a more sustainable world. They have colleagues around the world who serve millions of people every month.
Lead a world-class data engineering practice, shape up technical strategy and data architecture.
Develop data products to enable reporting, analytics, data science, machine learning, and AI workloads.
Partner with IT, data platform, product engineering, analytics teams and data scientists to support multiple programs.
Atlassian's software products help teams all over the planet, and their solutions are designed for all types of work. They believe that the unique contributions of all Atlassians create their success and value a culture that incorporates everyone's perspectives and experience.
Design, build, and maintain scalable data pipelines.
Develop and implement data models for analytical use cases.
Implement data quality checks and governance practices.
MO helps government leaders shape the future. They engineer scalable, human-centered solutions that help agencies deliver their mission faster and better. They are building a company where technologists, designers, and builders can serve the mission and grow their craft.
Re-architect the data warehouse and drive the expansion of our data platform.
Migrate data pipelines to a modern architecture, improving governance, and enabling better internal data sharing.
Lead a high-performing data engineering team by driving collaboration, growth, and accountability.
Engine is transforming business travel into something personalized, rewarding, and simple. They are building a platform that brings together corporate travel, a charge card, and modern spend management in one place and more than 20,000 companies already rely on Engine. Engine is cash flow positive with rapid growth and has been recognized as one of the fastest-growing travel and fintech platforms in North America.
Architect and maintain scalable, secure, and high-performing data pipelines to support analytics, reporting, and operational needs.
Develop and deploy production-grade data engineering code, ensuring reliability and performance across environments.
Manage end-to-end data workflows, including ingestion, transformation, modeling, and validation for multiple business systems.
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, they have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe.
Architect, design, implement, and operate end-to-end data engineering solutions.
Develop and manage robust data integrations with external vendors.
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams.
SmartAsset is an online destination for consumer-focused financial information and advice, helping people make smart financial decisions. With over 59 million people reached each month, they operate SmartAsset Advisor Marketing Platform (AMP) to connect consumers with fiduciary financial advisors.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats
Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis
ATPCO is the world's primary source for air fare content. They hold over 200 million fares across 160 countries and the travel industry relies on their technology and data solutions. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.
Design, build, and operate scalable data pipelines using batch and real-time processing technologies.
Build data infrastructure that ingests real-time events and stores them efficiently across databases.
Establish and enforce data contracts with backend engineering teams by implementing schema management.
Fetch provides a platform where millions of people earn rewards for buying brands they love. They have received investments from SoftBank, Univision, and Hamilton Lane and partnerships ranging from challenger brands to Fortune 500 companies. Fetch fosters a people-first culture rooted in trust, accountability, and innovation.
Set the technical direction for the data engineering team and own the strategy of the data platform.
Lead a team of data engineers while staying hands-on with architecture decisions and technical leadership.
Maintain and build feature stores and ML infrastructure to power machine learning models.
Vivian Health empowers every healthcare professional to find their perfect job faster and easier than ever before. As the largest healthcare jobs marketplace, they support over 2 million clinicians in finding their next career opportunities and is backed by world-class investors, including Thoma Bravo and IAC.
Collaborate with business leaders, engineers, and product managers to understand data needs.
Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
NBCUniversal is one of the world's leading media and entertainment companies that creates world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Build and evolve our semantic layer, design, document, and optimize dbt models.
Develop and maintain ETL/orchestration pipelines to ensure reliable and scalable data flow.
Partner with data analysts, scientists, and stakeholders to enable high-quality data access and experimentation.
Customer.io's platform is used by over 7,500 companies to send billions of emails, push notifications, in-app messages, and SMS every day. They power automated communication and help teams send smarter, more relevant messages using real-time behavioral data; their culture values empathy, transparency, and responsibility.
Oversee the design, development, implementation, and maintenance of all data-related systems.
Build and maintain scalable and reliable data pipelines, ensuring data quality and consistency across all systems.
Collaborate with data scientists, business analysts, and other stakeholders to identify data-related needs and requirements.
MoneyHero Group is a market-leading financial products platform in Greater Southeast Asia, reaching millions of monthly unique users and working with hundreds of commercial partners. They have a team of over 350 talented individuals and are backed by world-class organizations and companies.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
Implement and maintain data quality measures throughout the data lifecycle
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Design and develop data integration pipelines across cloud and legacy systems.
Lead and support data engineering implementation efforts.
Apply advanced analytics techniques to support business insights and decision-making.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company, with the final decision managed by the internal team.
Lead the design and implementation of scalable distributed systems based on Java microservices.
Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS.
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies.
PointClickCare is a leading health tech company that's founder-led and privately held, empowering employees to push boundaries, innovate, and shape the future of healthcare. Recognized by Forbes and honored as one of Canada’s Most Admired Corporate Cultures, they offer flexibility, growth opportunities, and meaningful work.
Architect and maintain robust data pipelines to transform diverse data inputs.
Integrate data from various sources into a unified platform.
Build APIs with AI assistance to enable secure access to consolidated insights.
Abusix is committed to making the internet a safer place. They are a globally distributed team that spans multiple countries and thrives in a culture rooted in trust, ownership, and collaboration.
Partner with clients and implementation teams to understand data distribution requirements.
Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.
Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.