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.
At Atlassian, they're motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet and their solutions are designed for all types of work. They ensure that their products and culture continue to incorporate everyone's perspectives and experience, and never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Drive automation through effective metadata management.
Learn and apply modern data preparation and integration techniques.
Jobgether uses an AI-powered matching process to ensure candidate applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Design, build, and optimize ETL/ELT workflows using Databricks, SQL, and Python/PySpark.
Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets.
Collaborate with cross-functional teams to deliver impactful data solutions.
Jobgether is an AI-powered platform that helps job seekers find suitable opportunities. They connect top-fitting candidates with hiring companies, streamlining the recruitment process through objective and fair assessments.
Design and build robust data pipelines that integrate data from diverse sources.
Build streaming data pipelines using Kafka and AWS services to enable real-time data processing.
Create and operate data services that make curated datasets accessible to internal teams and external partners.
Quanata aims to ensure a better world through context-based insurance solutions. It is a customer-centered team creating innovative technologies, digital products, and brands, backed by State Farm, blending Silicon Valley talent with insurer expertise.
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.
Design, develop, test, and maintain scalable applications using modern frameworks.
Actively participate in Agile/Scrum ceremonies, contributing to planning, estimation, and continuous improvement.
Contribute to architectural design discussions, test planning, and operational excellence initiatives.
Tealium is a trusted leader in real-time Customer Data Platforms (CDP), helping organizations unify their customer data to deliver more personalized, privacy-conscious experiences. Team Tealium has team members present in nearly 20 countries worldwide, serving customers across more than 30 countries, winning together with respect and appreciation.
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.
Build & Operate Data Pipelines, using AWS-native data tools and distributed processing frameworks.
Operate and improve core data platform services, addressing incidents, performance issues, and operational toil.
Partner with data producers and consumers to onboard pipelines, troubleshoot issues, and improve platform usability.
Fetch is a platform where millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. With investments from SoftBank, Univision, and Hamilton Lane, and partnerships with Fortune 500 companies, it is reshaping how brands and consumers connect in the marketplace. Ranked as one of America’s Best Startup Employers by Forbes, Fetch fosters a people-first culture rooted in trust, accountability, and innovation.
Design, build, and maintain scalable, high-quality data pipelines.
Implement robust data ingestion, transformation, and storage using cloud-based technologies.
Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.
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 partnerships with more than 1,000 clients and value diversity, fostering a diverse, inclusive, and safe work environment.
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.
Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
TRM is a blockchain intelligence company on a mission to build a safer financial system. They are a lean, high-impact team tackling critical challenges, and they empower governments, financial institutions, and crypto companies.
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.
Bridge the gap between application engineering and data infrastructure.
Own the optimization of high-volume data pipelines and tune operational databases.
Define how to ingest massive bursts of medical information, model it for transactional locking, and transform it for analytical querying.
Synthesis Health is a mission- and values-driven company with tremendous dedication to its customers. The 100% remote team is dedicated to revolutionizing healthcare through innovation, collaboration, and commitment to its core values and behaviors.
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.
Optimize SQL queries to maximize system performance.
RefinedScience is dedicated to delivering high-quality emerging tech solutions. While the job description does not contain company size or culture information, the role seems to value innovation and collaboration.
Designing and maintaining scalable, secure data pipelines that feed BigQuery from diverse sources
Owning our infrastructure-as-code setup using Terraform
Automating data QA, modeling, and maintenance tasks using scripting and AI
TheyDo helps enterprises align around their customers with an AI-powered journey management platform, fostering smarter decisions and enhanced experiences. With $50M backing and a global team across 27 countries, TheyDo champions a customer-led, people-first culture.
Design, implement, and optimize robust and scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
Enhance our overarching data architecture strategy, assisting in decisions related to data storage, consumption, integration, and management within cloud environments.
Partner with data scientists, BI teams, and other engineering teams to understand and translate complex data requirements into actionable engineering solutions.
The New York Blood Center appears to be a medical organization. They are looking for a Senior Data Engineer to join their team.
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.
Architect and lead the evolution of our modern data platform.
Design and build production LLM pipelines and infrastructure that power intelligent operations.
Own end-to-end data acquisition and integration architecture across diverse sources.
Brightwheel is the largest, fastest growing, and most loved platform in early ed. They are trusted by millions of educators and families every day. The team is passionate, talented, and customer-focused and embodies their Leadership Principles in their work and culture.