Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.
Create innovative solutions for handling peta-bytes of data with billions of rows & joins.
Create real time and offline features generation pipelines to managing our data infrastructure to be reliable and fast!
Develop and productionize data pipelines for our ML models in both bare-metal and the cloud environment.
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. They enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through their self-serve and managed service options.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. The company celebrates its diversity and is looking to do the right thing: for each other, the community and the planet.
Design, develop, and maintain scalable data pipelines using cloud data services.
Serve as a technical leader, defining data engineering standards and best practices.
Lead the design and implementation of optimized data models in our cloud data warehouse.
Constant Contact empowers people by giving them the help and tools they need to grow online. They are energized by new challenges and possibilities, and they celebrate diversity and inclusion with programs in place to bring people together.
Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
Turquoise Health aims to make healthcare pricing simpler, more transparent, and lower cost. They are a Series B startup backed by top VCs with an accomplished group of folks with a passion for improving healthcare.
Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data.
Design, build, and optimize large‑scale ingestion and transformation pipelines capable of processing petabyte‑scale autonomous‑driving sensor data.
Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets.
Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family. They are focused solely on developing software for automated trucks to transform how the world moves freight and have a collaborative, energetic, and team-focused culture.
Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
Gopuff is reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. They are assembling a team of thinkers, dreamers and risk-takers who know the value of peace of mind in an unpredictable world.
Design and implement scalable data architectures to support business needs.
Build and optimize data pipelines, ensuring data accessibility and security.
Develop and maintain data models, databases, and data lakes, with robust data governance.
Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.
Design and build mission critical data pipelines with a highly scalable distributed architecture.
Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders.
Build and support reusable framework to ingest, integration and provision data
StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. They employ 1,000 people across offices and verification centers around the world and their platform connects buyers and sellers using dynamic pricing mechanics.
Build and maintain robust data pipelines processing large volumes of data
Update and optimise our data platform for speed, scalability and cost
Develop processes and tools to monitor and analyse model performance and data accuracy
Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. They processed $182 billion in 2023 and are Nigeria’s largest merchant acquirer, cultivating a culture of innovation, teamwork, and growth.
Design, build, and maintain data products that support R&D, analytics, Lab, and scientific workflows.
Build and maintain data pipelines for large and complex datasets ensuring high data quality.
Partner with scientists and engineers to translate research needs into reusable data assets.
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. They aim to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
Applying engineering and business concepts to design and develop analytical models and statistical techniques for mission critical datasets.
Develop and implement KPI calculations, baselines, thresholds, and aggregations for time-series and event-based data.
Work with and analyze facility operations datasets, including maintenance logs, system hierarchies, sensor data, and industry standards.
Edged is a fast-growing global network of carbon neutral, zero-water data centers that lead the industry in energy efficiency. The Edged platform is backed by a deep technology stack including advanced waterless cooling, renewable microgrid systems, ultra-clean generators and waste-to-fuel solutions.
Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion.
Implement data quality checks, monitoring, and validation processes.
Automate manual processes into centralized and scalable solutions.
Informa TechTarget accelerates growth from R&D to ROI, informing and connecting technology buyers and sellers. They are a vibrant community of over 2000 colleagues worldwide and traded on Nasdaq as part of Informa PLC.
Design, build, and maintain scalable data pipelines.
Develop and optimize ETL/ELT processes using cloud data technologies.
Partner with teams to understand data requirements and improve data capture strategies.
Blueprint is a technology solutions firm with a strong presence across the United States, solving complicated problems for their clients. They are bold, smart, agile, and fun, and believe in unique perspectives, building teams of people with diverse skillsets and backgrounds.
Implement the core components of our data platform, including data modeling, pipelines, and retrieval-ready storage layers.
Build operationally excellent systems, incorporating automated testing, deep observability, and robust failure handling.
Model complex business domains by defining clear entities, event histories, and reusable datasets that reflect real-world logic.
Campminder provides digital transformation solutions to the summer camp industry. The company has 85+ employees and is known for its values-led culture and employee experience, having been listed on Outside Magazine’s 50 Best Places to Work for 8 consecutive years.
Design, implement, and maintain robust, scalable data pipelines to support AI, analytics, and operational reporting
Own and evolve the data warehouse architecture, ensuring it meets performance, flexibility, and governance needs
Ensure data integrity, availability, lineage, and observability across complex pipelines
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to compliantly hire anyone anywhere at the push of a button. They are a growing, international family.
Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team.
Coach & mentor other engineers to support the growth of their technical expertise.
Implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.
YLD is a software engineering and design consultancy that creates digital capabilities for their clients. The company has offices in London, Lisbon, and Porto and aims to attract, inspire, develop, and retain extraordinary people.
Understand the full picture and help operations with monitoring and dashboards.
I am sorry, but the company description is not available in the job posting. It is missing details about the company's activities, size, employee count and culture.
Manage and guide data teams with hands-on experience to execute on enterprise data strategy.
Provide technical guidance for the team, raise the bar on the latest data technologies, and mentor data resources.
Design, develop, and implement end-to-end EDW data processing encompassing multiple Data Marts.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They are one team that embraces diverse perspectives and rewards talented professionals with a competitive salary and a variety of benefits.