Design and deliver robust, high-scale routing experiences for Data Pipelines for Twilio Segment.
Operate always-available, complex distributed systems in cloud environments.
Collaborate cross-functionally with design, product, and other engineers to define solutions.
Twilio is shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. The company is remote-first with a strong culture of connection and global inclusion, and employs a diverse team of Twilions.
Design and deliver robust, high-scale data processing systems for Twilio's Segment customer data platform.
Collaborate with cross-functional teams to build and optimize globally available distributed systems.
Mentor engineers and act as a technical lead to ensure platform reliability and performance.
Twilio shapes the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. The company fosters a remote-first culture with a strong commitment to connection and global inclusion.
Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of data.
Develop distributed data processing applications using Apache Spark on Databricks and build real-time streaming pipelines with Apache Kafka.
Apply software engineering best practices to data pipelines including CI/CD, automated testing, and peer code review.
InPost is an e-commerce parcel delivery company that operates a network of Automated Parcel Machines (APMs) and pick-up points across nine European countries. Founded in 1999, the company employs thousands and fosters a diverse, international, and cross-functional culture with opportunities for growth and training.
Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases.
Optimize ETL/ELT workflows for performance, scalability, and fault tolerance, and develop dbt workflows for partner analysis.
Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products and support machine learning initiatives.
NinjaTrader is an industry-leading trading platform and futures broker that empowers traders with cutting-edge products and services. Since 2003, the company has grown to over 2 million users and is the number one rated futures brokerage worldwide, fostering a dynamic culture focused on social connection, professional development, and employee recognition.
Design and deliver scalable, low-latency streaming data solutions for real-time customer analytics.
Analyze business needs, optimize data models, and write clean code using Scala, Python, and SQL.
Mentor team members and optimize performance of data platforms like AWS Kinesis, Kafka, and Redshift.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide, unifying voice, SMS, WhatsApp, and AI. The company is a unicorn backed by world-class investors, with 45+ nationalities and a strong, collaborative culture.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Build and improve scalable, fault-tolerant, self-serve data infrastructure technologies to support ML and analytics workflows.
Own the Data Movement Platform for batch and stream data processing, and invest in building new infrastructure for Spark, Flink, and Airflow.
Collaborate with teammates on on-call responsibilities and monitoring/alerting to improve reliability, scalability, latency, and efficiency.
Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Architect and operate high-scale ingestion and data processing systems at Twilio Segment.
Lead the development of complex distributed systems ensuring reliability, performance, and cost-efficiency.
Translate technical strategies into actionable plans for diverse stakeholders including Product Managers and Architects.
Twilio is a communications platform that delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide. The company is remote-first with a strong culture of connection and global inclusion, employing a diverse team.
Design, build, and scale cloud-based data platforms that support critical business insights and operations.
Collaborate with cross-functional teams to extract, load, and transform data using cloud-native principles.
Mentor engineers and drive architectural direction through code reviews, testing, and documentation.
Credit Acceptance is a leading used car finance company in the United States. It has a world-class culture shaped by dedicated Team Members and a shared drive to succeed.
Design, develop, and maintain scalable data pipelines using Microsoft Azure services.
Build and optimize cloud-based data solutions with Azure Data Factory and Azure Data Lake.
Collaborate on cross-functional teams to translate business requirements into efficient data engineering solutions.
Jobgether is a job matching platform that uses AI to connect candidates with hiring companies. They operate remotely and focus on efficient, data-driven recruitment for partner companies.
Design and maintain scalable data pipelines for ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
Build workflows for processing unstructured data and develop semantic representations to enable advanced search, retrieval, and LLM-powered applications.
Collaborate with stakeholders to translate business requirements into scalable data and ML solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They use technology to review applications and share top-fitting candidates directly with employers, ensuring a fair and efficient hiring process.
Design and build scalable data pipelines, clean room environments, and privacy-safe integrations for NBCUniversal’s data collaboration ecosystem.
Implement identity resolution logic and configure secure, role-based access controls across data platforms.
Optimize query performance and operational reliability, including monitoring, cost tracking, and incident response.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming. A subsidiary of Comcast Corporation, it champions an inclusive culture and has a rich tradition of community service.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.
Design, implement, and maintain ETL/ELT pipelines for clean, scalable data flows across multiple systems.
Own data warehouse architecture, including partitioning, access controls, and security in partnership with Security and Infrastructure teams.
Champion data quality and governance, building dashboards and analytics to deliver actionable insights for leadership and cross-functional teams.
CertifID protects life's largest transactions from fraud, helping title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. They are a growth-minded team passionate about securing sensitive data and transforming fraud prevention.
Design large-scale data processing systems and own projects end-to-end.
Analyze and improve the efficiency, scalability, and stability of applications.
Identify and remove unnecessary complexity in data pipelines and systems.
OpenX is focused on unleashing the full economic potential of digital media companies through advertising marketplaces and technologies. The company is a high-scale, growing team that values ownership, humility, and continuous learning.
Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.
Design and build scalable components for high-throughput data ingestion and processing.
Develop systems for storing and serving batch data, and contribute to API services and event-driven applications.
Optimize data storage and retrieval for high throughput, security, and ease of access, and mentor peers.
Phaidra builds AI-powered control systems for industrial facilities, using reinforcement learning to optimize automation. The company is fully remote with a global team of around 100+ employees, emphasizing a culture of transparency, collaboration, ownership, and empathy.
Design, build, and operate high-scale data ingestion and replication systems from production data stores into the data lakehouse.
Build and maintain reliable, scalable data platform infrastructure capable of handling petabytes of data across analytics, AI, and operational use cases.
Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams move and access data safely.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a publicly traded company, Samsara fosters a growth-oriented culture and serves industries that represent over 40% of global GDP.
Design and develop server-side systems for the GEO tech team, owning core backend module implementation.
Build and maintain automation tools and data pipelines supporting large-scale data processing.
Collaborate with cross-functional teams to align requirements and define technical solution boundaries.
We are a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in more than 100 countries, we are committed to advancing the freedom of money and improving financial access.