Dropbox
Lead data strategy, architecture, and governance to support company growth and innovation. Collaborate across teams to deliver scalable, efficient data solutions and insights.
Staff Engineer (Tech Lead) for Reddit Pro team, leading cross-functional teams to deliver high-quality products and features.
Phantom
Join Phantom as a Security Engineer and contribute to the development of a secure self-custodial wallet for the crypto ecosystem.
Scribd
Senior Security Engineer at Scribd: Configure and integrate security tooling, analyze security findings, and perform incident response.
Nuna
Design and implement scalable data platforms for value-based care at Nuna. Work on production-hardened systems, mentor junior engineers, and collaborate with a team to drive innovation in healthcare technology.
Wealthfront
Design and maintain core datasets at Wealthfront, collaborate with cross-functional teams, ensure high-quality data for impactful decision-making, and contribute to building a best-in-class data infrastructure.
Goodnotes
Data engineer position at Goodnotes, building data pipelines and analytics infrastructure with expertise in ETL, ELT, distributed systems, and big data solutions.
Kueski
Data Engineer en Kueski: Diseña soluciones sólidas y escalables basadas en datos para respaldar las necesidades a largo plazo de los consumidores de datos. Salario competitivo, bienestar y tiempo de trabajo flexible.
Workiva
Design and develop scalable data pipelines using Airbyte, Kafka, and Snowflake. Build modular transformations with dbt and optimize data serving layers for high-performance data products. Collaborate with cross-functional teams and drive innovation in data engineering technologies at Workiva.
Trafilea
Build and maintain data pipelines using Apache Airflow and AWS technologies at Trafilea. Collaborate with architects to ensure best practices in data engineering while contributing to the company's growth through scalable solutions.
Zencore
Join Zencore as a Data Engineer to leverage your expertise in Google Cloud and cloud-native tools to help companies transform their data infrastructure. Work with cutting-edge technologies like BigQuery, Snowflake, Spark, Hadoop, and Apache Airflow while collaborating with innovative teams. Enjoy competitive compensation and remote work flexibility.
Coursera
Join Coursera's Data Engineering team as a Senior Data Engineer and shape the future of data-driven decision-making.
Swapcard
Senior Data Engineer for AI-powered event platform with 5+ years of experience in ETL, transformation pipelines, and workflow orchestrators.
Sanity io
Data Engineer at Sanity.io: Design scalable ETL/ELT pipelines, collaborate with teams, and establish best practices for data ingestion and transformation.
Goals
Senior UI Engineer for fair football game development, focusing on intuitive interfaces, collaboration, and performance optimization.
CoinsPaid
Senior Golang Engineer for crypto payment gateway development
Twilio
Twilio is looking for a Senior Strategic Sales Account Executive to drive growth in the EMEA region through strategic account management and sales of complex technical solutions.
G-P
IT Automation Engineer for SaaS applications, automation scripts, and computer vision features using tools by Roboflow
Wealthsimple
IT Automation Engineer at Wealthsimple: design & deploy automations, SaaS integrations & workflows across Wealthsimple's suite of products.
GuidePoint Security
Vulnerability Management Engineer job at GuidePoint Security, requiring 5+ years of infosec experience and Tenable expertise.
Dropbox
We are seeking a Principal Engineer to shape our data infrastructure and strategy. You will drive the strategic direction of our data platforms, collaborate with cross-functional teams, ensure data reliability and security, and enable data-driven decision-making. This role offers a significant impact on our business platform while working with a talented team.
We are seeking a highly skilled and visionary Principal Engineer to play a central role in shaping the data infrastructure and strategy within our Business Platform organization. As a Data Architect, you will be responsible for driving the strategic direction, development, and optimization of our data platforms. You’ll collaborate with cross-functional stakeholders across engineering, data science, product, marketing, and finance to ensure that data is reliable, secure, and serves as a cornerstone of our company’s decision-making.
Our mission is to deliver the right data with the right controls through best-in-class data management, ensuring data quality, discoverability, and availability across the organization. This involves architecting scalable, efficient data solutions, building schemas, designing and optimizing transformation pipelines, and maintaining data marts and dashboards. Your work will enable teams to derive valuable insights and achieve ambitious business objectives.
As a strategic leader, you’ll align key initiatives with broader organizational goals and communicate priorities effectively across multiple leadership teams. You’ll have the unique opportunity to define the long-term data vision for the organization, influencing how teams across the company leverage data to innovate and excel. By leading through technical excellence, you will ensure that the data ecosystem supports business growth and operational excellence while serving as a trusted partner and technical mentor within the organization.
This role offers the chance to make a profound impact by enabling data-driven decision-making and shaping the future of our business platform while working with a talented and passionate team of engineers.
Develop and execute a data strategy aligned with the company’s objectives, ensuring scalability, security, and performance.
Drive the adoption of best practices in data architecture, engineering, and governance across the organization.
Oversee the development of tools and frameworks for efficient and secure data access, analysis, and processing.
Ensure high availability and reliability of data systems, focusing on real-time, streaming, and batch processing capabilities.
Design and implement the long-term vision and architecture for data and analytics to support growth and multi-product efforts.
Partner with cross-functional teams (Data Science, Engineering, Product, and others) to understand and deliver on their data needs.
Define and design data integrations, data quality frameworks, and evaluate open-source or vendor tools for data lineage.
Establish and manage processes to achieve operational excellence, including defining SLAs for production data sets and processes.
Develop a data aggregation and reporting strategy, including delivering high-impact dashboards, data sets, and visualizations to inform key decisions.
Train and assist users in transforming data into actionable insights, fostering self-sufficiency in data usage.
Define and enforce data governance policies to ensure data quality, security, privacy, and compliance across platforms.
Collaborate with security and compliance teams to manage risks associated with data usage and storage.
Mentor and grow the team, supporting the development of talented data and platform engineers.
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
10+ years of experience in data engineering preferably in a tech company
Proven track record in architecting and building large-scale, high-performance data platforms and pipelines in a cloud environment (e.g., AWS).
Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing solutions (e.g., Databricks).
Solid understanding of data modeling, ETL processes, and real-time data processing.
Expertise in leading enterprise business intelligence tools to support development of automated dashboards
Ability to influence prioritization and execution of high impact data initiatives
Proven ability in regards to managing and communicating data warehouse plans to internal clients.
Excellent verbal and written communication skills
Translate business requirements into technical requirements and vice versa.
