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.
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.
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.
Define the modern cloud-based data architecture, owning key architectural decisions.
Architect and operationalize Medallion data models ensuring governance and reusability.
Design, develop, and deploy modern data warehouse and Lakehouse solutions.
Kinaxis is a tech company that provides supply chain management solutions. They have grown to a global organization with over 2000 employees and are recognized as one of Canada’s Top Employers, fostering a culture of innovation and collaboration.
Define and enforce data architecture and engineering standards across products and teams
Design scalable, secure, and optimized cloud data architectures that align with business goals
Collaborate with engineering and product teams to translate requirements into high-level and detailed system designs
Jobgether connects candidates with partner companies using an AI-powered matching process. They ensure applications are reviewed quickly and fairly, and their system identifies top candidates to share with the hiring company.
Lead support of client’s Azure Data platform and Power BI Environment.
Consult, develop, and advise on solutions in Microsoft Azure and Power BI.
Proactively mentors junior team members and actively gives feedback.
3Cloud is a company where people roll up their sleeves to take on tough problems together. They hire people who aren’t afraid to experiment or fail and who are willing to give direct and candid feedback, so they can deliver amazing experiences and solutions to their clients.
Collaborate with the Core Experience team to drive the ideation and rigorous analysis of product experiments.
Partner with Product, Finance, and Operations to build and maintain robust reports and dashboards specifically for our Core Experience product lines.
Write and optimize complex SQL queries to extract data from various sources for deep-dive analysis.
Acorns is a financial wellness app that helps everyday people and families save and invest money for the long term. Since 2014, Acorns has grown into a global company with multiple life-stage products serving the needs of kids, teens, adults, and parents.
Build data architecture frameworks compliant with global standards.
Oversee continuous improvement of frameworks for data accuracy.
Identify significant data assets and translate business requirements.
Jobgether is an AI-powered platform connecting candidates with fitting roles, ensuring quick and fair application reviews. They leverage AI tools to assist in the hiring process but emphasize that final decisions are made by humans.
Work closely with data engineers to define data ingestion requirements
Define, refine and apply our standard data model
Develop end-user tables within Databricks utilizing SQL and DBT
Equilibrium Energy is building an AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. It is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate and has a tight-knit group of brilliant, curious, and adventurous people.
Own Neko’s Data Engineering strategy, ensuring long-term leadership in preventive health.
Drive innovation in data engineering technologies and practices, balancing current and future needs.
Build a platform supporting responsible AI — fairness, privacy, explainability, and compliance.
Neko Health is a Swedish healthcare technology company focused on shifting healthcare from reactive treatment toward preventative health and early detection. They have over 500 employees with offices in Stockholm, London and Manchester and are focused on creating a flexible work environment.