Migrate data and analytics workloads from BigQuery to Snowflake
Develop and optimize ETL/ELT pipelines using Python and SQL
Build analytics-ready datasets for reporting and dashboards
Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms to help clients drive action and impact through data and insights.
Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud.
Quickly build subject matter expertise in a specific business area and data domain.
Support defining and executing the overarching strategy for the analytics engineering function.
Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Founded in 2015 by former NSA cyber operators, Huntress protects all businesses with enterprise-grade, fully owned, and managed cybersecurity products.
Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.
Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.
Define and communicate the long-term data architecture vision.
Lead the evaluation and selection of technologies and frameworks.
Establish and promote best practices for data management and governance.
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 foster a diverse, inclusive, and safe work environment where collaboration is a superpower.
Analyze and document database structures and business processes to inform migration strategy.
Collaborate with technical teams to ensure proper data quality checks are implemented.
Design and execute testing plans to validate data accuracy and integrity post-migration.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees worldwide, they have partnered with more than 1,000 clients. They value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Develop and maintain .NET/Power App front-end tools to support the business
Work with key stakeholders to develop actionable reports within PBI
Update existing dashboards and reports based on change requirements
Smith+Nephew is a global medical technology company. They design and manufacture technology that takes the limits off living and support healthcare professionals to return their patients to health and mobility. Their culture is one of Care, Collaboration and Courage.
Build and maintain clean, scalable data models and pipelines to support marketing analytics and reporting using tools like Snowflake, DBT, and Databricks
Collaborate closely with Marketing stakeholders to understand business goals and translate them into data requirements and insightful data products
Develop and maintain user-friendly BI solutions to monitor marketing performance, campaign effectiveness, and key KPIs
Talkiatry provides accessible, human, and responsible mental healthcare. They are a national mental health practice co-founded by a patient and a triple-board-certified psychiatrist, utilizing innovative technology and a human-centered philosophy.
Design and implement efficient data pipelines using Python and AWS services.
Ensure data quality, reliability, and scalability across multiple sources and formats.
Collaborate closely with data analysts, software engineers, and product teams to deliver actionable insights.
They're looking for a Mid-Level Data Engineer with strong technical skills and a passion for building scalable data solutions. They did not include information on their size or culture.
QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. They help customers in various industries rapidly adapt to change and innovate for competitive advantage.
Design, build, and maintain scalable data pipelines and warehouses for analytics and reporting.
Develop and optimize data models in Snowflake or similar platforms.
Implement ETL/ELT processes using Python and modern data tools.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company; the final decision and next steps (interviews, assessments) are managed by their internal team.