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FiltersThis role requires prior, proven experience building highly scalable ETL pipelines using Databricks and AWS. Looking for someone who has successfully designed, implemented, and maintained large-scale data infrastructure in a production environment, you will report to the Data Science Manager and work closely with both our Data Science and Product teams.
Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python. Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools. Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data.
As a Data Engineer at Atropos Health, you will turn healthcare data into information by cleaning, transforming, and analyzing large healthcare datasets. You will build tools that ensure data quality and consistency across our products, working closely with commercial, medical, and data science teams. Your work will help Atropos Health inform every clinical decision and research inquiry with personalized evidence.
Seeking a skilled Data Engineer to support a government contract delivering high-quality data solutions. The ideal candidate will have experience designing, building, and maintaining scalable data pipelines, transforming raw data into actionable insights, and ensuring data quality and compliance with government standards.
Support an existing Data Warehouse development team with PowerBI, PowerApps, Oracle Analytics, Data Warehousing and other areas where analysis is needed. Work closely with business stakeholders, data engineers, and BI developers to analyze requirements, design data models, and build systems that can deliver actionable insights through robust reporting tools. Assist users with integrating PowerBI and PowerApps.
As Data Engineer, you'll help build the next generation of cloud-based data tools and reporting for Experian's MCE contact center division. Valuable, accurate, information is important to our success, and this impactful role will be an essential part of that. Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business.
As a Senior Growth Business Analyst at Huckleberry, you will be a key driver in shaping the strategy of our new revenue initiatives through advanced analytics and insight. You will analyze how families discover Huckleberry across marketing channels, attribution sources, and platforms, and how they move through our web and app funnels, onboarding experiences, upsell flows, and purchase paths. You will also play a pivotal role in strengthening analytics maturity across the company.
Architect the core data infrastructure that supports every part of the business—from clinical operations to member experience to AI-powered insights. Build data pipelines, warehouse/lakehouse environment, workflow orchestration, and foundational data models. As the organization’s first dedicated data engineering hire, operate with a high degree of autonomy, influence technical direction, and enable advanced downstream use cases including analytics, BI, and machine learning.
An experienced Data Engineer is needed to design, develop, and manage a global music data platform and ecosystem. This role will be responsible for advanced development of our enterprise data platform, orchestrating the full lifecycle of our production data, including ingress, egress, storage, federation, lineage, insights, and analytics across multiple sources and targets. The position offers the ideal candidate an opportunity to be a thought leader and influencer within and across the department, company, and market.
The Business Intelligence Developer brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in the organization to make informed decisions. The Business Intelligence Developer will have an intermediate understanding of the company’s databases, business intelligence (BI) tools, and existing reports and act as a resource in internal and external meetings.