Design data engineering solutions for enterprise clients across a variety of MarTech and AdTech platforms. You'll plan how data needs to flow across each client’s MarTech stack so the data can be used in Polaris, their proprietary tech platform. Build data models using BigQuery and dbt, designing them for use across reporting, apps, and media forecasting. If you revel in data development challenges, this role is for you.
As a Senior Data Engineer, you will architect and implement the foundational systems that power analytics, automation, and insight across the company. You’ll lead the development of robust data pipelines, optimize workflows with tools like dbt, and drive best practices that scale with our growth. You will also design, build, and maintain robust and scalable data pipelines from diverse sources.
Shape the customer experience through high-quality experimental design and hypothesis testing. Work cross-functionally with product managers, growth leads, designers, and engineers in a fast-paced collaborative environment. Use your knowledge of A/B testing and digital analytics, combined with your background in experimental design, to allow Hims and Hers to build best-in-class customer experiences.
Avero is seeking a Senior Data Engineer to join our growing data engineering team. You will be responsible for designing and developing scalable data solutions that empower internal teams and drive customer-facing analytics. You will work closely with our Data Architect and other stakeholders to evolve our data models and infrastructure. This is a hands-on individual contributor role with architectural influence.
The Senior Data Analyst will drive analytics initiatives across the organization, overseeing the design and implementation of scalable data solutions, ensuring data quality, and mentoring junior analysts, collaborating with stakeholders to ensure insights support business decisions.
Analyze and translate business requirements into efficient database designs. Create database models using tools like ERD diagrams. Utilize common database design patterns and data integration techniques. Implement indexing techniques and data security best practices. Work closely with stakeholders, developers, and architects to ensure the database design meets the project requirements.
DAS42 is seeking a strategic and technically proficient Data Engineer Consultant to help clients unlock the full value of their data. This role involves designing and implementing scalable data solutions, from data models and ETL pipelines to cloud data warehouses and BI tools. You will advise clients across industries on optimizing data environments and translating business objectives into technical strategies.
Join ITility's Data and Analytics team as a Data Engineer, responsible for designing, developing, and maintaining the data infrastructure supporting business intelligence and data exchange on an AWS ecosystem. You will build a semantic data layer and enterprise data warehouse, brokering data throughout the ecosystem. The ideal candidate will have experience with Amazon RDS, AWS Lambda, Python Glue, and SQL-based data solutions.
Seeking a Data Warehouse Architect / Manager with expertise in Microsoft Fabric, Synapse Analytics, and modern data architecture. This role will lead the transformation of our data warehouse and reporting environment, aligning it with strategic business goals and the Microsoft Azure ecosystem. You will oversee architecture, governance, performance, and a small team of data engineers, focusing on enabling self-service analytics, operational visibility, and compliance.
As Data Architect, you’ll lead the design and implementation of our data layer that powers these reports. You’ll manage a team of Analytics Engineers, define processes, and establish data governance standards that ensure quality and trust at scale. This role bridges strategy and execution.