Responsible for designing, building, and maintaining scalable data pipelines and warehouse architectures. Integrate, transform, and manage high-volume datasets across multiple platforms. Focus on ensuring data quality, performance, and security while driving innovation through the adoption of modern tools and technologies.
This position is posted by Jobgether on behalf of a partner company.
Lead the development of our data infrastructure, from ingestion, ETL / ELT, aggregations, processing, and quality checks.
Provide technical leadership, mentoring, and guidance to a team of data engineers and analytic engineers.
Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.
Oportun is a mission-driven fintech company that aims to make its members' financial goals achievable. They empower members with intelligent borrowing, savings, and budgeting capabilities to build a better financial future and have provided more than $19.7 billion in responsible and affordable credit.
Design and deliver complex software solutions across hybrid environments.
Manage data needs for the Pharmacy Application and drive related data science projects.
Provide solutions for data requirements for a high-volume transaction processing platform, ML model development, and software application interfaces.
Cotiviti provides data-driven solutions that help healthcare organizations, retailers, and payers improve financial performance and operational efficiency.
Design, build, and maintain scalable, high-quality data pipelines.
Implement robust data ingestion, transformation, and storage using cloud-based technologies.
Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.
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 have partnerships with more than 1,000 clients and value diversity, fostering a diverse, inclusive, and safe work environment.
Partner with clients and implementation teams to understand data distribution requirements.
Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.
Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.
Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state
Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met
CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients.
Build, manage, and operationalize data pipelines for marketing use cases.
Develop a comprehensive understanding of customer and marketing data requirements.
Transform large data sets into targeted customer audiences for personalized experiences.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.
PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.
Design and implement data solutions for various cloud data platforms.
Lead and mentor engineering teams in best practices and technical excellence.
Develop end-to-end technical solutions into production, ensuring optimal performance and security.
Jobgether is a remote-first organization that values a culture of technological curiosity, ownership, and trust and provides a dynamic and casual work environment for top performers. They use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Optimize SQL queries to maximize system performance.
RefinedScience is dedicated to delivering high-quality emerging tech solutions. While the job description does not contain company size or culture information, the role seems to value innovation and collaboration.
Work alongside Caylent’s Architects, Engineering Managers, and Engineers to deliver AWS solutions.
Build solutions defined in project backlogs, writing production-ready, well-tested, and documented code across cloud environments.
Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). They are a global company and operate fully remote with employees in Canada, the United States, and Latin America fostering a community of technological curiosity.
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.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
Implement and maintain data quality measures throughout the data lifecycle
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 have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Lead product requirements and advanced analytics requirements gathering efforts.
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
Build a scalable technology platform to support a growing business and deliver high-quality code to production.
Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.
Architect and lead the evolution of our modern data platform.
Design and build production LLM pipelines and infrastructure that power intelligent operations.
Own end-to-end data acquisition and integration architecture across diverse sources.
Brightwheel is the largest, fastest growing, and most loved platform in early ed. They are trusted by millions of educators and families every day. The team is passionate, talented, and customer-focused and embodies their Leadership Principles in their work and culture.
Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models
Build, maintain, and improve rock-solid data pipelines using a broad range of technologies like AWS Redshift, Trino, Spark, Airflow, and Kafka streaming for real-time processing
Support teams without data engineers in building decentralised data solutions and product integrations, for example, around DynamoDB Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation
OLX operates consumer brands that facilitate trade to build a more sustainable world. They have colleagues around the world who serve millions of people every month.