SmarterDx is looking for a Data Engineering Manager, Integrations to manage a data engineering team. You will scale new‑client onboarding, raise the bar on data quality and governance, and ensure resilient, observable, and cost‑effective ELT pipelines. You will set objectives, mentor engineers, and partner with other teams to deliver outcomes.
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Thumbtack is building out a world-class Marketing Tech stack, making this an opportunity to develop and build the vision of incorporating data through all aspects of marketing. You'll help set the data architecture, be hands on in building our datasets and mentor engineers. You will also refine a framework for integrating data-thinking, design and maintain core marketing datasets, and drive data quality and best practices.
You'll work collaboratively to develop and build the vision of incorporating data through all aspects of marketing at Thumbtack, designed with our cross-functional team. You’d help set the data architecture, be hands on in building our datasets and mentor engineers as we go. This role involves designing, architecting, and maintaining core marketing datasets and feature stores.
This is a remote position. Support production systems and help triage issues during live sporting events. Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production. Build new sports betting data products and predictions offerings. Integrate large and complex real-time datasets into new consumer and enterprise products. Develop production-level predictive analytics into enterprise-grade APIs.
We’re looking for a Senior Data Engineer to join the enterprise data engineering team, playing a key role in building and optimizing data pipelines, designing scalable data solutions, and enabling advanced analytics across the organization. This is a high-impact role where you’ll work closely with engineers, analysts, and data scientists to ensure data is accurate, reliable, and accessible.
At Resultant, they are fearless problem solvers passionate about helping clients solve their toughest problems. As a Senior Data Scientist / Machine Learning Engineer, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems. You will engage with clients to understand business needs and translate them into technical requirements.
Assemble large, complex data that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements, automating manual processes and optimizing data delivery. Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services. Work with stakeholders to assist with data-related technical issues and support their data requirement needs.
Design and evolve scalable, cloud-native data architectures for advanced analytics and AI. Develop and maintain real-time and batch data processing platforms. Define and implement data modeling standards for structured/unstructured data. Integrate innovative technologies (vector databases, LLMs, real-time streaming). Ensure data quality, lineage, and governance. Collaborate with engineering/product teams to translate business needs into solutions. Optimize platform scalability, cost, and performance in cloud environments. Establish architectural standards for data-driven decision-making.
Architect, design, and build data solutions that power analytics, insights, and personalization across Fandango’s digital platforms. Lead complex data initiatives, mentor junior engineers, and ensure that our data infrastructure is scalable, efficient, and resilient.
You will own the design, development, and maintenance of TextNow's data platform, enabling effective data-informed decisions as an experienced Data Engineer with hands-on experience designing and developing data platforms. You will be part of cross-functional efforts to build scalable and reliable frameworks that support all TextNow's business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up.