Seeking a skilled lead Data Ops Engineer with expertise in Data Ops or Data Engineering, SQL, system automation, and Python to join our team. Responsibilities include designing the proper data architecture, implementing automation, and be the mentor and leader for the Data & Analytics team. Enjoy remote work with the option to engage at our Deerfield office. This role offers career growth and leadership opportunities.
This role is ideal for someone who enjoys working across high-volume telemetry sources, optimizing data workflows, and solving schema drift challenges in real-world distributed environments. You’ll be part of the Security Data Platform and ML Engineering team, helping to onboard and normalize security data that powers analytics, detection, and ML workflows across Adobe.
Develop a cutting-edge application for our customers. Design and implement scalable foundational services to support data pipeline processing, search functionality, user management, and other customer-facing features. Work on ML infrastructure and Generative AI applications to advance scientific use cases. Build and deliver high-quality products using Agile software development methodologies.
As a Senior Data Engineer, you will have a pivotal role in large projects, bringing your data architecture and engineering expertise to help Pennylane meet its high delivery standards. You will continue designing data platform, from data ingestion and validation to transport, storage, and exposure to consumers. You will collaborate with other data engineering teams, sharing technical knowledge and defining best practices.
Play a critical role in shaping our data strategy and developing data products that support our mission of expanding access to mental healthcare by leading the charge in using data to improve patient outcomes, streamline operational workflows, and support business growth.
Reporting to the Senior Manager of Development and Operations, you will be an expert in designing and developing end-to-end data solutions from source data ingestion, ETL process, visualization, and to business insights delivery. You will identify automation opportunities in existing data pipelines and propose design of the automation process. You will collaborate with Engineering teams to discover and use data being introduced into the environment.
Working across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments. Producing institutional grade data insights reports on macro trends as well as sector trends, including DeFi, NFT, Gaming, Metaverse, L1/L2 and Middleware etc, for both internal and external clients. Analyze and interpret large volumes of on-chain transactional and operational data using proprietary and open source data tools, platforms and analytical tool kits.
We are seeking a visionary Head of Consultancy to lead our data engineering consultancy division, driving growth and success. The ideal candidate will be a strategic leader with a strong background in data consultancy, capable of owning the P&L, building client relationships, and fostering a high-performing team.
Join our Elections Team and help build and scale innovative local election experiences and tools that empower voters throughout the 2025/2026 election cycle. Build and manage robust data pipelines that unify information from third-party civic data providers, scraped sources, and internal editorial overrides into a clean, authoritative dataset. Design and evolve the data models that support fast, accurate lookups of candidate, race, and ballot-level information based on geographic and jurisdictional context.