Data Pipelines Jobs

Bland.com is seeking a Data Engineer to join its Internal Platform Team. This role is crucial in building the foundational systems that power the company's operations, including revenue, finance, HR, security, and operations. You will be responsible for designing and implementing the data warehouse from scratch, establishing a single source of truth for decision-making across all departments. The position offers the opportunity to shape the platform's future, working directly with the internal platform lead and influencing architectural decisions and priorities. The work is dynamic, spanning finance, sales, marketing, operations, and security, ensuring a varied and impactful experience.

$120k - $180k

Figma is seeking an Engineering Manager for Design Systems Adherence to lead a team focused on building workflows, tools, and feedback loops that ensure customers' design and code correctly adhere to their design systems when using Figma's Agents. This role involves enhancing context engineering for AI, improving agent architecture, and developing datasets and evaluators to measure adherence. The manager will set strategy, elevate adherence measurement standards, and translate evaluation results into actionable improvements for design quality. This is a high-impact opportunity to influence Figma's Agent capabilities and overall design quality, addressing the critical need for design and code parity and minimizing drift from defined design systems.

$258k - $376k

We are seeking an Engineering Manager to lead the engineering team for our Agentic Discovery portfolio. This role focuses on people management, execution, and ensuring engineering quality for customer-facing products that help businesses manage how AI agents understand, represent, and interact with their digital properties. You will collaborate with Product Management and other engineering teams to define priorities for Answer Engine Optimization (AEO), content ingestion and indexing, agent observation and testing tools, and open tool-execution standards. While not expected to write most of the code, you must possess deep technical credibility to understand complex systems, challenge architectural decisions, and troubleshoot technical issues when necessary. Success will be measured by the team's output, engineer development, and the quality of delivered systems and products.

The Imagine team is redefining AI-driven media experiences for Grok users worldwide. As a Product Safety Engineer on the Imagine team, you will build the critical safety systems and infrastructure that ensure Grok’s multimodal generation capabilities (images, video, audio, and beyond) are powerful, delightful, and responsibly deployed. You’ll design and scale safeguards, detection systems, and evaluation frameworks that prevent harm while preserving creativity and user freedom. Your work will directly shape how millions of users experience generative media — balancing rapid innovation with rigorous safety, trustworthiness, and alignment with SpaceXSI's mission. If you’re a driven engineer passionate about AI safety, content integrity, and building robust systems that protect users without stifling innovation, this is your opportunity to make a lasting impact at the frontier of multimodal AI.

$180k - $440k

NVIDIA is seeking a Software Engineer, Performance Instrumentation to join their team in Santa Clara, CA. This role offers an exciting opportunity to contribute to groundbreaking projects at the intersection of AI and accelerated computing. You will be instrumental in defining and maintaining performance data requirements, identifying and addressing visibility gaps, and ensuring the quality and efficiency of instrumentation APIs. This position requires a strong background in software engineering with a focus on performance and data quality within machine learning or systems software environments.

$168k - $270k

Decagon is seeking a Senior/Staff Software Engineer to join the Data Lifecycle team. This team builds and maintains the critical infrastructure that governs how sensitive customer data is handled throughout its entire lifecycle, from storage and access control to redaction and deletion. The role involves designing and implementing robust systems that ensure data privacy and compliance across Decagon's conversational AI platform, which serves industry-leading enterprises. You will work closely with product management, governance, and security teams to translate complex privacy requirements into reliable infrastructure and user-configurable products. Engineers on this team own features end-to-end, ensuring the secure and consistent protection of sensitive data across various communication channels and customer systems.

$200k - $400k

Glean is seeking a Software Engineer to join its Data Foundations team. This team is responsible for the entire data ingestion and management layer that powers Glean's Search, AI Assistant, and Agent products. Your work will directly impact the quality, freshness, and trustworthiness of the knowledge that all Glean users interact with daily. You will be instrumental in building and scaling connectors to various SaaS and on-prem systems, handling complex data synchronization, and transforming raw enterprise content into structured representations optimized for search and LLM reasoning. This role offers the opportunity to contribute to advanced data source capabilities and expand AI product functionality through deep integrations.

$180k - $300k

We are seeking an experienced Data Engineer to join our Austin team and contribute to the development of our internal data products. In this role, you will build data-driven applications that empower various teams across the company, including go-to-market, engineering, and product. You will be involved in the entire product lifecycle, from defining requirements and designing features to implementation and ongoing ownership. You will focus on creating scalable and reliable systems to address critical business challenges, collaborating with full-stack engineers on new features and managing the data pipelines and services that support our applications. Our technology stack is diverse, encompassing languages like Go and Scala, and technologies such as ClickHouse, with continuous evolution. Many of our products also integrate significant AI components, offering opportunities to develop advanced, AI-ready data layers and work with modern AI infrastructure and tools like vector databases, MCP-based services, and Workers AI.

You'll join the Grok Voice Model team as a software engineer. You'll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.

$150k - $450k

NVIDIA Finance is seeking a Forward Deployed Engineer and AI Enabling expert to drive measurable business outcomes through applied AI. This role sits at the intersection of finance functions, data platforms, and AI, partnering with various stakeholders to identify opportunities, build solutions, and foster adoption of new working methods. The ideal candidate will possess technical depth, business acumen, program leadership skills, and a strong capacity for enablement, moving comfortably from ambiguous problems to production-ready solutions and sustained adoption.

$116k - $230k

NVIDIA is seeking a Senior DFT Methodology - Data Analytics and Applied AI Engineer to join their Design-for-Test Engineering team. This role involves working with pre-silicon and post-silicon data analytics, including visualization, insights, and modeling. You will be responsible for designing and maintaining data pipelines and ETL processes, collaborating with cross-functional teams to define data requirements and ensure data quality, and applying algorithm design and statistical tools to solve complex problems in the Design For Test space. Additionally, you will contribute to developing and deploying DFT methodologies for next-generation products using Generative AI solutions and mentor junior engineers.

$152k - $265k

Liquid AI, a rapidly scaling company spun out of MIT CSAIL, is seeking an Applied ML professional to join their team. This role offers a unique opportunity to apply advanced sequential recommendation architectures to real-world enterprise problems at scale. You will be responsible for the end-to-end applied ML work for recommendation system workloads, adapting large-scale models for customers requiring efficient personalization and ranking capabilities under production constraints. This position provides full ownership over model adaptation, evaluation, and deployment, differing from more siloed recommendation roles. You will also contribute to building reusable tooling and workflows to accelerate future projects, making this an ideal role for those passionate about data quality, user behavior modeling, and implementing effective enterprise recommendation systems.

Mercor is seeking a Research Engineer Intern to work at the intersection of engineering and applied AI research. This role will focus on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will be crucial in defining how we measure tool use, agentic behavior, and real-world reasoning. You will design and run evaluations, build rubrics and scorers, and translate failure analysis into actionable improvements for post-training, RLVR, and data pipelines.

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission is to create a new category of work where expertise drives AI advancement, requiring an ambitious and fast-paced team working alongside researchers and AI companies at the forefront of technological change. Mercor is a profitable Series C company valued at $10 billion. As a Research Engineer Intern, you will work at the intersection of engineering and applied AI research. Your contributions will directly impact post-training, RLVR, synthetic data generation, and large-scale evaluation workflows for frontier language models. The work you do will be instrumental in training LLMs to master tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, conduct post-training experiments, and develop scalable systems to enhance model performance, while also designing and evaluating datasets, creating data augmentation pipelines, and building rubrics and evaluators to push the boundaries of LLM learning.

Anduril Industries is seeking a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning platform that powers the company's autonomous systems. This role will own the technical roadmap for the ML platform, building robust infrastructure, MLOps tooling, and systems architecture to train, evaluate, host, and serve complex AI models. The engineer will optimize experimentation velocity for AI Research Scientists, manage large datasets, and contribute to recruiting and mentoring the infrastructure engineering team.

$220k - $292k

Snorkel AI is seeking Senior and Staff Product Engineers with strong backend experience to help shape and deliver product capabilities that simplify complex workflows for users. This role involves owning backend features from concept to production, collaborating closely with Product, Design, and Engineering teams. You will be instrumental in building and evolving APIs, services, data models, and workflow capabilities that support the product, focusing on areas like data cataloging, agent benchmarking, and workflow automation. The ideal candidate possesses sound technical judgment and a commitment to product quality, usability, and impact.

$208k - $315k

Accenture

We are seeking a motivated Junior Data and AI Engineer to join our technology team. This role is ideal for a recent graduate eager to build a career in data engineering, artificial intelligence, machine learning, and cloud-based analytics. You will support the design, development, and deployment of data-driven solutions to enhance decision-making, automate processes, and create intelligent digital products. Working alongside experienced engineers and business teams, you will learn industry best practices while contributing to impactful projects.

NVIDIA is seeking an engineering lead to architect and scale the data acquisition infrastructure that powers our foundation models. This hands-on technical leadership role spans distributed systems, crawl infrastructure, and third-party data ingestion, focusing on building systems that discover valuable sources, crawl the open web at scale, and deliver reliable, high-quality data to training pipelines. You will own the architecture of a unified platform covering source discovery, URL indexing, crawl frontiers, predictive ranking, scheduling, distributed fetching, and ingestion, with the goal of bringing existing infrastructure to pretraining scale and extending it to additional model families, modalities, and acquisition workflows. You will also lead architecture reviews, critical implementation work, mentor engineers, and help build the team.

$272k - $431k

We are seeking a highly motivated and experienced Enterprise Data Management – Data Application Engineer specializing in Supply Chain to join our Business Applications group. This role is crucial in transforming computing by leading the creation, oversight, and advancement of enterprise data platforms and global business workflows. You will partner with business and IT teams to deliver scalable, resilient, and future-ready data solutions, leveraging your expertise in enterprise data management, supply chain operations, data architecture/platforms, and Agentic AI. Your contributions will be vital in resolving complex issues, refining data governance and observability, and ensuring trusted, high-quality information across the supply network.

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI training labs. As a Senior Research Infrastructure Engineer, you will accelerate research on training and evaluating frontier AI agents by building the software and infrastructure that enables researchers to iterate on environments, collect trajectories, and evaluate model behavior. You will collaborate closely with research engineers to understand their needs, identify bottlenecks, and transform research code into robust, reusable systems, owning the tools, pipelines, and execution infrastructure that support their exploration and scaling of promising approaches.

$175k - $260k