Software Engineer building scalable data infrastructure, cataloging, versioning, and lineage tools to support ML research and production workflows at an AI-driven hedge fund. Requires 3+ years experience, strong software design skills, and expertise in a modern language like Python or Java.

Build scalable financial data pipelines, backend services, and data models supporting Spotify’s accounting and reconciliation systems. The role requires 3+ years of backend or data-intensive application experience with Java or Scala and distributed data processing technologies.

Integrations Associate responsible for implementing, maintaining, and optimizing eligibility and claims data feeds for Garner's healthcare platform. Requires analytical skills, familiarity with healthcare file formats (EDI 834/837), SFTP/PGP, and strong cross-functional communication. 0-5 years healthcare data experience.

Build the company’s compute intelligence platform, including warehouse infrastructure, production pipelines, data models, dashboards, and AI-accessible analytics. The role requires 3+ years of data-focused engineering experience, strong Python and SQL skills, and cross-functional business judgment.

Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).

Staff Data Engineer owning end-to-end client data migrations at Machinify. Reverse-engineer legacy healthcare systems, architect and build Spark/Airflow pipelines, ensure data fidelity via automated reconciliation, and coordinate cross-functional teams from discovery through go-live. Requires 8+ years hands-on data engineering, strong Python/SQL/Spark/Airflow, and AI-assisted development experience.

Senior Data Engineer owning architecture and technical vision for ClickUp's data platform. Build scalable pipelines on AWS serverless, Snowflake, and dbt; design AI/ML infrastructure; drive cost optimization, standards, and mentor engineers. Requires deep expertise in cloud data systems and large-scale distributed architectures.

Founding Data Engineer to architect Payabli's data platform from scratch: design lakehouse/warehouse, build pipelines, model financial data, and establish governance for a regulated fintech environment.

Design and build scalable big data systems and ETL pipelines using Spark, Kafka, Hive and related technologies. Requires strong data modeling, SQL, and experience with AI coding assistants.

Build and maintain data models, pipelines, and dashboards that power customer experience and compliance operations. Partner with CX and compliance teams to deliver trusted, self-serve analytics.

Build and maintain scalable data pipelines and platforms that enable AI applications to securely access trusted data. Partner with analytics, marketing, and product teams to deliver production-grade data systems.

Staff Data Engineer building and scaling data pipelines, integrations, and workflow orchestration systems. Owns architecture, IaC strategy, and technical leadership across large-scale data infrastructure.

Build and govern scalable Workato integrations, automation frameworks, and data pipelines across enterprise systems. The role requires integration development experience, API expertise, familiarity with enterprise platforms, and exposure to secure AI and LLM implementations.

Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.

Lead multi-year vision and architecture for data governance and quality at scale. Define best practices, tooling, and culture while coaching senior engineers and influencing executive strategy on compliance and data integrity.

Staff Data Platform Engineer building and leading AWS-native data platform architecture, orchestration, governance, and AI-readiness for analytics and ML workloads. Requires 8-10+ years experience with AWS data systems and strong technical leadership.

Senior engineer responsible for data infrastructure powering product usage tracking, billing, and CRM integrations. Requires 8+ years experience with PHP/Laravel, AWS, relational databases, and React.

Build and operate the identity data platform that ingests, transforms, and serves high-volume identity data to power all Lumos products. Own ingestion pipelines, service layers, APIs, and observability for correctness and reliability.

As a Senior Software Engineer, Data Processing, you will own the data processing layer at ingestion, building and operating systems that transform large-scale source data into clean, structured, AI-ready datasets. This is a hands-on, backend- and data-heavy role with end-to-end ownership of data pipelines.

Quantitative Developer building and maintaining portfolio compliance and analytics features. Works cross-functionally to onboard clients, debug calculations, and implement new functionality. Requires strong Python/Java/C# skills and quantitative background.

As a Software Engineer on the Data & Analytics Platform team, you will design, build, and optimize the data platform to support various data-driven initiatives. You will work with cross-functional teams to architect scalable solutions and implement data infrastructure using modern data technologies.

As a Senior Staff Data Platform Engineer, you will define platform standards, lead cross-domain initiatives, and shape the future of Zocdoc's analytics and data infrastructure. You will ensure the data ecosystem is secure, reliable, compliant, performant, and cost-efficient.

Build and operate large-scale web data pipelines for pretraining language models, including extraction, filtering, quality scoring, deduplication, and corpus analysis. The role requires strong Python and data-engineering skills, experience with large web datasets, and collaboration across research and engineering teams.

As Head of Data, you will lead the data function end-to-end, shaping strategy, building data pipelines, and driving product and business decisions. You will also build and lead a small, high-leverage team, pushing the boundaries of AI tooling.

As a Data Engineer, you will build and maintain data pipelines, dbt models, and infrastructure on AWS and Snowflake. You will partner with BI/Analytics Engineering, take operational responsibility, and mentor junior team members.

Build and own high-performance JVM-based connectors, drivers, and integrations connecting ClickHouse with streaming frameworks and the broader data ecosystem. The role requires 6+ years of software development experience, deep Java expertise, and production experience with streaming connectors and distributed messaging systems.

Build and maintain high-performance Java/JVM connectors, drivers, and SDKs that integrate ClickHouse with streaming and data-processing ecosystems. The role requires 6+ years of software development experience, production connector expertise, and strong knowledge of Java concurrency, distributed messaging, and database systems.

Build and maintain high-performance Java/JVM connectors, drivers, and SDKs that integrate ClickHouse with streaming and data-processing ecosystems. The role requires 6+ years of software development experience, strong Java concurrency and performance expertise, and production experience with streaming connectors.

Senior software engineer building and maintaining high-performance JVM-based connectors, drivers, SDKs, and integrations for ClickHouse’s streaming and data engineering ecosystem. Requires 6+ years of experience with Java, distributed messaging, streaming frameworks, concurrency, and scalable data integration systems.

Build and maintain high-performance Java/JVM connectors, drivers, SDKs, and streaming integrations for ClickHouse’s data ecosystem. The role requires 6+ years of software development experience plus deep expertise in Java concurrency, distributed messaging, streaming frameworks, and data-intensive systems.

Senior software engineer building and maintaining high-performance Java/JVM connectors, drivers, SDKs, and integrations for ClickHouse across streaming and data-processing ecosystems. Requires 6+ years of software development experience and deep expertise in Java concurrency, distributed messaging, databases, and performance optimization.

Build and scale reliable data pipelines for the Growth team, establish dbt and data-quality standards, and enable self-service analytics across cross-functional teams. The role requires strong data engineering experience, expert dbt knowledge, and proficiency in Python and SQL.

Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.

Builds and maintains petabyte-scale data storage infrastructure for AI training workloads. Requires 4+ years in data infrastructure, Python, Kubernetes, and distributed processing frameworks like Spark or Beam.

Designs and leads production data pipelines integrating EHR clinical data from Epic Cerner Athenahealth via FHIR HL7 CCDA enforcing healthcare standards for low-latency insights. Builds AWS cloud infrastructure ETL workflows with Python Docker Kubernetes for ML enablement and HIPAA compliance requiring 5+ years healthcare data engineering experience.

Leads design and evolution of analytics infrastructure for research reporting, owning pipelines, datasets, and platform standardization. Collaborates with data scientists using Python, SQL, distributed engines like Presto/Spark. Requires 6+ years in data infrastructure.

Builds scalable data ingestion pipelines, processing systems, and tooling to support AI/ML research and trading operations at a quantitative finance firm. Requires 5+ years experience in robust software engineering with modern languages and data infrastructure expertise.

Staff Data Engineer architects and delivers scalable data products from healthcare datasets, designs high-performance processing systems using SQL, Spark, Python, and AI workflows, and leads cross-functional initiatives for reliable data serving to customers and applications.

Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.

Senior Software Engineer on the Data Platform team owns data infrastructure, builds scalable ETL/ELT pipelines, optimizes storage, and collaborates with product and data science teams. Requires 5+ years experience in data engineering with Python/Golang, Spark, AWS, and Kubernetes.

Leads architecture and strategy for data warehouse, analytics tools, and governance at massive scale. Requires 12+ years experience with data platforms like Spark/Trino and AI tools for productivity.

Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.

Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.

Builds and scales data pipelines for video generation models, including ingestion, annotation via MTurk/Prolific, preprocessing, and curation using Python, AWS, Kubernetes. Requires 3+ years in ML/data engineering, PyTorch experience, and cross-functional collaboration.

Owns end-to-end data strategy including sourcing, curating, and structuring multimodal data (text, video, images) for AI model training. Requires strong Python, SQL, large-scale processing, and ML-first mindset with LLM experience.

Designs and builds scalable batch/streaming data pipelines for identity verification products, owning end-to-end data initiatives using cloud-native tech. Requires 5+ years data engineering with Spark, AWS, Python/SQL; streaming/orchestration experience preferred.

Senior Data Engineer leads data stack evolution, building scalable pipelines and infrastructure for analytics, reporting, and self-serve tools using Snowflake, dbt, AWS. Requires 7+ years experience, BS/MS, expertise in SQL, Python, orchestration tools.

Lead design and implementation of scalable identity resolution and data governance platforms. Build pipelines for identity data management, ensure privacy compliance, and partner with teams to deliver reliable data services. Requires 5+ years Spark/Scala experience.

Staff Data Engineer architects scalable data infrastructure, leads ETL/ELT pipelines and data modeling using Snowflake, dbt, Airflow, and Python. Requires 9+ years experience, mentoring skills, and marketplace background.

Builds and maintains end-to-end data pipelines from raw ingestion to analysis, using Python, SQL, and AI tools to create actionable insights for healthcare clients and internal teams. Requires 4+ years experience handling complex data systems with focus on quality and observability.