Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives. Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value.
Design, build and operate reliable, automated data pipelines for health plan data. Model complex, messy healthcare data into clear, trustworthy canonical and analytical models.
Our APIs handle encoding, streaming, playback and analytics for companies like Patreon, Substack and Robinhood. We're changing how Mux uses its own data. We're not building more dashboards. Agents on top of bad data just give confident wrong answers faster.
Midjourney · 10d ago
Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls.
Lead complex workstreams and technical problem solving across engagements. Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving.
Two kinds of data decide whether we can do our job. What a health plan tells us happened to a member, in eligibility files, claims, pharmacy and hospital event feeds. And what our own software records about what we did for them.
We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world.
Building and maintaining scalable pipelines in Python, SQL, Snowflake, Dagster, dbt and AWS. Owning projects end to end, from ingestion through to analytics. Building a proper staging and testing environment, and improving monitoring, alerting and data quality.
Design and own core ads data models : fact/dim tables, canonical datasets, and aggregation layers that power delivery, measurement, targeting, attribution, and ML use cases.
Ascentia Partners · 12d ago
This is a highly autonomous, technically-focused role for someone passionate about data, code, and outcomes. You will design, build, and scale modular, end-to-end data pipelines, ensuring data quality, consistency, and scalability.
KDR Talent Solutions Ltd · 12d ago
You will be hands-on while engaging with senior stakeholders to shape data usage across the business. The role involves rebuilding and enhancing the Databricks platform, transforming data, and delivering solutions using Python, SQL and PySpark.
We are looking for a Data Engineer who wants to be at the forefront of AI integration. You won't just be building standard pipelines.
Design, build, and maintain analytics-focused data pipelines that ingest, transform, and curate observability data from EDA datacenters. Develop reliable ingestion pipelines for metrics, logs, traces, and hardware health telemetry generated by large-scale CPU and GPU clusters.
Build, implement, and optimize tools to generate synthetic data for training different deep learning DRIVE networks, including simulated lidar, radar, camera/RGB-D, bounding boxes, object tracks, world models, segmentation, depth, scene semantics, and sensor metadata.
This isn't a role where you'll spend your time moving data around low-code tooling or simply maintaining existing pipelines.
The Analytics team is seeking a passionate, inquisitive, detail-oriented, and customer-focused Senior Data Engineer to join our growing team.
Carrot is seeking a Sr. Data Engineer to lead the evolution, reliability, and scalability of our modern data infrastructure across analytics, reporting, and business intelligence.
Mastercard Foundry is seeking a Senior Data Engineer. In this role, you will take ownership of building and optimizing data platforms, pipelines, and systems that enable advanced analytics, machine learning, and business insights.
We're seeking an experienced Sr. Platform Data Engineer to architect, deploy, and operate the core data infrastructure and platform services underpinning CrowdStrike's analytics ecosystem.
The Fraud Operations Analytics & Reporting team sits at the center of this mission — driving intelligence through data to improve operational efficiency, agent accountability, and fraud detection efficacy across all fraud product lines.
94 Senior Data Engineer jobs paying $100k+ are listed on Six Figure Jobs. The average salary is $181k USD. Every listing shows its salary range from the employer’s posting. Use the filters to narrow by seniority, location, skills or work type.
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