Senior Data & AI Engineer (Part-Time Contract)
Build and deploy data integrations and AI-powered workflows, improving data quality and operational efficiency while owning delivery from discovery through production, documentation, and team handoff.
556 total jobs
126 new jobs this week
Build and deploy data integrations and AI-powered workflows, improving data quality and operational efficiency while owning delivery from discovery through production, documentation, and team handoff.
Own reliable data pipelines and warehouse models across growth, customer lifecycle, and brokerage systems, ensuring data stays accurate, timely, governed, and useful from source through downstream platforms.
Defines enterprise data-platform architecture and engineering standards, leads complex system design and technical decisions, and builds reliable data products while mentoring engineers across teams.
Projeta, implementa e mantรฉm pipelines de dados escalรกveis na AWS, garantindo qualidade, integridade e seguranรงa, otimizando processos de ETL e colaborando com equipes de dados, engenharia e negรณcios.
Engenheiro de Dados Pleno responsรกvel por migrar tabelas e pipelines do Cloudera Hadoop para AWS, desde o levantamento do ambiente atรฉ a estabilizaรงรฃo em produรงรฃo.
Lead hands-on delivery of Palantir Foundry data and AI solutions, building pipelines, ontology layers, and LLM-powered workflows while guiding engineers and advising client stakeholders.
Own the end-to-end Microsoft Fabric medallion data architecture for a risk analysis platform, building Delta pipelines, feature engineering, Gold risk tables, and Direct Lake models while optimizing performance and reliability.
Designs and operates reliable data pipelines and models that power customer-facing application features and shared analytics, partnering with engineering and product teams to deliver secure, accurate, accessible data.
Design and operate scalable data infrastructure for athlete performance and sensor data, including streaming ingestion, time-series and graph architectures, and reliable foundations for machine learning and AI evaluation.
Architect, build, and operate scalable data infrastructure for research and trading, integrating market data, news, and other sources while ensuring data quality, performance, security, and cost efficiency.
Build and improve observability across data and infrastructure platforms, closing monitoring gaps, refining alerts, and delivering reliability metrics and dashboards that help teams detect issues proactively.
As a Senior Data Operations Engineer, you will ensure the health, performance, and cost efficiency of Snowflake accounts for customers, optimizing their data environments and providing expert support.
As a Senior Database Engineer, you will manage the day-to-day operations of our database systems, ensuring optimal performance and reliability across multiple platforms.
Develop, maintain, and optimize scalable data pipelines utilizing Cribl LogStream, while collaborating with various teams to enhance security data workflows.
Build and own reproducible pipelines that transform complex EHR data into accurate, audit-ready research datasets, while leading data quality, governance, and study data management from ingestion through data lock.
Lead data engineering work to prepare Snowflake datasets for a Dataiku proof of concept, building reliable pipelines and data models while ensuring data quality for downstream analytical workflows.
Projeta e mantรฉm pipelines e plataformas analรญticas na Google Cloud, transformando dados brutos em bases confiรกveis e escalรกveis, com foco em qualidade, governanรงa, desempenho e apoio ร s equipes de negรณcio e anรกlise.
Design and deliver governed, production-grade data pipelines and reusable data products in Databricks, integrating SAP data and translating client requirements into tested, documented solutions.
Desenvolve e sustenta soluรงรตes de dados escalรกveis, seguras e eficientes, definindo arquiteturas, aprimorando pipelines e orientando decisรตes tรฉcnicas, prรกticas de engenharia e evoluรงรฃo do time.
Own the roadmap and outcomes for fintech data products powering credit and payment decisions, translating risk and commercial needs into buildable solutions while leading AI-first delivery across teams.
Leads and develops a team of 5+ DataOps engineers while staying hands-on with data ingestion pipelines, engineering strategy, platform reliability, and stakeholder alignment.
Build and optimize production knowledge graphs and GraphRAG systems, turning sustainability data into reliable, agent-ready information through entity resolution, semantic integration, and high-performance retrieval.
Build and optimize production knowledge-graph systems that turn sustainability data into agent-ready infrastructure, including GraphRAG pipelines, entity resolution, semantic integrations, and reliable, high-performance graph retrieval.
Build and optimize ETL/ELT pipelines, data models, and cloud-based data platforms that support analytics and reporting, using Python, SQL, Spark, Databricks, Snowflake, and AWS.
Those that list pay offer a median of $178,000 a year. The middle half pay between $141,000 and $205,000.
| Level | Range | Middle half ยท median |
|---|---|---|
| All levels | $141Kโ$205K ยท $178K |
22% of these listings post pay. From 54 listings with pay in USD, at most three per company.
6% of these listings are open worldwide and 2% to a whole region, like Europe or Latin America. The other 91% hire in specific countries:
From 431 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 217 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.
Half stop taking applications within 28 days of being posted, and 1 in 4 within 10 days. Applying in the first week counts.
10 days
1 in 4 closed by then
28 days
Half closed by then
57 days
3 in 4 closed by then
From 220 listings that closed in the last 120 days, at most three per company.