Remote Data Jobs β€’ Spark

15 results

Job listings

Data Engineer (Azure)

Carenet Health βš•οΈπŸ₯🩺

Successful data engineer actively participate in the design, development, and operation of a modern data platform that supports Carenet Health’s business strategy and delivers trusted data-as-a-service capabilities with a focus on data quality, reliability, and ease of use. Partner with BI teams, analysts, and business stakeholders to design, build, and maintain Carenet Health’s enterprise data warehouse.

Senior Data Scientist, Brazil

CI&T πŸ€–πŸ’‘πŸ“Š

We are looking for a Senior Data Scientist passionate about transforming data into valuable insights. If you have experience in Python, SQL, SAS, and are proficient in Machine Learning libraries, this is the ideal opportunity for you! This role involves conducting exploratory data analysis to discover patterns, developing predictive models, and implementing NLP techniques.

Engineering Manager, Data Engineering

Webflow πŸŒπŸ’»πŸ“Š
$154,200–$247,700
USD/year
US Canada Unlimited PTO

Lead a core team within Webflow’s Data Platform organization, building the scalable, reliable, and self-service data pipelines that power analytics, AI, and product experiences across the company. Partner closely with Data Infrastructure, Analytics Engineering, and Data & Insights to improve data quality, accelerate delivery velocity, and enable data-driven decision-making across Webflow.

Analytics Engineer Associate

LinkedIn πŸ”—πŸ’ΌπŸ€

Lead data-driven recommendations and insights to support strategic projects across Central Operations, track operational performance, and provide insights and recommendations. Support company-wide programs through ownership of analytical projects and establish strong working relationships with cross-functional partners to achieve objectives. Build dashboards and automated reports using data visualization and querying/analysis tools.

Senior Engineer, Data Management

Abercrombie & Fitch Co. πŸ‘”πŸ‘–πŸ‘•
$117,000–$137,000
USD/year

The Senior Data Management Engineer will build data pipelines, model and prepare data, and perform complex data analysis to answer Business questions. This role involves building and automating data pipeline and quality framework to enable and promote self service data pipelines, and assisting in operationalizing the AI / ML Engineering solutions.

Senior Data Engineer (Contract, Brazil, Remote)

Nearform πŸ‘©β€πŸ’»πŸ’‘πŸš€

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration.

Senior Data Engineer

iCIMS β˜οΈβ„ΉοΈβ“‚οΈ
$107,200–$188,870
USD/year

Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.

$197,800–$346,200
USD/year
North America Canada Unlimited PTO

The Senior Manager of Data Management is a strategic leader responsible for defining, governing, and executing the organization’s data strategy and providing actionable insights to maximize productivity and effectiveness. This role will ensure data is treated as a critical business assetβ€”reliable, secure, compliant, and readily available to drive decision-making, innovation, and business growth.

Data Infrastructure Engineer

Quora ❓❓❓
$155,656–$225,160
USD/year

This role involves designing and scaling Quora's existing data infrastructure, improving system’s reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company. You'll be optimizing and enhancing our company’s data architecture/pipelines to support our next generation data initiatives.