555 total jobs
99 new jobs this week
The Senior Data Analytics Engineer designs, builds, and enhances analytics data products, leading a team to ensure effective data solutions and stakeholder engagement.
Lead and mentor a team of data engineers while designing and scaling data solutions for Journey Analytics, focusing on code quality and reliable data platforms.
Lead and mentor a team of data engineers to design and scale data solutions for Journey Analytics, focusing on code quality, reusability, and reliable data platforms.
Designs scalable data pipelines, contracts, and transformation layers, modeling complex datasets into performant analytics and building shared observability tools that support customer-facing products.
A Principal Data Engineer will modernize core data systems, shape data strategy, and build secure, scalable pipelines and real-time analytics that support cybersecurity products and xOT asset discovery.
Design, build, and scale data systems to enhance operational efficiency, ensuring reliable data pipelines and governance while collaborating with cross-functional teams.
Design and optimize reliable data pipelines and Snowflake ingestion architectures, transforming and validating large datasets for analytics and business workflows in collaboration with cross-functional teams.
As a Data Engineer at Eneba, you will create and maintain data pipelines, collaborate with ML engineers, and build data infrastructure to support analytics and decision-making.
As a Senior Data Engineer, you will design and manage scalable data pipelines, ensuring data quality and governance while collaborating with data scientists and stakeholders.
Leads the design of Snowflake and AWS data platforms, building scalable ingestion and ELT pipelines with strong data quality, governance, and reliability for enterprise analytics workflows.
Leads the design of Snowflake and AWS data platforms, building scalable ingestion and ELT pipelines while advancing data quality, governance, and reliability for enterprise analytics workflows.
As an AI-First Data Engineer, you'll build and optimize cloud-native data pipelines, ensuring data reliability and supporting analytics and AI across thousands of studios.
As an AI-First Data Engineer, you'll build and optimize cloud-native data pipelines, ensuring data reliability and supporting AI and analytics for thousands of gyms and millions of members.
Design and optimize scalable data pipelines and Snowflake ingestion architectures, using Python and SQL to transform, validate, and deliver reliable datasets for analytics and business workflows.
Design and optimize reliable data pipelines and Snowflake ingestion architectures, transforming and validating large datasets for analytics and business workflows in collaboration with cross-functional teams.
Designs and operates scalable data and AI platform capabilities, building reusable services and workflows while applying generative AI to improve data discovery, governance, and engineering productivity.
Develop Snowflake-based governance and privacy solutions, automate data protection workflows, and build scalable data pipelines that strengthen data quality, security, and compliance across enterprise platforms.
Develop Snowflake-based governance and privacy solutions, automate data protection workflows, and build scalable data pipelines and architectures that improve data quality, security, and warehouse performance.
Develop Snowflake-based governance and privacy solutions, automate data protection workflows, and build scalable data pipelines that improve data quality, security, and compliance across enterprise platforms.
Develop Snowflake-based governance and privacy solutions, automate data protection workflows, and build scalable data pipelines while improving data quality, security, and warehouse performance.
Develop Snowflake-based governance and privacy solutions, automate data protection workflows, and build scalable data pipelines while improving data quality, security, compliance, and warehouse performance.
Develop Snowflake governance and privacy solutions, automate data protection workflows, and build scalable data pipelines while improving data quality, security, and warehouse performance.
Design, develop, and implement scalable cloud data infrastructures while optimizing data ingestion processes and collaborating with analytics teams.
Design and lead scalable data architectures, models, and pipelines, improving platform performance and data quality while partnering across teams to deliver reliable analytics and machine-learning data systems.
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 · median |
|---|---|---|
| All levels | $141K–$205K · $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.
