552 total jobs
99 new jobs this week
Seeking a Senior Data Engineer to lead complex projects, design scalable pipelines, and mentor engineers while supporting a fast-paced SaaS data platform.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and models, leveraging expertise in SQL, Snowflake, dbt, and Python to support analytics and business intelligence efforts.
Design and implement advanced data and agentic systems, focusing on building production agents and workflows while ensuring data governance and observability.
Architect and operate low-latency market data infrastructure, from feed handling and normalization to distribution and venue connectivity, while guiding a lean team and improving reliability for institutional trading systems.
Design and develop modern lakehouse architectures on GCP, focusing on Python and Spark to create reusable data-sharing adapters for BigQuery, Snowflake, and Databricks.
As a Data Engineer, you will design scalable data solutions, develop ETL/ELT pipelines, and ensure data quality and compliance while collaborating with cross-functional teams.
Lead electrical design across data center facilities, owning power architecture from utility service entrance to rack while developing modular delivery strategies and guiding construction, commissioning, and vendor coordination.
Lead mechanical design direction for data center cooling, plumbing, and fire protection systems, guiding external partners from concept through commissioning and advancing modular delivery for reliable, scalable facilities.
Lead the data and analytics functions to enhance Zero Trust maturity assessments and implementation measurements through effective data modeling and analytics.
Design and scale data integrations, contracts, and transformation pipelines for analytics and customer-facing products, while advancing data governance, observability, and shared engineering tools.
Join Splice as a Data Engineer II to enhance the platform that supports creator payouts, revenue reporting, and product analytics through reliable data engineering practices.
As a Data Engineer Specialist, you will support data exploration, cleaning, and analysis, contributing to data quality assessments and building scripts and pipelines using Python/Pyspark.
Build and operate production-grade data systems, transforming unstructured data into performant datasets and partnering across teams to inform customer experiences, products, and company strategy.
Own and optimize the StarRocks-backed serving layer and data pipelines for government cloud investigations, improving performance, reliability, and incident response in a regulated, high-availability environment.
Own and improve the StarRocks-backed serving layer and data pipelines for government cloud investigations, tuning performance, strengthening reliability, and resolving production issues with AI-assisted workflows.
Own and improve the StarRocks-backed serving layer for government cloud investigations, tuning queries, hardening data pipelines, and resolving production issues with AI-assisted workflows in a high-compliance environment.
Own and improve the StarRocks serving layer and data pipelines powering government cloud investigations, using AI-assisted profiling and debugging to strengthen performance, reliability, and incident response.
Own and improve the StarRocks-backed serving layer and data pipelines for government cloud investigations, tuning performance, strengthening reliability, and resolving production issues with AI-assisted workflows.
Own and optimize the StarRocks-backed serving layer and data pipelines powering government cloud investigations, improving performance, reliability, and incident response in a regulated, high-availability environment.
Own and optimize the StarRocks serving layer and data pipelines powering government cloud investigations, improving performance, reliability, and incident response in a regulated, high-availability environment.
As a Senior Data Engineer, you will lead the migration of a large-scale analytical platform to Databricks, designing scalable Lakehouse architectures and optimizing data processing solutions.
As a Senior Data Engineer, you will lead the migration of a large-scale analytical platform to Databricks, designing scalable Lakehouse architectures and optimizing data pipelines.
Leads hands-on development of scalable healthcare data pipelines and semantic layers on GCP, while guiding automation, reliability, and technical delivery for enterprise analytics and reporting.
Design, build, and scale enterprise data infrastructure across Microsoft SQL Server, PostgreSQL, and MongoDB ecosystems as a Senior Database Engineer.
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.
