Solutions Architect, German speaker
Design and architect scalable applications and systems using MongoDB. Collaborate with the sales team to drive account success and ensure customer satisfaction.
Remote Data Engineering Jobs
Browse 2,195 Remote Data Engineering Jobs, with 258 added this week. Pay averages $161,818 a year, from $74K for entry-level roles to $183K for lead roles. Open roles include Data Engineer, Software Engineer and Data Scientist.
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Design and architect scalable applications and systems using MongoDB. Collaborate with the sales team to drive account success and ensure customer satisfaction.
The Director of Strategy & Analytics will lead a small team to conduct analyses of operational trends and provide actionable insights. They will also drive data analysis as an individual contributor and collaborate with various teams to define tests and communicate results.
Implement ETL/ELT solutions and maintain data pipelines for large volumes of data. Collaborate with teams to ensure data security and optimize data processing systems.
The Data Analyst will lead data pipeline projects and mentor junior engineers. They will be responsible for building and optimizing ETL/ELT pipelines and collaborating with cross-functional teams.
The Databricks Developer will build and maintain data pipelines using Apache Spark on Databricks and ensure data handling follows security and governance standards. They will also investigate and fix issues in production environments.
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The Data Engineer will design, build, and optimize ETL/ELT workflows and develop scalable data pipelines. They will also collaborate with cross-functional teams to deliver impactful data solutions.
Design, implement, and maintain modern data pipelines utilizing cloud technologies. Act as a trusted advisor to customers, providing best practices and methodologies for data engineering solutions.
Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies. Act as a trusted advisor to customers, providing best practices and methodologies for data engineering solutions.
Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies. Act as a trusted advisor to customers, providing best practices and methodologies for data engineering solutions.
The Lead Data Engineer will design, implement, and maintain modern data pipelines while serving as a trusted advisor to customers. They will collaborate with product owners and business SMEs to analyze requirements and ensure technical solutions align with customer needs.
Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies. Act as a trusted advisor to customers, providing best practices and methodologies for data engineering solutions.
Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies. Act as a trusted advisor to customers, providing best practices and methodologies for data engineering solutions.
The Lead Data Engineer will design, implement, and maintain modern data pipelines while serving as a trusted advisor to customers. They will collaborate with product owners and business SMEs to analyze requirements and ensure technical solutions align with customer needs.
The Lead Data Engineer will design, implement, and maintain modern data pipelines while serving as a trusted advisor to customers on best practices and technologies. They will collaborate with product owners and business SMEs to analyze requirements and ensure technical solutions align with customer needs.
The Head of Data will lead the data organization, establishing best practices for data management and overseeing the application of machine learning in products. This role includes building data architecture and managing a team to enhance organizational capabilities.
The role involves leading data engineering teams and ensuring the successful completion of data components and deliverables. It also includes maintaining high-quality data pipelines for legal research tools and AI-driven solutions.
You will build cloud-based, event-driven software systems and work with the data scientist team to build machine learning pipelines. You will contribute to software across the development lifecycle and identify improvements in internal processes.
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As a Senior Data Engineer, you will design and build mission-critical data services that analyze blockchain transaction activity at petabyte scale. You will collaborate with data scientists, backend engineers, and product managers to enhance TRM’s products.
Architect and lead the development of enterprise-scale data and AI platforms, ensuring alignment with business goals and technology strategy. Collaborate with cross-functional teams to translate requirements into high-impact technical solutions.
The Senior Analyst will support the Director in building a business-facing reporting function within the Global Commercial Operations team. This role involves providing key analytical support across various functions and transforming basic reporting into strategic analytics to monitor performance against key indicators.
The Data Scientist will partner with various teams to investigate key business questions related to revenue growth and member behavior. They will develop member behavioral segmentations and translate complex analytical outputs into actionable insights for decision-makers.
As a Senior Associate, Business Operations, you will champion data-driven decisions across critical business initiatives and partner with various teams to integrate customer performance insights into strategies. You will lead the design and analysis of A/B experiments and identify opportunities to optimize operational efficiency.
As a Senior Associate, Business Operations, you will champion data-driven decisions across critical business initiatives and partner with various teams to integrate customer performance insights into strategies. You will lead the design and analysis of A/B experiments to inform product and business strategies.
As a Senior Associate, Business Operations, you will champion data-driven decisions across critical business initiatives and partner with various teams to integrate customer performance insights into strategies. You will lead the design and analysis of A/B experiments to inform product and business strategies.
Design, develop, and deploy sophisticated machine learning and GenAI models to solve complex data problems at scale. Collaborate with other engineers and product managers to build robust, high-performance Python-based analytics pipelines.
The Director, Advanced Analytics & AI is responsible for spearheading the strategy, development, and application of advanced analytics, machine learning, and artificial intelligence to optimize commercial operations. This role will oversee the deployment of advanced analytics driven tools, predictive analytics, and data science methodologies to drive revenue growth and enhance business decision-making.
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The Director, Advanced Analytics & AI is responsible for spearheading the strategy, development, and application of advanced analytics, machine learning, and artificial intelligence to optimize commercial operations. This role will oversee the deployment of advanced analytics driven tools, predictive analytics, and data science methodologies to drive revenue growth and enhance business decision-making.
As a Lead Analytics Engineer, you'll architect the data foundation that powers strategic decisions across the organization. You'll transform raw data into trusted, reusable data products using DBT and modern data tools.
The Lead Business Systems Analyst will design, build, and maintain scalable data models and transformation pipelines for analytics and business intelligence. Collaboration with data analysts, engineers, and business stakeholders is essential to ensure data accuracy and accessibility.
Develop and implement QA strategies for data workflows and validate data quality across Power BI reports. Collaborate with cross-functional teams to ensure data integrity and resolve data-related issues.
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The average salary for Remote Data Engineering Roles is $161,818 per year. This is based on data from 407 job openings. We use the yearly salaries in US dollars from these job postings to calculate salary expectations. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Average salary |
|---|---|---|
| Entry-level0–2 years | 4 | $74,466 |
| Junior2–5 years | 67 | $129,475 |
| Senior5–10 years | 222 | $162,325 |
| Lead10+ years | 114 | $182,904 |
We reviewed 947 job postings for Remote Data Engineering Roles and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| SQL | 64% |
| Python | 62% |
| Data Engineering | 61% |
| Data modeling | 41% |
| Data Governance | 28% |
| CI/CD | 27% |
| Databricks | 22% |
| Snowflake | 22% |
| AWS | 21% |
| Data pipelines | 20% |
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