Remote Data Engineer Jobs (1,317)
Senior Data Engineer
The role involves performing senior-level data engineering tasks within the StructureIt department. Responsibilities include managing data infrastructure and ensuring efficient data processing workflows.
Data Engineer
You will design and operate secure, high-performance data pipelines to modernize public health data flows and ensure reliable interoperability. This role involves collaborating with cross-functional teams to migrate legacy systems and maintain stable, scalable data architectures.
Senior Collections Data Engineer (US-Remote)
Design and scale high-volume data collection systems to gather threat intelligence from open, deep, and dark web sources. Build and maintain robust, fault-tolerant data pipelines and agentic workflows to process and enrich threat data.
Senior Data Engineer
Design, build, and manage scalable data products and pipelines using modern engineering practices and tools. Collaborate with cross-functional teams to ensure data quality, governance, and performance across the end-to-end lifecycle.
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Senior Data Engineer
The Senior Data Engineer designs, develops, and maintains scalable data pipelines and enterprise data solutions to support operational and analytical needs. This role provides technical leadership in advancing data infrastructure and collaborates with cross-functional teams to optimize data processing workflows.
R00365121 - Google Senior Data Engineer
You will design and implement modern data, analytics, and AI solutions on Google Cloud Platform. This includes building data pipelines, developing ML models, and collaborating with clients to translate business needs into technical implementations.
Lead Data Engineer
Lead the design, development, and deployment of secure, scalable data pipelines and event-driven platform components. Provide technical leadership to delivery teams while performing hands-on engineering to modernize client data estates.
Data Engineer (m/f/d)
You will operate and develop a Databricks-based data platform while building robust ETL/ELT pipelines for various business data sources. Additionally, you will design scalable data architectures, implement quality checks, and provide data interfaces for AI and MLOps use cases.
![CI&T is hiring for remote [Job-32524] Mid Level Data Engineer, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
[Job-32524] Mid Level Data Engineer, Brazil
The role involves maintaining and optimizing data pipelines, Power BI reports, and SSIS packages to ensure reliable data integration and high-quality reporting. You will also be responsible for troubleshooting technical issues, managing data warehouse solutions, and supporting data-driven decision-making processes.
Data Engineer Senior (BI-ETL) | Databricks
You will design, build, and evolve robust data pipelines and analytical models using tools like Databricks, Airflow, and dbt. Additionally, you will optimize data architecture and performance while collaborating with business and BI teams to deliver sustainable data solutions.
Senior Data Engineer
Design, build, and deploy enterprise-scale cloud data solutions and healthcare analytics platforms using Azure and Big Data technologies. Collaborate with cross-functional teams to automate workflows, enforce data governance, and optimize system performance.
Senior Data Engineer (Stockholm)
You will drive the architecture for user-data handling and lead the migration of existing pipelines while ensuring output consistency. Additionally, you will establish engineering processes, mentor team members, and handle incident management.
Senior Data Engineer
Design and build a scalable customer data mart while managing real-time data streaming between backend systems and marketing platforms. Maintain robust backend APIs and orchestrate data pipelines using GCP services and infrastructure as code.
Data Engineer
Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling. Collaborate with cross-functional teams to translate business requirements into reliable, well-documented data solutions that support analytics, BI, and ML.
Data Engineer (Databricks+Snowflake)
Lead the migration of banking data assets from legacy systems to modern platforms like Snowflake and Databricks. Design, optimize, and maintain complex ETL pipelines while collaborating with stakeholders to define data requirements.
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Senior Data Engineer
The Senior Data Engineer will design and optimize scalable data pipelines and architecture to support analytics, reporting, and machine learning workloads. They will also lead initiatives to improve data observability, cost efficiency, and performance while mentoring other engineers.
Senior Data Engineer
The Senior Data Engineer will design, develop, and optimize scalable ETL pipelines and cloud-based data warehouse solutions using Amazon Redshift. They will also lead the modernization of legacy SQL Server and SSRS reporting systems into a secure, governed AWS architecture.
Sr. Data Engineer
The role involves leading multi-functional development activities and managing scalable data, analytics, and automation solutions. You will also mentor technical teams and partner with stakeholders to drive data-informed decision-making and business impact.
Data Engineer I
The Data Engineer I develops and maintains robust data pipelines, ETL processes, and custom reporting solutions using AI and SQL. They collaborate cross-functionally to manage EDI file development and ensure data reliability across systems.
Senior Data Engineer
The Senior Data Engineer will design and implement robust ETL/ELT data pipelines to support analytical and machine learning workloads. They will also model the core data domain and establish data governance standards to ensure high-quality, secure data access.
Data Engineer
The Data Engineer will design, develop, and maintain secure data pipelines and analytics infrastructure to support Department of Defense modernization initiatives. They will integrate structured and unstructured data across cloud environments while ensuring data consistency, security, and performance.
Data Engineer
The Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines to support cloud-native data solutions for healthcare clients. This role involves collaborating with cross-functional teams to optimize data schemas, ensure data integrity, and implement automated CI/CD workflows.
Data Engineer II
The Data Engineer will design, develop, and maintain reliable data solutions while performing data profiling, validation, and quality management. They will also collaborate with stakeholders to translate requirements into scalable solutions and identify opportunities for AI-assisted automation.
Data Engineer II
The Data Engineer will design, develop, and maintain reliable data solutions while performing data profiling, validation, and quality management. They will also collaborate with stakeholders to translate requirements into scalable solutions and identify opportunities for AI-assisted automation.
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Principal Data Engineer
The Principal Data Engineer will lead the design and implementation of complex data pipelines and architectural frameworks across Snowflake and AWS. This role involves partnering with business stakeholders to modernize data platforms while establishing engineering standards for quality, security, and operational reliability.
188. Senior Data Engineer
Lead technical work for customers on the Ascend 2.0 platform and act as the primary escalation point for a small engineering team. Work directly with clients to resolve data issues, perform root cause analysis, and provide production support.
Lead Data Engineer
The Lead Data Engineer will design and implement scalable data pipelines, real-time streaming solutions, and enterprise data platforms. They will provide technical leadership, mentor engineering staff, and ensure data quality, security, and governance standards are met.
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Top Companies Hiring Remote Data Engineers
How much do remote Data Engineer jobs pay?
The average salary for remote Data Engineers is $150,622 per year. This is based on data from 184 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 | 6 | $72,045 |
| Junior2–5 years | 45 | $129,072 |
| Senior5–10 years | 105 | $159,576 |
| Lead10+ years | 28 | $168,517 |
What skills do remote Data Engineer jobs ask for?
We reviewed 529 job postings for remote Data Engineers and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| SQL | 85% |
| Python | 79% |
| Data Engineering | 70% |
| Data Modeling | 63% |
| Data pipelines | 36% |
| CI/CD | 30% |
| Databricks | 29% |
| Snowflake | 29% |
| Data quality | 28% |
| AWS | 27% |