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Job not on LinkedIn
🔥 4 hours ago
Job not on LinkedIn
Building data platforms for AI products used by Fortune 500 companies. Transforming market research documents into intelligent systems for decision-making.
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Kotlin
Python
Rust
Terraform
TypeScript
Job not on LinkedIn
🔥 12 hours ago
Job not on LinkedIn
1001 - 5000
Data Engineer specialist developing a scalable data ingestion platform using modern AI techniques. Contributing to a robust technological base within Grupo Casas Bahia for data automation.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
Azure
Cloud
ETL
Google Cloud Platform
Kafka
NoSQL
Spark
SQL
Terraform
Unity
🔥 18 hours ago
51 - 200
Senior Data Engineer handling data engineering responsibilities at PetroApp. Involves designing scalable data pipelines and providing technical mentorship.
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
ERP
ETL
Google Cloud Platform
Kafka
Python
Spark
SQL
Tableau
Job not on LinkedIn
🔥 21 hours ago
Job not on LinkedIn
5001 - 10000
Data Engineer building and maintaining scalable data pipelines at Monks. Collaborating with Data Science to leverage machine learning for actionable insights.
Cloud
Python
SQL
🔥 21 hours ago
Data Engineering Intern responsible for maintaining data pipelines and supporting analytics at Hone Health. Collaborate with data teams and work with new technologies in a remote-first environment.
Azure
Cloud
ETL
PySpark
Python
SQL
🕒 Yesterday
Data Engineer II at Mrsool designing scalable data platforms and data pipelines. Working with large data technologies for analytics and decision-making across the organization.
Apache
BigQuery
Cloud
Kafka
Python
Scala
Spark
SQL
🕒 Yesterday
Senior Data Engineer developing data systems, ETL pipelines, and automation at Spokeo. Building scalable data solutions and collaborating with data science teams using AWS, Spark, and Python.
🇺🇸 United States – Remote
💵 $143.1k - $174.6k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
AWS
Distributed Systems
DynamoDB
ElasticSearch
ETL
PySpark
Python
Spark
SQL
🕒 Yesterday
Data Engineer developing and maintaining data pipelines for the USMC Logistics Data Systems Program. This remote role involves collaboration and technical solution design for logistics data.
Airflow
AWS
Azure
Cloud
Cyber Security
ETL
Python
Spark
SQL
🕒 Yesterday
Senior Data Engineer building high-performance data infrastructure for regulatory reporting at DraftKings. Collaborating with cross-functional teams to enhance data quality and support business operations.
AWS
Cloud
ETL
Kafka
Python
SQL
Terraform
🕒 Yesterday
Senior Data Engineer building scalable data infrastructure for financial operations at DraftKings. Collaborating across teams to develop data solutions and enhance regulatory reporting capabilities.
AWS
Cloud
ETL
Kafka
Python
SQL
Terraform
🕒 Yesterday
Data Engineer designing and building scalable cloud-based data solutions and managing data pipelines at Mondelēz International. Ensuring data quality and collaboration across data teams.
Airflow
BigQuery
Cloud
ETL
Google Cloud Platform
Postgres
Python
SQL
Tableau
🕒 Yesterday
Data Engineer responsible for designing and implementing high-performance data infrastructure at Kyndryl. Collaborating on innovative solutions for cloud-based managed services.
AWS
Distributed Systems
Jenkins
Python
SQL
Terraform
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Data Engineering Manager at Doximity overseeing data pipelines and engineering best practices for healthcare innovation. Collaborating with diverse teams to improve physician productivity and patient care.
🏄 California – Remote
💵 $172k - $254k / year
💰 Secondary Market on 2019-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
ETL
Python
SQL
Job not on LinkedIn
🕒 Yesterday
Job not on LinkedIn
Data Platform Engineer at Tucows building reliable data systems and helping data teams accelerate their work. Collaborating with various technical teams in a remote-first environment.
🇨🇦 Canada – Remote
💵 $90.7k - $113.4k / year
💰 Post-IPO Equity on 2017-02
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏗️ Platform Engineer
AWS
Cloud
Kubernetes
Python
SQL
Terraform
🕒 Yesterday
Data Engineer II developing scalable data solutions on Unified Data Platform for Emory University's School of Medicine. Collaborating with teams to deliver high-quality analytics and research support.
Airflow
Apache
Azure
ETL
PySpark
Python
Spark
SQL
🕒 Yesterday
Senior Data Engineer responsible for designing and developing enterprise data warehouse solutions at AmeriSave Mortgage. Collaborating with teams to support data science, AI, and business intelligence requirements.
Azure
ETL
Python
SQL
Job not on LinkedIn
🕒 2 days ago
Job not on LinkedIn
Data Engineer at Traffic Label building and maintaining data pipelines for their customer data platform. Collaborating across ingestion, transformation, and campaign delivery processes.
Airflow
AWS
Docker
ETL
Python
SQL
Terraform
Job not on LinkedIn
🕒 2 days ago
Job not on LinkedIn
Data Engineer specializing in GCP and BigQuery for data migration and pipeline development. Collaborating with business and tech teams to ensure successful project execution.
🗣️🇪🇸 Spanish Required
Airflow
Apache
BigQuery
Cloud
ETL
Google Cloud Platform
Pandas
PySpark
Python
SQL
Tableau
Job not on LinkedIn
🕒 2 days ago
Job not on LinkedIn
1001 - 5000
Analyst in data engineering at ICT ITAÚ helping with innovation project. Develop automation processes for data aggregation and consolidation while collaborating with the techlead.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
Cloud
Grafana
Prometheus
Python
🕒 2 days ago
Senior Data Engineer at ClubReady optimizing reporting solutions and managing data products for enterprise clients in a remote setup. Collaborating with technical domain experts and external stakeholders for data-driven solutions.
Amazon Redshift
Azure
BigQuery
ETL
Postgres
Python
SQL
Go
+556 More Data Engineering Jobs Available!
The average salary for remote data engineering is $177,148 per year. This is based on data from 545 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level Data Engineering (0 yrs) | 17 | $65,250 |
🟢 Junior Data Engineering (1-2 yrs) | 9 | $150,525 |
🟡 Mid-level Data Engineering (2-4 yrs) | 134 | $168,160 |
🟠 Senior Data Engineering (5-9 yrs) | 280 | $178,151 |
🔴 Lead Data Engineering (10+ yrs) | 105 | $206,341 |
We analyzed 404 job listings in the last year and found it takes about 48 days for employers to close a job opening.
We reviewed 545 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills in languages such as Python, Java, or Scala, proficiency in SQL, knowledge of data warehousing and ETL processes, and familiarity with big data technologies like Hadoop and Spark. Strong analytical, problem-solving, and communication skills are also crucial for remote work.
Typically, a degree in computer science, information technology, or a related field is required. However, practical experience, a solid portfolio of data projects, and familiarity with cloud platforms like AWS or Azure can be equally important. Certifications in data engineering or related technologies may enhance your qualifications.
Responsibilities include designing and constructing scalable data pipelines, managing data storage solutions, ensuring data quality and integrity, collaborating with data scientists and analysts, and optimizing data processing workflows. You will also need to monitor system performance and troubleshoot issues as they arise.
Benefits include flexible work hours, the ability to work from anywhere, reduced commuting times, and improved work-life balance. Remote data engineering roles also provide opportunities to work with cutting-edge technologies and collaborate with diverse teams globally.
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
