2 hours ago
Lead technical implementation of data transformation projects on Microsoft Fabric for Bay Cities Container. Partner with business users to ensure platform meets evolving data needs.
2 hours ago
Lead technical implementation of data transformation projects on Microsoft Fabric for Bay Cities Container. Partner with business users to ensure platform meets evolving data needs.
3 hours ago
Data Engineer responsible for developing data infrastructure and ensuring efficient data pipelines for CCR Media.
Yesterday
11 - 50
Seeking a Data Engineer to design and manage data infrastructures for It's Prodigy's clients.
Yesterday
Drive data-driven decisions and enhance veterinary practice through data strategy and engineering.
2 days ago
Join Particle41 as a Data Engineer, designing and maintaining data infrastructure for clients' needs.
2 days ago
As Sr. Manager of Data Platform Engineering, enhance data reliability and scalability at Vimeo.
🇺🇸 United States – Remote
🗽 New York – Remote
💵 $150.3k - $228.5k / year
💰 $3G Private Equity Round on 2021-01
⏰ Full Time
🟠 Senior
🏗️ Platform Engineer
🦅 H1B Visa Sponsor
2 days ago
Join CivicPlus as a Data Engineer supporting AI and ML projects by maintaining data infrastructure and pipelines.
🇺🇸 United States – Remote
💵 $115k - $125k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
3 days ago
Join a rapidly growing EdTech company as a Data Engineer to optimize database interactions and improve data workflows.
3 days ago
Join a rapidly growing EdTech company as a Data Platform Analyst to enhance data capabilities.
4 days ago
As a Data Infrastructure Engineer at TRACTIAN, design secure database solutions and optimize performance.
4 days ago
Join CMG as a Data Engineer focusing on scalable data pipelines in investment finance.
4 days ago
Join CMG as a Data Engineer; build scalable data pipelines and architecture in finance.
4 days ago
Join CMG as a Data Engineer to develop and maintain data pipelines in investment finance, supporting critical analytics.
4 days ago
CMG is seeking a Data Engineer to build scalable data architecture and pipelines. Join a finance tech firm innovating in capital markets.
4 days ago
As a Data Engineer at MedScout, optimize data infrastructure for healthcare claims processing and collaborate with engineering.
4 days ago
Join Remo to develop and maintain data analytics for dementia care. Be a key member driving data insights.
4 days ago
Join Hiveon as a Database/Data Engineer to optimize operations for a high-load HPC product.
4 days ago
Join a fintech company to develop and optimize our data platforms and infrastructures for analytics and machine learning.
4 days ago
Join a fintech company to develop and optimize our data platforms and infrastructures for analytics and machine learning.
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Join now to unlock all job opportunities.
The average salary for remote data platform engineers is $161,781 per year. This is based on data from 28 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 |
---|---|---|
🟡 Mid-level Data Platform Engineer (2-4 yrs) | 10 | $141,595 |
🟠 Senior Data Platform Engineer (5-9 yrs) | 14 | $171,439 |
🔴 Lead Data Platform Engineer (10+ yrs) | 4 | $178,440 |
You need strong programming skills (Python, Java, or Scala), proficiency in database technologies (SQL, NoSQL), data modeling, and ETL processes. Familiarity with cloud platforms like AWS, Azure, or Google Cloud and data pipeline tools is also essential, along with problem-solving and analytical skills.
Typically, a degree in computer science, information technology, or a related field is required. Experience in software development and data engineering is valuable, alongside certifications in cloud services or data engineering tools.
Responsibilities include designing, building, and maintaining data platforms, developing and optimizing data pipelines, ensuring data integrity and security, collaborating with data scientists and analysts, and troubleshooting data-related issues.
Benefits include flexible work arrangements, the ability to work from anywhere, reduced commuting costs, access to diverse job opportunities, and improved work-life balance. Remote work also allows for collaboration with global teams and exposure to various technologies.
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