6 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.
2 days ago
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.
3 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.
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 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
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 scalable data pipelines for investment finance.
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 a fintech company to develop and optimize our data platforms and infrastructures for analytics and machine learning.
5 days ago
Join TRACTIAN as a Data Infrastructure Engineer to design innovative database solutions in IoT domain.
5 days ago
Join TRACTIAN as a Data Infrastructure Engineer, developing single-tenancy database solutions for IoT data. Optimize SQL performance and transition multi-tenant infrastructure to enhance data security.
6 days ago
10,000+ employees
As an architect at Arity, design scalable solutions for real-time traffic engineering systems. Collaborate with skilled teams on cloud-native architectures and cutting-edge technologies.
🇺🇸 United States – Remote
💵 $134.4k - $217.3k / year
💰 Post-IPO Equity on 2014-01
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
December 13
Engineer focused on Technical projects with Autonomous Systems and integration into Affectli platform working with system engineers.
December 13
ICT DIRECT seeks Data Engineers to work in diverse industries, transforming data into valuable insights.
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The average salary for remote big data engineers is $191,958 per year. This is based on data from 5 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 Big Data Engineer (2-4 yrs) | 1 | $181,500 |
🟠 Senior Big Data Engineer (5-9 yrs) | 4 | $194,573 |
You need strong programming skills in languages like Python, Java, or Scala, proficiency in big data technologies such as Hadoop, Spark, and Kafka, and a solid understanding of data modeling, ETL processes, and distributed systems. Analytical skills and problem-solving abilities are also crucial.
Typically, a degree in computer science, information technology, or a related field is required. Relevant certifications in big data technologies or cloud platforms can enhance your profile. Practical experience and a strong portfolio of projects are often more valuable than formal education.
Responsibilities include designing and managing big data pipelines, optimizing data storage and retrieval processes, ensuring data quality and integrity, collaborating with data scientists and analysts, and generating actionable insights from large datasets.
Benefits include flexible working conditions, the ability to work from various locations, strong demand for skills leading to job security, and competitive salaries. Remote work also allows for greater flexibility in balancing personal and professional life.
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