6 hours ago
Data Engineer responsible for developing data infrastructure and ensuring efficient data pipelines for CCR Media.
17 hours ago
Join Luxury Presence as a Data Analytics Engineer, building data solutions for real estate technology advancement.
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.
3 days ago
Lead data engineering initiatives at a fast-growing InsurTech company from Silicon Valley, focusing on analytics capabilities.
3 days ago
Join Vibrent as a Research Data Engineer to bridge research and engineering in digital health. Transform data for meaningful health insights and outcomes.
4 days ago
Join a medtech startup to build and maintain data pipelines and databases for AI-based MRI analysis.
4 days ago
Lead client data engineering in a growing healthcare tech company managing a global team.
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 to develop scalable data pipelines for investment finance.
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 to develop and maintain data pipelines in investment finance, supporting critical analytics.
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 focusing on scalable data pipelines in investment finance.
4 days ago
Join CMG as a Data Engineer to build scalable data architectures for investment finance data analytics.
4 days ago
Oversee data engineering at Crux, spearheading pipeline development and team leadership within a SaaS environment.
4 days ago
Join Edelman as a Data Engineer, designing scalable data systems and optimizing workflows in a collaborative environment.
+-19 More Jobs Available!
Join now to unlock all job opportunities.
Auto Insurance • Life Insurance • Retirement Planning
10,000+ employees
💰 Post-IPO Equity on 2014-01
Mental Health • SGBV • Trauma Informed Interventions for Survivors, Caregivers and Adolescents
11 - 50
The average salary for remote data engineering is $177,069 per year. This is based on data from 105 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 |
---|---|---|
🟢 Junior Data Engineering (1-2 yrs) | 7 | $96,986 |
🟡 Mid-level Data Engineering (2-4 yrs) | 28 | $153,646 |
🟠 Senior Data Engineering (5-9 yrs) | 46 | $177,128 |
🔴 Lead Data Engineering (10+ yrs) | 24 | $227,640 |
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 use powerful scraping tech to scan the internet for thousands of remote jobs daily. It operates 24/7 and costs us to operate, so we charge for access to keep the site running.
Of course! You can cancel your subscription at any time with no hidden fees or penalties. Once canceled, you’ll still have access until the end of your current billing period.
Other job boards only have jobs from companies pay to post. This means that you miss out on jobs from companies that don't want to pay. On the other hand, Remote Rocketship scrapes the internets for jobs and doesn't accept payments from companies. This means we have thousands of more jobs!
New jobs are constantly being posted. We check each company website every day to ensure we have the most up-to-date job listings.
Yes! We’re always looking to expand our listings and appreciate any suggestions from our community. Just send an email to Lior@remoterocketship.com. I read every request.
Remote Rocketship is a solo project by me, Lior Neu-ner. I built this website for my wife when she was looking for a job! She was having a hard time finding remote jobs, so I decided to build her a tool that would search the internet for her.