FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAirflowAWSCloudDockerETLGoogle Cloud PlatformKubernetesPythonSparkSQL
About the role
Key responsibilities & impact- Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
- Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
- Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
- Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
- Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
- Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
- Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability.
Requirements
What you’ll need- 4+ years in backend data engineering or infrastructure-focused software development.
- Proficient in Python, with experience building production-grade data services.
- Solid understanding of SQL
- Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming).
- Experience building and maintaining data platforms, including lakes, pipelines, and developer tooling.
- Familiar with orchestration tools like Airflow, and modern CI/CD practices.
- Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes).
- Bonus: Experience working with GCP
- Bonus: Experience with data quality monitoring and alerting
- Bonus: Strong hands-on experience with Spark for distributed data processing at scale.
- Degree in Computer Science, Engineering, or related field.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Autofleet Website LinkedIn All Job Openings 11 - 50 employees 🚗 Transport ⚡ Energy Transport
- Software
- Energy Autofleet is a leading provider of optimization platforms for fleets, offering an end-to-end software solution for reliable and sustainable transportation services tailored for fleets and mobility operators. The company focuses on optimizing fleet operations, providing solutions for ride services, fleet planning simulation, and fleet electrification. Autofleet's platform is designed to enhance operational efficiency, reduce fleet downtime, and increase vehicle utilization. They cater to various fleet verticals including taxi and rideshare, delivery and logistics, rental and car sharing, and AV deployments, aiming to launch and optimize on-demand services while unlocking new business models. Senior Data Engineer 🔥 38 minutes ago 🏢🏡 Tel Aviv-Yafo – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Airflow AWS Cloud Docker ETL Google Cloud Platform Kubernetes Python Spark SQL Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design, implement, and maintain robust, scalable data pipelines for batch and real-time processing using Spark, and other modern tools.
- Own the backend data infrastructure, including ingestion, transformation, validation, and orchestration of large-scale datasets.
- Leverage Google Cloud Platform (GCP) services to architect and operate scalable, secure, and cost-effective data solutions across the pipeline lifecycle.
- Develop and optimize ETL/ELT workflows across multiple environments to support internal applications, analytics, and machine learning workflows.
- Build and maintain data marts and data models with a focus on performance, data quality, and long-term maintainability.
- Collaborate with cross-functional teams including development teams, product managers, and external stakeholders to understand and translate data requirements into scalable solutions.
- Help drive architectural decisions around distributed data processing, pipeline reliability, and scalability. 🎯 Requirements
- 4+ years in backend data engineering or infrastructure-focused software development.
- Proficient in Python, with experience building production-grade data services.
- Solid understanding of SQL
- Proven track record designing and operating scalable, low-latency data pipelines (batch and streaming).
- Experience building and maintaining data platforms, including lakes, pipelines, and developer tooling.
- Familiar with orchestration tools like Airflow, and modern CI/CD practices.
- Comfortable working in cloud-native environments (AWS, GCP), including containerization (e.g., Docker, Kubernetes).
- Bonus: Experience working with GCP
- Bonus: Experience with data quality monitoring and alerting
- Bonus: Strong hands-on experience with Spark for distributed data processing at scale.
- Degree in Computer Science, Engineering, or related field. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLSparkETLELTdata modelingdata pipeline designdata quality monitoringcontainerizationCI/CD
Soft Skills
collaborationcommunicationproblem-solvingarchitectural decision-making
Certifications
Degree in Computer ScienceDegree in Engineering
