Data Engineer (Remote – Global Team)

AI summary

Data engineer role for a US-based company, fully remote, open to candidates in Nigeria and other regions. Requires 4+ years experience in data engineering, Python, SQL, and cloud platforms. Salary $2,500-$3,200 USD per month.

• Full-time remote contract with US-based company
• Salary $2,500 - $3,200 USD per month
• Open to candidates in Nigeria, Africa, and other regions
• 4+ years of data engineering experience required

Original source description

Job Overview Experience: Intermediate Level Job Type Full time Work Mode Fully remote Education: Bachelor Openings 31 positions Category Data Science & Analytics ₦3,450,000 – ₦4,416,000 per Monthly Job Description Data Engineer (Remote – Global Team) Location Remote — Open to candidates in India, Pakistan, Africa, Latin America (LATAM), and Eastern/Southern Europe Salary $2,500 – $3,200 USD per month (Full-Time Remote Contract) ________________________________________ About the Role We are looking for a skilled Data Engineer with 4+ years of experience: to join our growing global engineering team. You will work remotely with a U.S.-based company, collaborating with experienced engineers to build scalable data infrastructure that powers analytics, reporting, and machine learning systems. This is an excellent opportunity for engineers who want to gain real-world experience: working with U.S. companies, develop expertise in modern cloud data platforms, and contribute to meaningful technical projects. You do not need a U.S. visa for this role. We welcome talented engineers from around the world who are eager to collaborate with international teams and grow their careers. ________________________________________ What You’ll Work On As a Data Engineer, you will help design and maintain data systems that process and transform large datasets for analytics and operational systems. Your work may include: • Building scalable ETL/ELT pipelines • Developing batch and real-time data pipelines • Designing cloud-based data platforms • Implementing data quality and monitoring frameworks • Optimizing data processing performance • Supporting analytics and machine learning teams with reliable datasets You will gain hands-on experience: with modern technologies used by leading global companies. ________________________________________ Key Responsibilities: Data Pipeline Development • Design and implement scalable data pipelines for ingesting and processing structured and unstructured data. • Build batch and streaming data workflows using distributed processing frameworks. Cloud Data Infrastructure • Develop and maintain cloud-native data platforms on AWS, Azure, or GCP. • Work with data lakes, warehouses, and lakehouse architectures. Data Quality & Reliability • Implement data validation, monitoring, and alerting frameworks. • Ensure data pipelines are reliable, scalable, and production-ready. Collaboration • Work closely with international engineering teams and stakeholders. • Participate in technical discussions, architecture design, and problem-solving. ________________________________________ Required Skills & Experience: • 4+ years of experience: in Data Engineering or a related role • Strong programming skills in Python, SQL, Scala, or Java • Experience: building ETL/ELT data pipelines • Experience: with distributed data processing frameworks (Apache Spark preferred) • Familiarity with cloud platforms (AWS, Azure, or GCP) • Experience: working with data warehouses or data lakes • Strong SQL and data modeling skills • Good English communication skills for working with international teams ________________________________________ Nice to Have • Experience: with Apache Kafka or streaming data pipelines • Experience: with Databricks or Spark-based architectures • Familiarity with Apache Airflow or workflow orchestration tools • Experience: with Docker, Kubernetes, or Terraform • Experience: supporting analytics or machine learning data pipelines ________________________________________ Technologies You May Work With • Languages: Python, SQL, Scala • Processing: Apache Spark, Databricks • Streaming: Kafka • Orchestration: Apache Airflow • Storage: S3, Delta Lake, Snowflake • Cloud: AWS / Azure / GCP • Infrastructure: Docker, Kubernetes, Terraform ________________________________________ Why Join Us 🌎 Work remotely with a U.S.-based company 💻 Fully remote position — work from anywhere 🚀 Exposure to modern data engineering technologies 📈 Opportunity to grow your technical expertise 🤝 Collaborate with experienced global engineers 🧠 Work on real-world data engineering challenges Requirements: Required Skills & Experience: • 4+ years of experience: in Data Engineering or a related role • Strong programming skills in Python, SQL, Scala, or Java • Experience: building ETL/ELT data pipelines • Experience: with distributed data processing frameworks (Apache Spark preferred) • Familiarity with cloud platforms (AWS, Azure, or GCP) • Experience: working with data warehouses or data lakes • Strong SQL and data modeling skills • Good English communication skills for working with international teams Responsibilities: Key Responsibilities: Data Pipeline Development • Design and implement scalable data pipelines for ingesting and processing structured and unstructured data. • Build batch and streaming data workflows using distributed processing frameworks. Cloud Data Infrastructure • Develop and maintain cloud-native data platforms on AWS, Azure, or GCP. • Work with data lakes, warehouses, and lakehouse architectures. Data Quality & Reliability • Implement data validation, monitoring, and alerting frameworks. • Ensure data pipelines are reliable, scalable, and production-ready. Collaboration • Work closely with international engineering teams and stakeholders. • Participate in technical discussions, architecture design, and problem-solving Benefits: & Perks • Experience: with Apache Kafka or streaming data pipelines • Experience: with Databricks or Spark-based architectures • Familiarity with Apache Airflow or workflow orchestration tools • Experience: with Docker, Kubernetes, or Terraform • Experience: supporting analytics or machine learning data pipelines Required Skills Apache AWS Azure English Google Cloud Java MySQL Python Scala About Multiplier Name: Multiplier Company's Details: Multiplier Multiplier is a Singapore-based HR technology company that provides a global employment platform for businesses to hire, onboard, and manage international talent compliantly. It enables companies to expand their teams across borders without establishing local legal entities, streamlining payroll, benefits, and compliance processes in multiple countries. Key facts Founded: 2020 Headquarters: Singapore Founders: Sagar Khatri, Amritpal Singh, Vamsi Krishna Industry: HR technology, SaaS Core service: Global employment and payroll platform Platform and Services Multiplier offers an employer-of-record (EOR) solution that allows companies to legally employ workers in over 150 countries. It automates employment contracts, manages local labor law compliance, handles multi-currency payroll, and administers benefits. The platform integrates with human resource and accounting systems to centralize global workforce operations. Market Position and Growth The company operates in a fast-growing HR tech sector alongside competitors like Deel and Remote. Multiplier has gained traction with startups and mid-sized firms seeking rapid global expansion and compliance assurance. Its Asia-Pacific focus and local expertise differentiate it from predominantly U.S.-based rivals. Funding and Expansion Since its founding, Multiplier has raised multiple funding rounds from investors such as Sequoia Capital India and Tiger Global. The capital supports scaling its country coverage, enhancing product capabilities, and growing sales and customer support teams worldwide. Its platform serves clients across sectors including technology, fintech, and professional services. Impact and Significance Multiplier simplifies cross-border employment by replacing complex local entity setup with a single global platform. It addresses rising demand for distributed workforces, making it easier for companies to hire talent anywhere while ensuring regulatory compliance and employee satisfaction. Industry Technology Company Size 501-1000 employees Website https://www.usemultiplier.com View Company Profile More from Multiplier Cloud / DevOps Engineer Select city... Full Time Network Engineer (Telecom)