A Data Engineer Jobs in USA with Visa Sponsorship at Cliff Services Inc. offers a strong opportunity for experienced professionals looking to build scalable cloud-native data systems in 2026. The position typically offers a salary range of $120,000 to $180,000 per year (USD) depending on experience, along with full-time employment, and may include remote, hybrid, or on-site work options in the USA, with possible visa sponsorship for qualified international candidates having 7+ years of experience.
This role is ideal for engineers who want to grow in a high-impact environment while working with modern data technologies and contributing to real business decisions that matter.
About the Role:
You will use your knowledge of Scala, AWS, and Apache Spark in your role as a data engineer. Building scalable data solutions and streamlining data processing systems depend heavily on this role. Developing cloud-native data architectures that inform business choices will be a key responsibility of yours.
About the Hiring Firm:
Advanced IT services and consulting are Cliff Services Inc.’s area of expertise. The company, which is well-known for its creative approach, is dedicated to providing its clients with excellent solutions. Employing qualified experts who can support the company’s goal of excellence in the tech sector is a top priority.
Duties of Data Engineer Jobs in USA:
In this role, your key responsibilities will include:
- Designing Data Pipelines: Build and optimize large-scale data pipelines using Scala and Spark.
- Maintaining ETL Workflows: Develop and manage ETL/ELT workflows across various AWS services.
- Conducting Distributed Processing: Utilize Spark, Hadoop, or similar technologies for distributed data processing.
- Implementing Data Routines: Create routines for data ingestion, transformation, cleansing, and validation.
- Optimizing Performance: Ensure pipeline reliability and performance in production environments.
- Collaborating Across Teams: Work closely with cross-functional teams to understand requirements and deliver effective solutions.
- Adopting Best Practices: Implement CI/CD best practices, testing, and version control to streamline processes.
- Troubleshooting Issues: Diagnose and resolve problems within complex data flow systems.
Requirements for Data Engineer Jobs in USA:
To be a successful candidate, you should meet the following qualifications:
- Experience: At least 7 years in Data Engineering, with strong programming skills in Scala.
- Technical Expertise: Hands-on experience with Apache Spark, including core, SQL, and streaming.
- Cloud Proficiency: Solid knowledge of AWS services like Glue, EMR, and Lambda.
- Database Skills: High proficiency in SQL and familiarity with relational and NoSQL stores.
- Data Understanding: Strong grasp of data modeling, architecture, and distributed systems.
- Workflow Tools: Experience with orchestration tools such as Airflow or AWS Step Functions.
- Communication Skills: Excellent problem-solving abilities and strong communication skills are essential.
Preferred Qualifications:
- Experience with streaming platforms like Kafka or Kinesis.
- Familiarity with containerization tools such as Docker or Kubernetes.
- A background in data warehousing or modern data lake architectures.
Read Also: Engineering Aide Jobs in USA with Visa Sponsorship
Benefits of Data Engineer Jobs in USA:
Competitive Salary Packages
Enjoy a strong annual salary ranging from $120,000 to $180,000, based on your experience and skill level. The compensation reflects the high demand for skilled data engineers in modern tech environments.
Visa Sponsorship Opportunities
Qualified international candidates may receive visa sponsorship support, making it easier to build a long-term career in the United States.
Flexible Work Options
Depending on the project and team, you may work in remote, hybrid, or on-site setups, giving you better work-life balance and flexibility.
Health & Insurance Coverage
Employees often receive medical, dental, and health insurance benefits, ensuring financial and personal well-being.
Career Growth in Cloud Technologies
Work with advanced tools like AWS, Scala, and Spark, helping you build expertise in cloud computing and big data architecture.
Exposure to Large-Scale Systems
Gain hands-on experience working with enterprise-level data pipelines and distributed systems used by global organizations.
Skill Development & Learning
Continuous learning opportunities with modern tools, frameworks, and real-world projects that sharpen your technical expertise.
Collaborative Work Environment
Work alongside experienced engineers, analysts, and architects in a team-driven and innovation-focused culture.
Paid Time Off & Work-Life Balance
Enjoy paid leaves and structured work policies that support a healthy balance between professional and personal life.
Global Career Opportunities
This role opens doors to international career paths, allowing you to grow in leading tech companies worldwide.
How to Apply for Data Engineer Jobs in USA with Visa Sponsorship?
Interested candidates can apply through the official hiring channel of Cliff Services Inc. Ensure your resume highlights Scala, Spark, AWS experience, and large-scale data pipeline projects. Candidates with strong distributed systems knowledge and cloud architecture experience will have a higher chance of selection.
Conclusion:
This Data Engineer role in the USA (2026) is a strong opportunity for experienced professionals who want to work with modern cloud technologies and large-scale data systems. With a competitive salary, visa sponsorship options, and exposure to advanced tools like Scala, Spark, and AWS, this job is ideal for engineers ready to take their career to the next level in a fast-growing tech environment.
Frequently Asked Questions:
Is visa sponsorship available?
Yes, many companies including consulting firms like Cliff Services Inc. may offer visa sponsorship for highly skilled candidates.
What experience is required?
A minimum of 7 years in data engineering with strong expertise in Scala, Spark, and AWS is required.
Is this job remote or on-site?
Work arrangements may vary between remote, hybrid, or on-site depending on project requirements.
