Data Engineer Job in USA 2025 with H-1B Visa Sponsorship | Cliff Services Inc
Are you a skilled Data Engineer ready to tackle complex data challenges? Cliff Services Inc. is looking for a talented individual to join its dynamic team in Chicago, Illinois. This role offers a chance to innovate and excel in the rapidly evolving field of data engineering.
About the Role
As a Data Engineer, you will leverage your expertise in Scala, AWS, and Apache Spark. This position is pivotal for building scalable data solutions and optimizing data processing systems. You will play a crucial role in developing cloud-native data architectures that power business decisions.
About the Hiring Firm
Cliff Services Inc. specializes in providing advanced IT services and consulting. Known for its innovative approach, the firm is committed to delivering top-quality solutions to its clients. The company prioritizes hiring skilled professionals who can contribute to its mission of excellence in the tech industry.
Job Duties
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.
Job Requirements
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.
Click Here to Apply
Conclusion
This is an outstanding opportunity for experienced professionals seeking to grow in the data engineering field. At Cliff Services Inc., you will work in an exciting environment, solving complex data challenges while leveraging advanced technologies. If you have the skills and passion for data, don’t miss your chance to apply for the Data Engineer position today! Be part of a team that values innovation and excellence.
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