Data Engineer

Infinite Computer Solutions; Maryland; On-site; USD 90,000 - 135,000; Full time

Job summary

Infinite Computer Solutions in the United States is seeking a Data Engineer to design, build, and maintain scalable data pipelines that support analytics and BI initiatives.

The ideal candidate has 3+ years of experience, strong SQL, and hands-on experience with cloud platforms (Azure/AWS/GCP) and Spark-based tooling.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or related field.
• 3+ years of experience in Data Engineering or related roles.
• Hands-on experience with cloud-based data platforms preferred.

Responsibilities

• Data Pipeline Development
• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimize data ingestion processes from various structured and unstructured data sources.
• Ensure data accuracy, integrity, and availability across data platforms.
• Implement data transformation and cleansing processes.

Skills

Strong SQL development

Python/Java/Scala programming

Data warehouse concepts

Git version control

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Tools

ETL/ELT tools

Azure

AWS

GCP

Apache Spark

Databricks

Hadoop

Job description

Job Description

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimize data ingestion processes from various structured and unstructured data sources.
• Ensure data accuracy, integrity, and availability across data platforms.
• Implement data transformation and cleansing processes.

Job Description

We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data platforms that support analytics, reporting, and business intelligence initiatives. The ideal candidate will have experience working with large datasets, cloud technologies, ETL/ELT processes, and modern data architectures to ensure reliable and efficient data delivery across the organization.

Key Responsibilities

• Data Pipeline Development
• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and optimize data ingestion processes from various structured and unstructured data sources.
• Ensure data accuracy, integrity, and availability across data platforms.
• Implement data transformation and cleansing processes.

Required QualificationsEducation

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Experience

• 3+ years of experience in Data Engineering or related roles.
• Experience building and supporting enterprise data solutions.
• Hands-on experience with cloud-based data platforms preferred.

Technical Skills

• Strong SQL development skills.
• Programming experience in Python, Java, or Scala.
• Experience with ETL/ELT tools and frameworks.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Familiarity with Apache Spark, Databricks, Hadoop, or similar big data technologies.
• Experience with version control systems such as Git.

Qualifications

N/A

Range Of Year Experience-Min Year

5

Range Of Year Experience-Max Year

7