Data Engineer

Infinite Computer Solutions; Maryland; On-site; USD 110,000 - 140,000; Full time

Job summary

Infinite Computer Solutions is seeking a Data Engineer in Maryland to design, develop, and maintain scalable data pipelines and platforms supporting analytics and BI initiatives. The role requires experience with large datasets, cloud technologies, and modern data architectures to ensure reliable data delivery across the organization.

The ideal candidate has 5–7 years of data engineering experience, proficiency in SQL and Python/Java/Scala, and hands-on work with cloud platforms (Azure/AWS/GCP)

Qualifications

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

Responsibilities

• 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

SQL development

Python

Java

Scala

ETL/ELT frameworks

Data warehousing

Git

Azure

AWS

GCP

Apache Spark

Databricks

Hadoop

Education

Bachelor's degree in Computer Science, IT, Engineering

Tools

Git

Azure

AWS

GCP

Apache Spark

Databricks

Hadoop

ETL/ELT tools

Job description

Job Description

We are seeking a skilled

• 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 ResponsibilitiesData 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