Data Engineer – ETL & Data Platform (Onsite MD)

Interclypse, Inc.; Annapolis (MD); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health Insurance

401K match

Paid time off

Parental Leave

Job summary

Interclypse, Inc. is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure to support data-driven decisions and analytics. You will work on ETL, data lakehouse architectures, and collaboration across teams to ensure data reliability and performance.

The role requires a strong foundation in data architecture and ETL, with a focus on processing structured and unstructured data and delivering scalable solutions in a growth-oriented environment.

Qualifications

• Bachelor’s or Master's degree in computer science, statistics, mathematics, economics, or related field.
• Three (3) years of experience as a data engineer.
• Experience as data engineer with strong understanding of data architecture and ETL processes.

Responsibilities

• Design, develop and maintain data pipelines, ETL processes to collect, process and store data.
• Build data architecture and storage solutions (data lakehouses, data lakes, data warehouse, data marts).
• Develop data reliability, efficiency, and quality checks and processes.
• Prepare data for data modeling.
• Monitor and optimize data architecture and processing systems.
• Collaborate with multiple teams to understand requirements.

Skills

Data pipelines

ETL

Data architecture

Distributed computing

Parallel processing

Programming for data processing

Education

Bachelor’s or Master’s degree in CS/Statistics/Math/Economics or related field

Job description

Interclypse, Inc. is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure to support data-driven decisions and analytics. You will work on ETL, data lakehouse architectures, and collaboration across teams to ensure data reliability and performance.

The role requires a strong foundation in data architecture and ETL, with a focus on processing structured and unstructured data and delivering scalable solutions in a growth-oriented environment.