Data Engineer - ETL & Lakehouse Specialist

Interclypse, Inc.; Maryland; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health Insurance

401K match

Paid time off

Mentorship program

Career growth opportunities

Job summary

Interclypse, Inc. is seeking a Data Engineer in Maryland to design, build, and maintain data pipelines and infrastructure that support data-driven decisions.

The role emphasizes ETL development, data lakehouse architectures, and collaboration with multiple teams to meet analytics needs. Required are a CS/Math/Stats/Economics degree and at least 3 years of data engineering experience, with strong programming and distributed computing skills.

Qualifications

• Bachelor’s or Master’s degree in CS/Statistics/Math/Economics or related field.
• Three (3) years of experience as a data engineer.
• Experience as data engineer or similar role with a strong understanding of data architecture and ETL processes.
• Proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.

Responsibilities

• Design, develop and maintain data pipelines, and ETL processes to collect, process and store data.
• Build data architecture and storage solutions (data lakehouses, data lakes, data warehouse, data marts) to support analytics and reporting.
• Develop data reliability, efficiency, and quality checks and processes.
• Prepare data for data modeling.
• Monitor and optimize data architecture and data processing systems.
• Collaborate with multiple teams to understand requirements and objectives.
• Administer testing and troubleshooting related to performance, reliability, and scalability.
• Create and update documentation.

Skills

Data architecture

ETL processes

Distributed computing

Data pipelines

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 in Maryland to design, build, and maintain data pipelines and infrastructure that support data-driven decisions.

The role emphasizes ETL development, data lakehouse architectures, and collaboration with multiple teams to meet analytics needs. Required are a CS/Math/Stats/Economics degree and at least 3 years of data engineering experience, with strong programming and distributed computing skills.