Senior Data Engineer — Remote, Cloud & Analytics Impact

Essnova Solutions, Inc.; United States; Remote; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive health insurance coverage

401(k) retirement plan with company matching

Generous paid time off (PTO)

Remote work flexibility

Professional development opportunities

Job summary

Essnova Solutions, Inc. is seeking a Data Engineer / Data Modeler to design and maintain robust data architectures for analytics. You will ensure high-quality data flows and collaborate closely with teams to support government programs within the healthcare, geospatial, and environmental sectors.

The ideal candidate has a Bachelor's degree in a related field and 5+ years of experience in data engineering, with strong SQL skills and knowledge of cloud platforms. Comprehensive benefits include health insurance, retirement plans, and professional development opportunities.

Qualifications

• 5+ years of experience in data engineering, database administration, or data architecture.
• Proven experience designing scalable database architectures and performance tuning.
• Hands-on experience with automated data ingestion and pipeline development.

Responsibilities

• Design and maintain scalable database architectures for analytical workloads.
• Develop and maintain data ingestion, transformation, validation, and loading pipelines.
• Collaborate with stakeholders and technical teams to deliver data solutions.

Skills

Data ingestion

Database optimization

SQL skills

Python or R proficiency

Cloud platforms experience

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

PostgreSQL

SQL Server

Oracle

Azure

AWS

Job description

Essnova Solutions, Inc. is seeking a Data Engineer / Data Modeler to design and maintain robust data architectures for analytics. You will ensure high-quality data flows and collaborate closely with teams to support government programs within the healthcare, geospatial, and environmental sectors.

The ideal candidate has a Bachelor's degree in a related field and 5+ years of experience in data engineering, with strong SQL skills and knowledge of cloud platforms. Comprehensive benefits include health insurance, retirement plans, and professional development opportunities.