Staff Data Engineer

About the role

The Staff Data Engineer will support a new customer by building and maintaining data pipelines that power enterprise data catalog and discovery services. Key responsibilities include designing and operating scalable data systems to transform raw and source data into reliable, well-structured datasets.

Responsibilities

• Design and operate scalable data systems
• Transform raw and source data into reliable, well-structured datasets
• Build and maintain ingestion, curation, and metadata-enrichment pipelines
• Ensure data quality and integrity across all stages of the pipeline
• Collaborate with cross-functional teams to define and implement data standards and frameworks

Requirements

• Bachelor of Science in Data Science, Computer Science, Information Systems, or related discipline
• Proficiency in Python, SQL, Spark, or similar data-centric technologies
• Experience with orchestration tools (Airflow, Dagster, Argo Workflow)
• Experience designing data lake and/or data warehouse structures
• Strong understanding of data modeling, data quality frameworks, schema evolution, and lineage
• Understanding of large-scale, cost-efficient data processing
• Comfort working with containers and cloud-native deployment
• Strong ability to translate complex technical concepts for non-technical audiences

Qualifications

• 5+ years of relevant experience
• DoD Top Secret clearance required

Skills

• Strong understanding of cloud data pipelines, data warehousing solutions, and ETL/ELT orchestration tools
• Proficient in defining data standards, data frameworks, and ensuring data quality

Benefits

• Flexible time off totaling 36 days / year
• 100% 401k company match up to IRS annual limits
• Health plan through Blue Cross Blue Shield with Health Savings Account (HSA)
• Tech and Wellness reimbursement of $3000 / year
• Annual profit sharing as 401k contribution
• MacBook laptop and well-equipped office spaces

Pay

Compensation is commensurate with experience.

Schedule

Flexible schedule to accommodate remote work options.