Senior Data Engineer: Cloud Pipelines for DoD Impact

androsysinc; Arlington (VA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401(k) plan with immediate vesting

Generous medical, dental, and vision insurance

Tuition assistance and professional development

Job summary

androsysinc is looking for a highly-skilled Data Engineer to join the team in Arlington, Virginia. The role will focus on designing and optimizing data pipelines and cloud systems that drive analytics and essential deliverables. Candidates should have a solid background in Python, SQL, and cloud technologies, particularly AWS.

The position also requires effective collaboration with software engineers to clean and migrate data into SQL Server and support customer-facing analytics projects. A Bachelor’s or Master’s degree in a related field is required, along with strong communication skills.

Qualifications

• 3+ years of experience in building production-grade data pipelines.
• Proficiency in developing scalable data solutions for analytics.
• Experience with AWS cloud, Python, and SQL technologies.

Responsibilities

• Design, architect, and implement secure data pipelines.
• Lead development of data architectures for analytics and dashboards.
• Collaborate with teams to optimize data storage systems.

Skills

Python

SQL

Cloud technologies (AWS)

Data pipeline architecture

Data manipulation

Cross-functional collaboration

Communication skills

Education

Bachelor’s or Master’s degree in a relevant field

Tools

SQL Server

Spark

Tableau

Qlik

Job description

androsysinc is looking for a highly-skilled Data Engineer to join the team in Arlington, Virginia. The role will focus on designing and optimizing data pipelines and cloud systems that drive analytics and essential deliverables. Candidates should have a solid background in Python, SQL, and cloud technologies, particularly AWS.

The position also requires effective collaboration with software engineers to clean and migrate data into SQL Server and support customer-facing analytics projects. A Bachelor’s or Master’s degree in a related field is required, along with strong communication skills.