Senior Data Analytics Engineer — AI & Big Data Pipelines

Applied Information Sciences, Inc; Alexandria (VA); On-site; USD 110,000 - 166,000; Full time

Benefits offered by this job

Competitive salaries

Overtime PTO

Flexible holidays

Parental leave

Health insurance

ESOP

401(k) match

Tuition reimbursement

Referral bonus

Job summary

Applied Information Sciences, Inc. is seeking a Senior Data Analytics Engineer to develop and deploy data pipelines for a federal client onsite in Alexandria, VA. The role focuses on building scalable ETL/ELT processes, validating data, and maintaining robust schemas.

The ideal candidate has 5+ years in Data Engineering, strong Python and Spark experience, and an active Secret Clearance. AIS offers competitive compensation and employee ownership benefits.

Qualifications

• Bachelor’s Degree in Computer Science (or closely related degree).
• At least 5+ years of experience in Data Engineering.
• Experience with Python, pandas, pandera, SQL, Postgres, Databricks, and Spark.
• Must have an Active Secret Clearance.
• Experience working with messy data and large data workflows (100GB+).

Responsibilities

• Develop and deploy software into production in government environments.
• Set up data validation steps.
• Establish and maintain schemas.

Skills

Data engineering

Mentoring engineers

Client interaction

Data modeling

Problem solving

Education

Bachelor's Degree in Computer Science

Tools

Python

Pandas

Pandera

SQL

Postgres

Databricks

Spark

Job description

Applied Information Sciences, Inc. is seeking a Senior Data Analytics Engineer to develop and deploy data pipelines for a federal client onsite in Alexandria, VA. The role focuses on building scalable ETL/ELT processes, validating data, and maintaining robust schemas.

The ideal candidate has 5+ years in Data Engineering, strong Python and Spark experience, and an active Secret Clearance. AIS offers competitive compensation and employee ownership benefits.