Senior AWS Data Engineer — Glue/EMR Pipelines (Hybrid)

PINNACLE GROUP (Pinnacle Technical Resources); McLean (VA); Hybrid; USD 96,000 - 103,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401K contributions

PTO and sick leave

Job summary

PTR Global is seeking a Senior Data Engineer to design and implement high-performance data pipelines in hybrid environments across McLean, VA and Richmond, VA. You will ensure data integrity through advanced quality checks and lineage tracking while collaborating with teams across the data platform.

The role requires expert Python and PySpark skills, hands-on AWS Glue and EMR experience, and a track record of building scalable, terabyte-scale data pipelines with emphasis on data quality and

Qualifications

• Core Languages: Expert-level proficiency in Python and PySpark.
• AWS Ecosystem: Deep hands‑on experience with AWS Glue and Amazon EMR.
• Big Data Architecture: Proven track record of building scalable pipelines for large-scale data (Terabyte-scale preferred).
• Data Integrity: Demonstrated experience implementing frameworks for Data Lineage and Data Quality.
• Database Knowledge: Strong experience working with S3-based lakes and relational databases (RDS/PostgreSQL/MySQL).

Responsibilities

• Designing and implementing high-performance data pipelines that handle large volumes of data.
• Ensuring data integrity through advanced quality checks and lineage tracking.

Skills

Python

PySpark

Big Data

Data Quality

Data Lineage

RDS/PostgreSQL/MySQL

Tools

AWS Glue

Amazon EMR

Kinesis/Kafka

CI/CD

Infrastructure as Code

Job description

PTR Global is seeking a Senior Data Engineer to design and implement high-performance data pipelines in hybrid environments across McLean, VA and Richmond, VA. You will ensure data integrity through advanced quality checks and lineage tracking while collaborating with teams across the data platform.

The role requires expert Python and PySpark skills, hands-on AWS Glue and EMR experience, and a track record of building scalable, terabyte-scale data pipelines with emphasis on data quality and