Senior Data Engineer: Big Data Pipelines & AWS Analytics

Ethereum Technologies; Raleigh (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies in Raleigh, NC is seeking a senior data engineer to design, optimize, and scale complex data pipelines across cloud environments. You will work closely with data scientists, policy analysts, and cross-functional teams to deliver reliable data products and analytics platforms.

The role emphasizes advanced SQL, big data architectures, and building dashboards and models to support education and workforce outcomes, with a strong focus on data quality, governance, and scalable

Qualifications

• 12+ years of data engineering experience.
• Advanced SQL and relational databases expertise.
• Experience building and optimizing 'big data' data pipelines and datasets.
• Designing dashboards, reports, and analytical models for executives and non-technical users.
• Experience working with education data and linking datasets to outcomes.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Design and implement cloud-based data solutions using AWS services (S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda).
• Build and maintain data orchestration workflows (Airflow, Step Functions).
• Assemble large, complex data sets meeting business requirements.
• Engineer data environments to support statistical modeling and machine learning.

Skills

Advanced SQL

Big data pipelines

Dashboard design

Data quality checks

Cross-functional collaboration

Root-cause analysis

Data transformation

Project management

Unstructured data

Data modeling

Tools

Apache Airflow

AWS Glue

Amazon Redshift

Amazon S3

AWS EMR

Amazon Athena

Amazon Kinesis

AWS Lambda

AWS Step Functions

Job description

Ethereum Technologies in Raleigh, NC is seeking a senior data engineer to design, optimize, and scale complex data pipelines across cloud environments. You will work closely with data scientists, policy analysts, and cross-functional teams to deliver reliable data products and analytics platforms.

The role emphasizes advanced SQL, big data architectures, and building dashboards and models to support education and workforce outcomes, with a strong focus on data quality, governance, and scalable