Data Engineer II: Scale AWS Data Pipelines

Direct-Calls.com; Seattle (WA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health Insurance

401k Matching

Paid Time Off

Parental Leave

Job summary

Direct-Calls.com in Seattle, WA seeks a data engineer to design and implement scalable data pipelines using AWS and internal tools. You will collaborate with product, analytics and engineering teams to translate requirements into robust, scalable solutions.

The role requires a Bachelor's degree and 3+ years of experience in data modeling, warehousing, and ETL, with knowledge of distributed systems and modern programming languages. Experience with Spark, Airflow and AWS is a plus.

Qualifications

• Bachelor's degree and 3+ years of data engineering experience are required.
• Experience with data modeling, warehousing, and building ETL pipelines is expected.
• Knowledge of distributed systems and modern programming languages is preferred.

Responsibilities

• Design and implement scalable, fault-tolerant data pipelines using AWS technologies and internal Amazon tools.
• Collaborate cross-functionally to understand data requirements and deliver customized data solutions.

Skills

Data Engineering

AWS

Python

SQL

ETL

Data Modeling

Data Warehousing

Apache Spark

EMR

Airflow

Data Governance

Data Quality

CI/CD

Big Data

Streaming Data

Batch Processing

Education

Bachelor's degree

Tools

AWS

Apache Spark

EMR

Airflow

Job description

Direct-Calls.com in Seattle, WA seeks a data engineer to design and implement scalable data pipelines using AWS and internal tools. You will collaborate with product, analytics and engineering teams to translate requirements into robust, scalable solutions.

The role requires a Bachelor's degree and 3+ years of experience in data modeling, warehousing, and ETL, with knowledge of distributed systems and modern programming languages. Experience with Spark, Airflow and AWS is a plus.