Senior Data Engineer - Scalable Pipelines & Cloud Data

SFE; Seattle (WA); On-site; USD 120,000 - 140,000; Full time

Job summary

SFE is seeking a Data Engineer in Seattle, WA, to design, build, and maintain scalable data pipelines. The role focuses on ingesting and transforming data from multiple sources, using SQL and Python, with strong emphasis on ETL/ELT processes and cloud platforms.

The candidate will optimize data workflows, ensure data quality, and collaborate with data scientists and business stakeholders to deliver analytics-ready data for reporting and BI purposes. Onsite requirement applies.

Qualifications

• 6+ years of data engineering experience.
• 3+ years in data engineering, data science, or software engineering capacity.
• Expertise in robust data pipelines in SQL and Python.
• Experience with cloud-native solutions.
• 5+ years in data warehousing, modelling, and ETL/ELT at scale.
• Experience with AWS, GCP, or Azure.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for multi-source data ingestion and transformation.
• Develop data integration workflows using Python, SQL, APIs, batch and streaming technologies.
• Build and optimize data pipelines for structured, semi-structured, and unstructured data.
• Create data models, tables, views, procedures, and transformation logic for analytics and operations.
• Ingest data from databases, APIs, files, cloud storage, and enterprise apps.
• Work with cloud data platforms and services including data lakes and warehouses.
• Implement data quality checks, monitoring, logging, and error handling across pipelines.

Skills

Data pipelines

SQL

Python

Cloud platforms

Data warehousing

ETL/ELT

Airflow

Apache Spark

Kafka

NoSQL

Snowflake

Redshift

GCP

AWS

Azure

Data modelling

Job description

SFE is seeking a Data Engineer in Seattle, WA, to design, build, and maintain scalable data pipelines. The role focuses on ingesting and transforming data from multiple sources, using SQL and Python, with strong emphasis on ETL/ELT processes and cloud platforms.

The candidate will optimize data workflows, ensure data quality, and collaborate with data scientists and business stakeholders to deliver analytics-ready data for reporting and BI purposes. Onsite requirement applies.