Senior Data Engineer: Cloud Pipelines & Data Mastery

Realign Llc; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual incentive

Medical coverage

Parental leave

401K plan

Certification reimbursement

Job summary

Realign Llc is seeking a seasoned Data Engineer in Seattle, WA to design and maintain scalable data pipelines using SQL and Python. You will work across data engineering, data science, and software teams to translate stakeholder data needs into robust, cloud-native solutions.

The role requires extensive experience with data warehousing, ETL/ELT pipelines, and modern tools like Snowflake, Databricks, and Airflow. Join us to uphold data accuracy and reliability at scale.

Qualifications

• 6+ years of data engineering experience.
• 3+ year of experience in a data engineering, data science, or software engineering capacity.
• Expertise in writing and maintaining robust data pipelines in SQL and Python.
• A track record of turning data requirements from stakeholders into actionable plans.
• Experience with cloud-native solutions.
• A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability.

Responsibilities

• Design and maintain robust data pipelines.
• Collaborate with stakeholders to translate data needs into actionable plans.
• Implement cloud-native data solutions.
• Ensure data accuracy, consistency, and reliability.
• Support data warehousing and ETL/ELT pipelines at scale.

Skills

Data engineering

SQL

Python

ETL pipelines

Snowflake

Databricks

Redshift

Apache Spark

Kafka

Airflow

NoSQL

Education

CS/Statistics degree

Tools

AWS

GCP

Azure

Apache Spark

Airflow

Snowflake

Databricks

Job description

Realign Llc is seeking a seasoned Data Engineer in Seattle, WA to design and maintain scalable data pipelines using SQL and Python. You will work across data engineering, data science, and software teams to translate stakeholder data needs into robust, cloud-native solutions.

The role requires extensive experience with data warehousing, ETL/ELT pipelines, and modern tools like Snowflake, Databricks, and Airflow. Join us to uphold data accuracy and reliability at scale.