More jobs:
Data Engineer
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-10-01
Listing for:
DataJobs
Full Time
position Listed on 2026-10-01
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
Realign LLC is hiring a Data Engineer based in Seattle, WA, with an onsite work setup. In this role, you will focus on building and operating reliable data pipelines while translating stakeholder data needs into practical, execution-ready plans.
What you’ll do- Demonstrate a track record of converting stakeholder data requirements into actionable plans.
- Implement and uphold data pipeline best practices to support accuracy, consistency, and reliability
. - Write and maintain robust data pipelines using SQL and Python
.
- 6+ years of data engineering experience.
- 3+ years of experience working in a data engineering, data science, or software engineering capacity.
- Expertise in building and maintaining robust data pipelines in SQL and Python
. - A proven history of turning data requirements from stakeholders into actionable plans.
- Experience with cloud-native solutions
. - Experience implementing and enforcing data pipeline best practices focused on accuracy, consistency, and reliability.
- A Bachelor’s degree or Master’s degree in computer science, statistics, information systems, or a related technical field.
- Experience with a scripting language such as Python
, Java
, or R. - 5+ years in data warehousing, data modeling, and building or maintaining ETL/ELT pipelines at scale
. - Extensive experience with AWS
, Google Cloud Platform (GCP), or Azure
. - Proficiency with Apache Spark
, Kafka
, No
SQL databases
, and orchestration tools such as Apache Airflow
. - Strong skills in Python
, Java
, or Scala
. - Deep knowledge of SQL
, including experience with Snowflake
, Data Bricks
, or Redshift
.
- SQL
, AWS
, Python - GCP
, Azure - Apache Spark
, Kafka - No
SQL databases
, Apache Airflow - Java
, R,
Scala - Snowflake
, Data Bricks
, Redshift
Salary: USD 131,000 per yearly.
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage:
Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. - Maternal & Parental Leaves.
- Aut & Home Insurance, Identity Theft Protection.
- Commuter Benefits & Certification & Training Reimbursement.
- Vacation, Time Off, Sick Leave & Holidays.
- Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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