Data Engineer
Apache Airflow
Big Data
Bigdata
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Database
Databases
Databricks
Engineer
ETL
Informatica
Programming Language
Programming Languages
SQL
Streaming Data
Job Description
The Data Engineer position at Realign LLC in Seattle, WA focuses on designing, building, and maintaining reliable data pipelines while translating stakeholder data requirements into executable delivery plans. The role emphasizes robust implementation practices across SQL and Python, with cloud-native experience using AWS and other major platforms.
Location
Seattle, WA (onsite)
Compensation
USD 131,000 per year
Experience Level
Minimum 3 years of experience is required.
Education
Bachelor's degree or Master's degree in computer science, statistics, information systems, or a related technical field.
Responsibilities
- Develop a track record of translating 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.
Requirements
- 6+ years of data engineering experience.
- 3+ years working in a data engineering, data science, or software engineering capacity.
- Expertise in building and maintaining robust data pipelines in SQL and Python.
- A track record of converting stakeholder data requirements into actionable plans.
- Experience with cloud-native solutions.
- Demonstrated experience applying data pipeline best practices to ensure accuracy, consistency, and reliability.
- Bachelor’s 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 of experience 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, NoSQL 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.
Technologies
- SQL
- AWS
- Python
- GCP
- Azure
- Apache Spark
- Kafka
- NoSQL databases
- Apache Airflow
- Java
- R
- Scala
- Snowflake
- Data bricks
- Redshift
Benefits
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Maternal & Parental Leaves.
- Aut & Home Insurance and Identity Theft Protection.
- Commuter Benefits and Certification & Training Reimbursement.
- Vacation, Time Off, Sick Leave & Holidays.
- Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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