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
ETL
Informatica
Programming Language
Programming Languages
SQL
Streaming Data
Job Description
Realign LLC is seeking a Data Engineer to support data platform work from requirements through production delivery, with a focus on building dependable pipelines that keep data accurate, consistent, and reliable. This onsite role is based in Seattle, WA and centers on translating stakeholder data needs into actionable implementation plans using SQL, Python, and cloud-native tooling.
The ideal candidate will bring hands-on experience designing and maintaining robust data pipelines and related data engineering systems at scale, along with strong cloud and data stack proficiency across major platforms and modern orchestration frameworks.
Responsibilities
- Turn stakeholder data requirements into actionable plans with a proven record of delivery
- Implement and uphold best practices for data pipelines, ensuring accuracy, consistency, and reliability
- Write and maintain robust data pipelines using SQL and Python
Requirements
- 6+ years of data engineering experience
- 3+ year experience working in a data engineering, data science, or software engineering capacity
- Expertise writing and maintaining robust data pipelines in SQL and Python
- Proven ability to translate stakeholder data requirements into actionable plans
- Experience with cloud-native solutions
- Track record implementing and maintaining best practices for pipeline accuracy, consistency, and reliability
- Bachelor's degree or Master's degree in computer science, statistics, information systems, or a related technical field
- Experience with a scripting language (e.g., Python, Java, or R)
- 5+ years of experience in data warehousing, data modelling, and building or maintaining ETL/ELT pipelines at scale
- Extensive experience with AWS, Google Cloud Platform (GCP), or Azure
- Proficiency in 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, 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
Location: Seattle, WA (onsite)
Compensation: USD 131,000 per year
Minimum experience: 3 years