Data Engineer

Ascendion; Seattle (WA); On-site; USD 150,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Disability insurance

Paid time off 12-15 days

Job summary

Ascendion is seeking a seasoned Data Engineer in Seattle to design, build, and optimize scalable ETL pipelines on an AWS data stack. You will drive data workflows with MWAA, craft efficient SQL/Python/PySpark transformations, and manage Redshift/S3 storage with governance and security in mind.

Lead the data engineering effort, mentor junior teammates, and collaborate with analytics to deliver reliable BI using QuickSight/Tableau.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering, ETL development, or similar roles.
• Experience working in a lead role.
• Expertise in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation.
• Strong programming skills in SQL, Python, and PySpark.
• Hands‑on experience with data pipeline orchestration using Managed Airflow (MWAA).
• Knowledge of data modeling, warehousing concepts, and performance tuning.
• Familiarity with AWS CDK and AWS Build Tools for infrastructure automation.
• Excellent problem‑solving, analytical, and communication skills.
• Experience working in Agile or DevOps environments.

Responsibilities

• Design, build, and optimize scalable ETL pipelines using AWS Glue.
• Develop and manage data workflows and orchestration using MWAA.
• Write and optimize SQL and Python/PySpark scripts for data transformation and processing.
• Architect and maintain data storage solutions using AWS Redshift and S3.
• Implement and manage data cataloging, governance, and security using AWS Glue and Lake Formation.
• Collaborate with analytics teams to support reporting and visualization using QuickSight and Tableau.
• Automate infrastructure deployment using AWS CDK and AWS Build Tools.
• Ensure high data quality, performance, and reliability across data processes.
• Drive best practices for data engineering, including CI/CD, monitoring, and documentation.
• Mentor junior engineers and contribute to team development and knowledge sharing.

Skills

Data engineering leadership

AWS data technologies

SQL

Python

PySpark

Managed Airflow

ETL

Data modeling

Education

Bachelor’s or Master’s degree in CS/Data Engineering or related field

Tools

AWS Glue

Redshift

S3

Lake Formation

MWAA

AWS CDK

AWS Build Tools

Tableau

QuickSight

Job description

Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth.

Learn more at https://ascendion.com/.

Engineering to the Power of AI™ , AAVA™ , EngineeringAI, Engineering to Elevate Life™ , Enterprise PlatformsAI, Data & InsightsAI, ExperienceAI, GCCAI, OperationsAI, Platform EngineeringAI, ProductAI, and Quality EngineeringAIare trademarks or service marks of Ascendion®. AAVA™ is pending registration. Unauthorized use is strictly prohibited.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands‑on experience

Experience a community of change makers!

Join a culture of high‑performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

Job Title:Data Engineer

Location:Seattle 5 Days Onsite

Key Responsibilities

• Design, build, and optimize scalable ETL pipelines using AWS Glue.
• Develop and manage data workflows and orchestration using Managed Airflow (MWAA).
• Write and optimize SQL and Python/PySpark scripts for data transformation and processing.
• Architect and maintain data storage solutions using AWS Redshift and S3.
• Implement and manage data cataloging, governance, and security using AWS Glue and Lake Formation.
• Collaborate with analytics teams to support reporting and visualization using QuickSight and Tableau.
• Automate infrastructure deployment using AWS CDK and AWS Build Tools.
• Ensure high data quality, performance, and reliability across all data processes.
• Drive best practices for data engineering, including CI/CD, monitoring, and documentation.
• Mentor junior engineers and contribute to team development and knowledge sharing.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering, ETL development, or similar roles.
• Experience working a lead role.
• Expertise in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation.
• Strong programming skills in SQL, Python, and PySpark.
• Hands‑on experience with data pipeline orchestration using Managed Airflow (MWAA).
• Knowledge of data modeling, warehousing concepts, and performance tuning.
• Familiarity with AWS CDK and AWS Build Tools for infrastructure automation.
• Excellent problem‑solving, analytical, and communication skills.
• Experience working in Agile or DevOps environments.

Note : Candidates with Retail and High-tech domain are preffered, Thank you!!

Salary and Other Compensation:

The annual [salary/hourly rate] for this position is between [$150,000 - 160,000 annually].Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

The Company offers the following benefits for this position, subject to applicable eligibility requirements:

• [medical insurance]
• [dental insurance]
• [vision insurance]
• [401(k) retirement plan]
• [long-term disability insurance]
• [short-term disability insurance]
• [personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State]
• [12-15 days of paid vacation time]
• [6-8 weeks of paid parental leave after a year of service]
• [9 paid holidays and 2 floating holidays per calendar year]
• [Ascendion Learning Management System]
• [Tuition Reimbursement Program.