Job Description

About Ascendion:

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

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 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

Responsibilities

• Develop, optimize, and maintain ETL pipelines using Glue.
• Build and manage data workflows and orchestration using Managed Airflow (MWAA).
• Write and optimize SQL and Python/PySpark scripts for data transformation and processing.
• Work with data platforms such as Redshift and S3 for efficient data storage and retrieval.
• Implement data cataloging and governance using Glue and Lake Formation.
• Support reporting and analytics teams by ensuring data availability for QuickSight and Tableau.
• Assist in automating infrastructure deployment using AWS CDK and Build Tools.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Collaborate with stakeholders to understand data requirements and business objectives.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years of experience in data engineering, ETL development, or similar roles.
• 3-4 Years of Lead Level Experience.
• Proficiency in AWS data technologies, including AWS Glue, Redshift, S3, and Lake Formation.
• Strong programming skills in SQL, Python, and PySpark.
• Experience with data pipeline orchestration using Managed Airflow (MWAA).
• Familiarity with data modeling, warehousing concepts, and performance tuning.
• Ability to work in an Agile development environment.
• Strong analytical and problem-solving skills.

Preferred Qualifications:

• Experience with AWS CDK and Build Tools for infrastructure automation.
• Knowledge of data security, governance, and compliance best practices.
• AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus.

Location: 100% Onsite in Seattle, WA

Salary Range: The salary for this position is between $110K/year- $140K/Year. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits: 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] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 day of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

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