Senior Data Engineer

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: Senior Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable and reliable data pipelines and ETL workflows.
• Build and optimize data models and queries in Snowflake to support analytics and reporting needs.
• Develop data processing and automation scripts using Python.
• Implement and manage data orchestration workflows using Airflow, Airbyte, or similar tools.
• Work with AWS data services including EMR, Glue, and Kafka for large-scale data ingestion and processing.
• Ensure data quality, reliability, and performance across data pipelines.
• Collaborate with analytics, product, and engineering teams to understand data requirements and deliver robust solutions.
• Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.

Required Skills & Qualifications:

• 8 years of hands-on experience as a Data Engineer.
• Strong proficiency in SQL and Snowflake.
• Extensive experience with ETL frameworks and data pipeline orchestration tools (Airflow, Airbyte, or similar).
• Proficiency in Python for data processing and automation.
• Hands-on experience with AWS data services, including EMR, Glue, and Kafka.
• Strong understanding of data warehousing, data modeling, and distributed data processing concepts.

Nice to Have:

• Experience working with streaming data pipelines.
• Familiarity with data governance, security, and compliance best practices.
• Experience mentoring junior engineers and leading technical initiatives.

Salary Range: The salary for this position is between $130,000– $140,000 annually. Factors which 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 pertains to the City/ State] [10-15 days 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!