Lead 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: Lead Data Engineer

Key Responsibilities:

• Design, develop, and optimize scalable data pipelines using Spark and Databricks.
• Build and automate end-to-end ETL/ELT workflows using Airflow or similar orchestration tools.
• Develop, test, and maintain high-performance data processing solutions using Python.
• Work with data warehousing technologies such as Amazon Redshift or Snowflake to support analytics and reporting needs.
• Write complex and efficient SQL queries to transform, validate, and analyze large datasets.
• Collaborate with data architects, analysts, and cross-functional engineering teams to deliver reliable, high-quality data solutions.
• Monitor and improve pipeline performance, scalability, and data quality.
• Ensure adherence to data governance, security, and best engineering practices.

Required Skills & Qualifications:

• 7 years of hands-on experience as a Data Engineer or similar role.
• Strong experience with Apache Spark and distributed data processing.
• Expertise in Databricks for data engineering workflows.
• Proficiency in Python for data processing and automation.
• Solid experience with Airflow or other pipeline orchestration tools.
• Strong understanding of Data Warehousing concepts (Redshift or Snowflake preferred).
• Advanced SQL skills with experience in large-scale data operations.
• Experience working with cloud environments (AWS preferred).
• Strong problem-solving, communication, and collaboration skills.

Nice-to-Have Skills:

• Experience with streaming technologies (Kafka, Kinesis).
• Knowledge of CI/CD for data pipelines.
• Familiarity with data modeling and governance frameworks.

Location: Mclean, VA (3 days onsite)

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!