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 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

Job Overview:

We are looking for a skilled Data Engineer with strong experience in Python, GenAI/LLM technologies, and modern cloud-based data platforms. The ideal candidate will have hands-on expertise in building scalable data pipelines, working with large datasets, integrating AI/LLM frameworks, and developing data solutions using AWS and big data technologies. This role requires experience with both batch and real-time data processing, along with strong knowledge of databases, workflow orchestration, and vector database/RAG concepts.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT and data pipeline solutions
• Build and optimize batch and real-time data processing systems
• Develop GenAI/LLM-powered applications using frameworks such as LangChain or LangGraph
• Implement RAG architectures and manage vector database indexing solutions
• Work with structured and unstructured data across multiple database technologies
• Integrate and manage big data solutions using Spark, Kafka, and cloud-native tools
• Create and maintain workflow orchestration pipelines using Apache Airflow
• Collaborate with cross-functional teams including Data Engineering, AI/ML, and Cloud teams
• Ensure data quality, scalability, security, and performance across data platforms
• Utilize AWS services such as S3, Glue, and Redshift for cloud-based data solutions
• Support and optimize data platforms like Databricks and Snowflake for analytics and AI use cases

Required Qualifications

• Strong programming experience in Python
• Hands-on experience with GenAI/LLMs such as OpenAI or similar models
• Experience with LLM application frameworks like LangChain or LangGraph
• Understanding of RAG (Retrieval-Augmented Generation) concepts and Vector Database indexing
• Strong knowledge of SQL, Relational Databases, PostgreSQL, NoSQL, and MPP databases
• Experience building ETL/ELT pipelines and data processing workflows
• Hands-on experience with batch and real-time data processing
• Experience with Apache Spark and Apache Kafka
• Workflow orchestration experience using Apache Airflow
• Experience with Databricks or Snowflake data platforms
• Strong AWS experience including S3, Glue, Redshift, and secure cloud data pipelines

Location: Plano, TX (Onsite role)

Salary and Other Compensation: The annual [salary/hourly rate] for this position is between [$90,000– 100,000 annually]/[$50.00- $55.00 per hour]. 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]

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!

Preferred Skills

Job details

About Ascendion