Data Engineer

At Cognyte, you’ll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!

You’ll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.

These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.

We are looking for a passionate Senior Data Engineer to join our Data Platform team. In this role, you will be an individual contributor working on the design and implementation of our data lakehouse infrastructure. You will help build scalable, high-performance data foundations that support analytics, BI, and future data-driven capabilities across the platform.

The mission is to deliver a successfully working data lakehouse based on modern data engineering technologies, medallion architecture, scalable processing, and reliable data quality.

As a Cognyter you will: 

• Design, build, and optimize data lakehouse infrastructure.
• Develop and maintain batch and streaming data flows.
• Work with medallion architecture principles across bronze, silver, and gold data layers.
• Take ownership of data modeling, performance optimization and scaling
• Contribute to data quality, observability, lineage, governance, and reliability practices.
• Collaborate with BI users and tools such as Apache Superset to make curated data available for analysis and reporting.
• Participate in technical and architectural decisions related to the data platform.
• Work with hybrid AWS-based and on-premise environments.
• Collaborate closely with senior engineers and stakeholders while remaining hands-on and technically focused.

For that mission you’ll need: 

• At least 5 years of total software/data engineering experience.
• Previous experience in a senior-level engineering role.
• Strong hands-on experience with SQL and Python.
• Strong experience with Apache Spark.
• Experience working with large-scale distributed systems and high-volume data.
• Experience with Kubernetes.
• Good English communication skills.

Advantage: 

• Experience with Apache Iceberg.
• Experience with data governance, access control, and data security.

Curious? Us too!

We believe that diverse teams drive the greatness of ideas, products, and companies.

Whatever your race, gender, age, creed, or taste in music – if you’re curious enough, you don’t need to check every box to apply.

We’re waiting for you.

Apply now.