Data Engineer (Medior/Senior)

smartcat; United States; Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Pay grades from L1 to L10

Career path alignment

Loyalty coefficient on net comp after

Knowledge budget

Flexible working hours and work from 홈

Transparency across salary and company

Support for gaining expertise

Job summary

SmartCat is seeking a Medior/Senior Data Engineer to build and optimize data lakehouse infrastructure using Spark and Databricks. You will design scalable pipelines and ensure efficient processing of large datasets.

You will collaborate with data scientists and analysts, implement robust data models, and help enforce security and compliance. Senior engineers mentor juniors and drive best practices across the team.

Qualifications

• Experience with Python or Scala/Java.
• Advanced knowledge of SQL.
• Hands-on experience with Spark, Databricks, Snowflake or Fabric.
• Understanding of data lakehouse concepts and distributed systems.
• Data modeling and data warehousing skills.
• Experience with cloud-native data architectures on AWS/Azure/GCP.
• Willing to learn, collaborate, and avoid overtime.

Responsibilities

• Design, build, and maintain scalable data pipelines using Apache Spark and modern data platforms.
• Develop and optimize data lakehouse architectures to support analytics and ML workflows.
• Implement data models that ensure quality, consistency, and accessibility.
• Collaborate with data scientists and analysts to meet data needs.
• Help ensure data security and regulatory compliance.
• Monitor and troubleshoot pipeline performance and reliability.
• Continuously improve data engineering processes and practices.
• Collaborate with cross-functional teams and contribute to technical discussions.
• At the Senior level, provide technical guidance and mentor junior engineers.

Skills

Python

Scala/Java

SQL

Distributed systems

Data modeling

Cloud-native data architectures

Tools

Apache Spark

Databricks

Snowflake

Microsoft Fabric

Job description

SmartCat is an AI-driven company that tackles complex data challenges with innovative solutions. Our expert team collaborates on carefully selected projects that deliver measurable, positive impacts on businesses, everyday life, and society.

Position Overview:

We are seeking a talented Medior/Senior Data Engineer to join our team. In this role, you will build and optimize our data lakehouse infrastructure using Spark and Databricks, designing and implementing robust, scalable data pipelines and ensuring the efficient processing and storage of large datasets.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines using Apache Spark and modern data platforms.
• Develop and optimize data lakehouse architectures to support data analytics and machine learning workflows.
• Implement data models and structures that ensure data quality, consistency, and accessibility.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Help ensure data security and compliance with relevant regulations.
• Monitor and troubleshoot data pipeline performance and reliability.
• Continuously improve data engineering processes and best practices.
• Collaborate with cross-functional teams and contribute to technical discussions.
• At the Senior level, you'll also provide technical guidance and mentor junior engineers.

Requirements:

• Experience with Python or Scala/Java.
• Advanced knowledge of SQL.
• Hands‑on experience with Apache Spark, Databricks, Snowflake, or Microsoft Fabric.
• Understanding of data lakehouse concepts and architecture.
• Grasp of distributed systems fundamentals.
• Data modeling and data warehousing skills.
• Experience with cloud-native data architectures on AWS, Azure, or GCP.
• You enjoy learning new things and trying different solutions.
• You value a healthy work-life balance; we don't like overtime.
• You know when and how to ask for help; we work together as a team.

Nice to have:

• Kafka, Flink, or similar streaming technologies.
• Kubernetes.
• Machine Learning.

What we offer:

• Clearly defined pay grades: from L1 (talented junior) to L10 (principal)
• The career path that connects these grades — you know where your life is going (at least here with us)
• Loyalty coefficient: 10% on net compensation after 3 years in SmartCat, 20% after 5 years
• Knowledge budget
• Flexible working hours and work from home
• We are transparent — from L-levels to salary, strategy, financial reports, and beyond
• You will have our full support towards gaining expertise