Senior Data Engineer - Remote, Azure & Big Data Leader

ETFbook; United States; Remote; USD 100,000 - 156,000; Full time

Benefits offered by this job

Remote work across Europe timezone

Competitive B2B contract

Growth opportunities in a fast-paced I

Impactful ETF data projects

Real-world product development impact

Culture of innovation

Biannual team-building events

Job summary

ETFBOOK is seeking an experienced Data Engineer to design and maintain robust data pipelines on Azure-based Databricks. You will help define the data model and deliver trusted datasets to clients, reporting to the Lead Data Engineer in a collaborative tech team.

You will contribute to end-to-end data delivery, collaborate with analytics, data science, and product teams, and mentor junior engineers while focusing on security, performance, and cost optimization.

Qualifications

• 8+ years of professional experience in Data Engineering.
• Experience with Spark, Databricks, dbt, Snowflake or similar.
• 8+ years programming in Python, Java/Scala, or C#.
• Experience with big data storage like Delta Lake, Iceberg, HDFS.
• Knowledge of data governance, security and performance optimization.
• Strong communication and stakeholder management.
• Experience leading cross-functional projects.
• Ability to mentor junior engineers.
• Ability to provide technical leadership and work independently.

Responsibilities

• Leads complex data engineering projects and pipeline development.
• Designs scalable, secure, and high-performance data architecture.
• Defines engineering standards and best practices for data pipelines.
• Works closely with Data Analytics, Data Science, Product, and the whole rest of engineering teams.
• Mentor junior engineers and provides technical guidance.
• Drives improvements in performance, reliability, security, and cost optimization of the data platform.

Skills

Data engineering

Spark/Databricks

Programming languages (Python/Java/SC/

Big data storage

Data governance

Security & performance

Cross-functional leadership

Mentoring

Stakeholder management

Tools

Databricks

dbt

Snowflake

Delta Lake

Iceberg

HDFS

Job description

ETFBOOK is seeking an experienced Data Engineer to design and maintain robust data pipelines on Azure-based Databricks. You will help define the data model and deliver trusted datasets to clients, reporting to the Lead Data Engineer in a collaborative tech team.

You will contribute to end-to-end data delivery, collaborate with analytics, data science, and product teams, and mentor junior engineers while focusing on security, performance, and cost optimization.