Senior Data Engineer - Remote | ETL, Lakehouse & Databricks

Flexion Inc; United States; Remote; USD 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Health, dental, vision

401(k) plan

Zusammenfassung

Flexion Inc. is seeking a Data Engineer with a strong backend focus to deliver scalable data solutions for an enterprise-grade application.

You will partner with business and technical stakeholders to drive automation, monitor platform health, and advance modernization across the data stack. The ideal candidate has 5+ years of development experience, expert SQL, and proficiency in Python/Java/Scala, with Databricks and cloud data platforms.

Qualifikationen

• 5+ years of development experience in data engineering or related fields.
• Bachelor's degree or equivalent experience.
• Expertise in SQL and one/more programming languages (Python/Java/Scala).
• Experience designing ETL/ELT pipelines and data integration solutions.
• Strong knowledge of relational, NoSQL, and cloud-native databases.
• Experience with cloud data platforms (AWS/Azure/Google Cloud) and modern data services.
• Knowledge of data modeling, warehousing, and lakehouse architectures.
• Experience implementing data quality, governance, security, and metadata management.
• Performance tuning, monitoring, and troubleshooting of large-scale data systems.
• Databricks experience; test-driven development and automated testing.

Aufgaben

• Deliver scalable, high-performance data solutions for operational systems, reporting, analytics, and decision-making.
• Drive automation, monitor data platform health, and support modernization efforts.
• Collaborate with business and technical stakeholders to understand focus, scope, and impact.
• Ensure high-quality output and continuous improvement across the data stack.

Kenntnisse

5+ years exp

SQL

Python/Java/Scala

ETL/ELT

Databricks

Data modeling

Cloud data platforms

Data governance

Testing (TDD)

Ausbildung

Bachelor's degree

Tools

Databricks

AWS

Jobbeschreibung

Flexion Inc. is seeking a Data Engineer with a strong backend focus to deliver scalable data solutions for an enterprise-grade application.

You will partner with business and technical stakeholders to drive automation, monitor platform health, and advance modernization across the data stack. The ideal candidate has 5+ years of development experience, expert SQL, and proficiency in Python/Java/Scala, with Databricks and cloud data platforms.