Spark Scala Engineer

Kanak Elite Services; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm is seeking a Spark Scala Engineer to either work in Brooklyn, NY, or remotely from nearby states. The ideal candidate should have strong Scala and Spark production experience, must be familiar with building and maintaining Airflow DAGs, and have a background in eCommerce or retail. Responsibilities include building data pipelines and collaborating with cross-functional teams to optimize marketplace operations. Strong debugging skills and teamwork are essential for this position.

Qualifications

• Strong Scala + Spark production experience required.
• Experience with Airflow DAGs is mandatory.
• Must demonstrate excellent communication skills.

Responsibilities

• Build and maintain Scala Spark jobs.
• Support real-time bidding data workflows.
• Collaborate with cross-functional teams.

Skills

Strong Scala + Spark production experience

Experience building and maintaining Airflow DAGs

Excellent communication and teamwork

Strong debugging skills

Python

Data analysis experience

Ads, forecasting, or marketplace domain knowledge

Job description

POSITION: SPARK SCALA ENGINEER

LOCATION: BROOKLYN, NY OR REMOTE (LOCAL TO NY OR FROM NEARBY STATES)

DURATION: 6 MONTHS

MUST BE FROM ECOMMERCE OR RETAIL

Responsibilities

• Airflow DAGs
• Scala Spark
• Data Analysis
• Python
• Build, maintain, and refactor Scala Spark jobs and Airflow DAGs
• Support data workflows that enable real-time bidding and marketplace optimization
• Collaborate with a cross-functional team to deliver high-quality, reliable systems
• Troubleshoot and debug production data pipelines
• Contribute ideas and improvements across the engineering team
• Able to focus on data quality, testing, and observability

Requirements

• Strong Scala + Spark production experience
• Experience building and maintaining Airflow DAGs
• Excellent communication and teamwork
• Strong debugging skills and ability to work independently
• Python
• Data analysis experience
• Ads, forecasting, or marketplace domain knowledge

Contact: [e-mail]