Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Senior Data Engineer - Spark/Scala

Job

IMPRESSICO BUSINESS SOLUTIONS

Atlanta, GA (In Person)

Full-Time

Posted 3 days ago (Updated 12 hours ago) • Actively hiring

Expires 7/26/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
83
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Role:
Senior Data Engineer -
Spark/Scala Location:
Atlanta, GA, USA (ONSITE)
Duration:
Contractual Experience Req:
4+
Years JD:
What You Will Do Data Engineers build, optimize, and maintain the Symphony platform s data pipelines, models, and integrations using Spark/Scala in a local first development environment. Key Responsibilities Develop and maintain Spark/Scala data pipelines for marketing data integration. Implement metadata driven transformations and reusable engineering patterns. Perform refactoring and cleanup of Phase 1 codebase. Optimize performance, scalability, and reliability of data workflows. Conduct root cause analysis and resolve production issues. Implement automation and CI/CD best practices. Collaborate with Business Analysts to translate data driven requirements. Ensure no ETL logic is embedded in pipelines - pipelines used strictly for scheduling. Must have Skills 4-7+ years in data engineering. Strong Spark/Scala development experience. Hands on experience with Azure Synapse; familiarity with Fabric is a plus. Strong SQL, data modeling, and warehousing skills. Experience with metadata driven or parameterized frameworks. Ability to work independently in a discovery driven environment. Nice to Have Skills Marketing data domain knowledge. Experience with automation first engineering cultures.