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.

Data Architect/ Data Lead/ Senior Data Engineer

Job

Scalable Systems

Atlanta, GA (In Person)

Full-Time

Posted 3 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/14/2026

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

Scalable Systems is a USA based Big Data, Analytics and Digital Transformation company focused on vertical specific innovative solutions. By providing next generation technology solutions and services, we help organizations to identify risks & opportunities, achieve operational excellence and to gain an innovative edge. Senior Data Engineer Work location : 4 days/week at the client office in Midtown, Atlanta GA Contract on W2
Note:
Please submit local candidates only Position Overview We are seeking a Senior Data Engineer to join the core Symphony platform team in an onshore capacity. This is a hands-on development role focused on building, maintaining, and optimizing data pipelines and warehousing solutions. The engineer will work within a local-first development model and is expected to be a strong, independent contributor capable of owning complex workstreams. Key Responsibilities Design, develop, and maintain data pipelines using Scala and SQL on Apache Spark Monitor and support Phase 1 pipelines post go-live Investigate and remediate pipeline failures, data quality issues, and performance bottlenecks Lead refactoring and cleanup of existing Phase 1 code Optimize existing solutions for performance and scalability Build and contribute to reusable patterns and automation frameworks Work within metadata-driven architecture Ensure pipelines are used strictly for scheduling•ETL logic must remain in code Manage code using GitHub version control Contribute to discovery sessions to derive requirements directly from data
Required Skills & Experience Must Have :
8-10 years of hands-on data engineering experience Strong understanding of Apache Spark and its core concepts Proficiency in Scala and/or Java•code-first approach required Advanced SQL skills Experience with Azure Synapse Working knowledge of GitHub for source control Experience with data warehousing and large-scale data integration Nice to
Have:
Experience with Microsoft Fabric Background in marketing data or consumer goods analytics Familiarity with metadata-driven architectures
Non-Negotiables :
Must be a hands-on builder Must be available to mobilize immediately Must commit to 4 days/week onshore Scalable Systems is an Equal Opportunity-Affirmative Action Employer•Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation