Job Description

Job Description

Senior Data Engineer | Hybrid | $130,000 – $170,000 | Lawrenceville, GA

Are you a data engineering expert who thrives on designing scalable data systems and optimizing pipelines that power enterprise-level analytics? Do you enjoy solving complex data challenges, mentoring teams, and building high-impact infrastructure in a collaborative, fast-paced environment? If you're looking for a role with real ownership, technical depth, and cross-functional influence, this Senior Data Engineer opportunity could be exactly what you’re looking for.

We’re partnered with a growing, mission-driven technology organization seeking a Senior Data Engineer to architect and enhance its next-generation data platform. This is a hands-on leadership role where you’ll shape data strategy, build robust pipelines, and ensure the integrity, security, and efficiency of enterprise data solutions across cloud environments.

Key Responsibilities:

Architecture and Engineering

• Architect and implement scalable, cost-efficient data models and schemas across various storage platforms.
• Optimize batch and near real-time data pipelines to ensure performance, resilience, and quality.
• Own the technical vision and influence best practices in ETL/ELT workflows, CI/CD, and cloud-native data architecture.

Collaboration and Mentorship

• Collaborate with cross-functional stakeholders to understand data needs and design fit-for-purpose solutions.
• Mentor junior engineers and contribute to building a high-performing, inclusive team culture.
• Document systems, processes, and governance policies to drive transparency and maintainability.

Governance and Compliance

• Implement robust data governance and security frameworks, ensuring compliance with regulatory standards.
• Monitor system health, troubleshoot performance issues, and proactively improve data infrastructure.

Key Skills & Qualifications:

Required:

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• 5+ years of experience in data engineering roles.
• Strong programming expertise in Python and/or Java.
• Deep proficiency with SQL and modern database systems.
• Expert-level experience in big data technologies such as Apache Spark and Hadoop.
• Hands-on experience with cloud platforms (Azure) and tools like Snowflake, Redshift, or BigQuery.
• Proficiency with version control (Git) and CI/CD best practices.
• Strong problem-solving skills and the ability to work with ambiguous requirements.

Preferred:

• Experience with stream processing platforms like Kafka or Flink.
• Background in the hospitality industry or other customer-centric verticals.
• Proven ability to communicate complex technical topics to executive audiences.
• Familiarity with data modeling, ETL design patterns, and secure software development principles.

We’re actively scheduling interviews, apply now to secure your spot and take the next step in your data engineering journey!

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