Senior Data Engineer: Tech Lead for Data Pipelines

Unum; Dunwoody (GA); On-site; USD 98,000 - 202,000; Full time

Benefits offered by this job

Award-winning culture

Diversity & inclusion

Performance incentives

Health benefits

Paid time off & volunteering

401(k) match

Mental health support

Career advancement

Student loan repayment

Tuition reimbursement

Flexible work environment

Job summary

Unum is seeking a Senior Data Engineer to serve as a hands-on technical lead for data engineering across assigned Value Streams. You will design and deliver complex data pipelines, ETL/ELT processes, data warehouses, data marts, and data models using Snowflake, SQL, Python, and modern tooling.

You will mentor engineers, lead design and code reviews, and drive best practices in data modeling, integration, automation, testing, and deployment across enterprise environments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field preferred.
• 6+ years of experience in Data Engineering, Software Engineering, Data Integration, or related technical disciplines.
• Hands-on experience designing and building complex data pipelines, ETL/ELT solutions, data warehouses, data marts, and data models in large-scale enterprise environments.
• Strong hands-on expertise with Snowflake, SQL, Python, and modern ETL/ELT technologies.
• Experience working with cloud data platforms and integrating data through APIs, batch, near-real-time, and real-time integration patterns.
• Deep knowledge of data modeling, data integration patterns, solution design, and modern data engineering practices.
• Demonstrated ability to translate enterprise architecture patterns, standards, and guardrails into detailed, scalable, production-ready technical designs.
• Proven experience serving as a hands-on technical lead, including making design decisions, conducting design and code reviews, solving complex engineering problems, and guiding engineers through implementation.
• Strong understanding of DevOps and CI/CD practices, Git, automated testing, automation, deployment, and operational excellence.
• Experience delivering solutions within complex enterprise data environments involving multiple systems, platforms, and data sources.
• Familiarity with legacy data platforms such as Teradata and DB2 is beneficial, particularly within modernization or transformation environments.
• Demonstrated ability to mentor engineers and influence technical direction while remaining actively involved in engineering delivery.
• Strong problem-solving, communication, and stakeholder management skills.
• Strong business acumen with the ability to balance technical quality, delivery objectives, and business outcomes.

Responsibilities

• Serve as hands-on technical lead for data engineering across Value Streams.
• Lead design and implementation of complex data engineering solutions, including data pipelines, ETL/ELT processes, data warehouses, data marts, data models, and enterprise data assets.
• Translate enterprise architecture standards, patterns, and governance guardrails into detailed, scalable, and implementable technical designs.
• Actively contribute to solution design and engineering, troubleshooting complex technical challenges and guiding solutions through implementation and production.
• Make key technical design decisions and lead design and code reviews to ensure solutions meet scalability, reliability, security, performance, and maintainability standards.
• Lead complex integrations across cloud, on-premises, internal, and external data sources, including batch, near-real-time, real-time, and API-based integrations.
• Partner with architects, product owners, analysts, engineers, and business stakeholders to understand requirements and determine appropriate technical solutions.
• Establish and promote engineering best practices for data modelling, integration, automation, testing, performance optimisation, deployment, and operational support.
• Guide engineers through implementation and provide hands-on technical coaching and mentoring to strengthen engineering capabilities across teams.
• Support Value Stream transformation through the adoption of modern data engineering patterns, technologies, and development practices.
• Apply approved AI-enabled tools where appropriate to improve engineering productivity, quality, and delivery.

Skills

Data engineering

ETL/ELT pipelines

Data modeling

Cloud data platforms

DevOps & CI/CD

SQL

Python

Stakeholder management

Mentoring

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

SQL

Python

ETL/ELT tools

Git

Job description

Unum is seeking a Senior Data Engineer to serve as a hands-on technical lead for data engineering across assigned Value Streams. You will design and deliver complex data pipelines, ETL/ELT processes, data warehouses, data marts, and data models using Snowflake, SQL, Python, and modern tooling.

You will mentor engineers, lead design and code reviews, and drive best practices in data modeling, integration, automation, testing, and deployment across enterprise environments.