Senior Data Engineer: Hands-On Lead for Data Pipelines

Unum; Columbia (SC); On-site; USD 98,000 - 202,000; Full time

Benefits offered by this job

Award-winning culture

Inclusion and diversity as a priority

Performance Based Incentive Plans

Health, Vision, Dental, Short & Long-­

Generous PTO including paid time tovol

401(k) employer contribution up to 9.5

Mental health support

Career advancement opportunities

Student loan repayment options

Tuition reimbursement

Flexible work environments

Job summary

Unum seeks an experienced Senior Data Engineer to act as a hands-on technical lead across Value Streams, delivering scalable data pipelines, ETL/ELT processes, and data models using Snowflake, SQL, and Python. You will mentor engineers, lead design reviews, and drive best practices in a large enterprise.

You will partner with architects, product owners, and stakeholders to ensure secure, reliable data solutions while advancing modernization initiatives. This role is based in Columbia, SC.

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 with cloud data platforms and integrating data through APIs, batch, near-real-time, and real-time patterns.
• Mentor engineers, lead design/code reviews, and drive best practices across teams.

Responsibilities

• Serve as the hands-on technical lead for data engineering across assigned Value Streams, providing technical direction across at least two Value Streams.
• Lead the 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 scalable, reliable, secure, and maintainable solutions.
• 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 modeling, integration, automation, testing, performance optimization, 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 modern data engineering patterns, technologies, and development practices.

Skills

Hands-on data engineering

ETL/ELT design

Technical leadership

Mentoring engineers

CI/CD practices

SQL expertise

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

SQL

Python

ETL/ELT tooling

Job description

Unum seeks an experienced Senior Data Engineer to act as a hands-on technical lead across Value Streams, delivering scalable data pipelines, ETL/ELT processes, and data models using Snowflake, SQL, and Python. You will mentor engineers, lead design reviews, and drive best practices in a large enterprise.

You will partner with architects, product owners, and stakeholders to ensure secure, reliable data solutions while advancing modernization initiatives. This role is based in Columbia, SC.