Data Engineer
US$140,000 – US$160,000 / yr base salary
Posted 18 Sep 2025
Advertised as “Lead Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- People management
- Employment
- Remote
| Base salary | US$140,000 – US$160,000 / yr |
|---|
Field of studyComputer Science, Data Analytics, Information Systems (or related)
Study levelBachelor's or higher
About OneSix
OneSix is a data and AI services firm. We exist to make data and AI work for the businesses where it matters most. We take on the work companies can't afford to get wrong, embedding teams sized to the problem and working inside our clients' operations as partners, not extra hands. We build durable systems that outlast the engagement, and we leave every client more capable and more profitable than we found them.
We work with Healthcare and Life Sciences, Higher Education, Manufacturing, Private Equity, and marketing organizations. We're a Snowflake Elite services partner.
Five values guide our work: Always Truthful, Own the Outcome, Believe in the Work, Team Over Ego, and Learn Here, Lead Here.
Job Description & Responsibilities
The Senior Lead Engineer Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class BI tools to solve our clients' most pressing challenges.
- Define and drive the BI strategy, ensuring alignment with business objectives.
- Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
- Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
- Design, implement, and optimize scalable data models and architectures for reporting and analytics.
- Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
- Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
- Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
- Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
- Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
- Establish and enforce BI best practices, including data governance, security, and documentation.
- Monitor and improve query performance, data processing efficiency, and system scalability.
- Ensure compliance with data privacy and security regulations.