Senior Data Engineer

OUR MISSION

At Torch, we believe in the power of people. People are the heart of every success story. They collaborate to achieve ambitious things together. And they inspire others to build a better future. 

We believe leadership is about driving change, not just managing it. Our coaching adapts to the organization's needs, empowering leaders to tackle today’s challenges—whether navigating AI, strengthening teams, or inspiring innovation. We focus on creating a lasting impact from day one, preparing organizations for the future.

OUR VALUES

All Torch employees are expected to reflect and enhance our company values.

The future is bright:

It’s not wishful thinking—it’s clear-eyed determination with a dash of refreshing optimism. We are actively reimagining the world of leadership and leaning into our unique strengths to bring it to life.

Pass the torch:

(yeah, we went there 🔥): It’s not just a moment, it’s a mindset. A commitment to the ongoing process of developing talent around us, embracing new ideas, without clinging to the past or hoarding knowledge.

No one succeeds alone:

The lone wolf trope is tired. It overlooks the rest of the team. We choose instead to practice leadership in community. Multiplying our efforts by trusting each other and welcoming diverse perspectives.

Change is our catalyst:

Change isn’t something to fear—we see it as an opportunity to be bold, grow, adapt, and roll with the punches. So, let’s focus maniacally, face it head-on, move with the speed, and shape it into something great.

Lead from the inside out: 

We believe in peeling back the layers, facing our truths, and owning our complexities. Because the better we know ourselves, the better we can lead others. And the more self-aware we are, the more expansive our capacity to grow becomes.

THE TEAM

The Data & Analytics team at Torch is looking for an experienced Senior Data Engineer who can uplevel our insights delivery reporting directly to the Senior Engineering Manager. In this role, you’ll have the opportunity to shape Torch’s data strategy and drive insights that inform product decisions across the company.

• Manage our data pipeline infrastructure (Redshift &  DMS), knowledge of zero-ETL a plus.
• Manage our DBT implementation and develop new data models and pipelines.
• Identify and prioritize opportunities to improve data quality, data capture, accessibility, and governance.
• Create data models that provide business visibility into metrics such as user engagement, growth, customer health and more.
• Share knowledge across teams, developing best practices and standards for analytics engineering and data warehousing.
• Automate processes to increase efficiency of data analysis across Torch.
• Collaborate with cross-functional stakeholders to understand business needs and deliver data products that enable smarter decision-making.

• 5+ years of experience as an Analytics Engineer, Data Analyst or Data Engineer
• 2+ years of experience with DBT, DMS, Redshift, or similar tools
• Expertise with SQL, python and data modeling concepts
• Experience with a modern business intelligence tool (Preset / Superset preferred)
• Familiarity with version control tools such as Git

• Experience with orchestration and ingestion tools such as Airbyte, Dagster, Airflow and lambda functions
• Experience with Cube Cloud or similar tools
• Background or interest in AI and ML Data Ops
• Background in statistics or data science

• Health Insurance (medical, dental, and vision)
• Unlimited FlexTime
• 401k Retirement Plan
• Life & Disability Insurance
• Paid Parental Leave
• Torch Coaching
• UP Days (flexible Fridays)
• Remote Work Stipend

Torch ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.