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Über
build and own our data infrastructure from the ground up. In this role, you will transform fragmented data sources into a centralized, scalable, and reliable data platform that powers reporting, analytics, and decision-making across the company. Your work will directly enable teams across marketing, finance, operations, and product to operate with accurate, trusted data; eliminating manual work, inconsistencies, and reporting gaps. Responsibilities
Design, build, and maintain scalable
data pipeline
s that transform raw data into analytics-ready datasets
Develop clean, structured
data models
that standardize business metrics and reporting
Implement
data qualit
y checks, testing frameworks, and monitoring systems to ensure reliability
Build and maintain
integrations
with APIs, databases, and third-party tools
Design and manage the
data warehouse architecture
for scalability and performance
Optimize pipeline performance
, cost efficiency, and data processing workflows
Partner with cross-functional teams to translate business needs into technical data solutions
What Success Looks Like
A
fully operational
, scalable
data warehouse
with core business data centralized
Reliable, automated pipelines
with minimal failures and no manual dependencies
Consistent,
standardized metrics
across all dashboards and teams
High trust in data across the organization, enabling faster and better decisions
Who You Are:
You
think in systems
and build for
long-term scalability
, not quick fixes
You take full ownership of
data accuracy
and
reliability
You move fast but don’t compromise
data integrity
You proactively identify issues and solve problems before they impact the business
You collaborate effectively with both technical and non-technical stakeholders
Experience & Skills:
3–6+ years of experience in Data Engineering or similar roles
Strong Python and advanced SQL (joins, aggregations, window functions, optimization)
Experience building and maintaining production-grade data pipelines
Solid understanding of data warehousing concepts and data modeling
Experience working with APIs, cloud infrastructure (AWS preferred), and modern data stacks
Nice to have:
Experience in eCommerce or DTC environments
Familiarity with tools like BigQuery, Snowflake, Redshift, dbt, Airflow, Fivetran, or Airbyte
Exposure to marketing analytics (CAC, LTV, attribution models)
Why Alpha Lion: Alpha Lion is a fast-growing, performance-driven brand focused on helping people unleash their Superhuman potential. We are building scalable systems, raising the bar on execution, and creating long-term competitive advantage in our category. This role offers the opportunity to work on high-impact initiatives, learn rapidly, and grow alongside a company that values ownership, curiosity, and results. If you’re excited by optimization, experimentation, and building systems that scale, Alpha Lion is a place where your work will matter. Application Process
Apply: Submit your resume + a brief note explaining why you’d crush it in this role.
Screen: TA team reviews for skills and cultural alignment.
Cultural + Behavioral: In this step, you will take a personality assessment to see how you will perform in the role, then review it on a call with a cultural specialist here.
Interview: Conversations with the hiring manager and team.
Final Round: Case study or work simulation (role-specific).
Decision & Offer: We move fast — typically within 2–4 weeks.
Compensation: We believe in competing at a high level — and that includes how we approach pay. This is a remote-first role, open to candidates anywhere in the U.S. The expected base salary range for this position is $50,000- 70,000 (USD). Your offer will reflect your experience, skill set, and where you live — we calibrate pay to ensure fairness and alignment with local markets. Beyond base pay, team members may be eligible for performance bonuses, growth incentives, and benefits built to support their health, wellness, and professional goals.
Alpha Lion is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
Sprachkenntnisse
- English
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