Model the Business
Build warehouses and dbt layers that match your real-world operations—not theoretical structures that engineers can't validate.
Data Engineering
Modern, reliable data pipelines and warehouse foundations that give your business a single source of truth—and the clarity needed for analytics, automation, and growth.
Strong data engineering is the backbone of every modern platform. When data is scattered, inconsistent, or hard to move between systems, everything else becomes guesswork. Good pipelines and models make your product, reporting, and decision-making stable and predictable.
We design and build ingestion pipelines, modeling layers, and warehouse structures using tools like Snowflake, dbt, Airflow, and Prefect. The goal is not just to move data, but to create durable, well-modeled datasets that your teams—and your applications—can trust.
Whether you're starting your first warehouse, replacing fragile pipelines, or modernizing legacy storage and reporting, the focus is the same: build a data ecosystem that's accurate, observable, easy to extend, and aligned with how your business actually works.
What We Build
- Batch & incremental ingestion pipelines
- API-based data syncing & third-party integrations
- Snowflake warehouses & dbt transformation layers
- Automated reporting & data delivery workflows
- Event-based data flows & SFTP automation
What This Means for You
- A warehouse that accurately reflects your business
- Pipelines you can trust—not ones you hope won't break
- Faster analytics and fewer manual reporting tasks
- Data that's easy to integrate across teams and tools
- A cleaner foundation for AI and automation later on
How We Approach Data Engineering
Every pipeline and model should serve a real business process—not just move data around. The goal is clarity, durability, and predictable outcomes.
Build for Reliability
Prioritize observability, test coverage, and clean orchestration so pipelines run consistently and recover intelligently.
Design for Evolution
Use patterns and modular design so your data ecosystem grows with your product—not into a fragile system that collapses under scale.
From Source to Warehouse
A clear, predictable process that turns raw data into reliable, structured information.
1. Ingest
Pull data from APIs, databases, files, or events with proper retries and validation.
2. Transform
Use dbt to model raw data into clear, dimensional structures aligned with your business.
3. Model
Create curated layers for analytics, product features, or integrated systems.
4. Deliver
Automate reporting, syncs, and downstream processes with reliable orchestration.
"Reliable data pipelines turn chaos into clarity—and clarity into momentum."
Good data engineering makes your entire company more confident, more aligned, and more capable of scaling.
Need a Reliable Data Foundation?
If you're tired of fragile pipelines, manual reporting, or inconsistent datasets, we can build a modern, durable data ecosystem that supports your next stage of growth.
Schedule a Data Conversation
StepStream Solutions is a fractional CTO and product acceleration studio helping founders build trustworthy data platforms and modern cloud foundations.
Solutions
How We Partner
- Fractional CTO leadership for seed to growth teams
- End-to-end data platform and product assessments
- Embedded squads for net-new builds or modernization
Connect
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- Address
- Remote-first · Dallas, TX
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- Phone
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- hello@stepstream.io
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- Availability
- Mon–Fri · 8am – 6pm CT