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About Brainforge
At Brainforge, we're on a mission to transform data into actionable insights that drive business success. As a rapidly growing data and AI consulting company, we partner with clients across industries to deliver cutting-edge Data, AI, and Strategy & Analytics solutions. Join our team and help shape how companies put data to work.
Transforming raw data into actionable insights
We help businesses boost revenue, save time, and make smarter decisions with Data and AI
Follow Us
https://www.brainforge.ai/
https://www.linkedin.com/company/brain-forge/
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Why join Brainforge?
- Work that ships: Build production pipelines and warehouses clients actually run on—not slideware.
- Modern stack, real ownership: Snowflake/BigQuery, dbt, Dagster/Airflow, CI/CD—and you own the design decisions.
- Client-facing craft: Sit with stakeholders, clarify requirements, and deliver solutions that stick.
- Human + AI > AI: Use AI to move faster without sacrificing engineering judgment or quality.
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Data Engineer
Remote · Contract → full-time path · Start: ASAP
Role overview
Brainforge is hiring a Data Engineer who builds the systems behind trustworthy analytics and AI. You design and ship ingestion, transformation, and warehouse infrastructure on client engagements—then stand behind what you built in the room with the people who use it.
This is consulting delivery, not a single internal platform. You’ll move between stacks and industries, make clear design tradeoffs, and leave behind pipelines and models that are readable, tested, and operable.
🔑 Key responsibilities
Pipelines & infrastructure
- Design, implement, and harden scalable data pipelines (batch and near-real-time as needed).
- Build and maintain cloud warehouses / lakehouses (Snowflake, BigQuery, Redshift, or Databricks) with sound modeling and access patterns.
- Own orchestration and ingestion—Airflow, Dagster, or Prefect; Airbyte, Fivetran, Polytomic, or equivalent custom patterns.
Transformations & quality
- Treat dbt as a first-class transformation layer: staging, marts, tests, and docs that other engineers can trust.
- Raise the bar on data quality, reliability, and cost—monitoring, testing, and performance as part of the build, not an afterthought.
Client delivery
- Partner with clients and CSOs to turn messy requirements into clear technical scope and shipped increments.
- Spin up PoCs and MVPs quickly when we need to prove an approach before betting the engagement on it.
- Write crisp documentation and explain tradeoffs to technical and non-technical stakeholders.
🧩 Background & skills
Must have
- You’ve shipped and maintained production data pipelines with SQL, Python, and (ideally) Spark.
- dbt is how you transform data—not a checkbox on a résumé.
- Hands-on with at least one modern warehouse (Snowflake, BigQuery, Redshift, or Databricks) and comfort in AWS, GCP, or Azure.
- You’ve run pipelines with an orchestrator (Airflow, Dagster, or Prefect) and integrated sources via managed tools or custom ingestion.
- You ship with CI/CD (e.g. GitHub Actions) and write code others can read, review, and extend.
Nice to have
- Opinions from working across multiple warehouses, orchestrators, or ingestion tools—and the tradeoffs you’d pick next time.
- Comfort with Docker / Kubernetes or similar infra patterns.
- Proven focus on data quality, governance, and reliability as product concerns.
- Experience optimizing pipelines for performance, cost, and operability in production.
🌟 Traits & mindset
- Builder first — you get energy from systems that run cleanly in production.
- Clear communicator — you can explain a pipeline to an engineer and a business owner without dumbing it down or drowning them.
- Client-centric — you listen hard, challenge fuzzy asks, and deliver what actually moves the needle.
- Craft + speed — you prototype fast, then harden what matters.
- Low ego, high standards — readable code, honest estimates, and blameless debugging.
📍 Location & logistics
- Location: Remote (overlap with US client / team hours preferred)
- Type: Contract with path to full-time based on performance
- Start date: ASAP
🎯 How to Apply
- Submit your application on this Form
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