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Job description
ABOUT US:
Braintrust is the only network that gives in-demand talent all the freedom of freelance with all the benefits, community and stability of a full-time role. As the first decentralized talent network, our revolutionary Web3 model ensures the community that relies on Braintrust to find work are the same people who own and build it through the blockchain token, BTRST. So unlike other marketplaces that take 20% to 50% of talent earnings, Braintrust allows talent to keep 100% of earnings and to vote on key changes to improve the network. Braintrust is working to change the way freelance works – for good.
- JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
- LOCATION: Remote - United States and Canada Only
- HOURLY RANGE: Our client is looking to pay $100 – $130/hr
- ESTIMATED DURATION: 40h/week - long-term, ongoing project
THE OPPORTUNITY
What You Have
5+ years of experience in Data Engineering role
3+ years of programming experience with at least one language such as Python, Scala, Java, or other modern OOP programing language
3+ years' experience in writing SQL statements
3+ years' experience with schema design and dimensional data modeling
Experience building and optimizing 'big data' data pipelines, architectures, and data sets
Experienced developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake at scale
Experience with real-time data streaming tools like Kafka, Kinesis, Apache Storm, or any similar tools
Experience in designing data engineering solutions using open source and proprietary cloud data pipeline tools such as Airflow, dbt, Glue, and Beam
Experience in development of custom built BI and big data reporting solutions using tools like Looker, DataStudio, or any similar tools
Experience with code management tools (e.g., Git, SVN) and DevOps tools (e.g., Docker, Jenkins)
Excellent communication and presentation skills, strong business acumen, critical thinking, and ability to work cross functionally through collaboration with engineering and business partners
What we'd love to see (but isn't required)
Supply Chain or Ecommerce analytics experience a strong plus
Bachelor's or Masters in Computer Science, Computer Engineering, Statistics, or another quantitative discipline
What you'll be working on
Senior Data Engineer, Supply Chain Data Engineering
Data Engineering is the engine that powers our client data obsessed eCommerce enterprise. They move fast, iterating quickly on big business problems. Data Engineering efforts are instrumental in further growing their market share in a $800 billion home goods market. Every day, they ingest billions of rows of data about how people pick out the perfect items for their home, and this data is what drives their business strategies and decisions. They build cutting-edge data platforms enabling advanced analytics and insights across their business and analytics teams.
As a senior data engineer, you will be a hands-on developer who designs, and delivers Data Warehouses, Data Lake, Self-service tooling, Real-time streaming, and Big Data Solutions for their rapidly growing Supply Chain Operations. Working within the Data Engineering organization, this individual will tightly partner with business, product managers and engineering leaders to build data platforms enabling these goals. You will be instrumental in building out the data pipelines to ensure their data is generated, transformed, and mutated over time, working to build a cohesive, scalable, accurate, and performant foundational source of truth upon which all data & analytics users across the company will build.
What You'll Do
Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements
Deliver Data Engineering capabilities for streaming and batch-based data ingestion, enrichment, and aggregation.
Design and develop sophisticated data models and visualizations that support multiple use cases across different products or domains.
Define and manage SLA for all data sets in allocated areas of ownership.
Work closely with data architect, SMEs, and other technology partners to develop & execute on the data architecture roadmap for different functional areas
Mentor and grow technical skills of engineers across multiple sprint teams by giving high quality feedback in design and code reviews and providing training for new methods, tools, and patterns
Collaborate with your stakeholders and other business analytics team leaders
ABOUT THE HIRING PROCESS:
Qualified candidates will be invited to do a screening interview with the Braintrust staff. We will answer your questions about the project, and our platform. If we determine it is the right fit for both parties, we'll invite you to join the platform and create a profile to apply directly for this project.
C2C Candidates: This role is not available to C2C candidates working with an agency. If you are a professional contractor who has created an LLC/corp around their consulting practice, this is well aligned with Braintrust and we'd welcome your application.
Braintrust values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
