Senior Staff Data Engineer, Circle
AI Solutions
$200-257.5k
SQL
AWS
GCP
Python
Scala
Kafka
Airflow
Tensorflow
Hadoop
Azure
Snowflake
PyTorch
BigQuery
Expert level
Remote in US
Digital dollars for global prosperity
Be an early applicant
Digital dollars for global prosperity
1001+ employees
FintechB2BCryptocurrencyBankingPaymentsDeep TechFinancial ServicesSaaSBlockchainWeb 3.0
Be an early applicant
$200-257.5k
SQL
AWS
GCP
Python
Scala
Kafka
Airflow
Tensorflow
Hadoop
Azure
Snowflake
PyTorch
BigQuery
Expert level
Remote in US
1001+ employees
FintechB2BCryptocurrencyBankingPaymentsDeep TechFinancial ServicesSaaSBlockchainWeb 3.0
Company mission
To raise global economic prosperity through the frictionless exchange of value.
Role
Who you are
- 10+ years of experience in data engineering, with a focus on building data solutions for AI and machine learning applications
- Advanced proficiency in SQL and expertise in data warehouse technologies such as BigQuery, Snowflake, or Databricks, enabling effective data management and optimization
- Strong coding skills in programming languages such as Python or Scala, with experience in frameworks commonly used for machine learning and AI (e.g., TensorFlow, PyTorch)
- Extensive experience in designing and implementing scalable data pipelines and architectures for large-scale AI applications, demonstrating proficiency in workflow orchestration tools (e.g., Airflow, Dagster)
- Proven experience creating and maintaining feature stores, ensuring the efficient delivery and retrieval of features for model training and real-time inference
- Knowledge of data technologies and platforms (e.g., Hadoop, Kafka) and experience with cloud services (AWS, GCP, Azure) to support data processing and storage needs
- Thought leadership and autonomy in defining our strategy for how our AI platform will interact with our data ecosystem (data platform and assets)
- Strong multi-stakeholder partnership and collaboration skills, with the ability to effectively partner with:
- Data Platform: Defining requirements for a feature store and other data platform features
- AI Platform: Defining data access patterns for the different AI platform components to ensure seamless integration
- Data Governance: Ensuring compliance with our data governance policies—such as access control and purpose policies—through programmatic enforcement
What the job involves
- As a Senior Staff Data Engineer specializing in AI solutions, you will drive the design and development of innovative data architectures and pipelines that support the training of AI models and enhance the integration of data into AI platforms
- Your expertise will play a crucial role in advancing our AI initiatives and enabling smarter decision-making across the organization
- You will collaborate with cross-functional teams to ensure that high-quality, scalable, and efficient data solutions are implemented, laying the foundation for AI-powered insights and products
- Design and implement robust data architectures and ETL/ELT pipelines specifically tailored for AI model training and data ingestion into AI platforms
- Develop and maintain feature stores to serve as centralized repositories for dynamic, high-quality features crucial for training and serving AI models. Ensure easy access to and versioning of features for data scientists and AI engineers
- Collaborate with data scientists and AI engineers to understand data requirements, optimize data flows, and enable seamless access to high-quality data for model training
- Build automation and monitoring capabilities around feature engineering processes, including real-time feature computation and batch processing, to enhance model training efficiency
- Implement data governance and quality assurance practices to ensure the integrity, accuracy, and reliability of the data and features used in AI applications
- Explore and integrate new data technologies and tools that enhance data processing efficiencies and support AI initiatives
- Mentor and lead junior data engineering staff, promoting guidelines and innovative solutions within the data engineering community
- Collaborate with stakeholders across product, engineering, and analytics teams to identify and prioritize opportunities to drive AI initiatives and improve business outcomes
Our take
Circle is a financial technology firm looking to enable businesses to harness the power of digital currencies and public blockchains for payments, commerce, and financial applications. The company’s USD Coin (USDC) has become the fastest growing, regulated, and fully reserved dollar digital currency.
The company is backed by the world’s largest asset manager, BlackRock, as well as crypto exchange company Coinbase, and has been proactively preparing for possible upcoming federal regulations. Regardless of the current crypto downturn, this means that Circle is still well-placed to see steady long-term growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Top investors
19% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Apr 2022
$400m
GROWTH EQUITY VC
May 2021
$440m
GROWTH EQUITY VC
Total funding: $1.1bn
Company benefits
- We offer flexible paid time off — so you can thrive at work, and at rest
- No matter where you live, we offer a market competitive suite of health benefits to help keep you and your loved ones safe
- Work Remotely: Do your best work from home. With a company laptop, stipend for business equipment, and access to WeWork locations, Circle remote jobs empower our employees to do their best work.
- All U.S. employees enjoy 401(k) benefits with company matching, and can become owners in Circle through our equity program
Company values
- Multistakeholder - We must organize, incentivize and measure ourselves against meeting the needs of all of our stakeholders
- Mindful - We seek to be present and aware, to be respectful, active listeners (with each other and with our customers alike), and pay attention to detail
- Driven by Excellence - We relentlessly pursue excellence, we do not tolerate mediocrity, we reward based on merit, and we work intensely to achieve our goals
- High Integrity - We seek open and honest communication, and hold ourselves to very high moral and ethical standards
Company HQ
South Boston Waterfront, Boston, MA
Articles
Leadership
Jeremy Allaire
(CEO)Founder & former Chairman and CEO of Brightcove. Former Entrepreneur in Residence at General Catalyst Partners, CTO of Macromedia, and Co-Founder & former CTO of Allaire Corporation.
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