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Data Infrastructure Engineer

About Bastion

Bastion enables financial institutions and enterprises to issue regulated stablecoins, generate revenue on reserves, and expand their ecosystems. Bastion’s platform combines stablecoin issuance, secure custody, and seamless orchestration for cross-border transfers, on/off-ramps, and stablecoin conversions. With Bastion’s platform and APIs, businesses can create and scale their stablecoin network, while optimizing revenue, compliance, and control.

Overview

As a Data Infrastructure Engineer, you will be responsible for building and maintaining critical data infrastructure. You will build ingestion, analysis, and reporting pipelines that are at the core of Bastion’s leading compliance and product offerings. You’ll also work with teams across the entire Bastion organization, including compliance, legal, and finance. 

Given the foundational nature of this role, you will also be responsible for selecting appropriate technologies, managing external vendor relationships, and fostering a data-driven culture across the entire company. You will be expected to architect and build both real-time and batch data pipelines that ingest data from a variety of sources, delivering them to our data warehouse. In addition, you will be responsible for establishing strong security and privacy controls around sensitive data.

Responsibilities

  • Architect, build, and maintain modern and robust real-time and batch data analytics pipelines.

  • Develop and maintain declarative data models and transformations.

  • Implement data ingestion integrations for streaming and traditional sources such as Postgres, Kafka, and DynamoDB.

  • Deploy and configure BI tooling for data analysis.

  • Work closely with product, finance, legal, and compliance teams to build dashboards and reports to support business operations, regulatory obligations, and customer needs.

  • Establish, communicate, and enforce data governance policies.

  • Document and share best practices with regards to schema management, data integrity, availability, and security.

  • Protect and limit access to sensitive data by implementing a secure permissioning model and establishing data masking and tokenization processes.

  • Identify and communicate data platform needs, including additional tooling and staffing.

  • Work with cross-functional teams to define requirements, plan projects, and execute on the plan.

Qualifications

  • 5+ years of professional engineering and data analytics experience, startup experience a plus.

  • Strong proficiency and comfort using SQL and Python to perform complex data analysis.

  • Recent experience building automation tooling and pipelines using a general purpose language such as Python, Golang, and/or Typescript.

  • Experience with modern data pipeline and warehouse technologies (e.g. Snowflake, Databricks, Apache Spark, AWS Glue)

  • Strong proficient writing declarative data models and transformations using modern technologies (e.g. dbt)

  • Experience building and maintaining cloud-based data lakes.

  • Prior experience with integrating real-time data streaming technologies (e.g. Kafka, Spark)

  • Prior experience with configuring and maintaining modern data orchestration platforms (e.g. Airflow)

  • Comfort with infrastructure-as-code tooling (e.g. Terraform) and container orchestration platforms (e.g. Kubernetes)

  • Strong preference to keep things simple, ship fast, and avoid overengineering.

  • Self-driven and ability to work autonomously.

  • Professional Web3 / Crypto experience is a plus.

Bastion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and placement. Bastion participates in E-Verify to authorize eligibility of employment in the United States.

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What You Should Know About Data Infrastructure Engineer, Bastion

Join the growing team at Bastion as a Data Infrastructure Engineer, where your skills will play a vital role in helping financial institutions and enterprises navigate the world of regulated stablecoins. In this position, you will be at the heart of our data infrastructure, building and maintaining the pipelines that power our compliance and product offerings. At Bastion, we believe in collaboration, so you'll have the opportunity to work alongside various teams, such as compliance, legal, and finance, to create insightful dashboards and reports that support critical business operations and customer needs. This dynamic role will involve architecting modern analytics pipelines, integrating data from sources like Postgres and Kafka, and using tools such as Snowflake and Apache Spark to facilitate seamless data analysis. Your expertise in SQL and Python will be crucial as you develop and maintain effective data models that uphold our standards for data governance and security. Additionally, your innovative mindset in selecting technologies will foster a data-driven culture throughout our organization. If you're self-driven, enjoy working autonomously, and are eager to contribute to a fast-paced environment, Bastion is the perfect place for you to leverage your experience while driving impact in the world of stablecoins.

Frequently Asked Questions (FAQs) for Data Infrastructure Engineer Role at Bastion
What are the main responsibilities of a Data Infrastructure Engineer at Bastion?

As a Data Infrastructure Engineer at Bastion, your main responsibilities include architecting and maintaining robust real-time and batch data analytics pipelines, developing data models, integrating various data sources, and ensuring data security and governance policies. You will collaborate with multiple teams, such as compliance and finance, to create dashboards and reports that meet business requirements.

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What qualifications do I need to apply for the Data Infrastructure Engineer position at Bastion?

To apply for the Data Infrastructure Engineer position at Bastion, you need to have at least 5 years of professional engineering and data analytics experience, a strong proficiency in SQL and Python, and recent experience with modern data pipeline technologies like Snowflake, Databricks, and Apache Spark. Cloud-based data lakes and real-time data streaming technologies experience are also crucial.

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What technologies should I be familiar with as a Data Infrastructure Engineer at Bastion?

As a Data Infrastructure Engineer at Bastion, you should be well-versed in SQL, Python, data pipeline technologies like Snowflake and Databricks, along with streaming technologies like Kafka. Familiarity with data orchestration platforms like Airflow and infrastructure-as-code tools like Terraform is also beneficial.

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How does Bastion promote a data-driven culture in the company?

Bastion promotes a data-driven culture by fostering collaboration across departments and encouraging the use of data analytics for decision-making. As a Data Infrastructure Engineer, you will be instrumental in building infrastructure that supports data integrity, availability, and security, which is essential for driving insights and innovation across the organization.

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What is the working environment like for a Data Infrastructure Engineer at Bastion?

At Bastion, the working environment is dynamic and fast-paced, emphasizing collaboration and innovation. As a Data Infrastructure Engineer, you will work autonomously but also have the opportunity to collaborate with various teams to achieve common goals, driving impact in the evolving landscape of stablecoins.

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Common Interview Questions for Data Infrastructure Engineer
Can you describe your experience with data pipeline technologies like Snowflake and Databricks?

In your response, detail specific projects where you utilized these technologies, focusing on the challenges faced, the solutions implemented, and the outcomes achieved. Highlighting your ability to optimize processes and improve data accessibility will demonstrate your value as a Data Infrastructure Engineer.

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How do you ensure the security and privacy of sensitive data?

Discuss your approach to establishing data governance policies, implementing secure permissioning models, and utilizing data masking techniques. Providing real-world examples of how you've enforced these practices in previous roles can strengthen your response.

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What is your approach to developing and maintaining declarative data models?

Explain your methodology for creating clear and efficient data models, including the tools you use, your process for validating data integrity, and how you document these models for future reference, ensuring they remain up-to-date with organizational needs.

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Can you provide an example of a challenge you've faced when integrating real-time data streaming technologies?

Share a specific instance, detailing the technology used, the nature of the challenge, and the steps taken to overcome it. Highlighting your problem-solving skills and ability to adapt will show your readiness for the Data Infrastructure Engineer role.

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How do you communicate with cross-functional teams to define project requirements?

Describe your communication style and the tools you employ to facilitate discussions with cross-functional teams. Illustrate a previous experience where clear communication led to successful project outcomes and strengthened teamwork.

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What methods do you use to optimize data ingestion processes?

Discuss the strategies you've implemented to streamline data ingestion, such as automation or enhancing data sources. Focus on the efficiency gained and how these improvements contributed to the broader goals of your projects.

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How do you approach troubleshooting data pipeline issues?

Provide an overview of your troubleshooting framework, including how you identify the source of issues, the tools you use for monitoring, and any past experiences that demonstrate your effectiveness in resolving data pipeline challenges quickly.

Join Rise to see the full answer
What experience do you have with cloud-based data lakes?

Share your experiences in building or managing cloud-based data lakes, including the technologies you employed, the challenges you faced, and how these data lakes enhanced data accessibility and analysis for your team.

Join Rise to see the full answer
Can you explain your experience with infrastructure-as-code tooling like Terraform?

Discuss specific projects where you've utilized Terraform or similar tools to reduce provisioning time, enhance deployment consistency, and manage infrastructure more efficiently, showcasing your technical proficiency as a Data Infrastructure Engineer.

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What motivates you to work in the fast-paced environment of cryptocurrency and stablecoins?

Reflect on your passion for innovation and technology, especially in the rapidly evolving field of cryptocurrency. Share your enthusiasm for contributing to impactful projects and your commitment to staying current with industry trends.

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Full-time, remote
DATE POSTED
February 19, 2025

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