Data Engineer

Welcome to Foundry, a cryptocurrency pioneer dedicated to advancing decentralized infrastructure. At Foundry, we’re not waiting for a decentralized financial future — we’re building it now. By empowering institutions with the tools they need to mine and stake digital assets, we’re thoughtfully driving the industry forward with our team at the center of it all.

If you thrive on innovation, are inspired by the potential of blockchain technology and are passionate about being part of transformative global changes, then we’d love to connect. At Foundry, your skills will find purpose as you contribute to shaping the architecture of a more equitable and interconnected world through blockchain technology. Come be a vital member of the Foundry team, where your contributions will help empower a decentralized future. 

This position is based at Foundry in India. 

DESCRIPTION: The Data Engineer is an exciting opportunity for a motivated and passionate individual to join the team at Foundry, a subsidiary of the blockchain industry’s most prolific and active investor, Digital Currency Group. Reporting to the Engineering Manager, the Data Engineer will be a key technical leader responsible for designing, implementing and optimizing our data infrastructure pipelines.

This is a rare invitation to join a small, highly professional entrepreneurial group, with the backing of the most established player in the fast-growing crypto space.

PRIMARY RESPONSIBILITIES: focus on maintaining the data infrastructure and pipelines. You will work closely with our data analysts to understand data requirements and ensure availability, quality and reliability of our data assets. 

WHAT YOU WILL DO:

• Architect and lead the development of robust and scalable data collection infrastructure, covering various protocols.
• Oversee the collection, research, and analysis of operational and blockchain data.
• Drive initiatives to enhance data system performance and reliability, Innovate and optimize internal data practices, addressing gaps and inefficiencies.
• Ensure impeccable data accuracy and completeness during transfer and loading into enterprise repositories.
• Spearhead the establishment and maintenance of security and integrity controls.
• Formulate and monitor data warehouse management policies, procedures, and standards.
• Lead cross-functional project teams in analyzing business requirements, conducting complex data analysis, and supporting user acceptance testing for diverse data needs.
• Expertly organize and interpret data trends, uncovering patterns and insights.
• Collaborate closely with crypto product managers, business analysts, and engineers to fulfill data requirements.
• Develop advanced scripts to automate complex accounting and data processes.
• Lead scripting and scraping projects for data modeling preparation.
• Optimize and refine data architecture for seamless retrieval.
• Enhance data resiliency, redundancy, and recovery mechanisms.
• Develop cutting-edge tools for identifying and documenting public data sources.
• Analyze and interpret operational data from various infrastructure systems, collaborating closely with the Infrastructure Team.
• Spearhead the design and management of comprehensive data lakes and data marts for infrastructure data.
• Develop and implement advanced data solutions while driving infrastructure information gathering initiatives.

Minimum Qualifications; Knowledge, Skills and Abilities:

• Bachelor’s degree in computer science, data engineering, information technology, or a related field.
• 5+ years of hands-on experience in data engineering, with a track record of delivering complex data solutions, or equivalent experience.
• Expertise in programming languages such as Python, Java, or Scala. Python preferred.
• Deep knowledge of database systems (SQL, NoSQL) and advanced data modeling concepts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Kafka) and distributed computing.
• Strong experience with cloud platforms (AWS preferred) and containerization technologies (Docker preferred).
• Strong experience working with Snowflake data warehouse.
• Strong experience with data transformation tools like dbt (data build tool).
• Strong proficiency in job scheduling and orchestration tools such as Prefect, Dagster, or Airflow.
• Familiarity with data integration tools like Fivetran, Stitch, Hevo, Airbyte.
• Experience with Terraform for managing data infrastructure.
• Excellent problem-solving skills, attention to detail, and ability to lead technical projects.
• Effective communication and collaboration skills, with the ability to work across cross-functional teams.

Preferred Qualifications; Knowledge, Skills and Abilities:

• Certifications in AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Microsoft Certified
• Experience with advanced data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake, as well as expertise in data warehousing best practices
• Familiarity with machine learning and artificial intelligence concepts and tools
• Expertise in data governance frameworks and data compliance regulations, such as GDPR or HIPAA
• Proficiency in DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines
• Prior experience working in a startup environment, with an understanding of the fast-paced and dynamic nature of startups
• Experience working with global teams

WHAT WE OFFER: 

• The chance to work in a fast-paced and fun start-up environment with experienced industry leaders
• A learning environment where you can dive deep into the latest technologies and make an impact
• Competitive base salary, bonus and incentive compensation Unlimited PTO / Flexible time off – work with your manager to take time off when you need it
• Professional development budget with flexibility for personal and professional growth
• Outstanding health insurance for employee, partner and dependents
• Life insurance, short-term & long-term disability coverage
• 401K plan with company contribution (Bermuda: Private pension plan with company contribution)
• Flexible spending programs for medical and dependent care (Not available for Bermuda positions)
• Paid parental leave

ENVIRONMENT: 

Foundry takes pride in an environment which prioritizes our people. We insist that our people first culture builds the framework for all business operations.   

Employees have ample opportunities to voice thoughts, opinions, and ideas through weekly companywide meetings, monthly townhalls, and team outings and events.   

We emphasize the importance of each individual through engagement, teamwork, inclusion, and diversity efforts.  

Foundry is an Equal Opportunity Employer and embraces diversity. We do not tolerate discrimination or harassment based on race, color, religion, marital status, gender (including pregnancy, childbirth or related medical conditions), gender identity, sexual orientation, parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or any other non-merit-based factors protected under federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.

ABOUT FOUNDRY: 
At Foundry, we are working toward a common goal of empowering a decentralized infrastructure. Our team is passionate about the future of finance and is looking for other like-minded individuals who share in this vision. While we are inclusive and diverse in workforce and style, we all agree that digital assets will change the world. 

Foundry was created to meet the institutional demand for better capital access, efficiency, and transparency in the digital currency mining and staking industry. 

As a Digital Currency Group company, Foundry taps unparalleled institutional expertise, capital, and market intelligence to provide North American bitcoin miners and global manufacturers with the resources to build, maintain, and secure decentralized networks. 

Disclaimer 
The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.