Job Summary
The Senior Data Engineer will play a key role in designing, implementing, and optimizing Boost’s data infrastructure as part of our modern data platform initiative. This hands-on engineering role will focus on building scalable data pipelines, enabling a centralized enterprise data warehouse on Snowflake, and supporting business reporting needs via Tableau.The ideal candidate will collaborate across technology, operations, product, and analytics teams to create high-quality, governed, and reusable data assets, while supporting a long-term architecture aligned with Boost’s growth.This role is highly technical and focused on execution and is ideal for a data engineer who thrives in fast-paced environments and is passionate about data quality, performance, and scalability.
Reports to:
Head of Data Architecture and Reporting Strategy
Duties and Responsibilities
• Lead the design and development of data pipelines (ETL/ELT) to support the enterprise data warehouse.• Build and maintain Snowflake-based data models, ensuring performance, scalability, and cost-efficiency.• Implement robust data ingestion processes from multiple sources (e.g., SQL Server, Salesforce, APIs, flat files).• Collaborate with analytics and BI teams to power Tableau dashboards and support business reporting.• Partner with business teams to understand existing reports used by internal and external users; rationalize and centralize data delivery.• Assist in building a Single Source of Truth (SSOT) through automated and governed data pipelines.• Apply AI/ML techniques where applicable for data quality, matching, and normalization.• Enforce data security, access controls, and governance policies across platforms.• Develop and document architecture standards, pipeline logic, and data dictionary.• Optimize cost and performance of the Snowflake environment via clustering, caching, pruning, and resource monitoring.• Participate in Agile sprint planning, standups, and cross-functional collaboration.
Basic Qualifications
• 10+ years of experience in data engineering, data warehousing, or a related field.• Hands-on expertise with Snowflake including ingestion, transformation, and performance tuning.• Proficiency in SQL, Python, and ETL frameworks such as AWS Glue, or custom scripting.• Experience designing and supporting cloud-based data platforms.• Familiarity with Tableau or similar BI tools for enabling analytics use cases.• Experience integrating data from APIs, flat files, and relational databases.• Strong knowledge of data modeling (star/snowflake schemas), ELT/ETL best practices, and data pipeline orchestration.• Understanding of data governance, metadata management, and access control.• Excellent problem-solving, communication, and collaboration skills.• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
Preferred Qualifications
• Experience with data cleanup, fuzzy matching, or AI-driven normalization.• Familiarity with version control (GitLab) and CI/CD pipelines for data workflows.• Knowledge of Salesforce data structures and integration practices.• Previous experience in B2B payments or FinTech environments.• Familiarity with tools such as JIRA, Confluence, and Snowflake’s performance monitoring features.• Experience with building reusable data assets, reference data management, and lineage tracking.
We look for engineers who:
• Design for performance and reusability from day one.• Embrace simplicity in data modeling and transformation.• Integrate AI thoughtfully to enhance, not complicate, pipelines.• Document and automate — not patch and forget.• Collaborate across functions to bring transparency and trust to our data.
Job Type:
Full-time, Hybrid
Compensation: $130k - $150k annuallyWe’re an equal opportunity employer (EOE) that empowers our people. It is the policy of ELEVI to provide equal employment opportunities to all employees and employment applicants—without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws.
We fearlessly drive change, because without diversity of thought and a commitment to equality for all, there is no moving forward. Reasonable accommodations are available for qualified individuals with disabilities, upon request. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.
