Data Engineer - Snowflake & DBT (Fintech)

Location: Arlington, VA; remote candidates may be considered if residing in a state where hirify.global or one of its subsidiaries has an established physical presence.

Salary: $96,300–$154,400 annual base salary; up to 10% annual incentive compensation eligibility.

Company

hirify.global provides small business financing as a direct lender and marketplace through a network of lending partners.

What you will do

• Build ELT pipelines on Snowflake and dbt across staging, conformed, dimensional, product, and governed serving layers.
• Implement data contracts, conformed entities, certified semantic definitions, relationships, and reusable transformation patterns.
• Migrate legacy analytics workflows such as Alteryx to dbt and Snowflake, including parity testing and legacy asset retirement.
• Implement data quality as code through dbt tests, freshness checks, reconciliation, validation queries, and pipeline observability.
• Use Git workflows, peer review, CI/CD, environment promotion, documentation, incident analysis, and root-cause corrective actions.
• Deliver against approved designs and acceptance gates, provide developer verification evidence, and collaborate with internal and partner engineers across onshore and offshore locations.

Requirements

• 5+ years of hands-on data engineering experience building production data pipelines and warehouse models.
• Strong production Snowflake experience, including warehouse and database objects, performance- and cost-aware SQL, role-based access concepts, tasks and streams or equivalent patterns, and production-scale loading.
• Production dbt experience with layered models, incremental models, tests, documentation, macros, shared multi-developer projects, and CI.
• Expert SQL skills, including complex transformations, window functions, performance tuning, and judgment about when SQL is unsuitable.
• Solid Python experience for ingestion utilities, API integrations, automation, and orchestration code.
• Experience with bronze/silver/gold or equivalent layered warehouse architecture, including layer discipline, grain, and conformed entities.
• Engineering fundamentals including Git, code review, CI/CD, environment promotion, and automated testing.
• A thorough data quality and verification mindset, including reconciliation and complete developer verification evidence; formal acceptance validation is performed independently.
• Clear written communication for design notes, pull requests, and documentation across time zones. Candidates with 8+ years may be considered for Senior Data Engineer and must demonstrate workstream leadership, design ownership, code-review responsibility, and mentoring.

Nice to have

• Experience migrating Alteryx, SSIS, SAS, stored-procedure estates, or similar workloads to a modern cloud stack with parity testing.
• Experience in financial services, lending, banking, fintech, or another regulated environment involving sensitive data and audit expectations.
• Consulting or client-facing delivery experience with tight timelines and contractual acceptance criteria.
• Airflow, Dagster, CDC/ingestion tooling, streaming, or near-real-time data experience.
• Exposure to data catalogs, lineage tooling, Tableau, Sigma, semantic or BI layers, and ML/AI data needs such as feature pipelines, training datasets, or retrieval foundations.
• SnowPro or dbt certifications.

Culture & Benefits

• Fast-paced environment requiring self-direction, internal motivation, and ownership.
• Medical, dental, vision, disability, life, accident, hospitalization, flexible spending, and lifestyle spending benefits.
• Paid maternity and parental leave, paid time off, and sick time.
• 401(k) plan with a 25% company match on contributions up to 6% of annual salary.
• Tuition reimbursement of up to $5,000 annually, conferences, career development events, and travel reimbursement for work-related travel.
• Commuter benefits and discounts through LifeBalance and Plum Benefits.

Hiring process

• Complete the application through an official hirify.global location-specific employment portal before the hiring process is completed.
• hirify.global does not request payment or sensitive financial information during the initial application or interview process.