Staff Analytics Engineer

This is a Fully Remote Job About Our Client: The organization operates in the financial technology sector, focusing on increasing economic freedom by building innovative financial infrastructure. It addresses challenges in financial data management and reporting by developing accurate, timely, and auditable financial data systems. The team combines data engineering, data science, and business analytics to maintain source-of-truth financial datasets and ensure data completeness, reconciliation, and traceability at scale. About the Opportunity: The STAFF ANALYTICS ENGINEER role is pivotal in establishing the technical direction for the organization’s financial data layer. This position collaborates closely with Accounting, Controllership, and FP&A teams to ensure financial data accuracy and compliance, supporting timely month-end and quarter-end close processes. The engineer designs and maintains reliable financial data architectures and audit-ready pipelines, directly impacting the integrity and efficiency of financial operations. Responsibilities: Partner with Accounting and FP&A to support month-end and quarter-end close through accurate datasets, reconciliations, and reporting. Ensure financial data and pipelines meet audit standards including SOX compliance, lineage, change management, and evidence for auditors. Architect and maintain curated, well-documented source-of-truth financial datasets in Snowflake/Databricks consistent with the general ledger. Build and manage scalable batch and near-real-time data pipelines using Airflow/dbt, including dependency management and runbooks. Define and implement reusable data quality and reconciliation frameworks with agreed-upon financial correctness metrics. Lead data contract development with upstream teams, mentor analytics engineers, and create tools to enhance finance data user efficiency. Requirements: Experience or formal education in accounting or finance, with exposure to month-end close, reconciliations, or financial reporting. Expert proficiency in SQL (advanced functions, aggregations, optimization) and strong Python skills (object-oriented programming, reusable frameworks). Demonstrated experience designing modular, reusable source-of-truth data models (e.g., star/snowflake schemas, SCDs). Proven ability to build and maintain production ETL/ELT pipelines with dbt, Airflow, or similar tools, including testing and monitoring. Experience with modern data warehouses/lakehouses such as Snowflake, Databricks, BigQuery, or Redshift. Staff-level experience leading multi-quarter, cross-team technical projects, setting architectural direction, and mentoring engineers. Pay Range and Compensation Package: Annual base salary range: $207,485—$244,100 USD, excluding equity and bonus. Total compensation may include equity, bonus eligibility, and benefits such as medical, dental, vision, and 401(k). Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.