Zion Cloud Solutions
United States
New
Azure Data Engineer (Contract)
- Bicep
- Infrastructure As Code
- Kafka
- Microsoft Purview
AI Summary
Staff Analytics Engineer role establishing technical direction for the organization’s financial data layer. Partner with Accounting and FP&A to support month-end and quarter-end close, build audit-ready pipelines, and maintain source-of-truth financial datasets. Requires accounting/finance exposure, expert SQL and Python, dbt/Airflow pipeline experience, and staff-level technical leadership.
Key Highlights
Fully remote staff analytics engineer role
Supports month-end and quarter-end financial close
Builds audit-ready financial data pipelines and datasets
Requires expert SQL, Python, and dbt/Airflow experience
Salary range $207,485-$244,100 USD plus equity/bonus eligibility
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Key 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.
Technical Skills Required
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Benefits & Perks
Equity
Bonus eligibility
Medical
Dental
Vision
401(k)
Job Description
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
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