Senior Data Engineer - Cloud Pipelines & Data Platform

73 Strings SAS; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

73 Strings SAS is seeking a Senior Data Engineer to build and operate pipelines, integrations and a warehouse that underpins valuation and monitoring. You will own production pipelines from source capture through transformation, reconciliation and client delivery, applying metadata-driven components with data contracts and lineage.

The role emphasizes building robust, scalable data platforms on Azure Databricks and Snowflake, with CI/CD, testing and strong data quality controls to support

Qualifications

• 10+ years in data engineering on production systems.
• Snowflake or Databricks as a primary platform, including modelling, performance tuning and cost management.
• Python and SQL for pipeline development and testing.
• Change data capture and event processing, including ordering, replay and schema change.
• Azure, including Databricks, ADLS and private network connectivity.
• GitHub and CI/CD for data workloads, using GitHub Actions or an equivalent system.
• Data quality, reconciliation, monitoring and production incident response.
• Experience building multi-tenant, secure data platforms, including tenant isolation, access control and data protection.

Responsibilities

• Help redefine the platform’s architecture across ingestion, processing and delivery, so it’s stable, secure and fast enough to support advanced use cases for the business.
• Build and operate batch and streaming pipelines from databases, APIs, event streams and semi-structured sources.
• Implement change data capture and incremental load, including ordering, deletes, replay and slowly changing dimensions.
• Build medallion datasets and dimensional models, and deliver them to Snowflake, Microsoft SQL Server and Databricks.
• Apply data contracts, reconciliation and row-level quarantine before publication.
• Own the GitHub workflow and CI/CD, including tests, review, environment promotion and deployment as code.
• Investigate production data failures, and turn requirements from product, valuation and client-facing teams into operable pipelines.

Skills

Python

SQL

CI/CD

Data pipelines

Azure Databricks

Snowflake

Change data capture

Multi-tenant security

Tools

Databricks

Snowflake

Azure

ADLS

Job description

73 Strings SAS is seeking a Senior Data Engineer to build and operate pipelines, integrations and a warehouse that underpins valuation and monitoring. You will own production pipelines from source capture through transformation, reconciliation and client delivery, applying metadata-driven components with data contracts and lineage.

The role emphasizes building robust, scalable data platforms on Azure Databricks and Snowflake, with CI/CD, testing and strong data quality controls to support