Senior Data Engineer | Azure Databricks, Synapse, Snowflake, Python, SQL | Contract-to-Hire
About The Position
Our client attracts people who think critically, communicate clearly, and execute with urgency. People who take ownership, solve problems independently, and thrive in environments where impact matters more than hierarchy. They're a boutique tactical asset manager serving the independent broker-dealer and RIA market. As they continue investing in their data platform, they're looking for a Senior Data Engineer to help build the foundation that powers analytics, reporting, operational insights, and future AI initiatives. This is a highly visible role where you'll work directly with business and technology stakeholders to design and implement scalable data solutions that support growth across the organization.
Requirements
- 5+ years of experience in Data Engineering, Data Warehousing, or related disciplines.
- Strong SQL skills and experience developing complex queries, transformations, and data models.
- Professional experience with Python and modern ETL/ELT development.
- Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, or similar Microsoft data technologies.
- Experience building and maintaining cloud-based data lakes, warehouses, or lakehouse environments.
- Strong understanding of dimensional modeling, star schemas, and data warehousing best practices.
- Experience integrating data from APIs, databases, flat files, and third-party platforms.
- Experience working directly with business stakeholders to deliver reporting and analytics solutions.
- Strong communication skills and ability to operate independently in a fast-paced environment.
- Experience in financial services, asset management, wealth management, or other regulated industries.
Nice To Haves
- Experience with Snowflake, dbt, or modern analytics engineering practices.
- Experience supporting Power BI or other business intelligence platforms.
- Experience with Airflow or similar orchestration tools.
- Experience working with Azure cloud services and cloud-based data architecture.
- Familiarity with data governance, security, and regulatory requirements.
- Experience building greenfield data platforms or leading cloud migration initiatives.
Responsibilities
- Design, build, and maintain scalable data pipelines that integrate data from internal systems, third-party platforms, APIs, and external data providers.
- Help design and develop a centralized Azure-based data lake and analytics platform.
- Build and optimize ETL/ELT processes using modern cloud data technologies.
- Develop trusted, business-ready datasets that support reporting, analytics, and operational decision-making.
- Design and maintain dimensional models, data marts, and curated datasets for downstream consumption.
- Partner with business stakeholders to understand reporting and analytics requirements and translate them into scalable data solutions.
- Support Power BI dashboards, operational reporting, and ad hoc analytical needs.
- Implement data quality, monitoring, validation, and governance processes to ensure reliable and accurate data.
- Contribute to data platform architecture decisions, performance optimization, and cloud cost management.
- Document data assets, processes, and technical designs to support long-term maintainability.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
