starcompliance - Data & Analytics Engineer
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Requirements
• Experience with SnowSQL and advanced Snowflake capabilities • Experience deploying data products or analytics solutions to external customers • Experience within the financial services industry • Knowledge of data governance, data quality, observability, and data security principles • Experience with tools such as Mend and SonarQube • Azure, Snowflake, ThoughtSpot, or Power BI certifications • Experience working with embedded analytics products and customer-facing reporting platforms • StarCompliance Background Checks • All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.
Responsibilities
• Design, build, and maintain scalable, efficient, and fault-tolerant data pipelines and products using Azure and Snowflake technologies • Design and maintain dimensional data models and semantic layers for downstream analytics and reporting • Develop and maintain embedded analytics dashboards and reporting solutions using ThoughtSpot and related BI technologies • Write efficient, performant, and optimized SQL queries to support analytics and operational reporting requirements • Collaborate closely with stakeholders, customers, engineers, and product teams to gather requirements and translate them into data solutions and dashboards • Ensure data platforms, dashboards, and reporting solutions are secure, monitored, scalable, and performant • Investigate and resolve data quality, pipeline, and reporting issues across the analytics platform • Contribute to code reviews, engineering best practices, and continual improvements across the data platform • Contribute to data governance, observability, and quality initiatives • Run technical spikes and proof-of-concepts for emerging technologies and share findings with the wider team • Support CI/CD processes, deployment pipelines, and Git-based development workflows • Participate actively in Agile ceremonies, backlog refinement, estimations, and technical debt management • Act as a bridge between technical teams and business stakeholders, clearly communicating technical concepts to non-technical audiences • ## Mandatory Skills, Knowledge or Experience • Experience in data engineering and/or analytics engineering within fast-paced, large-scale production environments • Strong proficiency in SQL, including performant query design and relational database concepts • Experience designing data models using dimensional modelling techniques and star schemas • Experience building and maintaining production data pipelines and cloud-based data platforms • Experience with Snowflake and Microsoft Azure technologies • Proven experience developing dashboards and reports using ThoughtSpot, Power BI, or similar BI platforms • Familiarity with ETL/ELT processes, data warehousing concepts, and modern data architecture patterns • Experience with CI/CD processes, Azure DevOps, Git, and deployment pipelines • Experience with scripting or programming languages such as Python, PowerShell, or C# • Familiarity with harnessing AI-assisted tooling to deliver faster, higher-quality data services (e.g. Cursor, Claude) • Strong communication, collaboration, and problem-solving skills • Comfortable working within Agile development environments
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