Data Engineer

No third party applicants will be considered for this position at this time. 50/hour Hybrid position but local candidate needed Job Overview Motivated, self-starting individual to join our firm as a Senior Data Engineer. This role will report to our Senior Vice President of Engineering and work with a highly skilled team of developers, architects, analysts, and product owners in an agile development environment. Employee Value Proposition Opportunity to advance your career in data analytics Learn and apply agile frameworks supporting FinTech delivery Earn a competitive compensation package with unique benefits Work in a fun and positive environment Responsibilities Implement data transformation pipelines across development, integration, and production environments supporting data quality, labeling, and anonymization of sensitive data Implement elastic scale in cloud-native infrastructure based on service level objectives Implement CI\CD pipelines to provision cloud-native infrastructure, data quality, and code quality checks Work with product owners to develop service level indicators and implement the monitoring of service level objectives in cloud-native observability layer Support multiple platforms, reporting solutions and client-specific projects Lead development of data visualizations that answer critical business questions and solve for internal and external reporting needs. Create and adapt business requirements by communicating with appropriate internal stakeholders, such as Relationship Managers. Requirements A working understanding of data pipelines in Azure, AWS, or GCP Relevant BA/BS degree in Data Analytics, Computer Science, Mathematics, or related field Minimum 2+ years of development experience using SQL, Python, Scala, C#, or similar language Minimum 2+ years of experience using data visualization tools such as Tableau, Power BI, QuickSight or similar Advanced skills in Microsoft Excel Solid mathematical aptitude A self-starter, and a team player with great communication skills. Ability to drive multiple client deliverables to completion in a timely manner Effectively use insights to think creatively about business problems Eagerness and experience learning new software solutions and tools Relevant Certifications DP-203 – Azure Data Engineer Associate DP-900 – Azure Data Fundamentals Nice to haves Experience with Azure Data Factory Work history in the Wealth Management industry is a plus Expected Performance Objectives Build production-quality data products meeting Lead client meetings, effectively translate client requests and concerns into solutions Job Type: Full-time Pay: $40.00 - $50.00 per hour Schedule: Monday to Friday Ability to commute/relocate: Clearwater, FL 33756: Reliably commute or planning to relocate before starting work (Required) Experience: Python: 2 years (Preferred) SQL: 2 years (Preferred) Scala: 2 years (Preferred) C#: 2 years (Preferred) Tableau: 2 years (Preferred) QuickSight: 2 years (Preferred) Power BI: 2 years (Preferred) Data Pipelines in Azure, AWS, or GCP: 1 year (Preferred) Wealth Management Industry: 1 year (Preferred) Azure Data Factory: 1 year (Preferred) License/Certification: DP-203 – Azure Data Engineer Associate (Preferred) DP-900 – Azure Data Fundamentals (Preferred) Work Location: In person