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Data Engineer II
- Tampa, Florida, United States
- Tampa, Florida, United States
Über
The Data Engineer II is expected to adhere to all data services development standards and actively contribute to team efforts by collaborating effectively with team members, project leads, managers, product owners and other stakeholders. The individual should be capable of independently managing tasks, accurately estimating work, juggling multiple priorities and consistently delivering high-quality solutions with minimal supervision. The role also includes mentoring peers, offering hands‑on support, and contributing to issue resolution and escalations within their domain expertise.
Essential Functions
Participate in requirements gathering sessions with internal teams and clients
Develop technical specifications, designs and estimates for project deliverables
Conduct unit testing and validate deliverables for quality and performance
Create and maintain comprehensive documentation for all solutions
Participate in design and code reviews to ensure quality and adherence to standards
Deliver efficient, high-quality solutions aligned with technical and business requirements
Collaborate closely with project teams and management to ensure successful project execution
Provide training and overviews to team members and clients as needed
Support and troubleshoot custom-built solutions, and adhere to all company policies, procedures and development standards
Deliver internal and client-specific projects within agreed timelines and budgets
Meet annual utilization and performance targets
Thrive in a fast‑paced, team‑oriented work environment
Qualifications
Strong command of SQL and relational database concepts
Experience with ETL/data integration tools (e.g., SSIS or modern equivalents)
Experience with Microsoft Azure SQL (Azure SQL Database or Managed Instance)
Familiarity with Microsoft Fabric, including Lakehouse, Data Warehouse and Direct Lake concepts
Hands‑on experience with Power BI, including report development, semantic models and visualization best practices
Experience working with notebook-based data engineering (Microsoft Fabric, Databricks or similar) using Python, Spark SQL or PySpark
Understanding of modern data architecture patterns, including medallion architecture (Bronze/Silver/Gold), ELT processing and layered data modeling
Understanding of DAX, MDX and tabular data modeling concepts
Strong verbal and written communication skills
Ability to work collaboratively in a high‑performing team environment
Commitment to quality, ownership and continuous improvement
Ability to balance multiple priorities and deliver consistent results
Team Support/Leadership
Promote, support and embody BST’s Company mission, strategy and values
Foster a culture of ownership and pride for delivering the highest levels of quality and excellence
Education or Prior Work Experience
Bachelor’s degree in computer science (or relevant subject), with 1 year of experience or internship; hands‑on experience may be considered.
3+ years of working experience in a data‑related development field or technology consulting
Reports To Data Services Manager
Number Supervised 0
Travel Minimal to no travel required, but travel as needed
Classification Exempt
Work Environment & Physical Demands This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
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Sprachkenntnisse
- English
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