What are the responsibilities and job description for the Data Engineer position at 8900 LBMC, PC?
OPPORTUNITY
We are seeking an experienced Data Engineer with 2-3 years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.
SCOPE OF WORK
- Design and implement scalable data models and pipelines using modern data engineering practices
- Develop and maintain production-grade analytics solutions within Azure ecosystem
- Build comprehensive dashboards and reports using Power BI to support business stakeholders
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Optimize SQL queries and data processing workflows for performance and reliability
- Support and enhance existing data infrastructure while implementing new analytics capabilities
- Participate in code reviews and maintain high standards for data quality and documentation
- Respond quickly to critical data issues and provide solutions under tight deadlines
IDEAL CANDIDATE PROFILE
Required Qualifications
- 2-3 years of experience in analytics engineering, data engineering, or similar role
- Advanced SQL proficiency with experience in complex query optimization and database design
- Python programming skills for data manipulation, automation, and analytics
- Power BI expertise including dashboard development, DAX, and data visualization best practices
- Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
- Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
- Production environment experience including deployment, monitoring, and maintenance of data systems
- Strong communication skills with ability to explain technical concepts to non-technical stakeholders
- Proven ability to work independently and manage multiple priorities effectively
- Experience working under pressure with quick turnaround requirements
Preferred Qualifications
- Snowflake and/or Databricks experience with modern cloud data platforms
- Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
- Machine Learning experience including model development, deployment, or MLOps practices
- Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
- Knowledge of data governance and compliance frameworks
- Experience with version control (Git) and CI/CD practices
- Advanced Python libraries experience (pandas, scikit-learn, etc.)