Full Stack Data Solutions Engineer
$135,200–$166,400 year
RemoteUnited States
Job Summary
Design, develop, and maintain scalable data models and reporting solutions supporting business intelligence, analytics, and operational initiatives. Develop enterprise reports, including paginated reports and interactive dashboards, while partnering with stakeholders to translate data requirements into technical solutions. Define data governance policies, implement architectural best practices, and ensure seamless integration of data pipelines and warehouses. Troubleshoot data quality issues, manage product enhancement timelines, and maintain comprehensive documentation for all data assets. This contract role requires 4–6 years of experience in data warehousing and SQL proficiency.
Required Qualifications
- 4–6 years of experience in data warehouse modeling, database design, or data architecture
- Experience designing reports and visualizations using industry-standard BI tools such as Power BI or similar business intelligence tools
- Experience with Python and/or Spark scripting
- Strong analytical, problem-solving, and communication skills
- Ability to manage multiple priorities in a fast-paced environment
- Experience with enterprise data warehouse platforms such as Microsoft Fabric, Azure Synapse, or Snowflake
- Strong experience with relational databases (SQL Server, PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Cassandra, DynamoDB)
- Experience integrating and analyzing data from ERP, CRM, and/or work order management systems
- Understanding of data governance frameworks, security principles, and regulatory compliance standards (e.g., GDPR, HIPAA)
- Strong proficiency in SQL and data modeling best practices
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