Databricks migration and data engineering services for regulated industries
SunnyData is a services firm built around Databricks, Apache Spark, and large-scale data pipeline work. The stack reveals a pure data-engineering focus—Spark, Hadoop, Kafka, SQL, and the Databricks ecosystem dominate, with BI tools (Tableau, Power BI) and ML libraries (scikit-learn, pandas) secondary. Hiring is heavily skewed toward senior data engineers (24 of 32 open roles), and the project list shows the firm is scaling customer delivery across migrations, governance implementation, and analytics modernization. No adopting/replacing signals suggest stability in their core tool choices.
SunnyData is a Databricks-specialized services firm headquartered in Minneapolis with 51–200 employees. The company works with mid-market and enterprise clients in Financial Services, Healthcare, and Retail to design, migrate, and operationalize data platforms on Databricks. Core service lines include data migrations from legacy systems, data engineering foundation work, GenAI and Data Science enablement, and data governance (Unity Catalog). The team operates delivery centers in the United States and Uruguay, and actively hires across the U.S., Latin America, and Asia to staff customer engagements.
Apache Spark, Hadoop, Kafka, Databricks, Python, Scala, SQL, pandas, scikit-learn. Cloud platforms: AWS, Azure, GCP. BI: Tableau, Power BI. Data movement: Fivetran. Project management: Jira, Confluence, Asana.
Yes. Data roles comprise 19 of 32 active openings (59%), with 24 at senior level. Hiring across United States, Uruguay, Argentina, Mexico, and Nepal.
Data migrations to Databricks, data engineering, GenAI and Data Science projects, and data governance with Unity Catalog. Deep expertise in Financial Services, Healthcare, and Retail.
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