Senior Data Engineer

United States, Remote. Posted 2 months ago

The role

You will design, build, and deploy data solutions to support Artificial Intelligence, Machine Learning, and business intelligence. You will work with internal teams and customers to guide technical decisions and operationalize complex data solutions.

What you will do

Support new and existing customers in their data engineering needs.
Guide customers to make technical decisions to achieve goals.
Work across multiple customer accounts and report on progress.
Design, build, and operationalize complex data solutions.
Correct problems, apply transformations, and recommend data cleansing and quality solutions.
Analyze sources to determine value and recommend data for analytical processes.
Incorporate data governance, data security, and data quality.
Collaborate across teams to support delivery and educate end users.
Perform data and system analysis, assessment, and resolution for defects and incidents.
Test data movement, transformation code, and data components.

Required qualifications

5+ years of related experience in data engineering and data product development.
Experience in Data Engineering technologies (e.g., Spark, Hadoop, Kafka).
Experience in Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO).
Experience in Data Warehousing (e.g., SQL, OLTP/OLAP/DSS).
Solid understanding of the end to end data analytics workflow.
Demonstrated track record of domain expertise.
Proven problem solving skills including debugging skills.
Strong verbal and written communication skills.
Intermediate leadership skills with a proven track record of self-motivation.
Excellent time management and prioritization skills.
Bachelor’s Degree in STEM related field or equivalent.

Nice to have

Databricks platform - data engineering and/or ML ops experience
Knowledge of public cloud platforms AWS, Azure or GCP
Databricks Certification

Benefits

Health Insurance for employees and eligible family members from the first day of employment.
Minimum of 15 days Paid Time Off annually.
Nine paid company Holidays.
Opportunity to grow technical and people skills.
Performance-based cash incentive awards.

About the company

SunnyData helps customers build scalable architecture, data engineering pipelines, and ML and AI applications. It is a high growth consulting company dedicated to Databricks.