Data Engineer
- Role
- Data Engineering
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Support new and existing customers in their data engineering needs, guide them to make the best technical decisions, and build and operationalize complex data solutions. Analyze sources, design data solutions, and incorporate data management competencies like governance, security, and quality. Collaborate across teams, resolve defects, and test data movement and transformation code.
Core skills
Required skills
Optional skills
The Impact You Will Have
- You will be part of a team responsible for supporting new and existing customers in their data engineering needs.
- You will guide customers to make the best technical decisions to achieve their goals
- You will actively work across multiple customer accounts, which you will need to track and report on their progress.
- You will build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
- You will design data solutions.
- You will analyze sources to determine value and recommend data to include in analytical processes.
- You will incorporate core data management competencies, including data governance, data security, and data quality.
- You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
- You will perform data and system analysis, assessment, and resolution of defects and incidents of moderate complexity, correcting as appropriate.
- You will test data movement, transformation code, and data components.
What We Look For
- 3+ years of related experience in data engineering and data product development.
- Experience in one or more of the following:
- Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
- Databricks platform - data engineering and/or ML ops experience would be a huge bonus
- Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
- Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
- Solid understanding of the end to end data analytics workflow
- Demonstrated track record of domain expertise, including the ability to understand technical concepts and possess in-depth knowledge of the immediate systems worked on
- Proven problem-solving skills, including debugging skills
- Strong verbal and written communication skills
- Ability to work autonomously and self-motivation in identifying personal growth opportunities
- Excellent time management and prioritization skills.
- Knowledge of public cloud platforms AWS, Azure, or GCP would be a plus
- Nice to have: Databricks Certification
Education
- Bachelor’s Degree in STEM related field or equivalent
Benefits
- Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
- Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.
- An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Our Commitment to Diversity and Inclusion:
SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.
Why Join SunnyData?
- Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
- Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.
What you'll do
- Support new and existing customers in their data engineering needs.
- Guide customers to make the best technical decisions to achieve their goals.
- Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
- Analyze sources to determine value and recommend data to include in analytical processes.
- Incorporate core data management competencies, including data governance, data security, and data quality.
What they require
- 3+ years of related experience in data engineering and data product development.
- Experience in one or more of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO), Data Warehousing (e.g., SQL, OLTP/OLAP/DSS).
- Solid understanding of the end to end data analytics workflow.
- Demonstrated track record of domain expertise, including the ability to understand technical concepts and possess in-depth knowledge of the immediate systems worked on.
- Proven problem-solving skills, including debugging skills.
Benefits
- Health Insurance: Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
- Paid Time Off: Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.
- An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge.
- Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.
SunnyData is a leading DataBricks technology partner whose mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications.