Data Engineer

SunnyData; United States; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health Insurance for you and family

Paid Time Off 15 days + 9 holidays

Growth in Databricks skills

Job summary

SunnyData is seeking a data engineering professional to support customers with data solutions. You will guide clients, analyze data sources, and design end-to-end pipelines while collaborating with cross-functional teams. This role emphasizes governance, security, and data quality across multiple accounts.

A strong background in data engineering tech and cloud platforms is preferred. Join a team delivering cutting-edge data products and analytics environments, with opportunities to grow

Qualifications

• 3+ years of data engineering and data product development experience.
• Bachelor’s Degree in STEM related field or equivalent.
• Knowledge of public cloud platforms AWS, Azure, or GCP would be a plus.

Responsibilities

• Support new and existing customers in their data engineering needs.
• Guide customers to make the best technical decisions.
• Track and report progress across multiple customer accounts.
• Build and operationalize complex data solutions including data cleansing/quality.
• Design data solutions and analyze sources for value.
• Incorporate data governance, data security, and data quality.
• Collaborate across teams to educate end users on data products and analytics environments.
• Perform data and system analysis and resolve defects of moderate complexity.
• Test data movement, transformation code, and data components.

Skills

Spark

Hadoop

Kafka

Databricks

Pandas

scikit-learn

SQL

Data Warehousing

AWS

Azure

GCP

Education

Bachelor’s Degree in STEM related field or equivalent

Tools

Databricks Platform

Databricks Certification

Job description

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.