Data Engineer

Posted Yesterday
Hiring Remotely in United States
Remote
Mid level
Information Technology • Software • Analytics
The Role
Build, operationalize, and design complex data solutions for multiple customer accounts. Responsibilities include data transformation, cleansing, governance, security, quality, source analysis, testing data movement and transformation code, troubleshooting defects and incidents, and educating end users. The role also requires guiding customers on technical decisions, collaborating across teams, and supporting data products and analytical environments.
Summary Generated by Built In

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.

Skills Required

  • 3+ years of related experience in data engineering and data product development
  • Experience with one or more data engineering technologies such as Spark, Hadoop, or Kafka
  • Experience with data science and machine learning technologies such as pandas, scikit-learn, or HPO
  • Experience with data warehousing technologies such as SQL, OLTP, OLAP, or DSS
  • Solid understanding of the end-to-end data analytics workflow
  • Domain expertise and in-depth knowledge of relevant technical systems
  • Proven problem-solving and debugging skills
  • Strong verbal and written communication skills
  • Ability to work autonomously and self-motivate
  • Excellent time management and prioritization skills
  • Bachelor's degree in a STEM-related field or equivalent
  • Experience with Databricks data engineering or ML Ops
  • Knowledge of AWS, Azure, or GCP
  • Databricks certification
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The Company
HQ: Minneapolis, Minnesota
103 Employees

What We Do

SunnyData is a Databricks-centered partner with deep Data Engineering roots, exclusively focused on migrating, modernizing and scaling data solutions on the Databricks platform. We bridge the gap between concept and real-world impact, recognizing that a solid Data Engineering foundation is essential for successful AI, ML, Data Science, and Analytics projects. Our expertise ensures that advanced technologies are implemented effectively, turning lab-driven innovation into tangible business outcomes and measurable ROI. Founded by data architects and engineers with a proven track record, our leadership team includes early adopters of Spark and leaders in Apache big data projects. With over 20 years of experience across Cloudera, Informatica, and phData, our team features a Databricks MVP, enabling us to solve the most complex data challenges. What We Specialize In: + Data Engineering + Data Migrations to Databricks + GenAI & Data Science + Data & AI Governance with Unity Catalog * Our deep industry expertise in Financial Services, Healthcare & Life Sciences, and Retail enables us to deliver highly contextualized solutions for regulated and data-driven sectors. We operate and deliver from both the USA and Uruguay. We chose Uruguay for its strategic location (within 3 hours of all U.S. timezones), top-tier data talent (#1 exporter in LATAM), and innovative culture, providing the fastest internet in LATAM and offering universal and free quality education.

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