Senior Data Engineer

SUNNY DATA CORPORATION
United States
3 months ago
Apply on indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Data Cleansing Information Engineering Data Governance Data Security Data Systems Data Warehousing Software Debugging Apache Hadoop Systems Analysis Online Analytical Processing
+11 more
Online Transaction Processing SQL Databases Test Data Apache Spark Pandas Core Data Scikit Learn Data Analytics Apache Kafka Machine Learning Operations Databricks

Job description

  • 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 would need to track and report on their progress.
  • You will design, build, and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing /quality 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 for defects and incidents of moderate complexity and correct as appropriate.
  • You will test data movement, transformation code, and data components.

Requirements

Do you have experience in Time management?, Do you have a Bachelor’s degree?, * 5+ 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 immediate systems worked on
  • Proven problem solving skills including debugging skills
  • Strong verbal and written communication skills
  • Leadership - Intermediate leadership skills with a proven track record of 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, * Bachelor’s Degree in STEM related field or equivalent, 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.

Benefits & conditions

Pulled from the full job description

  • Paid time off
  • Paid holidays
  • Opportunities for advancement, * 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

4:21 min

Challenges of traditional mobile data synchronization

Timothy Marland · World Congress 2023

1:14 min

Establishing stable test environments and required test data

Augustin Gottlieb Augustin Gottlieb · World Congress 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · World Congress 2021

Videos

See all

Related articles

See all