Skip to main content

Senior Staff Software Engineer - Python, Databricks, AWS

Senior Staff Software Engineer - Python, Databricks, AWS
Motion Recruitment Partners LLC
remote
7 months ago

We are looking for a Staff Data Engineer

To join one of the 100 Best Companies to Work For, with offices in the Chicagoland area and remote flexibility, on a full-time basis. This leading supplier of maintenance, repair, and operating products for businesses and a wide range of industries across the globe has a focus on sustainability, social responsibility, and community engagement, serving more than 4.5 million customers worldwide.

As a Staff Data Engineer

You will help the team by contributing to ongoing architecture, development, and mentor junior engineers. The ideal candidate will have a strong background in data engineering, with a focus on Databricks, and have experience implementing real-time streaming technologies. Having experience IaC will be an added bonus.

We encourage you to apply for this exciting opportunity and be part of a company that values sustainability, social responsibility, community engagement, innovation, and growth.

Required Skills & Experience

  • As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
  • Design and implement technical solutions and processes to ensure data reliability and accuracy.
  • Develop data models and mappings and build new data assets required by users. Perform exploratory data analysis on existing products and datasets.
  • Educate data engineering teams in adopting new data patterns and tools.
  • Function as SME within this area when engaging with our AI, Platform, and Business Analytics teams to build useful pipelines and data assets.

Desired Skills & Experience

  • Experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads.
  • Experience orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi.
  • Experience prepping structured and unstructured data for data science models.
  • Experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
  • Implemented CI/CD with automated testing in Jenkins, Github Actions, or Gitlab CI/CD.
  • Familiarity with AWS Services not limited to Glue, Athena, Lambda, S3, and DynamoDB.
  • Demonstrated experience implementing data management lifecycle, using data quality functions like standardization, transformation, rationalization, linking, and matching.

The Offer

  • Bonuseligible

You will receive the following benefits:

  • Medical, dental, vision, and life insurance plans.
  • Paid time off (PTO) and 6 company holidays per year.
  • Automatic 6% 401(k) company contribution each pay period.
  • Employee discounts, parental leave, 3:1 match on donations, and tuition reimbursement.
  • A comprehensive set of emotional, financial, physical, and social well-being programs.

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

#LI-EM1

Expertise level

Work arrangement

Similar Jobs in United States

Similar Jobs in Illinois

Similar Jobs in Chicago