Job Id: 63691
Databricks / Python Engineer
We are looking for a savvy Databricks / Python Engineer to join our growing team of analytics experts. The person will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will develop and support a broad range of software capabilities including building data pipelines, managing the ETL/ELT processes, receiving, and delivering data through various interfaces, and processing significant amounts of data related to railcar movements, railcar liability, and financial calculations. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
This is a 100% remote position.
Databricks / Python Engineer Responsibilities
To perform this job successfully an individual must be able to perform the following essential duties satisfactorily. Other duties may be assigned to address business needs and changing business practices.
Participate as a member of an Agile team developing Data Engineering solutions.
Engage in requirements gathering and technical design discussions to meet business needs.
Design and develop generic, scalable data pipelines in Azure Data factory and Databricks with python for on-prem and cloud data sources.
Assemble large, complex sets of data that meet non-functional and functional business requirements.
Leverage your curiosity for solving unstructured data problems and ability to manipulate and optimize large data sets to advance business problem-solving.
Contribute to documentation, testing and cross-training of other team members.
Work closely with others to assist and resolve production issues.
Databricks / Python Engineer Qualifications
Bachelor's degree in computer science, computer engineering, a related field, or equivalent experience.
5+ years of data engineering or equivalent experience.
5+ years of hands-on experience in developing and deploying data architecture strategies or engineering practices.
5+ years of experience with complex SQL queries and knowledge of database technologies.
Expert-level coding experience with PySpark and Python.
Expert-level technical experience with Apache Spark / Azure Databricks.
Proficient in using and designing solutions on Azure Cloud infrastructure (particularly Azure Data Factory) and Azure DevOps.
Proficient with core business intelligence and data warehousing technology.
Proficient designing and developing data integration solutions using ETL tools such as Azure Data Factory and/or SSIS.
Proficient with software development practices such as Agile, TDD, and CI/CD.
Ability to collaborate and communicate professionally, both verbally and in writing, at all levels of the organization, particularly bridging conversations between data and business stakeholders.
Experience with Snowflake.
Experience with graph databases or graph libraries.
Kafka or other streaming technologies.
Experience in the rail or other commodities driven industry.
Compensation: $75-85/hr. (DOE)
Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.
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