**What You’ll Do **

As a Senior Databricks Data Engineer at Clarkston you will:

Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
Serve in a lead capacity on client initiatives
Ensure optimal data delivery architecture is consistent throughout ongoing projects
Be self-directed and comfortable supporting the data needs of multiple teams, systems and products
Be excited by the prospect of building our company’s data engineering capabilities to support our next generation of products and data initiatives
Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
Assist in defining client solutions and support managing their delivery

What We're Looking For:

An ideal Senior Data Engineer candidate would have experience:

Designing, developing, and implementing data engineering solutions using Databricks on cloud platforms
Strong programming skills for data processing and automation in Python
Skilled in developing and maintaining data pipelines and workflows in Databricks using Python
Assembling large, complex data sets that meet functional / non-functional business requirements
Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Leveraging the appropriate infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Working with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

Additional Qualifications:

3+ years of experience in a Databricks Data Engineer role
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A successful history of manipulating, processing, and extracting value from large, disconnected datasets
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
Experience supporting and working with cross-functional teams in a dynamic environment
Experience with Azure or AWS cloud services
Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field

Our benefits include:

Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
401k with company contributions
Paid vacation, personal days, holidays, and sick leave
Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
Life and Disability Insurance
Training and Professional Development investments, Tuition Assistance, and more

Senior Data Engineer – Databricks

Key skills