Clarkston Consulting

Senior Data Engineer

Job description

Do you want the opportunity to leverage your skills to make a direct impact on the world’s leading life sciences, consumer products, and retail companies? Join Clarkston Consulting as a Senior Data Engineer to help deliver creative business solutions to our market-leading clients as a part of our team of experienced professionals.
We are looking for motivated, self-driven leaders who are energized by team results and interested in joining a firm that values its culture and people as its biggest strengths. Together, we can help find the answers to our clients most challenging business problems.
What You’ll Do
Clarkston gives you the opportunity to deliver great solutions, become recognized as an industry expert, and help build a great practice.
The Senior Data Engineer / Lead will help support our client(s) by serving in a lead capacity on client initiatives, mentoring more junior data engineers in Clarkston’s analytics team, assisting in defining client solutions, and support managing the delivery of those solutions.

As a Senior Data Engineer at Clarkston, you will also:
Support our solution architects, software developers, data analysts and data scientists on data and analytics 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
How You’ll Grow
At Clarkston, we feel that we provide the greatest value to our clients through a combination of our industry expertise, business process knowledge, and consulting excellence.
Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:
Have the support and mentorship of your Clarkston colleagues and leaders
Own your career – you'll be able to take charge of your career journey with diverse opportunities to lead and expand your skillset both at the client site and within the firm
Have the opportunity to make a real and positive impact not only the clients you work with, but on the firm as well

What We’re Looking For:
An ideal Senior Data Engineer candidate would have experience:
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 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 big data tools including Spark, Airflow, and Kafka
Experience with Azure or AWS cloud services
Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
Minimum degree requirement: Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative 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
Life and Disability Insurance
Company Equity or Stock Options
Training and Professional Development investments
Visit Careers at Clarkston to learn more about our culture, benefits, and opportunities. We hope you’ll join us!
Travel Statement
Travel is an integral part of this role and is estimated to average 50-75% and may vary based upon client and project needs. While travel is a requirement of the role, due to COVID-19 restrictions, all non-essential travel has been limited and any on-site requests are subject to review.
COVID-19 Vaccination Statement
While Clarkston Consulting has not mandated vaccination at this time, COVID-19 vaccinations are required in order to access Clarkston Consulting facilities and those of many of our clients. With this in mind, all prospective hires will be required to provide their vaccination status.

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