About the role

  • Senior Data Engineer delivering creative solutions for market-leading clients in life sciences and retail. Supporting teams with data initiatives and mentoring engineering teams for project success.

Responsibilities

  • **What You’ll Do**
  • As a Data Engineer Senior Consultant 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
  • **How You’ll Grow**
  • Beyond your day-to-day responsibilities, throughout your career at Clarkston you will:
  • Have the support and mentorship of your Clarkston colleagues and leaders
  • Expand your existing skill set with internal and external professional development opportunities

Requirements

  • *What We’re Looking For:*
  • An ideal Data Engineer Senior Consultant candidate will 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:
  • Hands-on experience designing, developing, and optimizing data solutions using Microsoft Fabric
  • 5+ 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
  • Knowledge of build processes that support data transformation, data structures, metadata, dependency, and workload management
  • 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
  • Skilled in project management, including managing project plans, timelines, and deliverables
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Demonstrated ability with big data tools including Databricks, Spark, Snowflake, Airflow, and Kafka
  • Expertise 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

Benefits

  • *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

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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