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Senior Data Engineering Consultant
Clarkston Consulting. Support solution architects, software developers, data analysts, and data scientists on data and analytics initiatives .
Tech Stack
Tools & technologiesAirflowAWSAzureCloudJavaKafkaPythonScalaSparkSQLC++
About the role
Key responsibilities & impact- Support solution architects, software developers, data analysts, and data scientists on data and analytics initiatives
- Lead client initiatives and collaborate with client stakeholders and technical teams to define and deliver data solutions
- Design, develop, and optimize scalable data pipelines and architectures
- Develop and maintain data models and schemas for analytics and reporting
- Translate business requirements into technical data solutions
- Ensure consistent, optimal data delivery architecture throughout projects
- Identify improvements to data processes, scalability, performance, reliability, and automation
- Lead, grow, and mentor data engineering teams
- Assist with client solution definition, work estimation, proposals, and solution delivery
- Contribute to project planning, status communication, and consulting activities
- Travel an estimated 30–50% based on client and project needs
- Work from a home office when not at a client site or traveling
Requirements
What you’ll need- 3+ years of experience in a Data Engineer or related data-focused role
- Experience assembling large, complex data sets meeting functional and non-functional business requirements
- Experience designing and implementing scalable data architectures, pipelines, and data solutions
- Experience with data modeling and schema design, including star and snowflake schemas
- Advanced SQL knowledge and experience with relational databases and query authoring
- Experience building and optimizing big data pipelines, architectures, and data sets
- Experience with root cause analysis on data and processes
- Strong analytical skills with structured and unstructured datasets
- Experience with data transformation, metadata, dependency, and workload management
- Working knowledge of message queuing, stream processing, and scalable big data stores
- Experience with Databricks, Spark, Snowflake, Airflow, and Kafka
- Experience with Azure or AWS cloud services
- Experience with Scala, Python, Java, and/or C++
- Strong written and verbal communication skills
- Demonstrated consulting and client-facing experience
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or equivalent field
- Experience in life sciences, consumer products, and/or retail is preferred
Benefits
Comp & perks- 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
- Interview-process accommodation support