Sr. Data Engineer- Analytics

Insight Global
Arden Hills, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 141K

Job location

Arden Hills, United States of America

Tech stack

Data analysis
Big Data
Code Review
Information Systems
Continuous Integration
Information Engineering
Data Integration
Data Transformation
Data Warehousing
Marketing
Metadata
Macros
Sql Optimization
Snowflake
Information Technology
Data Analytics
Operational Systems
Data Pipelines

Job description

Insight Global is seeking an experienced Senior Analytics Data Engineer to design, build, and maintain the trusted data models and pipelines that power marketing analytics and business decision-making. This role sits at the intersection of data engineering, analytics engineering, and marketing analytics. The ideal candidate has deep, hands-on expertise with dbt and Snowflake, extensive experience designing dimensional data models, and a strong understanding of marketing data and measurement. You will partner closely with Marketing stakeholders and peers on Data Engineering team to transform complex source data into reliable, scalable, and well-documented analytical data products.

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related discipline, or equivalent practical experience. -5+ years of experience in data engineering, analytics engineering, business intelligence engineering, or a related field. -Extensive hands-on experience developing and maintaining production dbt projects. -Extensive hands-on experience using Snowflake as an enterprise cloud data warehouse. -Advanced SQL skills, including experience developing and optimizing complex transformations across large datasets. -Strong experience with dimensional data modeling, including fact and dimension design, star schemas, slowly changing dimensions, grain definition, surrogate keys, and conformed dimensions. -Demonstrated experience working with marketing, customer, sales, or digital-engagement data. -Experience building reliable ELT pipelines and transforming data from multiple operational systems. -Strong knowledge of data warehousing, data integration, data quality, metadata, and data-governance principles. -Experience implementing dbt tests, documentation, macros, snapshots, incremental strategies, and reusable modeling patterns. -Proficiency with Git-based development, pull requests, code reviews, and CI/CD practices. -Ability to understand business requirements and translate them into maintainable technical designs.

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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