2026-7925 Data Engineer-Mid (Mid Shift)

Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks Snowflake Spark Python and Azure Data Factory. As a key member of the Strategic Analytics team you will advance our data engineering capabilities helping the team analyze data faster. 

Responsibilities:

• Work closely with predictive modelers to assemble large complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify design and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

Qualifications :

• Advanced working SQL knowledge and experience working with relational databases query authoring
• A successful history of manipulating processing and extracting value from large disconnected datasets
• Experience in Data integrations services (SSIS Azure Data Factory etc.)
• Ideally 3 years of experience in a Data Engineer role or equivalent using SQL and/or Python
• Good organizational skills and attention to detail
• Excellent critical thinking skills to flag complex data challenges
• Experience with cloud technologies and Python is a plus
• Comfortable working in fast paced highly collaborative environment
• Ability to effectively communicate to different target audiences

Additional Information :

• BS in Computer Science Information Technology degree Data Analytics or equivalent.

Remote Work :

Yes

Employment Type :

Full-time