2025-7593 Data Engineer - Mid

Company Description

Arch Global Services offers competitive pay and a comprehensive benefits package. Additionally, Arch is committed to helping its associates create what’s next by providing access to a variety of programs supporting your professional development and a culture that encourages innovation, collaboration and professional growth. We seek talent that thinks innovatively, values collaboration and will go the extra mile to serve our customers and develop our company. We also have a little fun along the way, check out our Holiday Party.

Job Description

Shift: 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

Required Skills:

Technical Skills                         Proficiency Level             Required (R) /Optional (O)

SQL                                                                4                                              R

Relational SQL Database                         3                                             R

Data Integration services (SSIS, 

Azure Data Factory, etc)                          2                                              R

Microsoft Excel                                           3                                              R

Python, Scala, C++, Java or similar             2                                              O

Snowflake or other cloud-based 

data warehouse                                           3                                              O

NoSQL database / unstructured data       2                                             O

Azure cloud services                                    1                                              O

Desired Skills:

• 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
• 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