Sr. Data Engineer

• Act as an expert in the areas of data engineering, architecture, advanced analytics, or data science 
• Create data interfaces and scripts to load the enterprise data warehouse, data lake, data marts and other analytics environments to support enterprise-wide data consumption 
• Build an enterprise data pipeline to improve access to real/near-real-time data across the enterprise 
• Design and develop ETL (Extract, Transform, and Load) jobs within the data warehouse and other data platforms 
• Create templates and engineering patterns to reduce the time-to-deploy new data assets or changes to an existing data model or analytics solution 
• Act as a technical expert on the different data interface solutions (expertise in SQL, Python, Informatica, Azure Data Factory, and SQL Server Integration Services recommended) 
• Assist in optimizing and tuning data interfaces, jobs, and workflows and look for ways to improve efficiencies and effectiveness of existing solutions 
• Partner with key business teams to understand their data needs and assist them in building the appropriate data interfaces to meet their business needs 
• Partner with the security and risk teams to build appropriate security and compliance into the data platforms 
• Partner with the enterprise technology function to ensure effective and efficient operation of all data environments 
• Foster continuous process improvement within the data & insights organization and functions   
• Cultivate strong relationships with all stakeholders of the data & insights team 

About You 

• Bachelor's degree in computer science, engineering or related field of study 

• 3 years IT experience 

• 3 years of experience delivering high-profile projects in a complex enterprise environment 

• 3 years developing and delivering data engineering solutions in data warehousing 

• 3 years developing with data-specific coding languages like SQL 

• 1-3 years developing and optimizing Multi-Parallel Processing databases like Teradata, Azure SQL DW, Big Query, or Snowflake 

• 1-3 years developing and optimizing integration tools like Informatica, Azure Data Factory, or SSIS 

• Proficient in integrating data in diverse technical environments 

• Strong planning and organizational skills 

• Experience in measuring and communicating the value of data platforms and tools 

• Experience in multiple enterprise environments, industries and development methodologies 

Physical Requirements 

• Ability to travel up to ~10% of the time, which may include weekends and evenings, as needed 
• Most work is performed in a temperature-controlled environment 
• Incumbent may sit for long periods of time at a desk or computer terminal 
• Incumbent may use calculators, keyboards, telephone and other office equipment in the course of a normal workday 
• Stooping, bending, twisting and reaching may be required in completion of job duties 

• #LI-LW2

Our Values 

Ability to demonstrate, understand and apply our workplace values. 

Simplicity (operate) – the drive to identify root cause and innovate to remove complexity to deliver the best outcome 

Heart (emotion) – the passion that drives you to get up every day and work hard to strive for excellence 

Performance Excellence (mindset) – clearly defining high expectations, driving ownership of key roles and responsibilities, executing with integrity and emphasis while creating a culture of accountability 

Respect (philosophy) – taking pride in being inclusive and treating everyone who comes through the doors with respect  

Benefits 

• 401K company match up to 4%
• Paid Time Off 
• Medical Insurance options including FSA & HSA
• Vision Insurance
• Dental insurance
• Employee Assistance Programs
• Team Member Referral Program
• Tuition Reimbursement
• Wellbeing Program
• Career development opportunities

 The above statements are intended to describe the general nature of the work performed by the employees assigned to this job. All employees must comply with Company policy and applicable laws. The responsibilities, duties and skills required of personnel so classified may vary within each department and /or location.