What are the responsibilities and job description for the Senior Data Engineer - Data Delivery position at GreatAmerica Financial Services?
GreatAmerica Financial Services is a highly successful entrepreneurial company providing equipment financing to businesses across the United States. Our exemplary customer service, our principle-centered business philosophy and our team-based operating approach are key to our success and growth.
We Are Looking to Add a Key Member to Our Data Delivery Team!
The Senior Data Engineer relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert with modern data architectures, data modeling, ETL design, business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates significant business impact. They need to possess exceptional technical expertise in large scale data warehouse and BI systems.
As a Senior Data Engineer, You Will
Major responsibilities of the position are listed below. To perform the job successfully, the individual must be able to execute each essential duty satisfactorily
Education
Sharing rewards is an integral part of our culture. We believe in the value of hard work and reward our employees beyond the paycheck. Our total rewards package is based on eligibility and includes:
Please note, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.
We Are Looking to Add a Key Member to Our Data Delivery Team!
The Senior Data Engineer relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert with modern data architectures, data modeling, ETL design, business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates significant business impact. They need to possess exceptional technical expertise in large scale data warehouse and BI systems.
As a Senior Data Engineer, You Will
Major responsibilities of the position are listed below. To perform the job successfully, the individual must be able to execute each essential duty satisfactorily
- Work with the product owner and data stakeholders to understand the business requirements and implement optimal data solutions
- Development and operation of data pipelines that cleanses, structures, and integrates data sets from source systems and third-party data structures into a consumable and accessible format for analyses and reporting with a mind toward accuracy, scalability and high performance
- Design and implement framework to continuously monitor and troubleshoot data quality and data integrity issues
- Design and provide guidance on building reliable, efficient, scalable, and quality data pipelines with monitoring and alert mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages
- Uses innovative and modern tools, techniques and architectures to automate the most-common and tedious data preparation and integration tasks to minimize manual and error-prone processes and improve productivity
- Assists with renovating the data management infrastructure to drive automation in data integration and management
- Collaborate with information technology resources regarding source system data structures and changes to those structures to ensure consistent business definitions and data quality
- Actively collaborate in an agile team
- Provide technical guidance and thought leadership
Education
- Bachelor’s degree in computer science, information systems or equivalent experience
- 7 years hands-on experience with Data Warehousing design & implementation
- Experience with a cloud-based warehouse (e.g., Snowflake or Azure Synapse Analytics) is a plus
- 7 years hands-on experience supporting high performing ETL processes, including data quality and testing processes
- Experience with Informatica is a strong plus
- 7 years of strong experience with SQL and ability to write efficient code for high volume data processing
- 3 years programming experience with an advanced language (C#, Python, Java, etc.)
- Experience with data integration of third-party systems (e.g., Salesforce, Epicor, MuleSoft, etc.)
- Experience ensuring data quality across multiple datasets used for analytical purposes
- Experience in agile development methodologies
- Exposure and experience with a diverse set of modern data architectures is a plus
- Excellent communication (oral and written) and interpersonal skills with a keen sense of customer service.
- Enthusiastic attention to detail
- Knowledge of statistical concepts and their application in reporting and data mart applications
- Ability to acquire new skills quickly, and thrive in a collaborative team environment
- Must be able to establish and maintain professional working relationships with all levels of GreatAmerica personnel and external contacts
Sharing rewards is an integral part of our culture. We believe in the value of hard work and reward our employees beyond the paycheck. Our total rewards package is based on eligibility and includes:
- Competitive Compensation
- Monthly Bonuses for Eligible Employees
- 401(k) and Company Match
- Annual Profit Sharing
- Paid Time Off
- Paid Vacation - starting at 80 hours annually for employees in their first year of service.
- Paid Sick Days - Ten (10) per year with a conversion option for unused time.
- Ten (10) Paid Holidays per year
- Gym Reimbursement
- Health Insurance
- Dental Insurance
- Vision Insurance
- Short-Term and Long Term Disability
- Company Paid Life Insurance
- Flexible Spending Accounts (FSA)
- Health Savings Accounts (HSA)
- Employee Assistance Program
- Parental Leave
- Tuition Assistance
- Networking Opportunities
- Leadership Development Opportunities
- Paid Parking
- Service Awards
- Hybrid work arrangements
- Business casual environment
- A strong organizational culture focused on our greatest asset: you!
Please note, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.