data engineer Santa Ana, CA
Job description
Orange County's Credit Union is now seeking a talented and driven individual to accelerate our efforts and be a major part of our team and culture.
Our team members are grounded in core values, have a strong capacity to learn, the energy to get things done, and bring real world experiences to help us think in new ways. Orange County's Credit Union actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.
Are you passionate about the future? Are you a data engineer who specializes in wrangling a wide range of data into versatile, accessible sources of knowledge? If yes, PLEASE APPLY IMMEDATELY!
More about Orange County's Credit Union:
Workplace Excellence. Through our associates' opinions and voices, Orange County's Credit Union is proud to be recognized year over year as one of the best places to work in Orange County and is a recipient of the Peter Barron Stark Best of the Best Award for highest associate satisfaction in the workplace.
As a leading financial service provider with over 80 years of experience serving 117,000+ members, Orange County's Credit Union is currently over $2 billion in assets & growing. Generous benefits include paid health insurance, time-off benefits, 401(k), and a professional, friendly work environment (with remote and hybrid options) focused on achieving goals, recognizing successes and excelling at member service.
Putting People First: Connect, Discover, Deliver & Wow is Orange County’s Credit Union mantra. If you’re passionate about serving people, this role is rewarding, brings purpose, and the opportunity to make a difference!
Overview:
Are you our next Data Engineer? With your strong understanding of financial services operations (e.g., banking, asset management, insurance, mortgage, consumer & business lending) you will be part of an innovative team that will architect, design and implement data analytics solutions to further advance the organization’s strategic goals. In collaboration with Business and IT partners, you will support our efforts in re-engineering, optimizing and advancing the organization’s data platform with modern cloud-based analytics technologies that will address near-term and future business needs. Be part of our vision to advance data-driven insights and decision making for our mission driven organization.
Essential Functions:
- Collaborate with delivery team and engage with organizational stakeholders (Business and IT) to design, develop and deliver end-to-end enterprise data analytics solutions to enable data-driven insights and decision making.
- Translate business requirements to technical solutions by applying technical knowledge and strong business acumen.
- Solve business problems and complex data requirements/challenges by incorporating standards and best practices into engineering solutions, and leveraging modern data science programming languages (e.g., SQL, Python, R, Scala, SAS) and Azure data and analytics services.
- Develop and implement database designs (logical and physical) and data models (normalized and dimensional) to support the new analytics platform.
- Design, implement and maintain data ingestion/integration and end-to-end data pipeline processes using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc).
Technical Must Haves for this Role:
- 5+ years of experience in Information Technology within a medium to large enterprise with complex business and IT environment.
- 3+ years of experience as a Data Engineer working with cross-functional teams (within IT and/or Business) on enterprise level business intelligence/data analytics implementations using Azure cloud-based analytics platforms/technologies (including hands-on experience with Microsoft/Azure stack, e.g., Synapse, Data Factory, Data Bricks, Data Lake, Data Catalog, SSIS, SQL, etc., and NoSQL databases).
- 3+ years of hands-on experience in designing, implementing and maintaining data ingestion /integration and end-to-end data pipeline using Azure technologies for a wide variety of traditional and non-traditional data sources/formats (structured, unstructured, and semi-structured) through various protocols (e.g., REST, SOAP, SFTP, MQ, etc.).
- 2+ years of experience working with and developing database designs (logical and physical) and data models (normalized and dimensional) for data warehouse, data marts and operational data stores.
- 2+ years of hands-on experience working with data science programming languages (e.g., SQL, Python, R, Scala, SAS).
- Experience working in an agile delivery environment with working knowledge of continuous integration/continuous delivery (CI/CD) and DevOps practices.
The targeted hourly range is $36.55 - $54.83. Final offer will be determined based on experience, education, training/certifications and specialized skills.
We perform thorough background checks and credit checks. EOE.
