Consumer Banking • Consumer Lending • Business Services • Financial Education and Literacy • Auto Loans
Yesterday
🇺🇸 United States – Remote
🌵 Arizona – Remote
🥔 Idaho – Remote
+3 more states
💵 $138.8k - $258.5k / year
⏰ Full Time
🔴 Lead
🚰 Data Engineer
🦅 H1B Visa Sponsor
Consumer Banking • Consumer Lending • Business Services • Financial Education and Literacy • Auto Loans
• Lead data teams in implementing enterprise data strategies. • Leverage expertise in complex data management technologies. • Enable machine learning (ML) and artificial intelligence (AI) solutions. • Ensure data quality through governance and maintain data integrity. • Optimize data processes and partner with cybersecurity and architecture teams. • Design robust data pipelines and ensure data protection. • Present future-state roadmaps to technical leadership. • Foster collaboration with data architects and security teams to implement enterprise-class data workflows.
• Minimum Bachelor’s degree in computer science or business discipline, or equivalent work or education-related experience. • Minimum 10 years of progressive experience in data engineering. • Minimum 6 years of experience in coding languages like Python, Scala, Java, SQL. • Knowledge of cloud technologies (platforms like Azure, AWS, GCP). • Knowledge of one or more modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). • Experience in distributed parallel processing. • Advanced experience using SQL, data modeling, large datasets, data warehousing, data analysis, analytics engines. • Knowledge of cloud-hosted SQL-based datastores and NoSQL systems. • Knowledge of the Software Development Life Cycle (SDLC) and Agile methodologies. • Experience with Continuous Integration and Continuous Delivery systems and tools such as Azure DevOps, GitHub. • Experience managing source control models and organization development practices. • Experience in git, performing code reviews, pull requests, and following branching standards such as Git Flow or Trunk-Based Development. • Experience in delivering highly scalable data solutions using programming languages compatible with current technical environments. • Implementation experience with cloud technologies (platforms like Azure, AWS, GCP). • Implementation experience of two or more of Modern data platforms (AWS/Azure Synapse/Redshift/Snowflake, Databricks, Redshift, Big Query)
• Employees and their eligible family members have access to a wide array of employee benefits, such as medical, dental, vision and life insurance coverage. • Employees have access to disability and AD&D insurance. • We also offer health care and dependent care flexible spending accounts, as well as health savings accounts, to eligible employees. • Employees are able to enroll in our company’s 401k plan and employer-funded retirement plan. • Newly hired employees accrue 6.16 hours of paid time off (PTO) on a per pay period basis based on hours worked (up to a maximum of 160 PTO hours per year) and receive ten paid holidays throughout the calendar year.
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