OverviewWhat you can expect!
The Data Engineer II assists in the implementation of methods to improve data reliability and quality. This role is responsible for combining raw information from different sources to create consistent and machine-readable formats. The Data Engineer II must also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer II will focus on data accessibility, which will enable the organization to utilize data for performance evaluation and optimization. The data Engineer II is also responsible for managing the entire back-end development life cycle for the company's enterprise data warehouse. In this role the incumbent will handle tasks associated with the implementation of ETL procedures, building warehouse databases, database performance management, and dimensional modeling and design of the table structures.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
Additional Benefits
Perks
- Competitive salary.
- Hybrid schedule.
- State of the art fitness center on-site.
- Medical Insurance with Dental and Vision.
- Life, short-term, and long-term disability options
- Career advancement opportunities and professional development.
- Wellness programs that promote a healthy work-life balance.
- Flexible Spending Account – Health Care/Childcare
- CalPERS retirement
- 457(b) option with a contribution match
- Paid life insurance for employees
- Pet care insurance
Key Responsibilities
Design and develop data warehouse Extraction, Transformation and Loading (ETL) solutions using Microsoft SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Az Data Bricks, PySpark ETL.
Develop and implement data collection processes in conjunction with the data warehouse. Source data from legacy systems supporting a centralized data warehouse and reporting platform.
Develop technical solutions to meet the requirements for Data Warehouse, BI & Analytics. Work with Informaticists and Analysts to translate analytic requirements into technical solutions.
Collaborate and contribute to data integration strategies and visions. Create and maintain optimal data pipeline architectures based on micro services based on platform and application requirements.
Work closely with the Data Engineering team, BI & Analytics team, Data Warehouse Architect, and Data Systems Architect to design data and analytics solutions to increase the usability, completeness, and accuracy of enterprise data.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Analyze user requirements and translate user requirements into database requirements and implement them in database code.
Provide detailed analysis of data issues, data mapping, and the process for automation and enhancement of data quality. Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement process improvements: automating manual pipeline processes, optimizing data ingestion and consumption, re-designing infrastructure for greater scalability, micro services, and others as applicable.
Create, maintain, and optimize SQL queries and routines. Analyze potential data quality issues to determine the root cause and create effective solutions.
Develop, adopt, and enforce Data Warehouse and ETL standards and architecture. Monitor and support ETL processes ensuring integrity and proper integration of all data sources.
Facilitate problem management and communication among data architects, managers, informaticists and analysts.
Perform development activities such as source to target mapping validations, identify, document and execute unit test cases/scripts, peer and lead code reviews per code review checklist and document test and review results.
Provide ongoing proactive technical support for ETL and data warehouse system to ensure business continuity.
Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
Qualifications
Education & Requirements
- Four (4) years of relevant work experience. Experience and knowledge in logical, rational, dimensional, and physical data modeling. Background in database systems along with a strong knowledge of SQL. Experience with Orchestration tools, Azure DevOps, and CI/CD. Intermediate experience with the following tools and technologies:
- Azure Data Catalogue / Purview
- Azure Cloud
- Databricks
- Power BI Dataflows
- Power Query
- Azure Cosmos
- Azure Monitor
- PowerShell
- Python
- Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired
- Bachelor's degree from an accredited institution required
- Master’s degree from an accredited institution preferred
- Azure Data Engineering Certification is preferred
Key Qualifications
- Multi-server environment knowledge such as linked servers, data replication, backup/restore with MS SQL Server 2008+
- Knowledge of applicable data privacy practices and laws
- Highly skilled in developing and optimizing T-SQL (DDL, DML, DCL) queries, stored procedures, functions, and views for various applications that involve numerous database tables and complex business logic
- Good written and oral communication skills
- Strong technical documentation skills
- Good interpersonal skills
- Highly self-motivated and directed
- Keen attention to detail
- Proven analytical and problem-solving abilities
- Ability to effectively prioritize and execute tasks in a high-pressure environment
Start your journey towards a thriving future with IEHP and apply TODAY!
Work Model Location
This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday – Thursday onsite in Rancho Cucamonga, CA.)
Pay RangeUSD $104,041.60 - USD $137,841.60 /Yr.
