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Remote, Oregon, United States
Remote only
Collaborate within an agile, multi-disciplinary team to develop optimal data integration and transformation solutions
Document and analyze data requirements (functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives
Profile data to assess the accuracy and completeness of data sources and work with business partners to mitigate issues
Build and maintain data pipelines for using appropriate tools and practices in development, test, and production environments. Design with modularity to leverage reuse of code wherever possible
Create data mappings, programs, routines, and SQL to acquire data from legacy, web, cloud, and purchased package environments into the analytics environment
Use a mix of ELT, ETL, data virtualization, and other methods to optimize the balance of minimal data movement against performance
Maintain metadata management processes and documentation
Monitor data quality to detect emerging issues and consult with the team to create transformation rules to cleanse against defined rules and standards
Participate in code reviews and unit testing to optimize performance and minimize issues
Job Specifications
Typically has the following skills or abilities:
Bachelor’s degree in computer science, data science, statistics, economics, or related functional area; or equivalent experience
Effective written and verbal communication skills with the ability to gather requirements and effectively collaborate with teammates and business partners
4+ years’ experience working in a development team providing analytical capabilities
4+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT/data pipeline design
SQL coding experience
Familiarity with agile development environments (Scrum, Kanban) with a focus on Continuous Integration and Delivery
Previous experience using a data integration platform (IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and familiarity with data warehouse MPP platforms such Snowflake, Netezza, Teradata, Redshift, etc.
Familiarity with event store and stream processing (Apache Kafka and platforms like Confluent) and with API development and management platforms (MuleSoft, Axway) is also beneficial
Capable of focusing on a specific set of tasks while also ensuring alignment to a broader strategic design
Exhibits the traits of a proactive, self-driven contributor, who values continual learning and the adoption of new technology
For roles that are remote (i.e., Work From Home (WFM)) or hybrid (i.e., partial onsite at a VSP location and WFM), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment
Preferred Skills
Strong experience with Snowflake (data modeling, performance tuning, optimization) or certification
Hands-on experience with IBM DataStage
Understanding of Data Vault modeling (Raw Vault, Business Vault, Information Marts)
Experience with workflow orchestration tools (e.g., Apache Airflow)
Proficiency with GitHub (version control, CI/CD, code reviews)
Familiarity with DataOps practices
Experience with streaming technologies (e.g., Kafka/Confluent) and APIs (e.g., MuleSoft, Axway)
Exposure to cloud platforms (AWS, Azure, or GCP)
#LI-VISIONCARE
Compensation range for the role is listed below. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please click here.
Salary Ranges: $58,800.00 - $101,850.00VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.
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