The Senior Data Engineer designs, builds and optimizes data pipelines for key data and analytics capabilities in the enterprise. This position works in collaboration with analytics and data warehousing staff, DBAs and subject matter experts to create reliable processes that load targeted data with integrity and quality, enabling it for strategic use by the business.
Collaborate within an agile, multi-disciplinary team to deliver optimal data integration and transformation solutions
Analyze data requirements (functional and non-functional) to develop and design robust scalable automated, fault-tolerant data pipeline solutions for business and technology initiatives
Profile data to assess the accuracy and completeness of data sources and provide feedback in data-gathering sessions
Design, build, maintain, and operationalize data pipelines for high volume and complex data using appropriate tools and practices in development, test, and production environments. Design with modularity to leverage reuse of code wherever possible
Develop and design data mappings, programs, routines, and SQL to acquire data from legacy, web, cloud, and purchased package environments into the analytics environment
Understand and apply the appropriate use of ELT, ETL, data virtualization, and other methods to optimize the balance of minimal data movement against performance, and mentor others on their appropriate use
Drive automation of data pipeline preparation and integration tasks to minimize manual and error-prone processes and improve productivity using modern data preparation, integration, and AI-enabled metadata management tools and techniques
Leverage auditing facilities that will enable monitoring of data quality to detect emerging issues. Deploy transformation rules to cleanse against defined rules and standards
Participate in architecture, governance, and design reviews, identifying opportunities and making recommendations
Participate in health check assessments of the existing environment and evaluations of emerging technologies
Collaborate with architects to design and model application data structures, storage, and integration in accordance with enterprise-wide architecture standards across legacy, web, cloud, and purchased package environments
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
Excellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas to all levels of employees and management
6+ years’ experience working in development team providing analytical capabilities
6+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT/data pipeline design
SQL coding experience
Experience working in an agile development environment (Scrum, Kanban) with a focus on Continuous Integration and Delivery
Knowledge about various data architectures, patterns and capabilities such as event-driven architecture, real-time data flows, non-relational repositories, data virtualization, cloud storage, etc.
Knowledge of and experience with multiple data integration platforms (IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and data warehouse MPP platforms such Snowflake, Netezza, Teradata, Redshift, etc.
Familiarity with DataOps practices and their application within analytics environments as well as their ability to extend data and analytics capabilities to other operational systems and consumers
Familiarity with event store and stream processing (Apache Kafka and platforms like Confluent) and with API development and management platforms (MuleSoft, Axway) is beneficial
Capable of focusing on a specific set of tasks while also ensuring alignment to a broader strategic design
Preferred Skills
Experience in Azure, Azure Pipelines, Azure Devops
Excellent understanding of T-SQL programming
Critical thinker and problem-solving skills and analyze data issues
Knowledge of testing and unit testing
Knowledge of medical, insurance, and optical systems/industry
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, equity and commissions. For more information regarding VSP Vision benefits, please click here.
Salary Ranges: $80,000.00 - $135,000.00
VSP 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, gender identity, sexual orientation, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees/Personal Information.
We have been made aware that fake job opportunities are being offered by individuals posing as VSP Vision and affiliate recruiters. Click here to learn about our application process and what to watch for regarding false job opportunities.
As a regular part of doing business, VSP Vision (“VSP”) collects many different types of personal information, including protected health information, about our audiences, including members, doctors, clients, brokers, business partners, and employees. VSP Vision employees will have access to this sensitive personal information and are subject to follow Information Security and Privacy Policies.
