Data Engineer (Snowflake/DataStage)

Posted Yesterday
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Hiring Remotely in US
Remote
59K-102K Annually
Mid level
Healthtech • Insurance • Retail • Social Impact
The Role
Designs, builds, and maintains scalable ETL/ELT data pipelines and integrations. Profiles and cleanses data, creates mappings and SQL, documents metadata, monitors data quality, participates in code reviews, and collaborates with analytics, DBAs, and business partners to enable accurate analytics and data warehousing.
Summary Generated by Built In
The Data Engineer creates and maintains 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 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 - $101,850.00

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, disability or protected veteran statusWe 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.

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. 

Skills Required

  • Bachelor's degree in computer science, data science, statistics, economics, or equivalent experience
  • Effective written and verbal communication skills for gathering requirements and collaborating with partners
  • 4+ years' experience on a development team providing analytical capabilities
  • 4+ years hands-on experience in data preparation, SQL, integration tools, ETL/ELT, and data pipeline design
  • SQL coding experience
  • Familiarity with agile development (Scrum, Kanban) and Continuous Integration/Delivery
  • Previous experience using a data integration platform (e.g., IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo)
  • Familiarity with data warehouse MPP platforms (e.g., Snowflake, Netezza, Teradata, Redshift)
  • Ability to profile data and monitor data quality, and create transformation rules to cleanse data
  • For remote or hybrid roles, ability to engage in virtual environments and maintain camera presence during meetings
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The Company
13,052 Employees
Year Founded: 1955

What We Do

VSP Vision Care is a not-for-profit organization founded in 1955, providing vision benefits, eye care insurance, eyewear, and lenses, and reinvesting in communities.

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