Data Engineer Jobs

About The Position

Requirements

• Bachelor’s or foreign equivalent degree in Computer Science, Electronic Engineering, or related field and 6 years of experience working in data engineering
• 6 years of experience in building and deploying large-scale data processing pipelines
• 6 years of experience in identifying performance bottlenecks and optimizing ETL processes
• 6 years of experience in designing and implementing scalable data pipelines
• 6 years of experience in performing programming and scripting in SQL, PL/SQL, and Python
• 6 years of experience in automating using Python
• 6 years of experience in performing ETL and data warehousing using Informatica PowerCenter for ETL processes, as well as Exadata and on-premise data warehouse solutions
• 1 year of experience warehousing cloud data in Snowflake
• 1 year of experience performing data transformation and modeling in dbt (Data Build Tool) and schema design, including star schema
• 1 year of experience developing data pipelines, including ETL/ELT pipeline development, using dBT Labs and ELT tool

Nice To Haves

• Master’s or foreign equivalent degree in Computer Science, Electronic Engineering, or related field and 4 years of experience
• Ph.D. or foreign equivalent degree in Computer Science, Electronic Engineering, or related field and 1 year of experience

Responsibilities

• Design simple and scalable solutions to complex problems
• Deliver leading edge software products for customers
• Serve as a technical leader in a collaborative team environment
• Contribute to the engineering efforts of data scrum teams
• Engineer right-sized solutions for complex business problems focused on building patterns to support data pipelines, data warehousing, and data transformations
• Apply knowledge of modern software design, best practices, design patterns, and frameworks, with an understanding of application performance and maintainability
• Use new technologies and develop innovative solutions
• Perform data analytics, database design and development
• Influence technical solutions while coaching newer or junior members on Scrum team
• Construct and manage services which extract data from disparate databases, transform the data and load into data warehouse
• Collaborate with team members on best practices, code reviews, internal tools and process improvements
• Develop high performing, scalable and secure solutions
• Diagnose, design, and implement solutions to key technology or application problems
• Investigate, evaluate, and present new emerging technologies for use with data solutions and integrations
• Mentor and assist other engineers in area of ownership and expertise
• Design and maintain data pipelines and databases
• Translate business requirements, data mappings into data integrations and ingestions code solutions
• Recommend and code efficient and effective data integration and ingestion solutions for challenging problems
• Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms
• Implement system data integration and ingestion fixes for the data platform and environment
• Ensure root cause resolution to identified problems
• Monitor and support the Data Solutions jobs and processes to meet the daily SLA
• Lead team on Data Integration solutions

Benefits

• Flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations
• Seven paid holidays throughout the calendar year
• Up to 160 hours of paid wellness annually for their own wellness or that of family members
• Additional paid time off in the form of bereavement leave
• Time off to vote
• Jury duty leave
• Volunteer time off
• Military leave
• Parental leave
• Health care insurance (medical, dental, vision)
• Retirement planning (401(k))
• Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)