Company Name: Varsity Brands

Job Details: Hiring,Remotely,in,US,Remote,110K-130K,Annually,Mid,level

Job Url: https://builtin.com/job/senior-data-engineer-snowflake/6844239

Job Description: JOIN THE BEST TEAM IN SPORT & SPIRITAt Varsity Brands, we believe every student deserves the opportunity to succeed and every educator wants to make a difference. It takes a team to make a real impact, and through our two divisions – BSN SPORTS and Varsity Spirit – and our network of 6,000+ employees and independent representatives, we are proud to partner with a wide range of educational institutions and club and professional sports to transform the student journey in SPORT and SPIRIT.WORK TYPE: Remote - United States onlyWORK HOURS:  Monday – Friday; 8am-5pm CSTApplicants must be authorized to work in the U.S. without sponsorship TRAVEL REQUIREMENT: Less than 5%BASE PAY RATE:    $110,000 - $130,000The base salary will vary based on criteria such as education, experience and qualifications of the applicant, location, internal equity, and alignment with the market.  HOW YOU WILL MAKE AN IMPACTThe Senior Data Engineer (Sourcing & Pipeline Management) will play an integral role within the growing Varsity Brands Data Center of Excellence team.The role’s key elements are:Architect + Implement: Design, build and launch efficient and reliable data pipelines to move data from source platforms, including front-end applications, back-end systems, and third-party analytics and data services, to our enterprise data hub.  In addition, design and build pipelines to supply downstream enterprise applications with prepared reference data from our enterprise data hub.Orchestrate + Monitor: Manage data pipelines as an interdependent network, with proactive visibility into pipeline errors as well as costs over time.Partner + Educate: Partner with stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions. Use your data and analytics experience to identify gaps and propose improvements in existing systems and processes, as well as making your source data pipelines easily accessible to data stakeholdersWHAT YOU WILL DO  Working with data modelers and analysts to identify and prioritize data sourcing gaps.Assessing best fit tool for any given data source.Establishing pipeline cadences and timing based on analytics needs and use cases while being cost conscious.Providing downstream data stakeholders visibility to pipeline scheduling and status.Responsively troubleshooting errors or alerts in existing pipelines.Tracking and summarizing current period pipeline costs and trends for business and IT stakeholders.QUALIFICATIONSKNOWLEDGE/ SKILLS/ ABILITIESFamiliarity with modern data stack tools and services employed to replicate data from source systems to cloud data warehouses or lakes particularly using Snowflake  and solid understanding of when and where a given tool is appropriate. Experience utilizing data replication tools and services like HVR, Fivetran, Airbyte, Meltano, & Matillion a MUSTProficiency writing custom code to source data from APIs when needed.Ability to work collaboratively with product or application owners to tease out relevant raw data is available to sourceAbility to identify source system data capture opportunities to unlock analytics capabilities.Strong knowledge in data architecture, data modeling, schema design, and software development principles.EDUCATION/ EXPERIENCE 3+ years of experience in the data engineering/warehousing space, custom ELT/ETL design, implementation, and maintenance.3+ years of experience writing SQL in an analytics or data pipeline context.2+ years of experience in at least one language (Python, Scala, Java, etc) in a data engineering or analytics context.1+ year of experience using an orchestration tool or service to coordinate ELT and downstream analytics pipelines.Experience using REST APIs to acquire and flow data from source to target systems.Experience working with cloud data analytics platforms and tools, particularly Snowflake, dbt, Tableau and Power BI a MUSTExperience standing up data pipelines from SAP ERP is a plus.Experience standing up data pipelines from Google Analytics 4 data is a plus.PHYSICAL REQUIREMENTSThis job operates in a professional office environment. Largely a sedentary role with some filing requiring the ability to lift files, open filing cabinets and bending or standing on a stool as necessary. The ability to sit or stand for long periods through meetings and while operating office equipment, PC’s, laptop, telephone will be required.  #LI-CB1Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job.OUR VALUESService - We lead with heart. We champion community.Passion - We love what we do. It fuels our purpose.Integrity - We do what we promise. We own our actions and decisions.Respect - We earn it by giving it. Because everyone deserves it.Innovation - We never stop striving to be better. For ourselves and our community.Transparency - We are committed to openness and honesty in everything we do.OUR BENEFITSWe are committed to putting you and your families first. For benefits eligible roles, we offer a variety of choices and costs as well as program enhancements that align with our responsibility to elevate the employee experience. Some of our offerings include:Comprehensive Health Care BenefitsHSA Employer Contribution/ FSA OpportunitiesWellbeing Program401(k) plan with company matchingCompany paid Life, AD&D, and Short-Term DisabilityGenerous My Time Off & Paid HolidaysVarsity Brands Ownership ProgramEmployee Resource GroupsSt. Jude Partnership & Volunteer OpportunitiesEmployee Perks including discounts on personal apparel and equipment!Varsity Brands companies are equal opportunity employers. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, gender, sexual orientation, gender identity, veteran’s status, age or disability.