Data Engineer

Description Responsibilities of the Analytics Engineer:• Integration of data from multiple data sources• Assemble large, complex data sets that meet functional / non-functional business requirements.• Hands on development of Tableau dashboards using multiple data sources• Create and maintain optimal data pipeline architecture especially around accounting and financial systems• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.• Conceptualize and design the best fit solution against desired requirements for data delivery• Work with stakeholders including the Managers, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.• Work with data and analytics experts to strive for greater functionality in our data systems.• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.Skills and Experience of the Analytics Engineer:• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.• 2+ years of experience in Business Intelligence and Data Visualization tools and techniques with Tableau• 2+ years of experience in an Analytics Engineer role• Experience with relational SQL databases, including SQL server and Postgres.• Experience with AWS cloud services: EC2, EMR, RDS, Redshift• Experience with Tableau or comparable experience with other BI visualization tool such as QlikView or Domo• Experience with any object-oriented/object function scripting languages: C#, Python, Java, C, Scala, etc.• Preferred experience with big data tools: Hadoop, Spark, Kafka, etc.• Experience building and optimizing 'big data' data pipelines, architectures, and data sets.• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Requirements Snowflake, Tableau, Python, SQL Technology Doesn't Change the World, People Do.®Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.Robert Half puts you in the best position to succeed by advocating on your behalf and promoting you to employers. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - even on the go. Download the Robert Half app and get 1-tap apply, instant notifications for AI-matched jobs, and more.Questions? Call your local office at Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. All applicants applying for U.S. job openings must be authorized to work in the United States. Benefits are available to temporary professionals. Visit https://roberthalf.gobenefits.net/ for more information.© 2022 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.