We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities Include

• Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
• Establish scalable, efficient, automated processes for large-scale data analyses.
• Support the development of performance dashboards & data sets that will generate the right insight.
• Work with business owners and partners to build data sets that answer their specific business questions.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
• Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
• Own the data lake pipelines, maintenance, improvements and schema.

Preferred Qualifications

• BS or MS degree in Computer Science or a related technical field.
• 3+ years of Python / Java development experience.
• 3+ years of experience as a Data Engineer or in a similar role (BI developer).
• 3+ years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
• Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
• Experience working with Airflow - big advantage
• Experience working with Kubernetes – advantage
• Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc – MUST
• Experience working with big data tools: Kafka, Nifi, Spark – advantage
• Exceptional troubleshooting and problem-solving abilities.
• Excellent verbal/written communication & data presentation skills, including experience communicating to both business and technical teams.

Companies like Twitch, Twitter, GoDaddy, and Roblox entrust Tipalti to scale their business rapidly and dramatically reduce finance friction. Headquartered in San Mateo, California, we're a well-funded startup with a multi-billion dollar valuation.

But beyond the technology and impressive growth, Tipalti is fueled by a commitment to our customers. We work hard for our 98% customer retention rate built on trust and reliability. Tipalti means "We handled it," a mission our customers know we deliver consistently.

Around personal growth and wellness, Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where you can thrive and be an impact player! Our culture ensures everyone checks their egos at the door and stands ready to reach success together. We also dedicate ourselves to diversity and equal opportunity for all.

Job Candidate Privacy Notice | Tipalti

www.tipalti.com/privacy/job-candidate-privacy-notice/