Data Engineer

Data Engineer

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.

In this role, you will be responsible for:

• 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.

About you:

• 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 Spark – advantage
• Exceptional troubleshooting and problem-solving abilities.
• Excellent verbal/written communication & data presentation skills, including experience communicating to both business and technical teams.

 

Why join Tipalti?

Tipalti is one of the world’s fastest-growing fintech companies. We free finance professionals to lead by modernizing the entire payables operation. We are a well-funded, late-stage start-up backed by high-profile investors. Our 2021 Series F funding round raised $270 million, valuing us at over $8.3 billion. With total funding of just over $550 million, and with more than 3000 global customers, Tipalti is one of the most valuable private fintech companies in the world.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

 

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

 

 

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