Senior Data Engineer

February 13

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EverCommerce

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EverCommerce is the leading service commerce platform, providing vertically-tailored, integrated SaaS solutions to over 500,000 global service-based businesses. Established in 2016, EverCommerce offers software solutions that help businesses market their services, streamline day-to-day operations, and enhance customer engagement. The company specializes in powering the service economy with digital transformation across multiple industries, including Home & Field Services, Health Services, and Fitness & Wellness. EverCommerce's technology aims to accelerate growth, improve operations, and increase retention for small and medium-sized businesses, transforming the way they interact with customers through modern digital and mobile applications.

SaaS • Software • Services • SMB

1001 - 5000 employees

Founded 2016

☁️ SaaS

🤝 B2B

🛍️ eCommerce

💰 Private Equity Round on 2019-07

📋 Description

• Focus on designing, implementing, maintaining, and enhancing our data warehouse and data pipelines • Leads and participates in the design, build and management of data infrastructure for optimal extraction, transformation, and loading from a wide variety of data sources • Create, maintain and evolve Big Data AI/machine learning solutions • Ensuring data accessibility at all times while implementing company data policies with respect to data privacy and confidentiality • Cleaning and wrangling data from primary and secondary sources • Collaborating with engineering teams, data scientists, and other stakeholders to understand how data can be leveraged to meet business needs

🎯 Requirements

• 7+ years of relevant work experience in Data Engineering/ETL Development • 7+ years of SQL experience working with large datasets • 7+ years experience with programming languages like Python, R, Go, and JavaScript • 5+ years experience with data transformation/wrangling tools such as dbt core, Benthos or similar • 5+ years leveraging Cloud Technologies (AWS preferred) for data pipelines, analysis and consumption • 3+ years experience working with columnar data stores such as Amazon Redshift, Snowflake, Google BigQuery • Strong background in software engineering, algorithms, and application development • Extensive knowledge/experience of database design, data models, techniques for data mining, and segmentation • Good understanding of data migration and integration techniques (Big-Bang, trickle, lift and shift) and the tools required to perform them • Experience working with data ingestion tools like Fivetran, AWS DMS, Apache Kafka, Apache Spark • Experience working with distributed processing of large datasets • Propensity to overcome challenges and solve “hard” problems • Internal drive for continuous improvement (knowledge, standards, best practices) • Strong communication skills with the ability to adjust communication to fit the audience • Relentless desire to deliver, say what you’ll do and do what you say

🏖️ Benefits

• Flexibility to work where/how you want – in-office, remote, or hybrid • Robust health and wellness benefits • 401k with up to a 4% company match • Flexible and generous paid time off (FTO) • Employee Stock Purchase Program