Senior Data Engineer

4 days ago

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EverCommerce

WebsiteLinkedInAll Job Openings

SaaS • Software • Services • SMB

1001 - 5000 employees

Founded 2016

☁️ SaaS

🤝 B2B

🛍️ eCommerce

💰 Private Equity Round on 2019-07

Description

• Build and maintain data lake, data lakehouse architecture, Storage, Compute, Pipelines, Query engine, data quality and governance for the overall Enterprise Data Platform. • Build, maintain, and improve major components of our data infrastructure such as our data loader, data ingestion, ETL tools and connections with downstream destinations. • Work closely with the BI engineering team and support them in establishing analytics and decision support capabilities that enables the business teams to make data-driven decisions driving acquisition growth and customer monetization and retention. • Develop internal web and product tracking strategy and work with internal organizations to ensure proper implementation and execution of that strategy. • Increase the efficiency of old business processes and aid in the development of new business processes to continually improve data collection processes, integrity, and reliability. • Own various special data-focused projects to support planning/forecasting, ongoing operations, and corporate development, as necessary. • Extract and manipulate data from a variety of systems and offline reporting for use reporting, utilizing cloud-based and/or on-premise analytics tools to analyze data, as necessary. • Exercise inquisitive mindset to transform business questions into actionable data exploration exercises, as well as take reported data and shape it into actionable business questions. • Develop an understanding of each operating business's role within the larger EverCommerce organization; maintain an advanced knowledge of their data quality, references (definitions, sources), strengths, and areas of improvement.

Requirements

• Experience with Data lake, AWS Glue, AWS Data Zone, AWS Glue Studio, AWS Athena, Redshift, S3, AWS Data Pipelines, Python, Airflow, Fivetran • Bachelor’s degree in Computer Science, or other related field with a top-tier academic background, or equivalent experience • 7+ years of post-undergraduate relevant work experience in a highly analytical environment; SaaS, payments, and/or technology industry experience preferred • Strong AWS expertise with building datalake, lakehouses • Strong expertise with Python, SQL expertise • Strong expertise with cloud platforms and data tools such as Fivetran, AWS, Redshift, Glue, Athena, Data Zone, S3, Spark • Experience with Databricks, Snowflake etc. • Expertise with data lake technologies such as Apache Iceberg & Glue Catalog • Experience with Unity Catalog, Polaris Catalog • Expertise with data workflow tools such as Airflow, DBT • Experience with other tools and software such as Docker, Ansible, Terraform or similar Infrastructure-as-code • Exceptional written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders. • Proven leadership abilities, with experience in mentoring and team management. • Extreme attention to detail with a strong sense of ownership and organization • Low ego, “no-job-too-small” attitude with a willingness to shift from high-level critical thinking to necessary mundane tasks required to complete a job • Ability to protect extremely confidential information

Benefits

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