Senior Data Engineer (Remote, US)

Senior Data Engineer

At EverCommerce [Nasdaq: EVCM], we are on a mission to digitally transform the service economy with tailored, end-to-end SaaS solutions to simplify and empower the lives of our 695,000+ customers.  As a leading service commerce platform, our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals in the areas of Home & Field Services, Health Services, and Fitness & Wellness industries.

We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: https://careers.evercommerce.com/us/en

Evercommerce is looking for an ambitious Senior Data Engineer.  As a member of the Evercommerce Data Team, you’ll focus on driving operational awareness to our Executive Team while partnering with leaders throughout EverCommerce to fundamentally improve how we run our business. With a combination of insatiable curiosity, and an exceptional entrepreneurial “get stuff done” mindset, you’ll help us better understand our customers and drive important changes that will shape the future of EverCommerce.

Most importantly, we will look to the Senior Data Engineer to provide thought leadership and have large influence in the direction on how we architect and grow our data infrastructure and capabilities for the future. This will be a complete technical and hands down position to lead and build the EverCommerce Enterprise Data Platform

Where:
The EverCommerce team is distributed across North America, with more than 40 office locations in the U.S. and Canada. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States or Canada; if you're near one of our offices and want to work in-office, we can set that up, or this role can be 100% remote. You must be eligible to work in the United States or Canada in order to qualify for this role.

Responsibilities:

• 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:

• No need to apply if you do not possess experience with all of these following skills: Data lake, AWS Glue, AWS Data Zone, AWS Glue Studio, AWS Athena, Redshift, S3, AWS Data Pipelines, Phython, 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 and Perks:

• 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

Compensation:

The target base compensation for this position is $125,000 - $145,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.