EverCommerce - Senior Data Engineer (Remote, US)

EverCommerce; Denver (CO); Remote; USD 125,000 - 145,000; Full time

Job summary

An innovative firm is seeking a Senior Data Engineer to join their dynamic team remotely. In this role, you'll drive operational awareness and influence data architecture, contributing to the development of a robust Enterprise Data Platform. You'll work on exciting projects involving data lakes and ETL processes, ensuring data integrity and governance across various business units. This position offers the opportunity to collaborate with cross-functional teams and shape data into actionable insights, all while enjoying flexible work arrangements and a focus on professional development. If you're passionate about data and eager to make an impact, this is the perfect opportunity for you.

Benefits

Flexible work arrangements

Professional development investment

Health and wellness benefits

401(k) benefits

Employee Stock Purchase Program

Generous time off policies

Qualifications

• 7+ years in a highly analytical environment, preferably in SaaS or tech.
• Strong AWS expertise and proficiency in Python and SQL.

Responsibilities

• Build and maintain data lake and lakehouse architecture.
• Develop and improve data ingestion and ETL tools.
• Collaborate with BI teams to enable analytics and decision-making.

Skills

AWS Glue

Python

SQL

Data Lake Technologies

Airflow

Fivetran

Data Quality

Data Governance

Education

Bachelor's degree in Computer Science

Tools

AWS Data Zone

Redshift

S3

Spark

Docker

Ansible

Terraform

Job description

Join to apply for the EverCommerce - Senior Data Engineer (Remote, US) role at EverCommerce.

Get AI-powered advice on this job and more exclusive features.

About EverCommerce

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.

Position Overview

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 seeking an ambitious Senior Data Engineer. As a member of the Data Team, you'll focus on driving operational awareness to our Executive Team and partnering with leaders across the company to improve our business operations. You'll provide thought leadership, influence data architecture, and help build the EverCommerce Enterprise Data Platform.

Location

This role is remote within the US or Canada. We are distributed across North America and accustomed to remote collaboration across time zones. Candidates must be eligible to work in the US or Canada.

Responsibilities

• Build and maintain data lake, data lakehouse architecture, storage, compute, pipelines, query engine, data quality, and governance.
• Develop and improve data ingestion, ETL tools, and connections with downstream systems.
• Collaborate with BI teams to enable analytics and decision-making to support business growth and retention.
• Develop internal tracking strategies and ensure proper implementation.
• Enhance data collection processes, integrity, and reliability.
• Lead data-focused projects supporting planning, operations, and corporate development.
• Extract and manipulate data from various systems for reporting and analysis.
• Transform business questions into data exploration exercises and shape data into actionable insights.
• Understand and improve data quality within different business units.

Minimum Requirements

• Experience with data lake technologies, AWS Glue, AWS Data Zone, Athena, Redshift, S3, Python, Airflow, Fivetran.
• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 7+ years in a highly analytical environment, preferably in SaaS, payments, or tech industries.
• Strong AWS expertise, including data lake and lakehouse architecture.
• Proficiency in Python and SQL.
• Experience with cloud data tools like Fivetran, Redshift, Glue, Athena, Data Zone, S3, Spark.
• Knowledge of Databricks, Snowflake, Apache Iceberg, Glue Catalog, Unity Catalog, Polaris Catalog, Airflow, DBT.
• Familiarity with Infrastructure-as-Code tools like Docker, Ansible, Terraform.
• Excellent communication skills and leadership experience.
• Attention to detail, ownership, and organizational skills.
• Willingness to handle both high-level and mundane tasks, and maintain confidentiality.

Benefits & Perks

• Flexible work arrangements: in-office, remote, or hybrid.
• Professional development investment.
• Health, wellness, and 401(k) benefits.
• Employee Stock Purchase Program.
• Generous time off policies.

Compensation

The target base salary is $125,000 - $145,000 USD annually, depending on location, experience, and expertise. Final offers are determined accordingly.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industry: Software Development