Workwave3mo ago

USD 130000–175000/yr

Senior Data Analytics Engineer

United StatesRemoteFull-timesenior

EngineeringData ScienceAnalytics EngineerData & AI

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Quick Summary

Key Responsibilities

Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost,

Requirements Summary

Create models that specifically enhance Analytics and AI/ML projects. We know that great talent comes from many backgrounds. If you are a technical expert who cares about the business "why,

Technical Tools

EngineeringData ScienceAnalytics EngineerData & AI

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy. Beyond just managing tickets or building pipelines, you will take full ownership of the data ecosystem. You will play a pivotal role in supporting our AI/ML initiatives , managing the modern data stack while simultaneously answering critical business questions to ensure data accessibility, reliability, and scalability.

WHAT YOU'LL DO:

Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack to prevent downtime before it impacts stakeholders.

Business-First Data Modeling: Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models that make self-service easy in platforms like PowerBI, Tableau, and Sigma.

Documentation & Governance: Maintain comprehensive documentation of all data engineering processes to enable stakeholder self-service, following the industry’s best practices.

Infrastructure Development: Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows.

Performance Tuning: Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring queries are efficient and scalable.

Data Quality Management: Implement frameworks that ensure data reliability across the organization, ensuring smooth integrations across systems.

Bridge the Gap: Collaborate with cross-functional product, engineering teams, and customers to translate vague business goals into precise technical requirements.

Support AI/ML: Create models that specifically enhance Analytics and AI/ML projects.

We know that great talent comes from many backgrounds. If you are a technical expert who cares about the business "why," we want to hear from you.

The Product-Minded Engineer: You are a Senior Data Engineer who is tired of just "taking tickets." You want to understand the business strategy behind the data and take ownership of the full lifecycle.

The Analytics Architect: You have a background in BI or Analytics but have grown into a "Ninja-level" technical expert in SQL and Python. You build pipelines not just to move data, but to answer questions.

The Startup Builder: You have worked in small teams driving innovative solutions and are comfortable wearing multiple hats—from architecting infrastructure to troubleshooting a dashboard.

5+ years of experience in data engineering roles, including taking ownership of pipelines and optimizing infrastructure.

Technical "Ninja" Skills: Ninja-level proficiency in SQL (specifically CTE optimization) and Python (complex scripting and ML/AI).

Pipeline Architecture: Expertise in architecting data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT.

Business Intuition: Proven ability to apply business intuition, leveraging analytical skills to present complex data insights and actionable recommendations to technical and non-technical stakeholders.

Visualization Proficiency: Experience building visual data analytic business-driven solutions using tools like PowerBI, Sigma, or similar analytic tools.

Masters degree in engineering or analytics

Cloud & Big Data: Familiarity with cloud platforms like AWS and experience with big data technologies such as Snowflake.

Leadership: Proven experience in leading data engineering projects and integrating data from multiple sources.

Small Team Experience: You have worked in small teams driving innovative solutions and thrive in agile environments.

Listing Details

Posted: December 22, 2025
First seen: March 26, 2026
Last seen: April 20, 2026

Posting Health

Days active: 25
Repost count: 0
Trust Level: 51%
Scored at: April 20, 2026

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Workwave

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WorkWave provides cloud-based software and fintech solutions for field service businesses, helping them manage operations, sales, and customer interactions. The company serves industries like pest control, lawn care, and cleaning.

Employees

750

Founded

1984

Domain

workwave.com

Jobs

View 16 jobs

View company profile

Salary

USD 130000–175000

per year