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Truly Free Home · 1 day ago

Data Engineer

United States

Full-time

Remote

Mid, Senior Level

$120K/yr - $155K/yr

4+ years exp

Truly Free is seeking a Data Engineer to join their team, reporting to the Chief Data & Analytics Officer. The role involves designing and maintaining data pipelines, ensuring data quality and availability, and enabling analytics and data science functions.

Consumer GoodsLaundry and Dry-cleaningPackaging Services

Responsibilities

Own the design, development, and ongoing operation of ETL and ELT pipelines ingesting data from marketing platforms, ecommerce systems, finance tools, and internal applications. This includes both managing existing vendor-supported pipelines and designing and building new pipelines when required

Evaluate data ingestion and transformation approaches, including third-party tools and custom-built solutions, selecting the appropriate method based on reliability, scalability, and business needs

Build, maintain, and version control all dbt transformation models that produce analytics-ready datasets for reporting and analysis

Design core business datasets for consistency, reuse, and performance across all BI use cases, including downstream consumption in Looker

Eliminate redundant, ad hoc, or analyst-managed data transformations by centralizing transformation logic within the data platform

Partner with BI Analysts to implement and maintain trusted, well-governed sources of truth for datasets and metrics in alignment with established business definitions and data dictionary standards

Implement automated data quality checks, monitoring, and alerting to ensure data accuracy, completeness, and freshness

Proactively identify and resolve data pipeline failures, schema changes, and upstream data issues before they impact analytics

Establish and maintain service level expectations for data availability and pipeline reliability

Partner with stakeholders to define and maintain a trusted source of truth for datasets and metrics

Ensure that analysts and Data Scientists have consistent, timely access to analytics-ready data without the need for manual preparation

Support the operationalization and refresh of analytics and data science models by ensuring stable inputs, schemas, and dependencies

Enable consistent consumption of model outputs across BI tools and downstream reporting use cases

Optimize warehouse performance and costs to support fast, scalable analytics

Define and enforce standards for data modeling, transformations, naming conventions, and pipeline development

Document data models, pipelines, and transformation logic to support transparency and self-service analytics

Manage access controls and permissions within the data warehouse in alignment with governance and security requirements

Work as a core member of the Business Intelligence team alongside BI Analysts and Data Scientists

Partner with the Chief Data and Analytics Officer on data platform roadmap planning and technical decision-making

Continuously improve pipeline performance, maintainability, and scalability as the business grows

Qualification

ETLELT pipelinesDbtPythonSQLCloud data warehousesData quality checksData modelingAnalytical mindsetCollaborationDocumentation

Required

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related technical field, or equivalent practical experience

4+ years of professional experience in a Data Engineer, Analytics Engineer, or similar role supporting analytics and business intelligence

Experience using dbt or equivalent data transformation tools to build, test, document, and maintain centralized, production-grade data transformation models

Experience integrating data from marketing platforms, ecommerce systems, and finance tools

Proficiency in Python for data pipeline development, automation, or orchestration in a production analytics environment

Proven experience owning end-to-end ETL and ELT pipelines in a production analytics environment

Strong experience working with cloud data warehouses, with BigQuery preferred

Advanced SQL skills, including the ability to design and optimize queries for analytics and reporting use cases

Experience supporting analytics and data science workflows by delivering analytics-ready datasets

Experience implementing data quality checks, monitoring, and pipeline reliability practices in support of strong data governance

Experience collaborating closely with BI Analysts and Data Scientists as part of a shared Business Intelligence team

Strong command of SQL, with the ability to design, optimize, and maintain complex queries and analytical datasets

Demonstrated proficiency with dbt, including building, testing, documenting, and maintaining production-grade data transformation models

Strong understanding of data modeling concepts for analytics, including fact and dimension design, metric consistency, and historical data management

Experience working in BigQuery or a comparable cloud data warehouse, with an understanding of performance optimization and cost management

Ability to implement data quality checks, monitoring, and alerting to ensure accuracy, completeness, and freshness of data

Understanding of how analytical datasets are consumed by BI tools and reporting layers, and how data structure impacts usability and performance

Analytical mindset with the ability to reason about data correctness, edge cases, and downstream analytical impact

Ability to translate business and analytical requirements into scalable, maintainable technical solutions

Company

Truly Free Home

Truly Free Home (formerly MyGreenFills.com) pioneered a revolution in the cleaning industry with safe, non-toxic products delivered in refillable & sustainable packaging.

Founded in 2015

Traverse City, Michigan, USA

201-500 employees