Data Engineer

Builder Prime; Remote; USD 125,000 - 145,000; Full time

Job summary

A leading software company in home improvement is seeking an experienced Data Engineer to join their remote team. This role involves designing and maintaining scalable data pipelines and managing data ingestion workflows using Change Data Capture. The ideal candidate will have strong SQL and Python skills, experience with dbt and Snowflake, and a collaborative approach to data solutions. The position offers a competitive salary between $125,000-$145,000 and an opportunity to contribute to a modern data stack.

Benefits

Exceptional Health Coverage

Strong Retirement Match

Generous Time Off

Annual International Retreat

Comprehensive Parental Leave

Flexible Work Arrangements

Professional Development Stipend

Company-provided Equipment

Qualifications

• 3+ years of production data engineering experience.
• 3+ years working with dbt or similar transformation frameworks.
• 3+ years hands-on experience with Snowflake.
• Experience building CDC pipelines and handling real-time data ingestion.
• Proven ability to collaborate on reports and dashboards in BI tools.

Responsibilities

• Design, develop, and maintain scalable data pipelines and transformations.
• Build and optimize complex SQL queries and data models.
• Implement and manage real-time and batch data ingestion workflows using CDC.
• Ensure data quality, consistency, and reconciliation across the pipeline.

Skills

SQL Proficiency

Database Fundamentals

Python

Change Data Capture (CDC)

dbt

Snowflake

BI Tool Experience

Analytics Partnership

Tools

Airflow

PostgreSQL

AWS Services

Kubernetes

Job description

At Builder Prime, we’re revolutionizing the home improvement industry by doing more than just building software—we’re giving hardworking contractors their time and freedom back. Our all-in-one business management solution is the essential platform for companies at their "level-up" moment, seamlessly integrating CRM, estimating, production management, payments, and reporting. By replacing disjointed tools with a unified data and automation foundation, we empower businesses to operate more efficiently, win more jobs, and achieve their growth goals. We look for collaborative and community-oriented team members who bring initiative and curiosity to the challenge of solving problems for our customers.

In 2023, Builder Prime raised their Series A financing from Blueprint Equity and additional investors. We recently announced our Series B, also financed by Blueprint Equity.

THE ROLE

This is a remote position open to candidates authorized to work in the US without visa sponsorship, who presently reside in the US. There is a preference for candidates in states where we already have Builder Prime employees; California, Colorado, Florida, Georgia, Idaho, Indiana, Nebraska, New York, Ohio, Oregon, Texas, Utah, Virginia, Washington, and Wisconsin. Builder Prime has an office in the greater Denver metro area (Westminster) that the majority of the sales team works out of.

We are seeking an experienced Data Engineer to join our team at Builder Prime. This role requires deep technical expertise in SQL, data transformation pipelines, and modern cloud data platforms. You'll work on critical data infrastructure that powers our analytics and business intelligence capabilities, with opportunities to tackle challenging technical problems involving both real-time streaming and batch data architectures.

This position offers a unique opportunity to work in a collaborative, remote-friendly environment where data quality and reliability are paramount. You'll be part of a team that values deep technical curiosity, methodical problem-solving, and the ability to balance pragmatic solutions with technical excellence. We're looking for someone who not only has strong technical skills but can also communicate complex concepts effectively and contribute to our modern data stack using cutting-edge tools.

This role will report directly to our Staff Data Engineer and will sit on the Engineering team.

THE DAY-TO-DAY

• Design, develop, and maintain scalable data pipelines and transformations
• Build and optimize complex SQL queries and data models
• Implement and manage real-time and batch data ingestion workflows using CDC
• Orchestrate end-to-end data pipelines with monitoring and alerting
• Build reports and dashboards in BI tools to support business analytics
• Collaborate with analytics and engineering teams to deliver reliable data solutions
• Ensure data quality, consistency, and reconciliation across the pipeline
• Monitor and optimize data platform performance and costs
• Ensure data quality, reliability, and governance standards

THE MUST-HAVES

Core Technical Skills:

• SQL Proficiency (Expert): Advanced query optimization, performance tuning, and deep understanding of database internals, complex analytical queries (window functions, CTEs), query plan analysis, and index optimization.
• Database Fundamentals (Strong): Expertise in join types (sort-merge, hash, nested loop), index vs. sequential scan tradeoffs, query optimization, materialized views, incremental computation, transaction isolation, and concurrency control.
• Python (Proficient): Writing scripts for data processing/transformation, using data libraries (pandas, polars), API integrations, automation, and code quality/testing.
• Change Data Capture (CDC) (Strong): Experience with CDC tools (Debezium, AWS DMS, etc.), log-based replication, handling schema evolution, understanding at-least-once/exactly-once semantics, idempotency, and backfilling historical data.
• dbt (3+ years): Building and scaling dbt projects, semantic layer/dimensional modeling, incremental models/materialization, testing, documentation, CI/CD for analytics, and package management.
• Snowflake (3+ years): Expertise in S3 integration/external stages, Snowpipe (continuous and streaming), warehouse sizing/cost optimization, serverless features/task orchestration, data sharing, performance monitoring, governance (resource monitors), data lifecycle management, and understanding micro-partitions/clustering.
• Core Concepts (Foundational): Understanding event time vs. processing time, watermarks/late data handling, backfilling strategies, stream-to-stream joins, and windowing operations (tumbling, sliding, session).
• BI Tool Experience (Required): Building reports, dashboards, and visualizations in modern BI platforms (Looker, Tableau, Power BI, Metabase, etc.). Translating business needs into data models/metrics, optimizing data models for performance, and collaborating with stakeholders.
• Analytics Partnership: Cross-functional collaboration with analytics/business teams, data model documentation (data dictionaries), supporting ad-hoc analysis, and balancing flexibility with governance.

Experience:

• 3+ years of production data engineering experience
• 3+ years working with dbt or similar transformation frameworks
• 3+ years hands-on experience with Snowflake
• Experience building CDC pipelines and handling real-time data ingestion
• Demonstrated ability to build reports and dashboards in BI tools
• Track record of building and maintaining data pipelines at scale
• Experience with data quality validation and reconciliation
• Track record of optimizing data platform performance and costs

THE NICE-TO-HAVES

• Experience with data orchestration tools (Airflow, Dagster, Prefect, or similar)
• AWS services (S3, RDS, DMS, EKS)
• PostgreSQL administration and replication
• Kubernetes and containerization
• Real-time materialized views and incremental view maintenance
• Data warehouse optimization for columnar storage
• Experience with streaming SQL transformations
• Understanding of eventual consistency and distributed systems
• Data quality frameworks and testing tools (Great Expectations, Soda, etc.)
• Understanding of platforms like Kafka, Flink, or similar
• Knowledge or experience in SaaS and the home improvement industry.
• Strong understanding of business management CRM software and its application in improving business processes.

THE BENEFITS

Why You'll Love Working Here:

• Exceptional Health Coverage – We cover 95% of medical, dental, and vision premiums for employees (Aetna & Guardian), plus 50% for dependents
• Strong Retirement Match – 401k with up to 4% company match that’s immediately vested (no waiting period!)
• Generous Time Off – 15 PTO days, 48 hours sick time, 9 paid holidays, plus a paid volunteer day to give back to your community
• Annual International Retreat – All-expenses-paid company trip to connect with teammates in amazing destinations (2026: Cancun, Mexico!)
• Life Happens Coverage – Company-paid life insurance ($50k), AD&D, and short-term disability, plus optional accident, hospital, critical illness, and additional life insurance
• Grow With Us – $300 annual professional development stipend, plus an incredible sabbatical at 5 years (2 extra weeks PTO + $1,000 travel bonus)
• Comprehensive Parental Leave – 10 weeks paid parental leave for birthing parents, 4 weeks for non-birthing parents
• Fully Equipped From Day One – Company-provided laptop and all the equipment you need to succeed
• Room to Grow: We LOVE to promote from within. Show us your best stuff, and you’ll have ample opportunity to grow and advance.
• Flexible Work Arrangements: We are currently a mix of hybrid and fully remote roles across multiple time zones to support work-life balance.
• We Hate Red Tape: We never restrict our team’s creativity, so you’ll have the freedom to experiment and test out new ideas. At Builder Prime, “Iterate To Innovate” is a foundational philosophy.
• Strong Culture: Through the use of platforms like Bonusly, the Coffee Chat slack app, and other events and initiatives (both virtual and in-person), we strive to make work both a place where you can do the best work of your career AND have fun. There is no reason it can’t be both!

These position will pay a base salary of $125,000-$145,000 depending on experience.

Builder Prime is an Equal Opportunity Employer and values diversity at all levels. We also participate in E-Verify to confirm employment eligibility in the U.S.