Data Engineer

Builder Prime

36d•Remote

About The Position

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.

Requirements

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.
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

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.

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
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

Benefits

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!