Staff Data Engineer

PerfectServe

. Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume .

Posted 9/24/2026full-timeRemote • United StatesLead💰 $170,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating cloud data platforms, with a strong focus on data ingestion, modeling, and integration design. Proficient in SQL and cloud data warehousing, with a commitment to data quality and mentoring data engineering teams.

Highest-signal resume keywords

Cloud Data Platform DevelopmentSQL ProficiencyData Ingestion Pipeline ConstructionDimensional ModelingWorkflow Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLCloud Data WarehouseDimensional ModelingELTChange-Data-CaptureData Quality TestingData IngestionData ModelingTransformation Framework (dbt)Integration Design

Soft Skills

Decision-MakingMentoring

Tools & Technologies

SnowflakeBigQueryDatabricksAWSAirflowDagsterPrefect

Industry Keywords

Data EngineeringData QualityData ExtractionProduction DatabasesArchitecture Design

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudSQL

About the role

Key responsibilities & impact

Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume
Shape the detailed architecture from the high-level direction, working with the architecture team
Own integration design across a varied set of production source systems
Build ingestion pipelines from those systems
Model raw data into business-ready datasets, with one agreed definition per metric
Set the engineering standards the team works to, including data quality and testing
Partner with platform and operations teams on safe, low-impact extraction from production databases
Work directly with data users so what gets built answers real questions
Mentor data engineers and help shape their work

Requirements

What you’ll need

Substantial experience building and operating cloud data platforms, ideally including one you designed from scratch
Comfort making decisions with incomplete information, and the judgement to know which ones are expensive to get wrong
Deep SQL, and strong command of a cloud data warehouse (Snowflake, BigQuery, Databricks or similar)
A transformation framework such as dbt, with clear opinions on how to structure a project
ELT and change-data-capture experience across relational sources
AWS — read replicas, object storage, and moving data between regions without surprises
Dimensional or medallion modeling, applied rather than theoretical
Workflow orchestration (Airflow, Dagster, Prefect or similar) and data quality testing as a habit

Benefits

Comp & perks

Remote first work environment
Health, Dental, Vision, Life and Disability Insurance options available day one.
401K - with match and immediately vested.
17 company holidays, 2 floating holidays plus competitive paid time off policy
Internal Advancement Opportunities