Data Engineer

Shawmut Services LLC

Data Engineer designing data pipelines for Revolution Field Strategies. Collaborating with leaders on data needs and ensuring data quality through scalable solutions.

Posted 7/23/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $72,000 - $84,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL/ELT data pipelines, optimizing data architectures, and ensuring data quality and performance. Proficient in collaborating with leadership to address data needs and automate workflows using advanced programming skills.

Highest-signal resume keywords

Data EngineeringETL/ELT Pipeline DevelopmentPython ProgrammingSnowflake Data WarehousingData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentData Pipeline DesignData Architecture OptimizationSQL ProgrammingScala ProgrammingData StandardizationData AnalysisData ValidationData TestingAPI Integration

Soft Skills

CollaborationLeadershipProblem-SolvingAdaptabilityCommunication

Tools & Technologies

SnowflakeBigQueryRedshiftDatabricksWeb Browser Automation

Industry Keywords

Data WarehousingData QualityData ReliabilityData PerformanceLarge Datasets

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryETLPythonScalaSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable ETL/ELT data pipelines.
Build and optimize data architectures and warehouses (e.g., Snowflake, BigQuery Etc).
Integrate data from a wide variety of sources using APIs and web browser automations.
Collaborate with company leadership to understand data needs and implement ongoing improvements in system processes.
Monitor and ensure data quality, reliability, and performance.
Automate data workflows and implement data validation and testing processes.
Maintain up-to-date documentation for data pipelines, systems, and processes.

Requirements

What you’ll need

2+ years management experience
2+ years of experience in data engineering or related fields.
Experience working with large datasets, including standardizing and analyzing
Familiarity with data warehousing solutions like Snowflake, Redshift, BigQuery, or Databricks.
Strong programming skills in Python, SQL, or Scala.
Ability and willingness to work a demanding schedule, which can reach 70+ hours per week at peak times and can be expected to include evenings and weekends
Must possess a computer with at least 32 gigabytes of ram
Must have two computer monitors

Benefits

Comp & perks

RFS offers all full-time employees who remain with our team for more than three months full health care, dental, and vision benefits.
Any job-related travel, lodging, and other expenses are paid for by RFS.