Senior Data Engineer

Salas O'Brien

Senior Data Engineer responsible for designing and maintaining enterprise data infrastructure for analytics. Collaborating with stakeholders to ensure reliable data management and support for AI initiatives at Salas O’Brien.

Posted 7/10/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines, with advanced proficiency in SQL and Python. Capable of integrating diverse data sources and ensuring data quality and compliance with enterprise standards.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingCloud-Based Data PlatformsData Quality Control

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData TransformationData Delivery ProcessesSQLPythonData WorkflowsData IntegrationData Monitoring SolutionsData ClassificationData Lineage

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication AbilitiesCollaboration Abilities

Tools & Technologies

ERP SystemsCRM SystemsHRIS SystemsDeltek VantagepointCloud Data Platforms

Industry Keywords

Data EngineeringEnterprise ReportingAnalyticsAI WorkloadsData ModelsMaster Data StrategiesAccess ManagementAudit Requirements

Tech Stack

Tools & technologies

CloudERPPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines that support enterprise reporting, analytics, and AI workloads.
Integrate data from a variety of business systems including ERP, CRM, HRIS, Deltek Vantagepoint.
Develop ingestion, transformation, and data delivery processes that support enterprise business requirements.
Build and maintain data workflows that support both batch and near real-time processing needs.
Ensure data pipelines are reliable, maintainable, and scalable as business demands evolve.
Implement data quality controls, validation processes, and monitoring solutions.
Collaborate with Data & Information Architects to implement enterprise data models and master data strategies.
Support data classification, retention, lineage, access management, and audit requirements.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline
6+ years of professional data engineering experience
Strong experience designing, developing, and supporting production data pipelines
Advanced proficiency in SQL and Python
Experience working with cloud-based data platforms and enterprise data environments
Strong analytical and problem-solving skills
Excellent communication and collaboration abilities
Authorization to work in the United States without sponsorship.

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) with company match
Paid time off and company holidays
Wellness programs and employee assistance resources
Professional development and learning opportunities
Employee ownership participation