Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PwC

Senior Data Engineer

PwC

. Design and build data pipelines, data integration flows, and transformation logic for managed services engagements .

Posted 10/22/2026full-timeUnited StatesSenior💰 $77,000 - $202,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building data pipelines and integration flows using AWS, Snowflake, Apache Airflow, and MySQL. Capable of mentoring junior team members while delivering data engineering solutions that support analytics and decision-making.

Highest-signal resume keywords
Data Pipeline DevelopmentAWS UtilizationSnowflake ExperienceData Quality ValidationMentoring Junior Team Members

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringData IntegrationData TransformationData Quality AnalysisProblem Solving
Soft Skills
CollaborationAdaptabilityClient Engagement
Tools & Technologies
AWSSnowflakeApache AirflowMySQL
Industry Keywords
Data AnalyticsBusiness AdministrationComputer ScienceEconomicsMathematics

Tech Stack

Tools & technologies
AirflowApacheAWSCloudMySQL

About the role

Key responsibilities & impact
  • Design and build data pipelines, data integration flows, and transformation logic for managed services engagements
  • Develop data infrastructure components across cloud-based platforms, data lakes, and warehouses
  • Use AWS, Snowflake, Apache Airflow, and MySQL for ingestion, orchestration, storage, and query performance
  • Troubleshoot warehouse issues, validate data quality, and refine pipeline logic to improve reliability
  • Translate business needs into data engineering solutions supporting reporting, analytics, and decision-making
  • Interpret data patterns and technical findings to inform client and internal-team recommendations
  • Review assigned work from junior team members and provide guidance on technical tasks and deliverables
  • Resolve complex data engineering problems and adapt approaches as project needs change
  • Analyze complex problems, manage assigned workstreams, build client connections, and guide junior team members
  • Support delivery across client service engagements aligned with broader project goals
  • Travel up to 60%

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 3 years of experience
  • Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
  • Demonstrating data engineering experience supporting client service engagements
  • Utilizing AWS, Snowflake, Airflow, or MySQL in data pipelines
  • Interpreting data quality, validation, and transformation needs
  • Collaborating across teams while adapting to ambiguity
  • Mentoring junior team members and reviewing work deliverables
  • Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in PwC policy

Benefits

Comp & perks
  • Annual discretionary bonus
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave