Engineering Manager jobs in United States

Explore 470 matching jobs.

NerdWallet

Senior Engineering Manager, Partner Data Ingestion

NerdWallet

Posted: 10/19/2026
AirflowAWSPostgresPythonSQL
HungerRush

Engineering Manager

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Head of Engineering, Data Science

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OpenAI

Engineering Manager – Preparedness

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Thomson Reuters

Engineering Manager, AI

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Posted: 10/19/2026
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Walmart

Senior Manager, Software Engineering

Walmart

Posted: 10/19/2026
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American Electric Power

Technology Manager – Software Development

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Cloudflare

Engineering Manager – Data Center Operations

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SES Satellites

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Headway

Senior Engineering Manager – Infrastructure

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CivicPlus

Senior Manager, Software Development

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Posted: 10/17/2026
AxisCare Home Care Software

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Wpromote

VP of Engineering

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AirflowBigQueryCloudDistributed SystemsDjangoGoogle Cloud PlatformPostgresPythonReact+1 more
Apella

Engineering Manager, Machine Learning

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Posted: 10/16/2026
NerdWallet

Senior Engineering Manager, Partner Data Ingestion

NerdWallet
Posted 10/19/2026full-timeRemote • United StatesSenior💰 $176,000 - $330,000 per yearWebsite
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Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in leading data ingestion teams through platform migrations while ensuring revenue accuracy and data integrity. Proficient in managing engineering talent and collaborating with cross-functional stakeholders to drive technical decisions and project delivery.

Highest-signal resume keywords
Data Pipeline OwnershipSQL ProficiencyPython ProgrammingMigration ExperienceTeam Leadership

Tech Stack

Tools & technologies
AirflowAWSPostgresPythonSQL

About the role

Key responsibilities & impact
  • Lead the Partner Data Ingestion team through the remainder of a multi-vertical platform migration and into steady-state operation
  • Move ingestion from batch-job schedules to event-based and hourly processing
  • Own the path off legacy ingestion and onto one platform while keeping revenue flowing and reconciling partner data
  • Hire, lead, and develop engineers at multiple levels, including full-time staff and contractors
  • Own revenue accuracy so partner files, pricing rules, and warehouse figures agree with Finance recognition
  • Drive migration of verticals and partners from legacy ingestion to the modern platform
  • Build new connectors to partner API portals and retire the old path once the new one is proven
  • Partner with Business Development, Finance, Product, and vertical engineering leaders to sequence work and resolve discrepancies
  • Manage sprint planning, project timelines, and delivery commitments
  • Drive adoption of AI-assisted development with human review for revenue-impacting changes
  • Guide technical decisions on pipeline design, data modeling, and pricing logic
  • Enforce code review, testing, documentation, and job operability practices
  • Identify and escalate delivery risks before they become revenue misses
  • Maintain ingestion reliability, freshness, completeness, and clear ownership of data issues
  • Mentor engineers, including staff engineers and contractors
  • Report to the VP of Engineering

Requirements

What you’ll need
  • 8+ years of relevant software engineering experience
  • 5+ years as the people manager of an engineering team
  • Proven success owning production data pipelines or an ingestion platform where correctness is the product, such as revenue, billing, or payments
  • Experience leading a migration from a legacy system to a new platform while both are still in production
  • Strong SQL and Python
  • Working knowledge of Snowflake and AWS
  • Familiarity with workflow orchestration such as Airflow or Step Functions
  • Familiarity with a relational database such as Postgres
  • Experience with pipelines that are idempotent, observable, and safe to rerun
  • Working knowledge of data-quality practices, including reconciliation, anomaly review, and source discrepancy investigation
  • Experience partnering with finance, business development, or other non-engineering stakeholders on data used for money decisions
  • Ability to coach engineers at different levels, including senior and staff engineers, with clear, actionable feedback
  • Experience balancing delivery dates with technical quality on systems that cannot silently drop or double-count data
  • Track record of using automation, including AI-assisted development, to raise team throughput
  • Strong written communication when explaining discrepancies and decisions to people outside engineering
  • Must be based in the United States

Benefits

Comp & perks
  • Industry-leading medical, dental, and vision health care plans for employees and their dependents
  • Flexible Vacation Time Off
  • 11 holidays
  • Holiday company shutdown
  • New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care
  • Mental health support
  • Paid sabbatical after 5 years
  • Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution
  • Monthly Wellness Stipend
  • Cell Phone Stipend
  • Wifi Stipend for remote Nerds
  • Work from home equipment stipend for remote Nerds
  • Co-working space subsidy for remote Nerds
  • Employee Resource Groups
  • Hackathons and team events
  • Company-wide events
  • 8 hours of volunteer time off per quarter
  • Company match for charitable donations
  • 401K with 4% company match
  • Early access to new financial products and tools
  • Financial wellness guidance and unlimited access to a Certified Financial Planner through Northstar
  • Disability and Life Insurance with employer-paid premiums
  • Equity

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data IngestionData ModelingWorkflow OrchestrationData Quality PracticesIdempotent PipelinesObservable PipelinesReconciliationAnomaly ReviewSource Discrepancy InvestigationAutomation
Soft Skills
CoachingWritten CommunicationMentoring
Tools & Technologies
SnowflakeAWSAirflowStep FunctionsPostgres
Industry Keywords
Revenue AccuracyPartner DataLegacy System MigrationProduction Data PipelinesBusiness Development Collaboration