Senior Data Engineer, Analytics

Great Minds

. Lead end-to-end delivery of complex pipelines and integrations, including source onboarding, secure connectivity, ingestion configuration, validation, deployment, and operational handoff .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $88,000 - $97,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data engineering with a focus on pipeline reliability, advanced SQL, and dbt for data modeling. Capable of translating business needs into technical solutions while ensuring data quality and compliance.

Highest-signal resume keywords

Data Engineering ExperienceAdvanced SQLDbt ExperienceProduction Experience with SnowflakeMonitoring and Alerting Implementation

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 Pipeline DevelopmentData TransformationSchema DesignError HandlingTesting and DocumentationPerformance TuningIncident ResponseRoot-Cause AnalysisVersion ControlCI/CD

Soft Skills

Strong CommunicationPrioritization SkillsMentoring

Tools & Technologies

SnowflakeFivetranCloud Data WarehouseData Governance ToolsMonitoring Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in Data Science

Industry Keywords

Data OperationsData QualityData GovernanceSecure-by-Design PracticesOperational Processes

Tech Stack

Tools & technologies

CloudSnowflakeSQL

About the role

Key responsibilities & impact

Lead end-to-end delivery of complex pipelines and integrations, including source onboarding, secure connectivity, ingestion configuration, validation, deployment, and operational handoff
Provide advanced platform support across ingestion, transformation, orchestration, monitoring, and warehouse operations
Design and maintain dbt or similar models that transform raw data into curated, tested, documented, consumption-ready datasets
Establish engineering standards for pipeline development, including naming conventions, load strategies, data contracts, error handling, and testing
Own pipeline reliability through monitoring, alerting, SLAs/SLOs, incident response, and root-cause analysis
Improve warehouse performance and cost efficiency through warehouse sizing, job scheduling, and query/pipeline tuning
Implement secure-by-design practices, including least-privilege access, secure sharing, and privacy/compliance support
Partner with data governance and analytics to improve data quality and trust through validation, reconciliation, freshness monitoring, and source-to-target documentation
Support deployment and change management through version control, CI/CD, and environment promotions
Mentor engineers through technical guidance and code review
Translate business needs into well-scoped technical solutions and communicate tradeoffs to technical and non-technical audiences

Requirements

What you’ll need

5+ years in data engineering, platform, or data operations
Demonstrated ownership of production pipelines and reliability
Advanced SQL
Proven experience diagnosing and resolving production issues, including ingestion failures, schema drift, anomalies, and performance bottlenecks
Hands-on dbt or comparable experience building and maintaining data models in a cloud warehouse
Experience with testing, documentation, and modular data model design
Production experience with a modern cloud data warehouse; Snowflake strongly preferred
Production experience with managed ingestion tooling; Fivetran preferred
Experience implementing monitoring, alerting, and operational processes that improved reliability, MTTR, or freshness
Strong communication across technical and non-technical stakeholders
Strong prioritization skills
Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative discipline
Cover letter and resume required
Successful completion of a background check required
Must be legally authorized to work in the United States
Must answer whether future employment visa sponsorship will be required

Benefits

Comp & perks

Equal opportunity employment
Base salary excludes benefits and other incentives