Senior Data Reliability Engineer – AWS

Empower

. Own production data pipeline and platform reliability .

Posted 9/29/2026full-timeUnited StatesSenior💰 $105,700 - $149,275 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production data platforms, with a strong focus on AWS environments, data pipeline design, and troubleshooting distributed data-processing systems. Proficient in Python and SQL for automation and tooling to enhance data quality and operational resilience.

Highest-signal resume keywords

Production Data Pipeline DevelopmentAWS Data Services ExperiencePython and SQL ProficiencyTroubleshooting Distributed Data-Processing SystemsIncident Response and Root Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignProduction Data ArchitectureData Quality MonitoringBackfills and ReprocessingRoot Cause AnalysisData ValidationSchema Changes ManagementPerformance TroubleshootingAutomation with PythonSQL Querying

Soft Skills

Problem-SolvingCommunication with StakeholdersCollaboration with Data Engineering Teams

Tools & Technologies

AWS EMRAWS S3AWS GlueAWS RedshiftAWS DynamoDBAWS LambdaSnowflake

Industry Keywords

Data QualityData FreshnessData LatencyOperational DocumentationOn-Call Rotation

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudDynamoDBPythonSparkSQL

About the role

Key responsibilities & impact

Own production data pipeline and platform reliability
Resolve failures, delays, data quality issues, and performance problems
Troubleshoot distributed data-processing workloads across Spark/EMR, ingestion pipelines, Redshift, and Snowflake
Lead or support incident response, perform root cause analysis, restore data safely, and implement lasting fixes
Define and monitor data SLAs for freshness, latency, and completeness
Improve monitoring, alerting, and observability
Diagnose late-arriving data, incomplete loads, duplicate data, schema changes, and reconciliation failures
Perform safe backfills, reprocessing, and production data recovery
Develop Python and SQL automation and tooling to reduce operational toil and improve resilience
Identify and address data-platform performance and cost issues
Partner with Data Engineering teams on pipeline design, data quality, reliability, and production readiness
Support disaster recovery, backup validation, and recovery workflows
Create and maintain runbooks, SOPs, and operational documentation
Participate in an on-call rotation for production data systems

Requirements

What you’ll need

5+ years of hands-on experience building, operating, or supporting production data platforms, with significant recent experience in AWS environments
Hands-on experience designing, building, deploying, and operating production-grade data pipelines
Prior experience building data pipelines through production, including real-world failures and operational challenges
Strong hands-on Python and SQL experience in production data environments
Hands-on experience troubleshooting distributed data-processing systems such as Spark/EMR
Experience with AWS data services such as EMR, S3, Glue, Redshift, DynamoDB, Lambda, or similar
Experience operating or troubleshooting cloud data warehouses such as Redshift, Snowflake, or similar
Strong understanding of end-to-end production data architecture, including ingestion, processing, orchestration, storage/warehousing, data quality, monitoring, and downstream consumption
Experience handling production incidents and performing root cause analysis
Experience with data validation, reconciliation, backfills, reprocessing, and late or incomplete data
Strong problem-solving skills for ambiguous production data issues
Strong communication during incidents with technical and non-technical stakeholders
Ability to participate in an on-call rotation and occasional change windows outside normal business hours
Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT
Technical assessments must be completed independently
Final candidates may be subject to identity, employment, education, certification, reference, and background verification
Reliable high-speed internet with a wired connection and suitable home workspace for remote work

Benefits

Comp & perks

Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) facilitating inclusion and collaboration
Bonus program opportunity for non-sales positions
Reliable high-speed internet and wired connection required for remote/hybrid work
Necessary computer equipment provided