Senior Data Engineer

Benepass

. Own the design and implementation of the data platform, including warehouse, replication, orchestration, transformation, and semantic layers .

Posted 10/7/2026full-timeRemote • United StatesSenior💰 $175,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, focusing on the design and implementation of data platforms, data quality, and pipeline architecture. Proficient in SQL, Python, and modern data stack tools, with a strong understanding of data governance and compliance.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProgrammingData Warehouse ExpertiseAWS Data Services Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ArchitectureDimensional ModelingData Quality PatternsData Replication PipelinesSemantic LayersIncremental ModelsMaterialized ViewsData Quality ChecksAutomated TestingRow-Level Security

Soft Skills

Clear CommunicationHigh-Ownership MindsetCollaboration

Tools & Technologies

DbtRedshiftSnowflakeBigQueryAWS RDSAWS S3AWS DMSTerraformAirbyteFivetran

Industry Keywords

PII ComplianceMulti-TenancyData ResidencyGoverned MetricsBI Tools

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

Own the design and implementation of the data platform, including warehouse, replication, orchestration, transformation, and semantic layers
Architect reliable pipelines from Aurora/RDS and application databases into the warehouse while handling PII, multi-tenancy, and data residency constraints
Maintain orchestration and job scheduling infrastructure with recovery and observability
Design for query performance and cost through query patterns, materialization, incremental models, partitioning, and warehouse tuning
Build data quality checks, automated testing, validation, lineage, documentation, and metadata
Define data modeling, slowly changing dimensions, multi-tenant access controls, and row-level security patterns
Partner with Engineering on source data contracts, instrumentation gaps, and schema evolution
Build dbt staging-to-mart models and Cube models and measures for governed BI and product reporting
Implement Cube row-level security and optimize query speed with pre-aggregations, caching, and materialized views
Enable analysts and data scientists to extend models, write safe queries, and build reports
Partner with Product, Engineering, Customer Operations, GTM, Sales, Finance, analysts, and data scientists on data solutions
Own monitoring, alerting, incident response, post-mortems, deployment workflows, testing frameworks, refresh triggers, and observability
Maintain runbooks and onboarding materials
Shape the data platform roadmap and evaluate real-time, streaming, CDC, catalog, and BI capabilities
Align data infrastructure with AWS, Kubernetes, infrastructure, and security patterns
Attend company-wide on-site events three times per year

Requirements

What you’ll need

5+ years of data engineering experience, with growing ownership of platform architecture, data pipelines, and data quality
Strong SQL and Python; experience building production data pipelines on modern data stacks
Hands-on experience with data warehouses (Redshift, Snowflake, BigQuery) and dbt
Experience building and maintaining data replication pipelines (CDC, DMS, Airbyte, Fivetran, or similar)
Solid understanding of dimensional modeling, data grain, slowly changing dimensions, and data quality patterns
Experience with semantic layers or metrics platforms (Cube, LookML, MetricFlow) and governed metrics in BI tools
Comfort with AWS data services (RDS, S3, Redshift, DMS, Lambda) and infrastructure-as-code; Terraform preferred
Experience working with PII, multi-tenant data, row-level security, and compliance requirements in regulated domains
Clear written and verbal communication
Fit with a high-ownership, high-trust culture
U.S.-based and able to work legally in the United States, as indicated by the application questions

Benefits

Comp & perks

95% coverage of medical, dental, and vision
$250 WFH setup allowance (one time)
$500/year Learning & Development Benefit
$150/month cell phone + internet
$100/month Wellness benefit
$100/month Co-working and Commuter Benefit
Several team onsites a year
Flexible PTO
Equity