Senior Data Engineer - ETL/ELT (Remote - NC, AZ, TX, FL)
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Before you apply
LocationNCSDAC-Data Center, United States
Work moderemote
Typefull-time
SenioritySenior
Experience4+ yrs
DepartmentCorporate Support and Operations
Company size10,000+ people
First seenOct 17, 2026 · 2w ago
Verified live7h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's Degree and 4 years of experience in Data engineering, data technologies, cloud platforms
High School Diploma or GED and 8 years of experience in Data engineering, data technologies, cloud platforms
Building data pipelines using Medallion Architecture patterns
Data ingestion using Qlik Replicate (snapshot, CDC, batch)
Python development for data pipeline components
dbt Cloud modeling, testing, and SQL development
Snowflake ingestion and processing (Snowpipe, Tasks, Stored Procedures)
RBAC and data masking concepts in Snowflake
Cloud-native development on AWS or equivalent Azure platforms
Experience with CI/CD pipelines (GitLab, GitHub Actions, etc.)
Observability and monitoring tools such as Splunk or Dynatrace
Experience in regulated or governance-heavy environments
Snowflake AI development using Cortex CoCo
Relevant cloud or data platform certifications
Skills
Python
SQL
dbt
Snowflake
AWS
Azure
GitLab
GitHub Actions
Splunk
Dynatrace
Snowflake Cortex CoCo
Qlik Replicate
Benefits
Health insurance
401(k)
Unlimited PTO
Remote stipend
Overview
This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas.
We are seeking a Senior Data Engineer with strong hands-on experience building and operating modern data pipelines in a cloud-based data platform. This role sits one level below the Lead Data Engineer and is focused on implementing, enhancing, and supporting data pipelines and platform capabilities under established architectural patterns.
Senior Data Engineers are expected to be daily hands-on contributors who can independently deliver complex pipeline components, partner effectively with Leads, and mentor junior engineers while continuing to grow toward platform ownership and technical leadership.
Responsibilities & Qualifications
Duties & Responsibilities:
Data Pipeline Development
•
Design and build data pipelines using established Medallion Architecture patterns (Bronze, Silver, Gold).
• Implement batch and CDC-based ingestion pipelines from databases, files, and APIs.
• Support pipeline reliability, scalability, performance, and cost optimization.
Data Ingestion & Integration
•
Develop and support ingestion pipelines using Qlik Replicate for snapshot and CDC patterns.
• Implement ingestion processes for structured and semi-structured data.
• Build and extend Python-based pipeline components following existing frameworks.
Transformation, Modeling & Testing
•
Develop dbt models using SQL and Jinja templating.
• Implement and maintain automated tests for data quality, freshness, and schema validation.
• Participate in CI/CD-based deployments of dbt transformations.
Snowflake Development & Governance
•
Implement Snowflake ingestion patterns using Snowpipe and Tasks.
• Apply and support RBAC, dynamic masking, and tag-based access controls.
• Develop stored procedures and support governed data access patterns.
Cloud Development
•
Develop and operate data workloads using AWS services such as S3, Lambda, ECS Fargate, Glue, DynamoDB, and IAM, or equivalent Azure services.
• Collaborate with senior engineers on deployment pipelines, automation, and environment promotion.
Operational Excellence
•
Troubleshoot data pipeline issues and participate in production support.
• Implement logging, monitoring, and alerting for pipelines and data processes.
• Contribute to performance tuning and cost optimization efforts.
Collaboration & Mentorship
•
Mentor junior data engineers through code reviews and technical guidance.
• Collaborate with Lead Data Engineers on design and implementation decisions.
• Partner with stakeholders to translate requirements into technical solutions.
Qualifications
Bachelor’s Degree and 4 years of experience in Data engineering, data technologies, cloud platforms
OR
High School Diploma or GED and 8 years of experience in Data engineering, data technologies, cloud platforms
Preferred Qualifications:
Qualified candidates will have proven, hands-on production experience with most of the following:
•
Building data pipelines using Medallion Architecture patterns
•
Data ingestion using Qlik Replicate (snapshot, CDC, batch)
•
Python development for data pipeline components
•
dbt Cloud modeling, testing, and SQL development
•
Snowflake ingestion and processing (Snowpipe, Tasks, Stored Procedures)
•
RBAC and data masking concepts in Snowflake
•
Cloud-native development on AWS or equivalent Azure platforms
•
Experience with CI/CD pipelines (GitLab, GitHub Actions, etc.)
•
Observability and monitoring tools such as Splunk or Dynatrace
•
Experience in regulated or governance-heavy environments
•
Snowflake AI development using Cortex CoCo
•
Relevant cloud or data platform certifications
Additional Information
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.
Duties & Responsibilities:
Data Pipeline Development
•
Design and build data pipelines using established Medallion Architecture patterns (Bronze, Silver, Gold).
• Implement batch and CDC-based ingestion pipelines from databases, files, and APIs.
• Support pipeline reliability, scalability, performance, and cost optimization.
Data Ingestion & Integration
•
Develop and support ingestion pipelines using Qlik Replicate for snapshot and CDC patterns.
• Implement ingestion processes for structured and semi-structured data.
• Build and extend Python-based pipeline components following existing frameworks.
Transformation, Modeling & Testing
•
Develop dbt models using SQL and Jinja templating.
• Implement and maintain automated tests for data quality, freshness, and schema validation.
• Participate in CI/CD-based deployments of dbt transformations.
Snowflake Development & Governance
•
Implement Snowflake ingestion patterns using Snowpipe and Tasks.
• Apply and support RBAC, dynamic masking, and tag-based access controls.
• Develop stored procedures and support governed data access patterns.
Cloud Development
•
Develop and operate data workloads using AWS services such as S3, Lambda, ECS Fargate, Glue, DynamoDB, and IAM, or equivalent Azure services.
• Collaborate with senior engineers on deployment pipelines, automation, and environment promotion.
Operational Excellence
•
Troubleshoot data pipeline issues and participate in production support.
• Implement logging, monitoring, and alerting for pipelines and data processes.
• Contribute to performance tuning and cost optimization efforts.
Collaboration & Mentorship
•
Mentor junior data engineers through code reviews and technical guidance.
• Collaborate with Lead Data Engineers on design and implementation decisions.
• Partner with stakeholders to translate requirements into technical solutions.
Qualifications
Bachelor’s Degree and 4 years of experience in Data engineering, data technologies, cloud platforms
OR
High School Diploma or GED and 8 years of experience in Data engineering, data technologies, cloud platforms
Preferred Qualifications:
Qualified candidates will have proven, hands-on production experience with most of the following:
•
Building data pipelines using Medallion Architecture patterns
•
Data ingestion using Qlik Replicate (snapshot, CDC, batch)
•
Python development for data pipeline components
•
dbt Cloud modeling, testing, and SQL development
•
Snowflake ingestion and processing (Snowpipe, Tasks, Stored Procedures)
•
RBAC and data masking concepts in Snowflake
•
Cloud-native development on AWS or equivalent Azure platforms
•
Experience with CI/CD pipelines (GitLab, GitHub Actions, etc.)
•
Observability and monitoring tools such as Splunk or Dynatrace
•
Experience in regulated or governance-heavy environments
•
Snowflake AI development using Cortex CoCo
•
Relevant cloud or data platform certifications