Senior Data Engineer - ETL/ELT

First Citizens Bank; Phoenix (AZ); Remote; USD 140,000 - 180,000; Full time

Job summary

First Citizens Bank is seeking a Senior Data Engineer to design and operate modern data pipelines in a cloud-based data platform. This remote role may be filled in North Carolina, Arizona, or Texas and requires hands-on delivery of complex pipeline components.

You will mentor junior engineers, partner with Leads on architectural decisions, and focus on reliability, performance, and cost optimization while growing toward platform ownership.

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
• Hands-on production experience with data pipelines, cloud platforms, and governance practices

Responsibilities

• Design and build data pipelines using Medallion Architecture patterns (Bronze, Silver, Gold)
• Develop and support ingestion pipelines using Qlik Replicate for snapshot and CDC patterns
• Develop dbt models using SQL and Jinja templating; implement automated data quality tests
• Deploy with CI/CD for dbt transformations and manage Snowflake ingestion using Snowpipe/Tasks
• Develop and operate data workloads on AWS (S3, Lambda, ECS Fargate, Glue, IAM) or Azure equivalents
• Mentor junior data engineers and collaborate with Lead Data Engineers on design decisions

Skills

Data pipelines

Cloud data platform

dbt modeling

Python development

Snowflake

CI/CD pipelines

ETL/ELT

Education

Bachelor's Degree, Data engineering or related field

4+ years data engineering experience

Tools

Qlik Replicate

dbt Cloud

Snowpipe

Snowflake

AWS or Azure

GitLab / GitHub Actions

Job description

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

#LI-JM1

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 benefits.