Data Engineer - Level I (MS)

PHL-Manila

Actively hiring, first seen by us 1 day ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design and develop data pipelines in Apache Airflow
Build and maintain dbt transformation logic with tests and documentation
Develop and optimize data models in Snowflake
Implement data quality checks, monitoring, and alerting
Write complex SQL for transformation and validation

From the employer’s posting

Design and develop data pipelines using Apache Airflow to orchestrate complex workflows

Build and maintain transformation logic using dbt Core

Develop and optimize data models in Snowflake

Implement data quality checks, monitoring, and alerting to ensure data reliability

Write complex SQL for data transformation, quality validation, and business logic implementation

What you’ll bring

All qualifications

Core experience

Strong SQL, including complex queries, CTEs, and window functions
Python for data engineering and automation
Hands-on dbt experience (Core or Cloud)
Experience with Apache Airflow or similar orchestration tools

Preferred experience

Experience with data replication tools such as Qlik Replicate, Fivetran, AWS DMS, or similar CDC solutions
Experience setting up and managing infrastructure for dbt Core, including deployment automation, testing frameworks, and orchestration integration
Knowledge of real-time data streaming and event-driven architectures
Knowledge of containerization (Docker) and infrastructure as code (Terraform, CloudFormation)

Qualification wording

Strong proficiency in SQL with experience writing complex queries, CTEs, and window functions

Proficiency in Python for data engineering tasks, scripting, and automation

Hands-on experience with dbt (Core or Cloud) for data transformation and modeling

Experience orchestrating workflows with Apache Airflow or similar tools

Experience with data replication tools such as Qlik Replicate, Fivetran, AWS DMS, or similar CDC solutions

Experience setting up and managing infrastructure for dbt Core, including deployment automation, testing frameworks, and orchestration integration

Knowledge of real-time data streaming and event-driven architectures

Knowledge of containerization (Docker) and infrastructure as code (Terraform, CloudFormation)

Education & alternatives

Education - Required knowledge and skills would typically be acquired through a Bachelors degree in computer science, business, or related field Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

Apply at Arch Capital Group

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Arch Capital Group is hiring

22 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
BigQuery
dbt
Docker
Fivetran
GCP
Redshift
Snowflake
Terraform
Airflow

Where the posting names them

- Strong proficiency in SQL with experience writing complex queries, CTEs, and window functions - Proficiency in Python for data engineering tasks, scripting, and automation - Hands-on experience with dbt (Core or Cloud) for data transformation and modeling

- Develop and optimize data models in Snowflake, leveraging cloud data warehouse capabilities for performance and cost efficiency - Write complex SQL for data transformation, quality validation, and business logic implementation - Collaborate closely with the infrastructure team to ensure the data platform remains modern, well-monitored, and fully optimized, with industry best practices consistently applied

- 3+ years of experience in data engineering or related role - Strong proficiency in SQL with experience writing complex queries, CTEs, and window functions - Proficiency in Python for data engineering tasks, scripting, and automation

Desired Skills: - Experience with data replication tools such as Qlik Replicate, Fivetran, AWS DMS, or similar CDC solutions - Experience setting up and managing infrastructure for dbt Core, including deployment automation, testing frameworks, and orchestration integration

- Knowledge of containerization (Docker) and infrastructure as code (Terraform, CloudFormation) - Experience with cloud platforms (AWS, Azure, GCP) - Knowledge of data governance and security best practices

- Experience orchestrating workflows with Apache Airflow or similar tools - Working knowledge of Snowflake or similar cloud data warehouses (Redshift, BigQuery) - Understanding of infrastructure requirements for data engineering, including deployment strategies, environment configuration, and resource management

- Design and develop data pipelines using Apache Airflow to orchestrate complex workflows and ensure reliable data delivery - Build and maintain transformation logic using dbt Core, supporting the infrastructure needed, implementing best practices for modular, tested, and documented analytics code - Develop and optimize data models in Snowflake, leveraging cloud data warehouse capabilities for performance and cost efficiency

- Proficiency in Python for data engineering tasks, scripting, and automation - Hands-on experience with dbt (Core or Cloud) for data transformation and modeling - Experience orchestrating workflows with Apache Airflow or similar tools

- Experience with data replication tools such as Qlik Replicate, Fivetran, AWS DMS, or similar CDC solutions - Experience setting up and managing infrastructure for dbt Core, including deployment automation, testing frameworks, and orchestration integration - Knowledge of real-time data streaming and event-driven architectures

- Knowledge of real-time data streaming and event-driven architectures - Knowledge of containerization (Docker) and infrastructure as code (Terraform, CloudFormation) - Experience with cloud platforms (AWS, Azure, GCP)

- Build and maintain transformation logic using dbt Core, supporting the infrastructure needed, implementing best practices for modular, tested, and documented analytics code - Develop and optimize data models in Snowflake, leveraging cloud data warehouse capabilities for performance and cost efficiency - Write complex SQL for data transformation, quality validation, and business logic implementation

- Document data pipelines, models, and processes for knowledge sharing - Optimize query performance and manage Snowflake resource utilization - Participate in code reviews and contribute to data engineering best practices

Tasks/Responsibilities - Design and develop data pipelines using Apache Airflow to orchestrate complex workflows and ensure reliable data delivery - Build and maintain transformation logic using dbt Core, supporting the infrastructure needed, implementing best practices for modular, tested, and documented analytics code

- Hands-on experience with dbt (Core or Cloud) for data transformation and modeling - Experience orchestrating workflows with Apache Airflow or similar tools - Working knowledge of Snowflake or similar cloud data warehouses (Redshift, BigQuery)

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Has Arch Capital Group posted this job before?

Yes. We’ve followed one other Data Engineer - Level I (MS) job there since November 2026. It is still up.

Phl-ManilaStill up after 2 days, first seen Nov 2
This jobUp 2 days so far, first seen Nov 2

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

This position develops, implements, and maintains software solutions that enable business operations to realise company goals & objectives. The incumbent performs analysis, design, coding, debugging, testing, and support of software application systems. He/she may be assigned to develop new applications, enhance existing applications and/or provide production support. The incumbent works independently on projects of moderate scope or complexity and receives detailed instructions on new and/or more complex assignments.

Tasks/Responsibilities

Design and develop data pipelines using Apache Airflow to orchestrate complex workflows and ensure reliable data delivery
Build and maintain transformation logic using dbt Core, supporting the infrastructure needed, implementing best practices for modular, tested, and documented analytics code
Develop and optimize data models in Snowflake, leveraging cloud data warehouse capabilities for performance and cost efficiency
Write complex SQL for data transformation, quality validation, and business logic implementation
Collaborate closely with the infrastructure team to ensure the data platform remains modern, well-monitored, and fully optimized, with industry best practices consistently applied
Collaborate with analytics and business teams to understand requirements and translate them into scalable data solutions
Implement data quality checks, monitoring, and alerting to ensure data reliability
Document data pipelines, models, and processes for knowledge sharing
Optimize query performance and manage Snowflake resource utilization
Participate in code reviews and contribute to data engineering best practices

Requirements Skills/Experience

3+ years of experience in data engineering or related role

Strong proficiency in SQL with experience writing complex queries, CTEs, and window functions

Proficiency in Python for data engineering tasks, scripting, and automation

Hands-on experience with dbt (Core or Cloud) for data transformation and modeling

Experience orchestrating workflows with Apache Airflow or similar tools

Working knowledge of Snowflake or similar cloud data warehouses (Redshift, BigQuery)

Understanding of infrastructure requirements for data engineering, including deployment strategies, environment configuration, and resource management

Understanding of dimensional modeling and data warehouse design patterns

Experience with version control (Git) and CI/CD practices

Strong problem-solving skills and attention to data quality

Desired Skills:

Experience with data replication tools such as Qlik Replicate, Fivetran, AWS DMS, or similar CDC solutions
Experience setting up and managing infrastructure for dbt Core, including deployment automation, testing frameworks, and orchestration integration
Knowledge of real-time data streaming and event-driven architectures
Knowledge of containerization (Docker) and infrastructure as code (Terraform, CloudFormation)
Experience with cloud platforms (AWS, Azure, GCP)
Knowledge of data governance and security best practices
Familiarity with DataOps practices and testing frameworks
Understanding of software engineering principles and agile methodologies

Education

Required knowledge and skills would typically be acquired through a Bachelors degree in computer science, business, or related field

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

10400 Arch Global Services (Philippines) Inc.

Source details

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