RingCentral

Senior Data Engineer

Manila, Philippines

Actively hiring, first seen by us 4 days 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 build ETL pipelines for large datasets with daily reporting needs
Validate datasets for errors before handing them to analysts
Write and tune complex SQL for recurring and ad-hoc reports on Hadoop and Snowflake
Administer the automation framework on Linux servers, including deployments and production support
Optimize ETL workflows for high query performance and efficiency

From the employer’s posting

Design and build effective ETL pipelines for large datasets, ensuring data is accurate, up to date, and ready for daily reporting

Validate datasets for consistency and errors before handing them over to analysts for reporting

writing and tuning complex SQL queries for recurring and ad-hoc reports using Hadoop (Hive, Impala), Snowflake, and various source systems

Administer and maintain the automation framework deployed on Linux servers and managed in Git, including deployments, upgrades, troubleshooting, and production support

optimizing new and existing workflows for high query performance and efficiency

Apply at RingCentral

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20264 days ago
Recorded sightings: 5
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 4

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.

RingCentral is hiring

9 open jobs

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

Hiring is picking up
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
Hadoop
Hive
Snowflake

Where the posting names them

- Tech Stack: Strong SQL skills, with the ability to write complex queries involving multiple tables and systems. Experience with Hive, Impala, and SnowSQL is a plus. - Core Skill: Proven experience in designing, creating, and optimizing ETL frameworks. Familiarity with Alteryx and Python is a plus. - Automation and Deployment: Hands-on experience with Linux and Git, including supporting and troubleshooting automation frameworks in production.

- Validate datasets for consistency and errors before handing them over to analysts for reporting. - Support the Data Analytics team by writing and tuning complex SQL queries for recurring and ad-hoc reports using Hadoop (Hive, Impala), Snowflake, and various source systems. - Manage the full ETL lifecycle, optimizing new and existing workflows for high query performance and efficiency.

- Experience: 3+ years of experience in a Data Engineering position. - Tech Stack: Strong SQL skills, with the ability to write complex queries involving multiple tables and systems. Experience with Hive, Impala, and SnowSQL is a plus. - Core Skill: Proven experience in designing, creating, and optimizing ETL frameworks. Familiarity with Alteryx and Python is a plus.

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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 ↗

Senior Data Engineer

Say hello to opportunities.

If you’re looking to be part of what’s next in communication, you’re in the right place.

At RingCentral, we believe the best customer experiences happen when humans and AI work together. Our agentic voice AI portfolio—AIR, AVA, and ACE—brings together automation, assistance, and insights across the entire conversation lifecycle. The result? More seamless, intelligent experiences for businesses everywhere.

With $2.5B+ in ARR and $250M invested in R&D annually, we’re building the future of AI-powered business communications

Responsibilities

Design and build effective ETL pipelines for large datasets, ensuring data is accurate, up to date, and ready for daily reporting.
Validate datasets for consistency and errors before handing them over to analysts for reporting.
Support the Data Analytics team by writing and tuning complex SQL queries for recurring and ad-hoc reports using Hadoop (Hive, Impala), Snowflake, and various source systems.
Manage the full ETL lifecycle, optimizing new and existing workflows for high query performance and efficiency.
Administer and maintain the automation framework deployed on Linux servers and managed in Git, including deployments, upgrades, troubleshooting, and production support.
Use AI tools such as Claude and Gemini in day-to-day engineering work, including managing the automation framework with Claude Code.
Collaborate cross-functionally with Data Engineers, Data Analysts, the Data Warehouse team, and business stakeholders to translate business requirements into technical data solutions.

What We’re Looking For

Experience: 3+ years of experience in a Data Engineering position.
Tech Stack: Strong SQL skills, with the ability to write complex queries involving multiple tables and systems. Experience with Hive, Impala, and SnowSQL is a plus.
Core Skill: Proven experience in designing, creating, and optimizing ETL frameworks. Familiarity with Alteryx and Python is a plus.
Automation and Deployment: Hands-on experience with Linux and Git, including supporting and troubleshooting automation frameworks in production.
AI Tools: Comfortable working with AI tools such as Claude and Gemini, and familiar with managing an automation framework using Claude Code.
Problem Solving: Demonstrated ability to build processes that meet complex requirements, including finding creative workarounds when necessary.
Attitude: A positive mindset and a strong willingness to expand your knowledge into Data

RingCentral’s work culture is the backbone of our success. And don’t just take our word for it: we are recognized as a Best Place to Work by BuiltIn, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success.

About RingCentral/Acquire Intelligence

RingCentral is a global leader in agentic voice AI–powered business communications, delivering an integrated platform for business phone, SMS, contact center, workforce engagement management, video collaboration, and messaging. As the communications layer connecting businesses and customers, RingCentral is the front door of business communication and is in the advantageous position to apply AI at every phase of the conversation journey — before, during, and after each interaction. Our agentic AI portfolio includes autonomous voice-first AI agents that automate calls, assist in the moment, and analyze every interaction – enabling businesses to work smarter, respond faster, and connect more meaningfully with their customers. Visit ringcentral.com to learn more.

RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process. If you require such accommodations, please click on the following link to learn more about how we can assist you.

Acquire Intelligence transforms the way companies grow and operate by combining intelligent global outsourcing with AI consulting and implementation to accelerate growth and transform business at scale.

We eliminate inefficiencies, automate with intent, and reallocate work to where it performs best. With 9,000 employees across Australia, the Philippines, the Dominican Republic, and the United States, we provide secure and scalable solutions in customer experience, back office, and digital operations.

Founded in 2006, Acquire offers flexible delivery models ranging from building Remote Teams to comprehensive outsourcing in both onshore and offshore locations. Our AI division accelerates

transformation with automation strategies that deliver guaranteed ROI. All solutions are backed by deep expertise and enterprise grade compliance.

At Acquire Intelligence, we are Safe, Flexible, and Innovative. We deliver transformation with intent, impact, and entrepreneurial energy.

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