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Senior Data Engineer - Product

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 reusable, scalable data solutions on a Lakehouse platform

  • Build and maintain batch pipelines using DBT, Airflow, Snowflake, Databricks and AWS

  • Develop real-time pipelines with Apache Kafka and Apache Flink

  • Build and optimise Apache Iceberg tables, including schema and partitioning

  • Connect data from SaaS, APIs, direct connections and streaming sources

From the employer’s posting
Design and build re-usable, scalable data solutions and assets on a modern Lakehouse platform
Build and maintain robust, reliable pipelines using DBT, Apache Airflow, Snowflake, Databricks and AWS services.
Develop real-time data pipelines using Apache Kafka and Apache Flink
Build and optimise open Lakehouse table formats such as Apache Iceberg, managing schema evolution, partitioning, and performance.
Connect to a wide variety of internal and external sources via multiple methods (SaaS solutions, APIs, direct connections, streaming) on cloud architecture.
Apply at CoStar

Posting record

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Open 3 monthsWe first saw this posting 114 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 13, 2026114 days ago
Recorded sightings
328
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 114

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

CoStar is hiring

25 open jobs

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

  • Data Engineer hiring has slowed
  • 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
  • Databricks
  • dbt
  • Iceberg
  • Kafka
  • Snowflake
  • Terraform
  • Airflow
Where the posting names them
Essential: * At least 5+ years of hands-on commercial experience in software or data engineering. * 4+ years of strong development experience in SQL and Python. * Proven experience with data integration and orchestration tools, including Apache Airflow, DBT, and AWS Glue. * Expert on some of the modern cloud data platforms and architectures, such as Snowflake, Databricks, and Lakehouse architecture * Experience designing and building data solutions on AWS cloud infrastructure. * Experience working with semi-structured and unstructured data. * Strong data modelling skills with the ability to evolve models in an agile environment. * Hands-on experience building streaming and real-time pipelines with Apache Kafka and Apache Flink. * Knowledge of infrastructure-as-code tools such as CDK, CloudFormation, or Terraform. * Degree in computer science, engineering, mathematics, statistics, or a related technical field What’s In It For You?
What you’ll do * Solution Design: Design and build re-usable, scalable data solutions and assets on a modern Lakehouse platform across a constantly evolving landscape of products and internal data teams. * Pipeline Development: Build and maintain robust, reliable pipelines using DBT, Apache Airflow, Snowflake, Databricks and AWS services. * Streaming & Real-Time: Develop real-time data pipelines using Apache Kafka and Apache Flink to support low-latency, event-driven use cases. * Data Integration: Connect to a wide variety of internal and external sources via multiple methods (SaaS solutions, APIs, direct connections, streaming) on cloud architecture. * Cloud Data Architecture: Architect and implement data solutions on AWS, Snowflake and Databricks, applying best practices for cloud-native data warehousing and cost-efficiency. * Lakehouse Architecture: Build and optimise open Lakehouse table formats such as Apache Iceberg, managing schema evolution, partitioning, and performance. * Modern Data Modelling: Apply modern data modelling practices that evolve with the business in an agile environment. * Performance & Cost: Write and optimise complex SQL and Spark workloads to keep solutions efficient in both time and cost. * Data quality and governance * Cross-functional Partnership: Work closely with data scientists, analysts, product managers, and engineers across the Domain Group to deliver data solutions that drive business value. * Continuous Improvement: Challenge the status quo — proactively identify opportunities to improve data processes, reduce costs, and increase reliability. Essential:

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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 - Product
Job Description
Exciting opportunity for a Senior Data Engineer to join Domain – CoStar in a period of great opportunity and growth. You will have a direct impact on the continued success of Domain-CoStar in the APAC region. Leveraging the largest reality data sets in the local market, to enhance Domain-CoStar’s product service offering and refine internal business practices. The purpose of this role is to build data platform capabilities for batch and streaming pipelines on our Lakehouse and develop data assets that serve as the source and authority for data-driven decisions and analytics used across the business. You will design, develop and operate a data platform and data pipelines which serve Domain’s products and internal data teams like data product, data science, data analytics and ML/AI. What you’ll do * Solution Design: Design and build re-usable, scalable data solutions and assets on a modern Lakehouse platform across a constantly evolving landscape of products and internal data teams. * Pipeline Development: Build and maintain robust, reliable pipelines using DBT, Apache Airflow, Snowflake, Databricks and AWS services. * Streaming & Real-Time: Develop real-time data pipelines using Apache Kafka and Apache Flink to support low-latency, event-driven use cases. * Data Integration: Connect to a wide variety of internal and external sources via multiple methods (SaaS solutions, APIs, direct connections, streaming) on cloud architecture. * Cloud Data Architecture: Architect and implement data solutions on AWS, Snowflake and Databricks, applying best practices for cloud-native data warehousing and cost-efficiency. * Lakehouse Architecture: Build and optimise open Lakehouse table formats such as Apache Iceberg, managing schema evolution, partitioning, and performance. * Modern Data Modelling: Apply modern data modelling practices that evolve with the business in an agile environment. * Performance & Cost: Write and optimise complex SQL and Spark workloads to keep solutions efficient in both time and cost. * Data quality and governance * Cross-functional Partnership: Work closely with data scientists, analysts, product managers, and engineers across the Domain Group to deliver data solutions that drive business value. * Continuous Improvement: Challenge the status quo — proactively identify opportunities to improve data processes, reduce costs, and increase reliability. Essential: * At least 5+ years of hands-on commercial experience in software or data engineering. * 4+ years of strong development experience in SQL and Python. * Proven experience with data integration and orchestration tools, including Apache Airflow, DBT, and AWS Glue. * Expert on some of the modern cloud data platforms and architectures, such as Snowflake, Databricks, and Lakehouse architecture * Experience designing and building data solutions on AWS cloud infrastructure. * Experience working with semi-structured and unstructured data. * Strong data modelling skills with the ability to evolve models in an agile environment. * Hands-on experience building streaming and real-time pipelines with Apache Kafka and Apache Flink. * Knowledge of infrastructure-as-code tools such as CDK, CloudFormation, or Terraform. * Degree in computer science, engineering, mathematics, statistics, or a related technical field What’s In It For You? Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines. We offer you generous compensation and performance-based incentives. As well as having an outstanding working environment, other perks include extra days of annual leave, leadership development programs, LinkedIn Learning, Perkbox discounts and much more! At CoStar, we recognise the positive value of diversity and promote equality. We aim at all times to recruit the person who is most suited to the job and welcome applications from people of all backgrounds including but not limited to; people of all genders, of all ages, sexual orientations, ethnicities, nationalities, religions and beliefs. About Domain (part of the CoStar Group) Domain is a leading property technology and services marketplace that is home to one of the largest portfolios of property brands in Australia, including the Domain, Allhomes and Commercial Real Estate (CRE) platforms. In 2025, Domain became part of CoStar Group - a global leader in commercial real estate information, analytics, online marketplaces and 3D digital twin technology. We are dedicated to digitising the world’s real estate, empowering all people to discover properties, insights, and connections that improve their businesses and lives. Equity, Diversity & Inclusion Domain is enthusiastically and unapologetically committed to fostering an equitable, inclusive work culture which reflects our customers and communities. We are proactively looking for candidates from all lived experiences, including people with disability, and people of all ages, ethnicities, cultures (including Aboriginal and Torres Strait Islander Peoples), faiths, sexual orientations, and gender identities (including trans and non-binary people). We are committed to providing an equitable recruitment process for people with disability. If you require adjustments during the process we’re here to support. If you wish to receive this job advertisement in an accessible format, or have a confidential chat about workplace adjustments, please contact our Equity, Diversity and Inclusion team at edi@domain.com.au or leave a message on 1300 858 356 and we will get back to you.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
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Pyrmont, NSW, AU

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