{"id":51286,"url":"https://alion.io/job/rea-group-senior-data-engineer","title":"Senior Data Engineer","company":{"id":11737,"name":"REA Group","domain":"rea-group.com","url":"https://alion.io/company/rea-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Richmond, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":204000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-07-31T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-01T05:51:12Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Collaborate with a talented, passionate team on high-impact property data products!\nMentor others and help lift data engineering practice in a supportive environment!\nPermanent role based in Richmond\nWe're REA\nWith bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.\nOur people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to have been named one of Australia’s Best Workplaces four times since 2021 - including third place in 2025 - plus Best Workplace for Women in 2023 and Best Workplace in Technology in 2024 and 2025. These listings are testament to every person who helps make REA a great place to work.\nWhere the team fits in\nThis role sits within PropTrack. PropTrack provides property data and technical platform solutions to customers in the financial and government sectors. The Engineering Team within PropTrack works together to deliver solutions to our internal and external customers. It is the core delivery centre for developing solutions to meet customer priorities and align with PropTrack's technology strategy.\nWithin PropTrack, this Senior Data Engineer role is part of the Core Property Data (CPD) team. CPD is responsible for building and operating property-centric data platforms and APIs that power a wide range of internal products and external data solutions across REA and PropTrack, with a particular focus on Prime, our next-generation property data platform.\nWhat the role is all about\nDesigning, building and maintaining data pipelines, models and APIs across ingestion, transformation and consumption layers.\nContribute to and lead technical design and architecture discussions, helping shape how our data, property datasets and APIs evolve to support current and future use cases.\nWorking with technologies such as Airflow/Breeze, BigQuery, Kafka and modern backend languages (e.g. TypeScript/Node, Python) to deliver accurate, timely and reliable property data.\nEnhancing existing products, including resolving data quality issues, improving performance and implementing scalable patterns.\nSupporting production systems by contributing to monitoring, observability, automation and operational best practices.\nEnsuring the reliability, security and resilience of our systems in line with REA’s “you build it, you run it” philosophy.\nCollaborating with engineers, analysts and product managers to understand requirements and design high-quality, user-centred solutions.\nProvide technical guidance and mentoring to other engineers in your squad, lifting engineering practices and supporting less experienced team members.\nWho we’re looking for\nStrong API experience required in owning, building and integrating APIs\n5+ years of hands on experience in the industry, with experience in data engineering and full stack software engineering, with a focus on data intensive systems at scale.\nExperience in platform engineering is highly beneficial.\nYou will be comfortable participating in software engineering practices like code pairing and code reviews/PRs\nStrong programming skills in at least one modern language (e.g. TypeScript/Node.js, Python), plus strong SQL capability for analytical and production workloads.\nProven experience building and maintaining data pipelines and data models using tools such as Airflow/Breeze and BigQuery, or equivalent orchestration and warehouse technologies.\nSolid understanding of data modelling, data quality and data governance practices, and how to apply them in large scale property or transactional data environments.\nExperience working with cloud platforms (GCP and/or AWS) and DevOps concepts such as Docker, CI/CD and infrastructure as code (e.g. Terraform, CDK, CloudFormation).\nDemonstrated ability to diagnose and resolve data quality issues, performance problems and production incidents in distributed data systems.\nAbility to communicate and collaborate effectively with engineers, analysts, product managers and other stakeholders as required.\nA curious, pragmatic mindset with a passion for building reliable, scalable data solutions that deliver real value for customers and internal teams.\nThe REA experience\nThe physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.\nSome of ourPerks & Benefitsinclude:\nA hybrid and flexible approach to working\nFlexible leave options including, birthday leave and purchase additional leave\nFlexible parental leave offering for primary and secondary carers\nOur Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity\nHackdays so you can bring your big ideas to life \nOur commitment to Diversity, Equity, and Inclusion\nWe are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.\nJoin our Talent Neighbourhood\nKeen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood!","description_format":"text","description_chars":5677,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["PropTech","Real Estate Brokerage"],"lifecycle":[{"event":"open","at":"2026-07-31T00:00:00Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.528,"p_room":0.28,"age_days":62,"expected_fill_days":28,"reasons":["conf:70","velocity","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rea-group-senior-data-engineer","json_url":"https://alion.io/job/rea-group-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T21:16:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3897,"day_limit":5000,"remaining_today":1103,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}