{"id":1173662,"url":"https://alion.io/job/xtremax-data-engineer-aws-data-lakehouse-public-sector","title":"Data Engineer - AWS Data Lakehouse (Public Sector)","company":{"id":3414,"name":"Xtremax","domain":"xtremax.com","url":"https://alion.io/company/xtremax-pte-ltd","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":91,"open_postings":37,"ghost_share":0,"stale_share":0.162,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":176000,"period":"year","method":null,"sample_n":2817},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-24T09:44:33Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T23:26:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Xtremax, we are looking for a Data Engineer to design and build a scalable data lakehouse platform on AWS. You will work across data architecture, pipeline engineering, data quality, governance, and cloud deployment to deliver production-ready solutions that form the foundation of a modern data platform.\nThis role is suited to an experienced data engineer who enjoys solving complex data engineering challenges at scale. You will work hands-on with AWS services such as Glue, Step Functions, Lambda, and S3, while applying modern lakehouse technologies including Apache Iceberg or S3 Tables. You will also contribute to automated data quality frameworks, CI/CD, infrastructure as code, and production deployments.\nYou will collaborate with cross-functional teams to translate technical designs into reliable solutions, communicate architecture clearly to non-technical stakeholders, and produce documentation that enables a smooth transition to Day 2 operations.\nResponsibilities\nDesign and implement scalable ETL/ELT pipelines using AWS Glue, Step Functions, Lambda, S3, and related AWS services\nArchitect and build data lakehouse solutions using Apache Iceberg or S3 Tables, including schema evolution, partition evolution, and ACID transactions\nOptimise data pipelines and lakehouse workloads for performance, cost efficiency, scalability, and reliability\nDesign and implement automated data quality validation frameworks covering data accuracy, completeness, consistency, and related quality metrics\nEstablish data quality monitoring and governance practices across the data platform\nDevelop production-quality code and deploy reliable data solutions on AWS\nBuild and maintain CI/CD pipelines and infrastructure-as-code using tools such as Terraform or CloudFormation\nApply DevOps practices to make cloud deployments repeatable, consistent, and auditable\nWork closely with cross-functional teams and communicate technical architecture and design decisions to non-technical stakeholders\nProduce clear technical documentation and support the handover of solutions to the Day 2 operations team\nRequirements\nDegree in Computer Science, Data Engineering, Information Systems, or a related discipline\nAt least 8 years of experience in data engineering, ETL/ELT development, or data platform roles\nStrong hands-on experience designing and building data solutions on AWS\nStrong experience with AWS services such as Glue, Step Functions, Lambda, and S3\nHands-on experience with Apache Iceberg or similar open table formats\nStrong understanding of modern data lakehouse architecture and concepts\nExperience designing scalable and reliable data pipelines\nStrong understanding of data quality, validation, monitoring, and governance practices\nExperience writing production-quality code and deploying applications on cloud infrastructure\nExperience with CI/CD and infrastructure-as-code practices\nStrong understanding of Apache Iceberg capabilities and/or S3 table optimisation techniques\nStrong communication skills, with the ability to explain technical concepts to non-technical stakeholders\nPreferred\nExperience working in a Government Commercial Cloud (GCC) environment\nAWS Certified Data Analytics certification\nAWS Certified Solutions Architect certification\nExperience with Terraform or CloudFormation\nExperience designing data platforms for large-scale production environments\nBenefits\nBy submitting your resume/CV, you consent and agree to allow the information provided to be used and processed by or on behalf of Xtremax Pte Ltd for purposes related to your registration of interest in current or future employment with us and for the processing of your application for employment.\nYou also represent to us that you have obtained the consent of your referees when you disclose to us their personal data for the purpose of conducting reference checks.\nThe personal data held by us relating to your application will be kept strictly confidential and in accordance with the PDPA. You may also refer to our Privacy Policy for more details here:\nWe regret to inform you that should you not consent to providing the necessary data required for us to process your application, your application will be considered void.","description_format":"text","description_chars":4219,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Government","Information Technology","Cloud Computing","Digital Government"],"lifecycle":[{"event":"open","at":"2026-09-24T09:44:33Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":65,"reasons":["conf:0","win:early"],"computed_at":"2026-09-25T00:19:02Z"},"pay":null,"html_url":"https://alion.io/job/xtremax-data-engineer-aws-data-lakehouse-public-sector","json_url":"https://alion.io/job/xtremax-data-engineer-aws-data-lakehouse-public-sector.json","meta":{"generated_at":"2026-09-25T00:19:02Z","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":311,"day_limit":5000,"remaining_today":4689,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}