Senior Data Engineer
Bangun dan optimalkan infrastruktur data besar untuk mendukung keputusan bisnis
Sebagai Data Engineer di Abridge, Anda akan membangun dan memelihara layanan data, pipeline, dan solusi penyimpanan yang dapat diskalakan. Anda akan bekerja sama dengan tim frontend, backend, product managers, dan analis untuk meningkatkan throughput, latensi, dan keterandalan sistem data. Abridge menggunakan AI untuk mengubah percakapan pasien-dokter menjadi catatan klinis terstruktur secara real-time.
Kenapa Menarik?
Bergabung dengan tim yang inovatif di bidang AI untuk kesehatan dan berkontribusi pada standar industri.
Tanggung Jawab Utama
- Bangun dan perbaiki layanan data, pipeline, dan penyimpanan yang dapat diskalakan untuk pengembangan dan evaluasi ML
- Bangun dan kelola database OLAP, ELT, dan alat data untuk analisis dan keputusan bisnis
- Kerja sama dengan tim frontend, backend, product managers, dan analis
- Optimalkan infrastruktur data untuk meningkatkan throughput, latensi, dan keterandalan sistem data
- Temukan dan perbaiki masalah yang ditemukan melalui monitor, alat, dan laporan operasi data
- Rancang integrasi data dan kerangka kerja kualitas data
Persyaratan
- Pernah bekerja sebagai Data Engineer atau Backend Engineer selama 8+ tahun
- Mampu menggunakan bahasa pemrograman umum (Python, Java, Scala) dan SQL
- Pengalaman dengan cloud provider modern (GCP, AWS, Azure) dan layanan data yang sesuai
- Pengalaman dalam membangun sistem yang mengelola pengambilan, transformasi, dan penyimpanan data
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Overlap minimal — jam kerja berlawanan
Keywords
Lihat Deskripsi Asli dari Ashby Job Boards
Deskripsi asli dari Ashby Job Boards
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Our generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Data Engineer to join our growing US-based Data Engineering team. In this crucial role, you will build and optimize large scale data infrastructure to drive business decisions and machine learning research. WHAT YOU’LL DO - Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes. - Build and manage OLAP databases, ELTs and general data tooling for analytics , business decisions and products features. - Work closely with a team of frontend and backend engineers, product managers, and analysts. - Optimize data infrastructure to enhance the throughput, latency and reliability of the data system. - Investigate and correct issues identified through data operations monitors, tools, and reports. - Designs data integrations and data quality framework. WHAT YOU’LL BRING - 8+ years of experience in Data Engineering or Backend Engineering with a focus on data systems. - Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant) - Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services - Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types - Deep knowledge of modern data infrastructure best practices - Experience with distributed systems and different distributed processing frameworks - Experience with Terraform, Kubernetes, and containerization technologies. - Familiarity with the deploying ML models at scale a bonus - Experience in building data products that are well-modeled, documented and easy to understand and maintain. - Ability to prioritize amidst changing priorities in a fast moving environment WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Akun gratis · tanpa kartu kredit · Masuk
Pro Rp39rb/bln · lamar tanpa batas + resume AI
Rekrut di US saja
Pemberi kerja ini sepertinya hanya merekrut di wilayah di atas. Pastikan kamu memenuhi syarat direkrut dari Indonesia sebelum melamar.
Pertanyaan yang sering diajukan
- Apakah Senior Data Engineer di Abridge bisa dikerjakan remote?
- Posisi ini berlokasi di Remote. Detail remote/onsite ada di deskripsi lowongan.
- Berapa gaji untuk Senior Data Engineer di Abridge?
- Rentang gaji yang tercantum untuk posisi ini adalah $210.8k–248k/yr.
- Jenis pekerjaan apa Senior Data Engineer di Abridge?
- Posisi ini adalah pekerjaan full time.
- Bagaimana cara melamar?
- Klik tombol "Lamar" pada halaman ini untuk menuju halaman aplikasi resmi Abridge.
Jelajahi lebih lanjut
Data & laporan pasar
Riset gaji & permintaan skill dari data lowongan kami sendiri.
- Lowongan IT Indonesia vs Remote Global (2026)Analisis data primer 2.049 lowongan: metodologi, klasifikasi, dataset bisa diunduh.
- Permintaan Skill AI: Indonesia vs Global (2026)10.000+ lowongan, classifier taxonomy-first, Wilson CI, pra-registrasi sebelum analisis.
- Laporan Hiring Indonesia: Tech vs Non-TechPermintaan lowongan per bidang dari hitungan agregat — bukan listing per-listing.
- Benchmark Gaji IndonesiaKisaran gaji agregat lintas peran, dengan metodologi dan dataset terbuka.
- Laporan Kuartalan Pasar Kerja IndonesiaPHK, pendanaan, gaji & skill per kuartal — agregat terbuka.
- Laporan Pasar Remote per PeranLaporan otomatis per kelompok peran — skill, senioritas, perusahaan, gaji.
- Benchmark Gaji Remote GlobalGaji tahunan per bidang & mata uang, plus porsi lowongan terbuka untuk seluruh dunia.
Dari blog kami
- Tren Lowongan Juli 2026: Security Engineer 🚀Analisis tren lowongan remote Juli 2026: permintaan Security Engineer meningkat. Gaji & skill yang dicari? Cek di sini!
- Gaji Senior Tech Role Remote 2026Analisis mendalam range gaji 7 senior tech role remote dari Vercel, Airbnb, Stripe hingga Notion. Bandingkan dengan pasar lokal dan strategi negosiasi.
- Playlist PHK Masuk QueueAnalisis gelombang PHK teknologi Juni 2026: sektor mana yang masih hiring, strategi bertahan, dan 7 lowongan remote yang tetap terbuka.
Akun gratis · tanpa kartu kredit · Masuk
Pro Rp39rb/bln · lamar tanpa batas + resume AI