staff data engineer

HCA Healthcare

<div><h5 class="jobSectionHeader">This is our story</h5>
Born from our Care Transformation and Innovation team, DT&amp;I was created to expand HCA Healthcare&rsquo;s digital and AI strategy. We&rsquo;re building intelligent systems, enhancing workflows, and driving innovation across a nationwide network. If you&rsquo;re ready to build technology that saves lives and improves care, your future starts here.<h5 class="jobSectionHeader">
What you will accomplish in this role</h5>
Job Summary 
<div><div>The Staff Data Engineer is responsible for design, development, testing, implementation, documentation, and maintenance of NextGen solutions for the Google Cloud Platform (GCP) Cloud Data Office initiatives. This role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires being well-informed of technological advancements and proficiency placing new innovations into effective practice. 
 
As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems. 
 
In addition, this position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of successful project accomplishments in a fast-paced, mixed team (consultant and employee) environment. 
 
The primary responsibility of this position is to implement and scale best practices of processing multimodal data including images, documents, unstructured text, and sensor data. Experience with multimodal data is a must for this role and should be demonstrated through prior projects. 
</div></div> 
 
What You'll Do:<ul><li>
Develop, maintain, and optimize streaming, near real-time, and batch GCP data pipelines for enterprise-wise analysis of structured, semi-structured, and unstructured data.</li><li>
Collaborate closely with the Lead Architect and Product Owner to define, design, and build new features and improve existing data products.</li><li>
Lead, contribute, and participate in peer code reviews.</li><li>
Participate in on-call support rotation.</li><li>
Adhere to established development guidelines.</li><li>
Translate business requirements into technical design specifications.</li><li>
Mentor other Data Engineer colleagues.</li><li>
Work with Project Managers to estimate, establish, and meet target dates.</li><li>
Work independently, and complete tasks on-schedule by exercising strong judgment and critical thinking skills.</li><li>
Create and maintain technical documentation, including source-to-target mappings, job scheduling and dependency details, and business-driven transformation rules.</li><li>
Lead and participate in the deployment, change, configuration, management, administration, and maintenance of deployment processes and systems.</li><li>
Lead and contribute to technical group discussions to adopt innovative technologies, improve development practices, and reduce technical debt.</li><li>
Parse and structure multimodal datasets using AI and other cloud services</li></ul>
<h6 class="jobSectionHeader">What qualifications you will need:</h6><ul><li>
Bachelor's degree preferred</li><li>
7+ years of experience in Data Warehouse ETL/ELT Data Engineering required</li><li>
3+ years of experience in Google Cloud Platform (GCP) Data Engineering preferred
</li><li>3+ years of experience in Healthcare IT preferred</li><li>
Experience with Google Cloud Storage (GCS), BigQuery, and Cloud Composer (Airflow), Cloud Functions, Dataflow, and Dataproc GCP services.</li><li>
Experience writing optimized BigQuery SQL transformation queries and scripts.</li><li>
Experience with raw data formats such as JSON, Avro, and Parquet</li><li>
Experience with Oracle, SQL Server, Teradata, and other database platforms.</li><li>
Experience writing and maintaining Unix/Linux and Python scripts.</li><li>
Experience with GitHub source control and CI/CD workflows.</li><li>
Knowledge of issue tracking tools such as Jira and ServiceNow.</li><li>
Ability to troubleshoot, maintain, reverse engineer, and optimize existing data pipelines.</li><li>
Ability to analyze and interpret complex data and offer solutions to complex problems.</li><li>
Ability to work independently on assigned tasks.</li><li>
Strong written and verbal communication skills, including the ability to explain complex technical issues in a way that non-technical people may understand.</li><li>
Excellent problem-solving and critical thinking skills.</li><li>
Hands on experience parsing documents and storing data in a structured format
</li><li>Experience with unstructured data
</li><li>Knowledge of IT governance and operations.</li></ul> 
 
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Staff Data Engineer today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Staff Data Engineer

<div><h5 class="jobSectionHeader">This is OUR story... and YOUR next chapter</h5>
At HCA Healthcare, our Digital Transformation and Innovation (DT&amp;I) team is redefining what&rsquo;s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&amp;I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters<h5 class="jobSectionHeader">
What you will accomplish in this role</h5>
Job Summary
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems. 
What you will do:
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.
At HCA DT&amp;I, your deliverables will influence patient care. Every process, technology, and decision matters. This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.
<ul><li>Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements but can gracefully scale.</li><li>
Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing data.</li><li>
Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.</li><li>
Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.</li><li>
Design and create APIs that accelerate the time from idea to insight.</li><li>
Adheres to and supports API best practices, processes, and standards.</li><li>
Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.</li><li>
Helps promote and support data security best practices that align with industry standards and regulatory and legal requirements.</li><li>
Help mentor team members on complex data projects and following the Agile process.</li><li>
Help lead data analysis efforts and solution proposals to data related and data architecture problems.</li><li>
Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.</li><li>
Be a leader in the HCA data community. Evangelize data engineering best practices and standards, participate, or present at community events, and encourage the continual growth and development of others.</li><li>
Be curious. Be growth minded. Encourage and enable this in others.</li><li>
Demonstrate professional and personal maturity through self-leadership.</li><li>
Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.</li><li>
Practices and adheres to the &ldquo;Code of Conduct&rdquo; philosophy and &ldquo;Mission and Value Statement.&rdquo;</li><li>
Perform other duties as assigned.</li><li>
Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
</li><li>Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.</li><li>
Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.</li><li>
Proven experience effectively prioritizing workload to meet deadlines and work objectives.</li><li>
Works in an environment with rapidly changing business requirements and priorities</li><li>
Shares knowledge and experience to contribute to growth of overall team capabilities.</li>
Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations. 
<li>
</li></ul> 
<h6 class="jobSectionHeader">What qualifications you will need:</h6>
A successful candidate will have:<ul><li>
Bachelor's degree in computer science, related technical field, or equivalent experience preferred</li><li>
Master's degree in computer science or related field preferred</li><li>
5+ years of experience in Data Engineer required</li><li>
1+ year(s) of experience in Healthcare preferred</li><li>
7+ years of experience in Information Technology required</li><li>
Strong understanding of best practices and standards for GCP or other cloud platform Data process design and implementation.</li><li>
2+ years hands-on experience with GCP platform and experience with many of the following components:</li></ul><ul><li>Postman, Dynatraceform</li><li>Cloud Run, GKE, Cloud Functions</li><li>Bigtable, Cloud SQL, Cloud Spanner</li><li>BigQuery,Cloud Function</li><li>Cloud Run, CI/CD, Cloud Logging</li><li>Vertex AI, NLP, GitHub</li></ul><ul><li>
4+ Years of hands-on experience with many of the following components:</li></ul><ul><li>APIs</li><li>Spark Streaming, Kafka</li></ul>
SQL, JSON,Avro, Parquet
Java, Python, or Scala
 Certifications (a plus, but not required):<ul><li>
GCP Cloud Professional Data Engineer</li></ul>
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Staff Data Engineer - APIs today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Staff Data Engineer - APIs

Also

<div>About ALSO.
We&rsquo;re ALSO, an electric mobility company originally conceived as a part of Rivian. We&rsquo;re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innovative and delightful) vertically integrated, small EVs designed to meet the global mobility challenges of today and tomorrow. Our mission is to inspire everyone to ride ALSO&mdash;replacing many local car, truck and SUV miles with ones on vehicles that are more affordable, more enjoyable and 10-50x more efficient.
We are looking for a Staff Data Engineer to own the telemetry data platform for vehicle-generated data. This role is for ingestion, infrastructure, and large-scale data processing &mdash; ensuring raw telemetry flows are reliable, scalable, cost-efficient, and analytics-ready.
You will operate at the intersection of data engineering and backend systems, designing pipelines that ingest, process, and serve high-volume, high-velocity vehicle telemetry to downstream analytics, ML, and visualization systems.
This is a platform ownership role, not a dashboarding or reporting position
What You Will Do<ul><li>
Design and own large-scale ingestion pipelines for vehicle telemetry data (events, metrics, time-series) with high throughput and low latency</li><li>
Architect and operate end-to-end ETL/ELT systems from raw ingestion to warehouse/lake consumption</li><li>
Define schema evolution, versioning, and backward-compatibility strategies for telemetry data at scale</li><li>
Build safe and repeatable backfill, replay, and reprocessing mechanisms for historical and real-time data</li><li>
Design data storage and lifecycle strategies across hot, warm, and cold paths to balance cost and performance</li><li>
Develop fault-tolerant, observable, and debuggable pipelines with strong SLAs around freshness, completeness, and latency</li><li>
Implement backend services and APIs for telemetry ingestion, configuration management, metadata, and orchestration</li><li>
Apply strong software engineering practices including object-oriented design, automated testing, CI/CD, and code reviews</li><li>
Establish automated data quality checks, anomaly detection, alerting, lineage, and auditability across the platform</li><li>
Provide technical leadership by setting platform direction, reviewing designs, mentoring engineers, and influencing product and engineering roadmaps</li></ul> 
What You Will Bring<ul><li>
10+ years of experience in data engineering and/or backend platform engineering operating production systems at scale</li><li>
Deep hands-on experience with large-scale telemetry or IoT data, including high-throughput and low-latency ingestion</li><li>
Strong expertise in AWS data and infrastructure services (S3, Kinesis/MSK, Glue, EMR, Lambda, Step Functions, EventBridge)</li><li>
Proven experience owning end-to-end ETL/ELT infrastructure using Spark/PySpark (batch and streaming) on Databricks or EMR</li><li>
Solid understanding of streaming architectures using Kafka or equivalent systems and time-series&ndash;optimized storage patterns</li><li>
Strong backend engineering skills using Python and/or Java/Scala, including API design (REST/gRPC) and distributed systems fundamentals</li><li>
Experience with data platform architectures such as data lakes and lakehouses, schema registries, and metadata systems</li><li>
Hands-on experience with orchestration frameworks (Airflow, MWAA, Dagster) and production-grade observability (logging, metrics, tracing)</li><li>
Infrastructure-as-code expertise using CloudFormation, Terraform, or CDK to manage scalable and reliable systems</li><li>
A track record of building highly reliable, fault-tolerant systems with clear ownership, strong SLAs, and operational excellence</li></ul> 
Nice to Have<ul><li>
Experience with vehicle, sensor, or IoT data</li><li>
Streaming-first architectures</li><li>
Experience supporting real-time inference pipelines</li><li>
Prior Staff or Principal-level ownership of data platforms</li></ul>
Perks &amp; Benefits<ul><li>
Robust health coverage &mdash; excellent health, dental, and vision insurance covered up to 100% by ALSO, with FSA &amp; HSA options</li><li>
One Medical membership and dedicated insurance advocates</li><li>
Rich fertility and family-building benefits with Progyny</li><li>
Flexible time off</li><li>
401(k) match</li></ul>
The salary for this position ranges from $190,000 - $220,000 per year, depending on experience and qualifications.
Why ALSO.
We&rsquo;re passionate about helping the world find a better way to get there&mdash;wherever it is you&rsquo;re headed.
We&rsquo;re located in the heart of Silicon Valley and have brought together a world-class team from some of the biggest brands in the technology, automotive, cycling, outdoor recreation and retail spaces.
Together we&rsquo;re working hands-on to imagine, design and build an entirely new solution to a global set of transportation challenges.</div>

Staff Data Engineer - Vehicle Telemetry and Data Infrastructure

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 This role is part of Agoda&rsquo;s Display &amp; App Marketing engineering team, focused on building and improving large-scale systems that power paid marketing across global advertising channels, including Display Ads and App Install campaigns.
 
 
 Our systems handle high-volume hotel feeds (price, availability, content), image processing for advertisements, advertising platform integrations (Google Ads, Meta, etc.), and data pipelines that support experimentation and optimization.
 
 
 You will work closely with Marketing, Product, and Data teams to deliver reliable, efficient, and scalable engineering solutions, with strong exposure to marketing strategy, experimentation, and real business impact. The team is growing and evolving, giving you the opportunity to shape systems and ways of working end-to-end&mdash;from design and implementation to operational excellence at global scale.
 
 
 
 In this Role, you will get to
 
 
 
 <ul>
 <li>
 Design, build, and operate backend services and data pipelines that support performance marketing use cases, including hotel feeds, ad platform integrations, and experiment data
 </li>
 <li>
 Contribute to technical design discussions and drive implementation of production systems running at scale
 </li>
 <li>
 Take part in the full development lifecycle: design, implementation, testing, deployment, and production support
 </li>
 <li>
 Proactively identify and improve system reliability, scalability, data quality, and operational efficiency
 
 
 </li>
 </ul>
 5 Write clear, maintainable code and actively participate in code reviews and technical discussions
 
 
 <ul>
 <li>
 Collaborate with Product, Marketing, and other Engineering teams to clarify requirements and deliver effective solutions
 </li>
 <li>
 Support and improve the team&rsquo;s engineering standards, including CI/CD, monitoring, and documentation
 </li>
 <li>
 Make technical trade-offs across performance, quality, and cost
 </li>
 <li>
 Participate in hiring, onboarding, and knowledge sharing, in line with your experience and interests
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience)8+ years of experience, with a focus on backend and/or data engineering
 </li>
 <li>
 Strong proficiency in Scala (preferred) or another JVM language (e.g. Java, Kotlin)
 </li>
 <li>
 Strong proficiency in SQL
 </li>
 <li>
 Experience building and operating data processing and pipeline systems, e.g. Spark, Kafka, workflow orchestration tools
 </li>
 <li>
 Experience with messaging and asynchronous systems (e.g. RabbitMQ, Kafka)
 </li>
 <li>
 Demonstrated track record of driving architectural decisions and improving team-level engineering metrics and system reliability
 </li>
 <li>
 Ability to lead incident response: identify root cause, drive resolution, and communicate clearly
 </li>
 <li>
 Experience working in Agile, cross-functional teams
 </li>
 <li>
 Strong English communication skills, written and verbal
 </li>
 <li>
 An engineering-driven mindset with strong analytical, problem-solving, and systems-thinking abilities
 </li>
 <li>
 Experience mentoring and coaching engineers, with a genuine interest in helping others grow
 
 
 </li>
 </ul>
 
 It's great if you have
 
 
 
 <ul>
 <li>
 Deep experience with Spark-based distributed data pipelines, including performance tuning and query plan optimization
 </li>
 <li>
 Experience integrating with external APIs or third-party platforms at scale (e.g. Google Ads, Meta), with familiarity in advertising, marketing, or experimentation systems
 </li>
 <li>
 Experience identifying, monitoring, and addressing data quality risks in production, supported by observability and monitoring tooling (e.g. Grafana, Prometheus)
 </li>
 <li>
 Experience with CI/CD pipelines and modern DevOps practices
 </li>
 <li>
 A track record of cross-team technical influence &mdash; creating reusable patterns or frameworks, and shaping engineering standards beyond your immediate team
 
 
 </li>
 </ul>
 #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5
 
 
 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Staff Data Engineer – Display Marketing Team (Bangkok based, relocation provided)

The Home Depot

<div>Position Purpose:
The Staff Data Engineer is a senior technical leader responsible for designing, building, and operating enterprise-scale data platforms and data products within the Enterprise Data Warehouse (EDW). This includes foundational data domains, semantic layers and downstream analytics consumers. This engineer will help define architectural standards, drive platform modernization, and mentor other engineers while remaining hands-on in complex backend data engineering efforts. The role emphasizes scalability, performance, cost efficiency, and analytical correctness across the EDW ecosystem. 
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes a broad view when approaching issues; using a global lens; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances</li><li>
10% Learns and Grows - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems</li><li>
20% Plans and Aligns - Creates new and better ways for the organization to be successful; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Works the Product Team to ensure user stories are developer ready, easy to understand and testable; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people; Adapts approach and demeanor in real time to match the shifting demands of different situations</li><li>
20% Supports and Enables - Fields questions from product and engineering teams; Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions; Notes gaps on the team and provides suggestions for changes to make the team more productive</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position typically has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
5+ years of experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Staff Software Engineer - Enterprise Data Warehouse (Remote)

H2o Labs

Senior / Lead / Data Engineer &ndash; Comprehensive Job DescriptionAbout the RoleWe are seeking a highly skilled and experienced Senior/Lead/Staff Data Engineer todesign, build, and maintain scalable, reliable, and high-performance data systems. Thisrole requires deep technical expertise, strong ownership of data platforms, and the abilityto lead cross-functional initiatives that power analytics, machine learning, businessintelligence, and mission-critical applications.You will play a key role in shaping data architecture, ensuring data quality and governance,and enabling teams across the organization to make data-driven decisions withconfidence.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and implement scalable data models, including:</li></ul>o Star schema (fact and dimension tables)o Conceptual, logical, and physical data models<ul><li>Develop enterprise data warehouse solutions ensuring:</li></ul>o Flexibility, scalability, and performance optimization<ul><li>Define and enforce data modeling standards and best practices</li></ul>Data Engineering &amp; Pipeline Development<ul><li>Build and maintain end-to-end data pipelines:</li></ul>o Data ingestion &rarr; staging &rarr; transformation &rarr; serving layers<ul><li>Develop robust ETL/ELT processes using modern tools and frameworks</li><li>Implement:</li></ul>o Typed staging layerso Data validation pipelineso Safe backfill and replay mechanisms<ul><li>Optimize SQL queries, indexing strategies, and database performanceData Platform Reliability &amp; Observability</li><li>Own data pipeline reliability and integrity</li><li>Build observability systems, including:</li></ul>o Monitoring dashboardso Alerting frameworks (actionable, low-noise)o Data freshness tracking<ul><li>Implement:</li></ul>o Schema contracts and enforcemento Data quality checks and validation ruleso Failure detection in CI pipelines (not post-deployment)<ul><li>Lead incident management and root cause analysis</li></ul>Data Governance &amp; Quality<ul><li>Establish data governance frameworks:</li></ul>o Standards, policies, and best practices<ul><li>Enforce:</li></ul>o Data integrityo Data lineage and traceabilityo Access controls and compliance<ul><li>Separate and maintain clear boundaries between:</li></ul>o Core governed datasetso Downstream analytics/BI layersCloud &amp; Big Data Integration<ul><li>Integrate systems with:</li></ul>o Data lakes and large-scale data platforms<ul><li>Work with modern cloud ecosystems (AWS preferred):</li></ul>oo Data warehouse platforms (e.g., Redshift, Snowflake)<ul><li>Design cost-efficient and scalable data solutions</li></ul>Analytics Engineering &amp; Data Products<ul><li>Design and deliver data products used by:</li></ul>o Analystso Data scientistso Product teams<ul><li>Build reusable frameworks for:</li></ul>o Data transformationo Orchestrationo Feature engineering (ML readiness)<ul><li>Support advanced analytics and reporting use cases</li></ul>CI/CD &amp; DevOps for Data<ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate:</li></ul>o Testingo Deploymento Validation<ul><li>Use version control systems (Git/GitHub)</li><li>Ensure:</li></ul>o High availabilityo Backup and recovery strategiesProgramming &amp; Tooling<ul><li>Develop solutions using:</li></ul>oo Python (automation, validation, tooling)<ul><li>Work with tools such as:</li></ul>o dbt (deep experience required)o DBeaver, Visual Studioo Orchestration tools (e.g., Dagster or similar)Leadership &amp; Collaboration<ul><li>Lead cross-functional technical initiatives</li><li>Mentor and guide junior to mid-level data engineers</li><li>Conduct:</li></ul>o Code reviewso Architecture discussionso Knowledge sharing sessions<ul><li>Collaborate with:</li></ul>o Engineering teamso Product managerso Business stakeholders<ul><li>Translate business requirements into scalable data solutions</li></ul>Strategic Impact<ul><li>Drive platform evolution and innovation</li><li>Identify opportunities for:</li></ul>o Performance improvementso Cost optimization (FinOps mindset)o Automation and scalability<ul><li>Influence organizational data strategy and roadmapRequired Qualifications</li><li>Bachelor&rsquo;s degree in computer science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in data engineering or analytics engineering</li><li>Strong expertise in:</li></ul>o Data modeling (star schema, dimensional modeling)o SQL and performance tuningo ETL/ELT pipeline development<ul><li>Hands-on experience with:</li></ul>o Data warehousing and data lakeso Big data integrations<ul><li>Experience with:</li></ul>o Cloud platforms (AWS preferred)o Data quality, validation, and governance frameworks<ul><li>Strong understanding of:</li></ul>o System designo Scalable architecture<ul><li>Excellent communication and stakeholder management skills</li><li>Ability to work in agile, fast-paced environments</li><li>Eligibility to obtain security clearance (if required)</li></ul>Preferred Qualifications<ul><li>Experience with:</li></ul>o AWS services (Glue, Lambda, etc.)o Snowflake, Redshifto dbt (production-level deployments)<ul><li>Knowledge of:</li></ul>o Machine learning data pipelineso Certifications:o SQL Server, CDMP, MCSA, or similar<ul><li>Experience in:</li></ul>o Healthcare, defense, or regulated industries<ul><li>Familiarity with:</li></ul>o CI/CD for data systemso Data governance and FinOps practicesWhat Makes a Strong Candidate<ul><li>Thinks of systems, not just pipelines</li><li>Focuses on root-cause solutions, not temporary fixes</li><li>Balances:</li></ul>o Business valueo Scalabilityo Maintainability<ul><li>Strong ownership mindset with ability to lead initiatives end-to-end</li><li>Passion for building resilient, high-quality data platforms</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs350,000.00 per monthWork Location: In person

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