customer success engineer - database (2nd shift)

data engineer

software development engineer Jobs in Seattle

software development engineer

software engineer

big data engineer

customer success engineer - database (2nd shift) Jobs in Seattle

senior database engineer

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div>
We are looking for a Customer Success Engineer - Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<ul><li>Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments</li>
<li>Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity</li>
<li>Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean</li>
<li>Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.</li>
<li> on complex escalations, contributing to root cause analysis and resolution</li>
<li>Analyze customer architectures to identify improvement opportunities and recommend best practices</li>
<li>Participate in incident response and on-call rotations to support critical customer issues</li>
<li>Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.</li>
<li>Advocate for customer feedback to influence product improvements and platform enhancements</li>
<li>Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.</li>
<li>Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.</li>
</ul><h2 class="jobSectionHeader">Key Metrics</h2>
<ul><li>Customer Satisfaction (CSAT)</li>
<li>Time to Resolution / SLA adherence</li>
<li>Escalation quality and resolution effectiveness</li>
<li>Documentation and knowledge base contributions</li>
<li>Customer adoption of best practices</li>
</ul><h2 class="jobSectionHeader">What You'll Add to DigitalOcean</h2>
<h3 class="jobSectionHeader">Required Experience &amp; skills</h3>
<ul><li>2&ndash;5 years of experience in technical support, DevOps, cloud engineering, or similar roles</li>
<li>Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.</li>
<li>Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts</li>
<li>Understanding of database fundamentals including backups, replication, indexing, and performance tuning</li>
<li>Strong troubleshooting skills across application, database, and infrastructure layers</li>
<li>Customer-first mindset with a passion for solving technical problems and delivering great support experiences</li>
<li>Effective communication skills with the ability to explain technical concepts clearly</li>
<li>Ability to work both independently and collaboratively in a fast-paced environment</li>
</ul><h2 class="jobSectionHeader">Preferred Qualification:</h2>
<ul><li>Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.</li>
<li>Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.</li>
<li>Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)</li>
<li>Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.</li>
<li>Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies</li>
<li>At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator</li>
<li>Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$75,200 - $94,000 / Shift hours - 1pm - 9pm PST</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7646

#LI-Remote<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Customer Success Engineer - Database (2nd Shift)

Apple

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. 
 
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. 
 
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are seeking a Senior Software Data Engineer who brings deep technical expertise and the strategic thinking to shape the future of our data engineering platform. In this role, you will influence the broader technical vision, drive platform-wide architectural decisions, and establish patterns that raise the engineering bar across the organization. You will bridge hands-on engineering excellence with forward-looking platform thinking, working alongside architects and cross-functional teams to transform how data engineers work at Apple. 
 
Description 
 
As a Senior Software Data Engineer on the APX Bedrock team, you will be a highly impactful technical contributor who combines deep engineering craftsmanship with platform-wide thinking. You will own critical platform components end-to-end while actively shaping the technical direction of the team and influencing the broader organization. 
 
<ul><li>Lead design and implementation of core platform services supporting data application authoring, metadata management, dataset lifecycle tracking, and orchestration at scale</li></ul> 
<ul><li>Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform</li></ul> 
<ul><li>Own data modeling and database design decisions, establishing best practices for schema design, indexing strategies, and query optimization across relational and non-relational data stores</li></ul> 
<ul><li>Design and operate scalable data processing pipelines using Apache Spark, Apache Flink, and modern orchestration frameworks</li></ul> 
<ul><li>Proactively identify architectural gaps and drive initiatives that improve platform scalability, reliability, and developer experience</li></ul> 
<ul><li>Define engineering standards and patterns adopted across the broader team and organization</li></ul> 
<ul><li>Evaluate emerging technologies and contribute to strategic decisions that shape the platform roadmap</li></ul> 
<ul><li>Mentor engineers across experience levels and drive a culture of technical excellence</li></ul> 
<ul><li>Leverage AI-powered development tools and help define how AI-augmented workflows are adopted and scaled within the team</li></ul> 

Preferred Qualifications 
 
Experience with non-relational or NoSQL databases and strong intuition for applying the right data storage paradigms 
 
Proficiency in Scala, Go, or Python as complementary programming languages 
 
Deep experience with container orchestration tools such as Kubernetes and cloud-native infrastructure patterns 
 
Hands-on experience with AI-powered development tools (e.g., Claude Code, Copilot) and building AI-augmented engineering workflows 
 
Experience architecting data quality monitoring, metadata management, or dataset lifecycle management systems at scale 
 
Strong background in streaming, real-time data processing, and event-driven architectures 
 
Track record of mentoring senior engineers and driving technical excellence across teams 
 
Strong communication skills with the ability to present complex technical strategies to senior leadership 
 
Minimum Qualifications 
 
Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience 
 
8+ years of software engineering experience with significant focus on data platform or large-scale distributed systems 
 
Expert-level Java programming with a strong track record of architecting and delivering complex, production-grade backend services 
 
Deep experience with relational databases including advanced data modeling, schema design, and query optimization at scale 
 
Expert-level experience with Apache Spark and Apache Flink, and distributed data technologies including Hadoop, HDFS, and Kafka 
 
Extensive experience designing and operating workflow orchestration systems such as Apache Airflow at enterprise scale 
 
Proven ability to drive end-to-end technical ownership of complex platform initiatives and influence technical direction beyond immediate team scope 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Senior Software Data Engineer

Headspace

<div>About the Senior Data Engineer at Headspace:

As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission&mdash;enabling smarter decisions, better member experiences, and the future of personalized mental health care.
What you will do:
<ul>
<li>Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization's data lake</li>
<li>Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry's stringent requirements</li>
<li>Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics</li>
<li>Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation</li>
<li>Support peers and champion a culture that values data as a strategic asset across the organization</li>
</ul>
What you will bring:

Required Skills:
<ul>
<li>4+ years of proven success designing and implementing large-scale data systems</li>
<li>Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)</li>
<li>Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques</li>
<li>Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake</li>
<li>Demonstrated expertise in architectural patterns for building high-volume ETL pipelines</li>
<li>Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation</li>
<li>Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration</li>
<li>BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li>
</ul>
Preferred Skills:
<ul>
<li>Experience in deployment and infrastructure management using Terraform is a plus</li>
<li>Prior experience implementing governance, privacy, and security frameworks across a data platform</li>
<li>Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data</li>
<li>Experience migrating or working with DBT for transformations, documentation, and lineage tracking</li>
<li>Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement</li>
</ul>
Location: We are currently hiring this role in the US. Candidates must permanently reside in the US full-time and be based in these cities. 
For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. 

Pay &amp; Benefits:

The anticipated new hire base salary range for this full-time position is $122,400-$195,500 + equity + benefits.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. 
Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.

Why You'll Love Working Here:
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
<ul><li>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.</li></ul>

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</div>

Senior Data Engineer

Uber

<div>About the Role
 
 
Uber's Data Platform is the heart of the company's critical decision-making and AI-driven intelligence. We are evolving from traditional data processing toward a Next-Generation Data Intelligence Platform -a unified, elastic fabric that collapses the silos between batch, streaming, and multimodal data.
 
 
As a Senior Staff Engineer , you will be the architect behind Uber's Elastic Compute , Unified Semantic Layer , and Self-Evolving Knowledge Platform . You will lead the transition from legacy on-premise systems to a Modern, Cloud-Native Ecosystem , designing solutions that handle exabytes of data. Whether it's optimizing Transactional Distributed Storage , or operationalizing Agentic Data Intelligence , your work will define the industry standard for high-performance infrastructure.
 
 
What You Will Do
<ul><li>Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale.
</li><li>Revolutionize Storage &amp; Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities.
</li><li>Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows.
</li><li>Lead Storage Modernization: Evolve our massive-scale persistence layers-including Docstore (Transactional Distributed Storage) and Distributed MySQL-to increase resiliency and reduce operational overhead.
</li><li>Open Source &amp; Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto).
</li></ul>Basic Qualifications -
<ul><li>14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems.
</li><li>Mastery of Storage Internals: Extensive storage experience is a must. You have deep expertise in:
<ul><li>Batch &amp; Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management.
</li><li>Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures.
</li><li>Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB).
</li><li>NoSQL &amp; Cache: Cassandra, Redis, and high-throughput Key-Value stores.
</li></ul></li><li>Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms.
</li><li>Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing.
</li><li>Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus.
</li></ul>- Preferred Qualifications -
<ul><li>Infrastructure at Scale: Experience designing AI infrastructure, including RAG (Retrieval-Augmented Generation) systems and high-bandwidth data loading for GPUs.
</li><li>Distributed Relational Mastery: Hands-on experience with Sharded/Distributed MySQL (Vitess) and managing large-scale tabular data.
</li><li>Multi-Cloud Vision: Demonstrated ability to build portable data solutions across OCI and GCP, optimizing for resource efficiency and intelligent scheduling.
</li><li>SLA-Driven Reliability: Expertise in building observability, data freshness, and quality frameworks for Tier-0 mission-critical services.
</li>Strategic Influence: Proven ability to lead platform modernization, mentor Staff-level engineers, and influence long-term technical strategy across multiple organizations. 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Staff Software Engineer: Data & Storage Platform

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. 
 
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose. 
 
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Position Summary
GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and core data infrastructure. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.
Position Description
Our Staff Engineer is a key member of the engineering staff working across the organization to innovate and bring the best open-source data infrastructure and practices into Geico as we embark on a greenfield project to implement a core Data Lakehouse for all Geico&rsquo;s core data use-cases across each of the company&rsquo;s business verticals.
Position Responsibilities
As a Staff Engineer, you will:<ul><li>
Scope, design, and build scalable, resilient Data Lakehouse components</li><li>
Lead architecture sessions and reviews with peers and leadership</li><li>
Accountable for the quality, usability, and performance of the solutions</li><li>
Spearhead new software evaluations and innovate with new tooling</li><li>
Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning</li><li>
Collaborate with customers, team members, and other engineering teams to solve our toughest problems</li><li>
Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering community</li><li>
Consistently share best practices and improve processes within and across teams</li><li>
Share your passion for staying on top of the latest open-source projects, experimenting with, and learning recent technologies, participating in internal and external technology communities, and mentoring other members of the engineering community</li></ul>
Qualifications<ul><li>
Exemplary ability to design and develop, perform experiments</li><li>
Experience developing new and enhancing existing open-source based Data Lakehouse platform components</li><li>
Experience cultivating relationships with and contributing to open-source software projects</li><li>
Experience with open-source table formats (Apache Iceberg, Delta, Hudi or equivalent)</li><li>
Experience with open-source compute engines (Apache Spark, Apache Flink, Trino/Presto, or equivalent)</li><li>
Experience with cloud computing (AWS, Microsoft Azure, Google Cloud, Hybrid Cloud, or equivalent)</li><li>
Expertise in developing distributed systems that are scalable, resilient, and highly available</li><li>
Expertise in container technology like Docker and Kubernetes platform development</li><li>
Experience with continuous delivery and infrastructure as code</li><li>
In-depth knowledge of DevOps concepts and cloud architecture</li><li>
Experience in Azure Network (Subscription, Security zoning, etc.) or equivalent</li><li>
Ability to excel in a fast-paced, startup-like environment</li></ul>
Experience<ul><li>
6+ years of professional experience in data software development, programming languages and developing with big data technologies</li><li>
4+ years of experience on open-source development</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Mathematics or equivalent education or work experience</li></ul> 
Annual Salary
$130,000.00 - $260,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Staff Engineer – Data Lakehouse Platform

University Of Washington

<div>Job Description
The University of Washington is one of the world&rsquo;s preeminent public universities in impact and funding. Since 1972, the UW has continued to receive more externally sponsored research funding than any other U.S. public university and is one of the few universities in the U.S. with total research funding nearing two billion. That funding drives crucial, ground-breaking research that transforms lives around the globe. In the Office of Research at UW, we take pride in creating an outstanding climate of support for UW researchers that helps them compete and succeed. However, the complexity of research administration and regulation grows each day. Our mission in ORIS (Office of Research Information Services) is to reduce that administrative burden by streamlining and automating information services so researchers can spend more time researching.
The Data Engineer/DBA (Database Administrator) will be responsible for ensuring the stability, performance, and security of the databases and data that support ORIS systems. ORIS&rsquo;s data infrastructure supports systems and services used by award-winning faculty and staff to perform administrative activities including submission of funding applications for consideration, routing them electronically for approval, managing detailed multi-year grant budgets, integrating with other UW systems, and providing reporting capabilities to academic and administrative users. This will reduce the administrative burden on researchers across the University by improving the amount of time researchers can spend on researching; improving University compliance; and ensuring that the University can continue to be at the forefront of academic research.
The Data Engineer/DBA position is charged with ensuring that database resources meet security, performance, reliability, and availability requirements. The Data Engineer/DBA will partner with development teams across multiple products and will need to work with different database systems and hosting platforms. The DBA will provide consultation and assistance in database and data design and will be responsible for provisioning, optimization, operations, and business continuity. The Data Engineer/DBA will work to ensure secure and dependable database performance and operations through implementation, test, integration test, and migration and production deployment and cutover phases. Operations consist of supporting a range of data software components, infrastructure, integrations, and services, some of which target 24/7/365 availability.
Successful candidates must have a solid background in design and implementation of databases and other data infrastructure that support online applications, reporting and analytics, and integrations with other systems.
The Data Engineer/DBA supports databases across platforms and products, both in the cloud and on-premises. The Data Engineer/DBA must provide support through all phases of development as well as production support. A successful person in this position must &hellip;
<ul><li>Collaborate and consult with multiple teams of diverse staff including junior and senior engineering staff as well as technical leads, product owners, and project managers across multiple products.
</li><li>Align data and database configuration, maintenance, and operations with overall ORIS IT operational goals and business objectives as outlined by ORIS program portfolio that supports UW&rsquo;s $1.89 billion research enterprise.
</li><li>Lead, plan, and advise on the strategic and tactical direction of all facets of data and database administration across multiple products, from meeting minimum security requirements to ensuring stability, performance, and availability requirements are met.
</li></ul>This position advances the Office of Research&rsquo;s mission to support the integration of electronic research information systems both as a data engineer, ensuring the optimized and performance applications with the data layer and, as an administrator, ensuring the security and reliability of ORIS&rsquo;s core database operations. This will reduce the administrative burden on researchers across the University by improving the amount of time researchers can spend on researching; improving University compliance; and ensuring that the University can continue to be at the forefront of academic research.
Responsibilities:
Operations and Administration &ndash; 60%
<ul><li>Design, deploy, configure, maintain, and deprecate database environments, databases, data schema, and data elements to support novel applications development and support
</li><li>Develop and assist with SQL query design for applications and reporting to meet organizational needs and ORIS commitments
</li><li>Recommend, design, implement, and maintain automation to reduce repetitive software development and maintenance tasks and increase application performance
</li><li>Maintain configuration and management of databases across Non-Prod and Prod environments to ensure optimal uptime and performance for ORIS products and services
</li><li>Engage and participate in ORIS&rsquo; culture of review both as reviewer and reviewee to ensure shared knowledge of development practices and high-quality code
</li><li>Implement and maintain regular database backup and retention plans to ensure that database archiving and disposition requirements are met
</li><li>Determine, implement, and maintain performance monitoring and tuning strategies to ensure that databases operate within security, reliability, and availability requirements
</li><li>Configure logging and monitoring to ensure reliable and accurate reporting on database and application health and performance
</li><li>Participate in software release (possibly including off hours release and update times)
</li><li>Plan and carry out any needed data migrations and system upgrades and updates
</li><li>Monitor ETLs and other regular or scheduled database processes and take appropriate steps when failures occur
</li><li>Research and respond to alerts and notifications of real or potential issues to proactively communicate and address problems
</li><li>Research data and database issues as they pertain to production support and non-production support requests, including application SQL queries
</li><li>Ensure business continuity and disaster recovery for ORIS databases
</li><li>Troubleshoot and resolve application and data infrastructure incidents
</li></ul>Technical Planning, Consultation, and Collaboration &ndash; 25%
<ul><li>Partner with development teams to ensure data and database components and mechanisms meet all functional and non-functional requirements, including data modeling, data schema design, database design, query development and optimization, and similar tasks
</li><li>Participate in UW technology integration initiatives that involve ORIS supported systems
</li><li>Participate in organizational risk assessment activities, security planning, and vendor analysis to ensure solutions meet data and data infrastructure standards
</li><li>Build strong relationships, working with diverse technical and business partner groups, both internal and external to the University of Washington
</li><li>Effectively communicate and collaborate technical information with a wide range of people with varying levels of technical expertise
</li></ul>Administrative Duties &ndash; 10%
<ul><li>Attend recurring organization meetings and one-on-ones with a supervisor.
</li><li>Engage in unplanned communications
</li><li>Participate in recurring HR processes
</li></ul>Professional and Organizational Development &ndash; 5%
<ul><li>Maintain an awareness of industry, institutional, and organizational trends, best practices, and standard solutions
</li><li>Socialize key concepts, industry best practices, and organizational principles, strategies, and conventions related to data and database administration to both technical and non-technical staff via mentoring, meetings, hands-on learning, and documentation
</li><li>Become familiar with research administration in an R1 university setting in order to streamline its supporting business processes
</li></ul>Experience Required:
<ul><li>Bachelor&rsquo;s degree in Engineering, Computer Science, Math/Statistics, Business Administration, or equivalent experience.
</li><li>6 Years of experience in data engineering and database administration to include at least the following minimum professional experience:
<ul><li>6 years hands-on experience as an individual contributor on database implementation, maintenance, and operation in accordance with industry standards, data policies, and security best practices using SQL:
<ul><li>Data and data infrastructure implementation and optimization for application development and maintenance
</li><li>Microsoft SQL Server
</li><li>Indexing strategies
</li><li>DB performance and monitoring tools (such as SolarWinds, Datadog, RDS Performance Insights, and/or Redgate)
</li><li>Query profiling and optimization tools
</li><li>ETL tools (such as SQL Server Integration Services (SSIS), AWS Glue, Informatica, or Alteryx )
</li><li>Modeling tools (such as erwin or DbSchema)
</li><li>Secure data management practices
</li></ul></li><li>2 years&rsquo; experience configuring and managing databases in the AWS cloud environment including: RDS, EC2,
</li></ul></li><li>Demonstrated ability to communicate clearly and effectively in both oral and written mediums with individuals and groups in order to socialize information and knowledge with a diverse group of colleagues
</li><li>Demonstrated ease in technical and non-technical review as both reviewer and reviewee in order to facilitate collaborative group activities such as change control and pull request review
</li></ul>Experience Desired:
Experience with ...
<ul><li>AWS Services such as Glue, DMS, Quicksight, Redshift, data pipeline
</li><li>Performing security audits and reviews of databases and data systems
</li><li>REST API development and management platforms, such as MuleSoft or Boomi (Mulesoft preferred)
</li><li>Open-source database technologies: PostgreSQL, MySQL, MongoDB, Oracle, etc.
</li><li>Information Security standards and frameworks
</li><li>Working in a Scrum-Agile environment
</li><li>Workday suite of applications/modules
</li><li>Workday data model, security, integrations, and data load capabilities
</li></ul>Working Conditions:
This position:
<ul><li>Contributes in a collaborative teamwork environment
</li><li>Collaborates across diverse backgrounds, personalities, and disciplines in a shared space working environment through scheduled and ad hoc meetings focused on problem solving
</li><li>May be required to work in a hybrid environment, using remote and on-site workplaces
</li><li>While normally has a Monday-Friday day shift, will occasionally have responsibilities or emergent situations where work outside of standard business hours is required to ensure software deployments go smoothly, to respond to incidents, and/or to meet critical deadlines
</li><li>May be required to be on call
</li><li>Is an essential position and is required to report to work when needed when UW suspends operations
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$117,600.00 annual
Pay Range Maximum:
$124,800.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a temporary position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Data Engineer/DBA (Temporary)

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
Job Title: PSA Engineer - Network Transmission (Energy Domain) 
Location &ndash; Seattle, WA / Melbourne, FL 
Contract<div>
Job Description</div><div>
Must Have Technical/Functional Skills</div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div> 
Roles &amp; Responsibilities</div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div> 
Generic Managerial Skills</div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div>
Required Skills
CLOUD SECURITY ENGINEER DEVOPS ENGINEER DEVOPS SECURITY ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

PSA Engineer / Network Transmission (Energy Domain)-6

Explore 169+ Senior database engineer in Seattle this April. Find roles across top companies and apply now to boost your career.