principal data engineer

<div>About EAB

At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.

At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Principal Data Engineer

The Principal Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), is responsible for designing high-impact data and analytics solutions that help higher education institutions unlock the full value of their data within the Edify platform.

This role sits at the intersection of data architecture, partner strategy, and product innovation. The DSL partners closely with Strategic Leaders, Data Engineers, and Product teams to translate complex institutional challenges into scalable, well-architected data solutions that drive measurable outcomes.

Unlike traditional data engineering roles, the DSL&rsquo;s primary day-to-day work does not focus on building pipelines or writing production code. Instead, they lead discovery, shape solution design, guide implementation, and ensure that delivered solutions are aligned to partner goals, technically sound, and positioned for long-term success.

We are seeking a leader who can connect data systems to real-world impact, bringing both technical depth and consultative strength to help institutions modernize their data ecosystems and explore emerging capabilities such as advanced analytics and AI-driven solutions.

This position is ideally based out of EAB's Washington, D.C. or Richmond, VA office, and is open to remote work within the continental U.S. Occasional travel (up to ~12 days annually) may be required for partner engagements and team collaboration.

This position is also posted at the Senior Data Engineer level; candidates are being considered at both levels for the current opening.

Primary Responsibilities:
<ul>
<li>Lead discovery engagements with institutional stakeholders to translate business questions into clear data and analytic requirements</li>
<li>Design end-to-end data solutions, including data models, integrations, transformation logic, and reporting structures that align with Edify platform best practices and long-term partner data strategy</li>
<li>Serve as a trusted technical advisor to partners, guiding them through complex data challenges and opportunities to expand impact through improved data usage, reporting, and analytics</li>
<li>Mentor or manage Data Engineers and collaborate with Technical Project Managers to guide implementation of designed solutions</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Contribute to the development of advanced capabilities, including predictive analytics, automation, and AI-driven use cases</li>
<li>Provide structured feedback to Product and Engineering teams to inform platform evolution</li></ul> 


Basic Qualifications:
<ul>
<li>Bachelor's degree in a related field or equivalent professional experience</li>
<li>8+ years of experience in data architecture, analytics consulting, or related roles</li>
<li>Strong proficiency in SQL, experience writing and code-reviewing complex stored procedures, and working knowledge of data transformation and modeling concepts</li>
<li>Experience designing data pipelines, integrations, and ware house structures</li>
<li>Deep understanding of how data flows across systems and how it is used to drive business decisions</li>
<li>Demonstrated ability to translate ambiguous problems into structured, actionable solutions</li>
<li>Strong communication skills, with the ability to engage both technical and non-technical audiences</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li></ul> 


Ideal Qualifications:
<ul>
<li>Experience working directly with external stakeholders in a consulting or client-facing capacity</li>
<li>Familiarity with cloud data ecosystems (AWS preferred) and modern data stack concepts</li>
<li>Experience guiding data strategy, analytics roadmaps, or system design decisions</li>
<li>Exposure to advanced analytics, predictive modeling, or AI/ML use cases</li>
<li>Ability to recognize patterns across implementations and drive reusable, scalable solutions</li>
<li>Experience in higher education or similarly complex data environments</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.

Compensation:

The anticipated starting salary range for this role is $91,500 &ndash; $130,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.

This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
Benefits kick in day one; learn more at eab.com/careers/benefits.
This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.

At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</div>

Principal Data Engineer

BAE Systems USA

<div>Job Description 
 
As a Principal Data Engineer on the MPA team, you will lead the design and delivery of scalable data solutions that enable enterprise analytics and digital transformation. This role combines deep technical expertise, data architecture, and cross-functional leadership. 
 
You will play a critical role in initiatives such as PLM and enterprise system transformations, ensuring data is properly cleansed, modeled, governed, and migrated. 
Tech Environment (What You&rsquo;ll Work With)<ul><li>
Data Platforms: SQL Server, SSAS Tabular</li><li>
Integration: SSIS, Python (ETL frameworks, automation)</li><li>
Data Virtualization: Denodo</li><li>
BI &amp; Reporting: Power BI (Report Server), Excel</li><li>
Environment: Primarily on-prem with hybrid integrations</li><li>
Focus Areas: Data architecture, semantic modeling, governance, enterprise data transformations (PLM, ERP)</li></ul>
This is not a pure cloud data role&mdash;experience working in on-premises or hybrid enterprise environments is highly valued. 
 
What You&rsquo;ll Do: 
<ul><li>Architect and build scalable pipelines and integration frameworks (SQL, SSIS, Python).</li><li>
Design and own tabular/semantic models (SSAS Tabular, Power BI datasets).</li><li>
Lead data workstreams for digital transformations, including:<ul><li>
Data profiling &amp; quality assessment</li><li>
Cleansing &amp; standardization</li><li>
Data mapping &amp; transformation design</li><li>
Migration validation</li></ul></li><li>
Leverage Denodo for enterprise data access.</li><li>
Establish data governance (RBAC, ownership, quality standards).</li><li>
Optimize performance across pipelines and reporting layers.</li><li>
Mentor engineers, drive engineering best practices, and review designs/code.</li><li>
Lead projects and influences architecture decisions.</li><li>
Communicate effectively with business and technical stakeholders.</li><li>
Maintain a regular and predictable work schedule.</li><li>
Establish and maintain effective working relationships within the department, the Strategic Business Units, Strategic Capabilities Units and the Company. Interact appropriately with others in order to maintain a positive and productive work environment.</li><li>
Perform other duties as necessary.</li></ul>
On-Site Work Environment: This position requires regular in-person engagement by working on-site three or more days each normally scheduled week in the primary work location. Travel and local commute between company campuses and other possible non-company locations may be required. 
 
Working Conditions:
<ul><li>Work is performed in an office, laboratory, production floor, or cleanroom, outdoors or remote research environment.</li><li>
May occasionally work in production work centers where use of protective equipment and gear is required.</li><li>
May access other facilities in various weather conditions.</li></ul> 

Required Education, Experience, &amp; Skills
 
<ul><li>BS degree or higher in Engineering or a related technical field is required plus 6 or more years related experience.</li><li>
Each higher-level degree, i.e., Master&rsquo;s Degree or Ph.D., may substitute for two years of experience. Related technical experience may be considered in lieu of education. Degree must be from a university, college, or school which is accredited by an agency recognized by the US Secretary of Education, US Department of Education.</li><li>
Advanced SQL + deep data modeling (dimensional + semantic).</li><li>
Demonstrated ETL experience using SSIS and Python.</li><li>
Solid understanding of enterprise data architecture.</li><li>
Hands-on experience with large-scale system migrations (PLM, ERP, etc.).</li><li>
Expertise in data cleansing, mapping, and migration strategy.</li></ul>
#LI-JL2 
 
Preferred Education, Experience, &amp; Skills
 
<ul><li>Experience with Denodo or similar.</li><li>
Proven experience with tabular models (SSAS Tabular / Power BI datasets).</li></ul> 

Pay Information 
Full-Time Salary Range: $118095 - $200762 
 
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
 
 
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. 
 
About BAE Systems Space &amp; Mission Systems
 
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it&rsquo;s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts &ndash; defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team&mdash;making a big impact on a global scale. At BAE Systems, you&rsquo;ll find a rewarding career that truly makes a difference. 
 
Headquartered in Boulder, Colorado, Space &amp; Mission Systems is a leading provider of national defense and civil space applications, advanced remote sensing, scientific and tactical systems for government and commercial customers. We continually pioneer ways to innovate spacecraft, mission payloads, optical systems, and other defense and civil capabilities. Powered by endlessly curious people with an unwavering mission focus, we continually discover ways to enable our customers to perform beyond expectation and protect what matters most. 
 
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified. 
 
Multiple positions may be available on this opening.</div>

HireOn

<div>
 
 Employment Type:
 
 Full-Time | Permanent
 
 
 
 Location:
 
 Pakistan (Lahore / Karachi / Islamabad) &ndash; Hybrid
 
 
 
 About The Opportunity
 
 
 
 
 HireOn
 
 is hiring on behalf of a
 
 reputed international client
 
 seeking a
 
 Principal Data Engineer
 
 to play a pivotal role in building and scaling a next-generation cloud data platform.
 
 
 This position focuses on designing and delivering
 
 high-performance data pipelines and warehouse solutions on Amazon Redshift
 
 , enabling faster analytics, improved reliability, and scalable data operations.
 
 
 You will take ownership of
 
 architecting data workflows, optimizing processing performance, and implementing production-grade orchestration
 
 , while collaborating with cross-functional teams to drive data-driven outcomes.
 
 
 
 Key Requirements (Must-Have First)
 
 
 
 <ul>
 <li>
 6 to 8+ years of experience in data engineering, data platforms, or data warehousing
 </li>
 <li>
 Advanced expertise in Amazon Redshift, including performance tuning, workload optimization, and MPP architecture
 </li>
 <li>
 Strong hands-on experience with Apache Airflow (MWAA preferred) for workflow orchestration
 </li>
 <li>
 Proficiency in SQL and Python for building scalable data pipelines
 </li>
 <li>
 Solid experience with cloud-based data ecosystems on AWS (S3, Lambda, CloudWatch, DMS)
 </li>
 <li>
 Deep understanding of data modeling, ETL/ELT frameworks, and large-scale data processing
 </li>
 <li>
 Proven ability to design high-performance, distributed data pipelines
 </li>
 <li>
 Experience leading engineering efforts, including code reviews, mentoring, and technical decision-making
 </li>
 <li>
 Strong knowledge of query optimization, parallel processing, and data pipeline efficiency
 
 
 </li>
 </ul>
 
 
 Core Technical Skills
 
 
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Amazon Redshift (Provisioned / Serverless)
 </li>
 <li>
 MPP data processing concepts
 </li>
 <li>
 Apache Airflow (MWAA)
 </li>
 <li>
 Advanced SQL &amp; performance tuning
 </li>
 <li>
 Python for data engineering
 </li>
 <li>
 Data modeling &amp; warehousing concepts
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 AWS services (S3, Lambda, DMS, Aurora PostgreSQL)
 </li>
 <li>
 CI/CD pipelines &amp; Git-based workflows
 </li>
 <li>
 Linux/Unix environments
 </li>
 <li>
 Experience with large-scale, distributed data systems
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Highly optimized and scalable data pipelines running on Redshift
 </li>
 <li>
 Reliable orchestration with minimal downtime and strong observability
 </li>
 <li>
 Efficient handling of large datasets with improved query performance
 </li>
 <li>
 Well-architected data platform aligned with modern engineering standards
 
 
 </li>
 </ul>
 
 
 Why Join Through HireOn
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a globally recognized client on high-impact data initiatives
 </li>
 <li>
 Exposure to modern cloud data technologies and large-scale systems
 </li>
 <li>
 Hybrid work flexibility within Pakistan
 </li>
 <li>
 Career growth into data architecture and platform leadership roles
 
 
 </li>
 </ul>
 Skills: apache airflow,python,plsql,aws,amazon redshift
</div>

Principal Data Engineer – AWS Redshift & Data Platforms

Systems Limited

<div>
 
 
 Job Purpose
 
 
 
 The Enterprise Data Platforms (EDP) stream provides the centralized and integrated infrastructure to effectively manage, store, process and analyze large volumes of data from diverse sources providing Bank wide functions with data products to gain meaningful insights from their Data Assets. Our core function spans multiple platforms like Enterprise Data Lake, Data Warehouse, Business Intelligence, advanced Analytics and Realtime Streaming platforms.
 
 
 
 
 The work involves developing new requirements in the Data Warehouse and Hadoop application across Enterprise Data Platform, analyzing the requirements, estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank&rsquo;s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Manage and oversee DWH/DL On-call support for sustainment and service tickets activities as a Data Custodian.
 </li>
 <li>
 Investigate production related issues and provide workaround/fixes for issues as per SLA.
 </li>
 <li>
 Analyze requirements to create technical designs, data models and ETL migration strategies on DWH, DL and cloud platform.
 </li>
 <li>
 Evaluate identifying existing data gaps, building new ETL data pipelines, and providing automated solutions to deliver advanced analytical capabilities and enriched data to applications that support the organization&rsquo;s operations.
 </li>
 <li>
 Evaluate, implement and streamline DevOps practices in Enterprise Data Platform.
 </li>
 <li>
 Recommend improvements to enhance existing ETL and data integration processes to enable performance and overall scalability.
 </li>
 <li>
 Evaluate company's present data infrastructure/governance/architecture, identify gaps, and develop plans to integrate the current systems with the desired future model.
 </li>
 <li>
 Identify, analyze various risks, and implement risk management controls, RCSA and contingency plans on Data Platform to mitigate future risk.
 </li>
 <li>
 Reviewing, executing, and documenting Audit activities and its corrective actions on Data Platform.
 </li>
 <li>
 Ensuring Data Platform security and compliance with data privacy regulations and company policies. Implementing access controls, data masking, and encryption where necessary to safeguard sensitive information.
 </li>
 <li>
 Understands industry trends and the practical application of existing, new, and emerging technologies.
 </li>
 <li>
 Forecasting future data storage and processing requirements and planning for scalability. Identifying potential bottlenecks and devising strategies to accommodate growing data volumes.
 </li>
 <li>
 Developing and maintaining disaster recovery plans and business continuity strategies to address potential risks and minimize downtime.
 </li>
 <li>
 Communicate and effectively articulate the DWH/DL solution/roadmaps to business and technical delivery teams.
 </li>
 <li>
 Coordinate with change management approval board to get all desired approvals and ensure production deployments on timely manner.
 </li>
 <li>
 Collaborate with Incident management team to track and report on incidents, their resolutions, and any necessary follow-up actions.
 </li>
 <li>
 Interacting with Data Platform software and hardware vendors to coordinate support, updates, and service-level agreements.
 </li>
 </ul>
 
 
 
 
 Knowledge, Skills and Experience
 
 
 
 
 Core Skills:
 
 
 <ul>
 <li>
 15 &ndash; 20 Years of Total Experience in Data Warehouse, Informatica, Oracle PL/SQL, Microsoft SQL Server, Unix, Hadoop and cloud platform and migrations
 </li>
 <li>
 Strong in writing &amp; tuning the ETL Jobs, DB Programs and Queries, Python, Spark, Hive, Cloudera
 </li>
 <li>
 Sound in Data Management Fundamentals and Data Architect, Modelling, Governance.
 </li>
 <li>
 Strong Domain Knowledge in Banking/Finance area like understanding of the various processes, products, and services within the banking industry, core functions, regulations, and operational aspects of banking institutions.
 </li>
 <li>
 Hands on knowledge in Hadoop and cloud ecosystem and ETL jobs migration
 </li>
 </ul>
 
 
 
 
 Management Skills:
 
 
 <ul>
 <li>
 People management responsibilities encompass the tasks and activities involved in leading, guiding, and developing a team of individuals to achieve organizational goals effectively.
 </li>
 <li>
 Setting clear performance expectations, conducting regular performance reviews, providing feedback, and offering guidance on areas of improvement.
 </li>
 <li>
 Follow predefined processes and workflows to carry out specific tasks and activities accurately and in a timely manner.
 </li>
 <li>
 Identify opportunities for process improvement and efficiency enhancement and provide feedback or suggestions to optimize workflows.
 </li>
 <li>
 Analyze the needs, expectations, and concerns of each stakeholder. Assess their level of influence, interest, and potential power to affect the project's success.
 </li>
 <li>
 Developing a comprehensive project plan that outlines the project scope, objectives, deliverables, timelines, resource requirements, and budget.
 </li>
 </ul>
 
 
 
 
 Additional Skills Desired:
 
 
 <ul>
 <li>
 Good Communication Skills
 </li>
 <li>
 Strong Analytical Thinking
 </li>
 <li>
 Ability to handle stakeholders.
 </li>
 <li>
 Confident in decision making and the ability to explain processes or choices as needed.
 </li>
 <li>
 Ability to multitask on multiple projects in various phases.
 </li>
 <li>
 Project Methodology Knowledge
 </li>
 <li>
 Program Management &amp; Deliverable
 </li>
 <li>
 Computer Science degree or equivalent
 </li>
 </ul>
</div>

Principal Data Engineer - Enterprise Data Platform

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

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