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Why We Need You: The Principal Data Engineer serves as PEMCO's senior individual contributor in the Data & AI Organization and is responsible for designing, building, and evolving scalable data processing patterns and data products that power analytics, reporting, operational intelligence, and AI across the enterprise. Build and optimize cloud-native data solutions leveraging Databricks, Spark, Delta Lake, Azure Data Platform services, SQL Server, and modern lakehouse architectures.

YEAR

PEMCO Mutual Insurance Company

Principal Data Engineer

Design data models and ETL/ELT workflows to ingest, transform, and integrate data from diverse sources using AWS services (e.g., S3, Redshift, Glue, EMR, Athena, Lambda) and internal Amazon data platform tools. You"ll build well-documented, context-rich datasets and self-service tools (new or reused) that put data directly in the hands of the people who need it most - applying data mining, data modeling, and AI to evaluate business health and drive measurable improvement.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Data Engineer II, AWS DC Global Network Delivery

This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Anthropic

Recruiting Analytics Data Engineer

ea_via_bold

Collaborate with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother. Must be an expert working with data modeling with un/structured data, ingestion pipelines and ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact.

Senior Data Engineer , AWS Infrastructure Supply Chain Intelligence

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities. The Path to Joining the Mactores Team At Mactores, our recruitment process is structured around three distinct stages: Pre-Employment Assessment: You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Mactores

AWS Data Engineer (Associate)

As we continue to scale, the Data Engineer will own the software systems, data pipelines, forecasting models, and logistics execution needed to make deploying and maintaining Starlink infrastructure around the world fast, predictable, and reliable. Architect backend services, APIs, and workflows to integrate planning, logistics, and inventory systems (Warpdrive ERP/MRP, 3rd party logistics service provider's APIs).

Space Exploration Technologies

Data Engineer, Ground Network Engineering (Gateway)

Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Design, document, and communicate end-to-end Workday data conversion solutions, encompassing data transformations, reporting, APIs, and associated business processes with SME support.

Armanino McKenna LLP

Workday PSA & Financials Data Engineer

HOUR

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . Your work will help engineers automatically identify performance trends, detect anomalies, and uncover firmware regressions across satellite contacts—improving the reliability and performance of a global satellite communications system.

INSPYR Solutions

Data Engineer

jobdiva

ADAPTED_NOW

Experience with streaming/data messaging frameworks (e.g., Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming). Required Skills & Experience 7+ years of professional experience in data engineering, data platforms, or related roles.

Georgia Tek Systems

NOSQL Data Engineer

Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality. Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions.

Data engineer - Seattle WA

Working knowledge/ concepts in Azure PaaS technologies – Databricks, ADLS / ADW / Synapse is a big plus. Responsibilities include: Provides extensive troubleshooting and technical expertise in identifying data issues that impact data metrics.

Azure/SQL Data Engineer/Analyst-Seattle, WA (Remote)

This role operates in a small, high-impact team with broad responsibilities, requiring a mix of data work, application support, and close collaboration with engineering and operations teams. Nice to have: Exposure to: AI / Copilot-based solutions, Power Automate (especially as you grow into SME ownership).

Tata Consultancy Services Ltd

Data Engineer (Kusto)

PERMANENT

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER, GROUND NETWORK ENGINEERING (GAT...

SpaceX

greenhouse_via_bold

Develop robust ingestion from Azure Data Lake Storage (ADLS Gen2), Azure Synapse/SQL, Event Hub, Kafka, and REST/JSON sources. "Build CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for jobs, notebooks, and infrastructure-as-code (Terraform/ARM/Bicep).

Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.

eTeam Inc.

Lead Azure Data Engineer

We are looking for an experienced Senior Azure Data Engineer with 8 10 years of experience in data engineering and strong hands-on expertise in Python, SQL, Apache Spark, PySpark, and Azure Databricks . The candidate will be responsible for developing and supporting scalable data pipelines, transforming large datasets, and optimizing data processing solutions using Azure cloud technologies.

Senior Azure Data Engineer

Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Whether you"re creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast.

Data Engineer Internship - 2027 (US)

FULL_TIME

We are open to senior data engineers, analytics engineers ready to step up the stack, and platform engineers who want to specialize in data. This is a high-trust seat reporting to the head of data with real budget, real ownership, and a small team to build out.

Careerscape

Senior Data Engineer

CS-Recruiters

Distributed System Construction: Build industry-leading distributed systems, including offline and online storage based on Paimon and batch and stream processing frameworks based on Flink, providing solid and reliable infrastructure support for massive data and large-scale business systems. For problems that occur in the Paimon-Flink architecture during operation, design and implement necessary mechanisms and tools, such as data consistency assurance and exception recovery, to ensure the overall stability of the production system.

TikTok Inc

Senior/Staff Big Data Storage and Computing Engineer, Recommendation Data Ecosystem

This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. You'll partner with Engineering, Product and other teams to turn raw data into reliable metrics, reporting and insights, and you'll make sure teams have accurate metrics for our consumer products from idea to launch.

Data Engineer, Product

Ability to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users. Ability to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices.

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Data engineer - Seattle WA Georgia Tek Systems

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