gcp data engineer

S Mobile Wireless LLC

<p><b>Position &ndash; GCP Data Engineer</b></p><p><b>Location &ndash; Phoenix, AZ (Only Local - In-person Interview)</b></p><p><b>Duration &ndash; 12+ Months</b></p><p><b>Only Local to Arizona profiles will be considered. Should have 8 years of Experience.</b></p><p><b>Required Qualifications:</b></p><p>We are looking for an experienced <b>Data Engineer (Engineer II &ndash; ETL)</b> with strong expertise in <b>Big Data, Data Warehousing, and GCP</b>. The ideal candidate should have hands-on experience in data transformation, strong SQL skills, and extensive experience with PySpark.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and maintain scalable ETL pipelines on <b>GCP (LUMI platform)</b></li><li>Perform complex data transformations using <b>PySpark</b></li><li>Write optimized and high-performance <b>SQL queries</b></li><li>Work on data backfill processes and large-scale data migrations</li><li>Design and implement data models for enterprise data platforms</li><li>Ensure data quality, integrity, and governance standards</li><li>Collaborate with Data Architects and Business teams</li></ul><p><b>Required Skills:</b></p><ul><li>Strong experience in <b>Big Data &amp; Data Warehousing</b></li><li>Hands-on experience with <b>Google Cloud Platform (GCP)</b></li><li>Expertise in <b>PySpark</b></li><li>Advanced knowledge of <b>SQL</b></li><li>Experience with <b>data modeling</b></li><li>Experience with data backfill and large data processing</li><li>Strong understanding of ETL frameworks</li></ul><p>Job Type: Contract</p><p>Pay: $55,276.82 - $70,548.43 per year</p><p>Location:</p><ul><li>Phoenix, AZ (Required)</li></ul><p>Work Location: In person</p>

GCP Data Engineer

Tricon Solutions

<div><h3 class="jobSectionHeader"><b>Job Title: GCP Data Engineer</b></h3>
<p><b>Location:</b> Fully Remote</p>
<p><b>Type</b>: Ongoing contract - W2</p>
<p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p>As a Data Engineer, you will be a key member of an agile team dedicated to designing, building, and scaling innovative business data products on a modern <b>Google Cloud Platform (GCP)</b> data ecosystem. You will collaborate closely with business stakeholders and IT partners to transform complex data requirements into robust, scalable, and reliable analytical solutions that drive business decisions.</p>
<p></p><h3 class="jobSectionHeader"><b>What You&rsquo;ll Do</b></h3>
<ul><li><p>Design, develop, and maintain scalable and reliable data pipelines and data products within the <b>Google Cloud Platform (GCP)</b> ecosystem.</p>
</li><li><p>Build and optimize ETL/ELT processes using tools such as <b>Dataflow, Dataform, and Matillion</b> to ingest and transform data from a variety of sources.</p>
</li><li><p>Leverage <b>Google BigQuery</b> to model, store, and deliver data for analytics and advanced business intelligence applications.</p>
</li><li><p>Develop and maintain compelling analytics solutions for BI and data visualization platforms such as <b>Quick Suite or Looker</b>.</p>
</li><li><p>Collaborate with stakeholders to gather requirements and translate them into detailed technical design specifications and discovery documentation.</p>
</li><li><p>Write clean, efficient, and well-tested application software, including SQL scripts and procedures, ensuring it meets functional and performance requirements.</p>
</li><li><p>Proactively troubleshoot, debug, and resolve data and application issues, providing post-implementation and rotational on-call support to ensure business continuity.</p>
</li><li><p>Provide technical leadership and mentorship within the team, sharing expertise and promoting best practices.</p>
</li><li><p>Partner with external vendors on co-development initiatives to deliver integrated solutions.</p>
</li><li><p>Maintain clear and proactive communication with the Information Engineering Technical Lead and team members regarding project status, risks, and concerns.</p>
</li><li><p>Ensure all solutions are compliant with departmental SOPs and contribute to process improvements.</p></li></ul></div>

GCP Data Engineer - W2/Remote

Tredence Inc.

<div>
 <p>
  <strong>
   <u>
    About Tredence&shy;:
   </u>
  </strong>
 </p>
 <p>
  Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. The largest companies across industries are engaging with Tredence and deploying its prediction and optimization solutions at scale &ndash;empowering end users to improve decision making. Headquartered in the San Francisco Bay Area, the company serves clients in the US, Canada, Europe, and SE Asia. Learn more at www.tredence.com
 </p>
 <p>
  <strong>
   Skills Required:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   5+ years of experience in Data Engineering.
  </li>
  <li>
   Experience with building data pipelines on cloud native environments.
  </li>
  <li>
   Hands-on experience in SQL and Spark.
  </li>
  <li>
   Experience with GCP, Big Query.
  </li>
  <li>
   Experience with Airflow, AFaaS/ DPaaS,
  </li>
  <li>
   Python - Intermediate
  </li>
  <li>
   Good with client communication and ability to manage and work with offshore team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About you:
  </strong>
 </p>
 <p>
  You are self-motivated, collaborative, eager to learn, and hands on
 </p>
 <p>
  You love trying out new apps, and find yourself coming up with ideas to improve them
 </p>
 <p>
  You stay ahead with all the latest trends and technologies
 </p>
 <p>
  You are particular about following industry best practices and have high standards regarding quality
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why join Tredence?
  </strong>
 </p>
 <p>
  There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. We offer a 401k match; full medical, dental and vision benefits, a fun team atmosphere and a work life balance. Our people are our greatest asset and we value every one of them. Come see why we&rsquo;re so successful in one of the most competitive and fastest growing industries in the world
 </p>
</div>


Lloyds Technology Centre

<div></div><div><div>End Date</div>
Sunday 22 March 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
We are looking for an engineer with strong hands‑on experience in Google Cloud Platform, SQL, and both relational and non‑relational databases, with solid knowledge of Git and Agile methodologies. The role also benefits from expertise in Python, unit testing, Kafka streaming, dbt, and CI/CD pipelines. GCP Professional Data Engineer certification is an added advantage.<div></div><div>
Job Description</div><div><div><div>
Experience: 7 - 12 years</div><div>
Location: Hyderabad</div><div>
If you think all banks are the same, you&rsquo;d be wrong! We&rsquo;re an innovative, constantly evolving business that&rsquo;s shaping finance as a force for good. A bank that&rsquo;s empowering its people to innovate, explore possibilities and grow with purpose.</div></div><div><div>
Lloyds Banking Group is rapidly becoming digital-first, leading in the UK with over 12 million online and almost 8 million mobile banking customers. There's a big opportunity here for you to join our Front-end Engineering team and take part in this transformation. As an experienced team member, show your strong software skills and mentor junior members. You'll thrive in a flexible, collaborative setting where your work on web, mobile, and tablet apps directly impacts millions every day. We're offering great growth opportunities, but it requires you to take initiative, build relationships, and make things happen. Your efforts can positively affect our customers, colleagues and communities.</div></div><div></div><div><div><br>
What we're looking for:</div></div><div><div>
The overall vision within the Client Servicing &amp; Engagement Platform is to promote value for our customers and colleagues. Our team is looking for an experienced Data Engineer.</div></div><div></div><div><div><br>
Important Skills:</div><div></div><div><div><div>
Cloud Computing: P1</div></div><div><ul><li><div>
GCP Services: Familiarity with GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub for data handling and analysis</div></li></ul></div><div><ul><li><div>
Data Integration: Ability to integrate data from various GCP sources using tools like BigQuery external tables and federated queries</div></li></ul></div></div><div><div><ul><li><div>
Security and Compliance: Understanding of data security practices, including encryption and access controls</div></li></ul></div><div><ul><li><div>
Azure Services: Proficiency in Azure services like Azure Data Factory, Azure Functions and Azure Blob Storage</div></li></ul></div></div></div><div></div><div><div><div>
Data Engineering: P2</div></div><div><ul><li><div>
ETL Processes: Proficiency in Extract, Transform, Load (ETL) processes to handle data ingestion, transformation, and loading</div></li></ul></div><div><ul><li><div>
Big Data Technologies: Experience with tools like Hadoop, Spark, and Hive for processing large datasets</div></li></ul></div><div><ul><li><div>
Database Management: Knowledge of SQL and NoSQL databases, including optimization and performance tuning</div></li></ul></div><div>
Kafka: P3</div></div><div><ul><li><div>
Apache Kafka: Deep understanding of Apache Kafka, including its architecture, components, and data streaming capabilities</div></li></ul></div><div><ul><li><div>
Distributed Systems: Knowledge of distributed systems principles, such as data replication, partitioning, and fault tolerance</div></li></ul></div><div><ul><li><div>
Programming: Proficiency in Java for writing custom producers, consumers, and connectors</div></li></ul><div></div><div>
Additional Skills:</div></div><div><div>
Microsoft Dynamics: 3</div></div><div><ul><li><div>
Dynamics 365: Proficiency in Dynamics 365 for managing customer data and business processes.</div></li></ul></div><div><ul><li><div>
Integration: Experience integrating Dynamics with other data sources and platforms, including GCP.</div></li></ul></div><div><div>
Analytical Skills</div></div><div><ul><li><div>
Data Analysis: Ability to analyse and interpret data to provide actionable insights.</div></li></ul></div><div><ul><li><div>
Problem-Solving: Strong problem-solving skills to address data-related challenges.</div></li></ul></div><div><div>
Soft Skills</div></div><div><ul><li><div>
Collaboration: Effective communication and collaboration with data scientists, analysts, and other stakeholders</div></li></ul></div><div><ul><li><div>
Continuous Learning: Staying updated with the latest trends and technologies in data engineering and cloud computing</div></li></ul></div><div></div><div><div><br>
What will you get in return?</div></div><div><div>
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We</div></div><div><div>
were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated working with cancel initiative. And it's why we especially welcome applications from underrepresented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.</div></div><div><div>
We're passionate about creating a values-led culture, and our approach to inclusion and diversity means that we all have the chance to create a real difference, together.</div></div><div><div>
This role offers an outstanding opportunity to work on a multifaceted and evolving subject matter, and we can't wait to meet you.</div></div></div><div></div><div><div><br>
Flexible Working Options</div></div><div><div>
Hybrid Working - We support flexible working and encourage 40% per week in the office and the rest from home.</div></div></div>

Data Engineer

LiveKit

<div><p>LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI, Salesforce, Coursera, Spotify, and thousands of others, collectively facilitating billions of calls each year.</p><p></p><h2 class="jobSectionHeader"><b>
You'll thrive at LiveKit if you:</b></h2><ul><li><p>
obsess with crafting code that is fast, reliable and practical for the problem</p></li><li><p>
are known as the go-to person for tackling tough technical problems</p></li><li><p>
work hard and can build <i>and</i> ship fast</p></li><li><p>
can clearly explain complex technical concepts to others</p></li><li><p>
are a fast learner, frequently picking up new languages and tools</p></li></ul><p>
The best way to impress us is with thoughtful Issues and/or PRs on our Github repos
</p><p></p><h2 class="jobSectionHeader"><b>About This Role:</b></h2><p>
As a Data Engineer at LiveKit, you'll own the analytics infrastructure that powers our business intelligence and data analysis capabilities. Working closely with the Head of Data and analytics peers, you'll design and implement scalable GCP-based data pipelines &mdash; from ingestion through transformation to delivery &mdash; maximizing the GCP ecosystem for cost-effective solutions while integrating additional services or homegrown tooling where appropriate. While analytics infrastructure is the core focus, you'll also engage with the broader application data infrastructure, contributing your data pipeline expertise to support product and engineering needs. This is a foundational IC role with significant ownership over the architecture and direction of our analytics stack as the team grows.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do:</b></h2><p><b>
Own the Analytics Infrastructure:</b> You are the end-to-end owner of our GCP-based data infrastructure &mdash; including ingestion, movement, storage, security, and availability. You build and operate reliable, scalable pipelines that power analytics, and partner closely with the Analytics team on downstream transformation and BI.</p><p><b>
Maximize the GCP Ecosystem:</b> Build cost-effective solutions anchored in GCP-native services. Know when to extend with third-party tooling or homegrown solutions, and make pragmatic tradeoffs.</p><p><b>
Contribute Across Data Infrastructure:</b> While analytics is the primary focus, you'll bring broad data pipeline expertise to application data needs in collaboration with the product engineering team.</p><p><b>
Managed Services First:</b> Favor managed solutions over self-hosting. Evaluate build vs. buy with cost and operational burden in mind.</p><p><b>
Engineering Standards:</b> This role reports to the Head of Data within the Engineering org. Expect PR reviews, automated testing, proper change management, and production-grade standards.</p><p><b>
AI-First Development:</b> Work extensively with AI coding assistants and contribute to evolving our AI development workflows and infrastructure.</p><p><b>
Startup Pace:</b> Priorities shift quickly. Balance long-term architectural thinking with the tactical execution the moment requires.</p><p></p><h2 class="jobSectionHeader"><b>
Who You Are:</b></h2><ul><li><p>
8+ years of experience in data engineering with strong Python and SQL expertise</p></li><li><p>
Deep expertise in GCP, with hands-on experience in BigQuery, Dataflow, Cloud Storage, and related analytics services</p></li><li><p>
Proven ability to design and implement production-grade data pipelines and aggregation layers for BI and analysis</p></li><li><p>
AI-first development mindset with hands-on experience building AI-driven workflows and effectively using AI coding assistants</p></li><li><p>
Strong understanding of data modeling, transformation patterns, and working with dbt</p></li><li><p>
Experience with data movement tools (Estuary, Airbyte, Fivetran, or similar)</p></li><li><p>
Solid infrastructure and DevOps fundamentals: Terraform or similar IaC, CI/CD, Git workflows, and change management</p></li><li><p>
Experience implementing observability and monitoring for data systems (DataDog, Grafana, or similar)</p></li><li><p>
Strong communication skills and ability to work cross-functionally with engineering and business stakeholders</p></li><li><p>
Self-directed and comfortable with ambiguity in a fast-paced startup environment</p></li><li><p>
Located in the US or Canada</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Bonus:</b></h2><ul><li><p>
Experience coordinating with dbt and analytics engineering teams</p></li><li><p>
Background with AI workflow tools (n8n or similar)</p></li><li><p>
Background with AI coding assistants</p></li><li><p>
Prior experience as an early infrastructure hire building from the ground up</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our Commitment to You:</b></h2><ul><li><p>
An opportunity to build something truly impactful to the world</p></li><li><p>
Contribute to open source alongside world-class engineers</p></li><li><p>
Competitive salary and equity package</p></li><li><p>
Health, dental, and vision benefits</p></li><li><p>
Flexible vacation policy</p></li></ul><p>
Compensation Range: $195K - $245K</p></div>

Müller's Solutions

<div>
 M&uuml;ller's Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services
  </li>
  <li>
   Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing
  </li>
  <li>
   Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs
  </li>
  <li>
   Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise
  </li>
  <li>
   Ensure data quality by developing and implementing validation routines and data profiling techniques
  </li>
  <li>
   Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team
  </li>
  <li>
   Stay informed of emerging trends and best practices in data engineering and GCP technologies
  </li>
  <li>
   Participate in team efforts to define and enhance data governance and management practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
  </li>
  <li>
   3+ years of experience in data engineering, with a focus on Google Cloud Platform
  </li>
  <li>
   Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools
  </li>
  <li>
   Strong SQL skills and experience in data modeling and data warehousing concepts
  </li>
  <li>
   Familiarity with programming languages such as Python or Java for data processing tasks
  </li>
  <li>
   Ability to work with various data sources, including structured and unstructured data
  </li>
  <li>
   Strong analytical and problem-solving skills with attention to detail
  </li>
  <li>
   Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable
  </li>
  <li>
   Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub
  </li>
  <li>
   Understanding of CI/CD practices in data engineering workflows
  </li>
  <li>
   Knowledge of data visualization tools and techniques to present data insights effectively
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 1- Attractive Package.
 <br/>
 <br/>
 2- Family Benefits.
 <br/>
 <br/>
 3- Visa.
 <br/>
 <br/>
 4-Air Tickets.
</div>


Google Cloud Data Engineer

Muller's Solutions

<div><p>M&uuml;ller&rsquo;s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.</li><li>
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.</li><li>
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.</li><li>
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.</li><li>
Ensure data quality by developing and implementing validation routines and data profiling techniques.</li><li>
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.</li><li>
Stay informed of emerging trends and best practices in data engineering and GCP technologies.</li><li>
Participate in team efforts to define and enhance data governance and management practices.</li></ul><br>
<b>
Requirements</b><p><b><br>
Requirements:</b></p><ul>
<li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>3+ years of experience in data engineering, with a focus on Google Cloud Platform.</li>
<li>Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.</li>
<li>Strong SQL skills and experience in data modeling and data warehousing concepts.</li>
<li>Familiarity with programming languages such as Python or Java for data processing tasks.</li>
<li>Ability to work with various data sources, including structured and unstructured data.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.</li>
</ul><p><b>Preferred Qualifications:</b></p><ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.</li>
<li>Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.</li>
<li>Understanding of CI/CD practices in data engineering workflows.</li>
<li>Knowledge of data visualization tools and techniques to present data insights effectively.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
1- Attractive Package.
</p><p>2- Family Benefits.
</p><p>3- Visa.</p><p>
4-Air Tickets.</p></div><p></p>

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