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data pipeline engineer

WeVision LLC

Employment Type: Contract / RemoteAbout the RoleWe are seeking a Senior Data Quality Engineer to support data platform initiatives for a leading global streaming and media technology company. This role is focused on ensuring the accuracy, reliability, and integrity of large-scale data systems and pipelines that power analytics, marketing, and business insights across the organization.As a Senior Data Quality Engineer, you will work closely with data engineers, analysts, and product teams to validate complex data pipelines and ensure that every release meets strict quality standards before reaching production. Your work will play a critical role in maintaining trusted data that supports key business decisions and customer insights.What You Will Do<ul><li>Validate ETL processes, transformation logic, and business rules across modern data platforms such as Snowflake and Databricks before code changes are released to production.</li><li>Partner closely with data engineering teams to proactively identify potential risks or data issues early in the development lifecycle.</li><li>Ensure the quality of every release through comprehensive testing strategies, including unit, integration, regression, and end-to-end data validation.</li><li>Design and implement automated and reusable tests to improve coverage, reduce regression risk, and accelerate development cycles.</li><li>Translate business and technical requirements into data validation scenarios that verify KPIs, metrics, and reporting accuracy.</li><li>Define and manage data quality metrics, SLAs, and validation frameworks for assigned data domains.</li><li>Improve and expand the existing data testing frameworks with a strong focus on automation and scalability.</li><li>Collaborate with data analysts, product managers, and engineering teams to ensure data accuracy, completeness, and usability.</li><li>Serve as a subject matter expert (SME) for data quality practices, mentoring junior engineers and supporting best practices across teams.</li></ul>Basic Qualifications<ul><li>5+ years of experience validating data pipelines, ETL processes, and data warehouse systems.</li><li>Expert-level SQL skills with experience analyzing and validating large datasets (terabytes or more).</li><li>Hands-on experience with modern data platforms such as Snowflake, Hive, Databricks, or similar technologies.</li><li>Strong Python programming skills with experience building automated tests for data pipelines.</li><li>Familiarity with data pipeline orchestration and processing tools such as Airflow and Spark.</li><li>Strong analytical thinking and problem-solving abilities with high attention to detail.</li><li>Excellent collaboration and communication skills with the ability to work effectively across technical and business teams.</li></ul>Preferred Qualifications<ul><li>Experience with BDD testing frameworks such as Behave.</li><li>Experience working in cloud environments such as AWS.</li><li>Familiarity with data observability and quality monitoring tools such as Deequ, Great Expectations, Monte Carlo, or Datafold.</li><li>Experience with AI-assisted development tools such as GitHub Copilot or similar developer productivity tools.</li><li>Experience working in streaming, digital media, or large-scale consumer technology environments.</li></ul>Location PreferenceWhile this role is open to candidates across the U.S., candidates based in California or Utah are strongly preferred.Job Type: Full-timePay: $100,000.00 - $150,000.00 per yearWork Location: Hybrid remote in Irvine, CA 92618

Sr. Data Quality Engineer

Pacer Group

<div>
 
 Analyze business requirements and translate them into technical designs.
 
 
 Experience in data modeling, data design, and building data pipelines, with a strong understanding of end-to-end data flow.
 
 
 Design, develop, and implement robust data architecture and data models.
 
 
 Data Architecture
 
 
 Python
 
 
 Informatica IDMC
 
 
 Business Systems Analysis skills with knowledge of data pipeline
 
 
 Oracle Exadata
 
</div>

Business Data Analyst

Revelyst

<div><h1 class="jobSectionHeader">Job Description
</h1>Revelyst is a collective of makers who design and manufacture performance gear and precision technologies. Our category-defining brands leverage meticulous craftsmanship and cross-collaboration to pursue innovation and redefine what is humanly possible in the outdoors.
We are adding an experienced Senior Data Engineer who will lead the design, development, and optimization of robust data pipelines and enterprise data solutions. The person in this role will mentor junior team members, define best practices, and collaborate with cross-functional teams to drive data strategy and architecture. This role requires deep technical expertise and the ability to architect scalable, secure, and high-performance data systems.
This position reports to the Manager, IT &amp; Business Analytics and is located Onsite 4 days per week in Irvine, CA.
As the Senior Data Engineer, you will have the opportunity to:
<ul><li>Design, build, and optimize large-scale ETL/ELT pipelines using Azure Data Factory (ADF) and other cloud-native tools.
</li><li>Architect and implement complex data models, database schemas, and data lakehouse structures.
</li><li>Lead data integration initiatives across enterprise systems, ensuring reliability, quality, and performance.
</li><li>Establish data engineering standards, governance, and best practices.
</li><li>Troubleshoot and enhance production data workflows.
</li><li>Collaborate with analytics, product, and business teams to deliver scalable data solutions.
</li><li>Demonstrate strong self-motivation and ownership by proactively identifying improvements, risks, and opportunities within data systems.
</li><li>Apply engineering best practices to prevent technical debt, ensure long-term maintainability, and mitigate scaling or performance issues.
</li><li>Work closely with internal and external teams to support integrations, resolve technical issues, and ensure smooth data exchange across platforms.
</li></ul>You Bring:
<ul><li>Advanced SQL expertise
</li><li>Strong experience with Azure technologies including ADF, Azure Databricks, Azure Data Lake Storage, and Azure Synapse
</li><li>Expertise in data modeling, database optimization, and distributed data processing
</li><li>Proficiency in Python or similar scripting languages
</li><li>Experience with Spark or other big data processing frameworks
</li><li>Experience with retail and sales data
</li></ul>Preferred Qualifications:
<ul><li>Azure Data Engineer Associate or Architect-level certifications
</li><li>Experience mentoring junior engineers
</li><li>Experience with CI/CD for data pipelines and DevOps tooling
</li><li>Experience specifically in ERP data with a focus on SAP
</li></ul>Pay Range:
Annual Salary: $123,000.00 - $140,000.00
The actual annual salary offered to a candidate will be based on variables including experience, geographic location, education, and skills/achievements, and will be mutually agreed upon at the time of offer.
We offer a highly competitive salary, comprehensive benefits including: medical and dental, vision, disability and life insurance, 401K, PTO, paid holidays, gear discounts and the ability to add value to an exciting mission!
Our Postings are not intended for distribution to or use in any jurisdiction, country or territory where such distribution or use would violate local law or would subject us to any regulations in another jurisdiction, country or territory. We reserve the right to limit our Postings in any jurisdiction, country or territory.
Equal Opportunity Employer Protected Veteran/Disabled</div>

Sr. Data Engineer

Employment Type: Contract/remoteAbout the RoleWe are seeking a Sr. Data Engineer Consultant to support the development and enhancement of a large-scale Audience Data Platform (AMP) for a leading global streaming and media technology company.This platform serves as the centralized audience data hub, capturing and processing consumer behavior across multiple channels and delivering summarized insights to downstream systems that support marketing, analytics, product, and business decision-making.As a Sr.Data Engineer Consultant, you will play a key role in building scalable and reliable data infrastructure that enables the organization to maintain a comprehensive and trusted source of customer data. Your work will directly impact how teams across the company understand audiences, generate insights, and activate data-driven strategies.What You Will Do<ul><li>Design, develop, and maintain large-scale data pipelines that capture and process consumer interaction data across multiple platforms.</li><li>Contribute to the development of the Audience Manager Platform (AMP), a centralized system that unifies customer profiles and provides a trusted source of audience insights.</li><li>Build scalable and fault-tolerant data processing systems to ensure reliable delivery of audience data to multiple business endpoints.</li><li>Develop backend data services and pipelines that support data ingestion, transformation, and activation workflows.</li><li>Work with cross-functional teams including data scientists, analytics teams, product teams, and business stakeholders to enable timely access to high-quality audience data.</li><li>Optimize and maintain distributed data processing frameworks to improve system performance and scalability.</li><li>Ensure high data quality, reliability, and observability across production data systems.</li><li>Serve as a technical point of contact or SME for data engineering systems in a multi-system production environment.</li></ul>Basic Qualifications<ul><li>4+ years of experience in big data engineering, building and maintaining large-scale data pipelines.</li><li>Hands-on experience with distributed data processing systems such as Spark (PySpark) or Flink.</li><li>Strong programming skills in Python and SQL for processing large datasets.</li><li>Experience with at least one MPP or cloud data warehouse such as Snowflake, Redshift, BigQuery, or Databricks.</li><li>Solid understanding of data modeling, data warehousing concepts, and best practices.</li><li>Experience supporting production data environments and acting as a technical point of contact or subject matter expert.</li><li>Strong analytical, problem-solving, and communication skills, with high attention to detail.</li></ul>Preferred Qualifications<ul><li>Experience working with AWS cloud technologies (e.g., S3, ECS, EMR, EC2, Lambda).</li><li>Hands-on experience with data orchestration and integration tools such as Airflow.</li><li>Familiarity with CI/CD practices for data pipelines.</li><li>Experience working within Agile or Scrum development environments.</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or a related technical field, or equivalent practical experience.</li><li>Minimum of 4 years of relevant professional experience in data engineering or related roles.</li></ul>Location PreferenceWhile this role is open to candidates across the U.S., candidates based in California or Utah are strongly preferred.Job Type: Full-timePay: $100,000.00 - $160,000.00 per yearWork Location: Hybrid remote in Irvine, CA 92618

Sr. Data Engineer-Audience Data Platform

Better Debt Solutions

<div>Better Companies is a multi-brand financial services organization providing debt relief, tax support, and business funding solutions. We're strengthening our operations, refining our systems, and building a more cohesive, efficient experience across our brands. Our approach is grounded in transparency, strong operational foundations, and well-structured processes that support reliable execution and scalable growth.

We are seeking a Data Engineer with Microsoft Fabric experience to help design and build 
scalable data pipelines, Lakehouse architecture, and analytics-ready datasets within our 
enterprise data platform.

Responsibilities<div> 
<ul><li>Build and optimize data pipelines and Lakehouse architecture using Microsoft Fabric and</li></ul>
Azure 
<ul><li>Develop Python, PySpark, and SQL transformations for large-scale data processing</li><li>Design dimensional models and analytics-ready datasets</li><li>Support AI/ML workflows using Azure OpenAI and Azure Machine Learning</li><li>Collaborate with analytics teams, business stakeholders, and vendor partners to deliver</li></ul>
reliable data solutions</div>

Tech Stack 
Microsoft Fabric, OneLake, Azure Data Factory, Python, PySpark, SQL, Delta Lake, Azure 
OpenAI, Azure Machine Learning 

Qualifications<div> 
<ul><li>3&ndash;5 years of experience in data engineering or data platforms</li><li>Experience with Microsoft Fabric and Azure data services</li><li>Strong Python, PySpark, and SQL skills</li><li>Experience building ETL/ELT pipelines and enterprise data warehouse environments</li></ul></div> 


Compensation Range: $120,000- $155,000 base salary depending on experience, plus benefits.</div>

Data Warehouse Engineer – Microsoft Fabric / Azure

Dataflix

<div><div>Overview:
We are looking for a Data Engineer with strong background in PySpark/Big Data development and Hadoop, with a minimum of 5 years of relevant experience in Big Data alone and Total 7+ Years of Exp. Proficiency in Hadoop, Hive, Spark, Unix, scala, SQL and Python. 
Roles and Responsibilities:<ul><li>
Develop, implement, and design data pipelines and ETL processes to efficiently ingest, transform, and load large volumes of data.</li><li>
Collaborate with cross-functional teams to gain insights into data requirements and devise scalable solutions for data storage, processing, and retrieval.</li><li>
Fine-tune and optimize data processes to ensure exceptional performance, reliability, and data integrity.</li><li>
Utilize PySpark, Spark, Hadoop, to build robust data solutions.</li><li>
Keep abreast of the latest industry best practices and emerging technologies in data engineering.</li><li>
Address and troubleshoot issues related to data pipelines and processing.</li><li>
Participate actively in code reviews and offer constructive feedback to enhance code quality.</li></ul> 
Qualifications:<ul><li>
Strong experience with Hadoop and its ecosystem tools such as Spark, Kafka, Hive, and Sqoop</li><li>
Proficiency in SQL for data analysis, querying, and performance optimization</li><li>
Hands-on experience with Unix/Linux environments</li><li>
Programming experience in Scala and Python for data processing and pipeline development</li><li>
Experience working with large-scale datasets and distributed data processing frameworks</li><li>
Good understanding of ETL processes, data pipelines, and big data architecture</li></ul></div></div>
 <div><div>Location
Irvine, United States
</div><div>Salary
$80 - $88 /hour
</div><div>Job Type
Contract
</div><div>Date Posted
March 10th, 2026</div></div>

Hadoop Data Engineer

Skyworks Solutions, Inc.

<div>
 If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
 
 
 At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
 
 
 Requisition ID: 75764
 
 
 
 Description
 
 
 
 Skyworks Solutions is seeking a
 
 Machine Learning Engineer (MLE)
 
 to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role designed for individuals who thrive at the intersection of cutting-edge machine learning, signal processing, and semiconductor innovation. If you&rsquo;re looking to apply your ML expertise to high-impact, real-world engineering challenges in the analog and RF domain, this is your opportunity.
 
 
 Skyworks is an innovator of high-performance analog semiconductors enabling next-generation wireless communications. From 5G to IoT to automotive, our technologies are helping to connect the world. At Skyworks, you&rsquo;ll find a fast-paced environment with a flat organizational structure and global collaboration. We value open communication, creativity, mutual respect, and technical excellence.
 
 
 
 Responsibilities
 
 
 
 As a Machine Learning Engineer on the Data Analytics and AI Enablement team, you will lead and contribute to projects that apply advanced ML and deep learning to a variety of use cases across the company&mdash;including design automation, yield prediction, anomaly detection, signal classification, and device modeling. You will collaborate with world-class engineers across electrical, RF, product, and manufacturing domains to deliver real business impact through data and AI.
 
 
 <ul>
 <li>
 Predictive analytics for yield and quality improvement
 </li>
 <li>
 Optimization of circuit or device parameters
 </li>
 <li>
 RF signal modeling and anomaly detection
 </li>
 <li>
 Root-cause analysis across test and manufacturing data
 </li>
 <li>
 Own the end-to-end ML pipeline: data acquisition, feature engineering, model selection, training, evaluation, deployment, and monitoring.
 </li>
 <li>
 Collaborate with cross-functional stakeholders including design engineers, process experts, and product owners to understand problem statements and translate them into ML solutions.
 </li>
 <li>
 Work on both research-oriented prototypes and production-grade deployments.
 </li>
 <li>
 Stay up-to-date with current trends in ML, especially those relevant to semiconductor, signal processing, or high-dimensional time-series data.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 BS and 8 years experience (Ph.D. preferred) in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
 </li>
 <li>
 Strong theoretical and practical experience in machine learning and deep learning, including CNNs, transformers, time-series models, or probabilistic methods.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
 </li>
 <li>
 Solid understanding of statistics, optimization, and model evaluation techniques.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work across disciplines and teams.
 
 
 </li>
 </ul>
 
 Desired Experience And Skills
 
 
 
 <ul>
 <li>
 Exposure to semiconductor, electronics, or RF system domains (e.g., basic understanding of circuit behavior, test data, signal integrity).
 </li>
 <li>
 Experience working with large, complex datasets (e.g., sensor, waveform, or EDA simulation outputs).
 </li>
 <li>
 Familiarity with data infrastructure and workflow orchestration (e.g., Airflow, MLflow, or cloud platforms).
 </li>
 <li>
 Contributions to peer-reviewed research, patents, or open-source ML projects.
 
 
 </li>
 </ul>
 The typical base pay range for this role across the U.S. is currently USD $91,200 - $177,200 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.
 
 
 Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
 
 
</div>

Data Scientist

Explore 97+ Data pipeline engineer in Irvine this March. Find roles across top companies and apply now to boost your career.