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big data engineer

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

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

Slalom

<div>
 
 Role: Data Engineer
 
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation. We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change. We&rsquo;re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.
 
 
 Slalom's Data Engineering Discipline Is Focused On Injecting Intelligence Into Products, Engineering Systems That Support Learning And Insight And Creating Innovative Data Products. Within Data Engineering We Help Customers Build World-class Products Through Effective Use Of
 
 
 <ul>
 <li>
 Data engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
 </li>
 <li>
 Enhancing Machine Learning and Artificial Intelligence capabilities
 </li>
 <li>
 You will work collaboratively with teams in a hybrid environment, with expectation to be in-person with Slalom team members and clients as needed.
 </li>
 <li>
 You also must be within commutable distance to one of the listed Slalom office locations for this role.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.
 
 
 As a Data Engineer for Slalom, you will work in collaborative teams to deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.
 
 
 You will be engaged to participate in design sessions and be responsible for the timely completion of development items assigned to you in a project backlog.
 
 
 
 What You&rsquo;ll Bring
 
 
 
 You will have an interest to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore the range of technologies that we help our clients with including:
 
 
 <ul>
 <li>
 Big Data Platforms (Apache Spark, Presto, Amazon EMR)
 </li>
 <li>
 Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
 </li>
 <li>
 Object Oriented Coding (Java, Python)
 </li>
 <li>
 NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
 </li>
 <li>
 Container Management Systems (Kubernetes, Amazon ECS)
 </li>
 <li>
 Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
 </li>
 <li>
 Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
 </li>
 <li>
 Visual Analytics (Tableau, PowerBI)
 </li>
 <li>
 Modern Data Workflows (Apache Airflow, dbt, Dagster)
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.
 
 
 
 Compensation And Benefits
 
 
 
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 
 
 Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges outlined below. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual&rsquo;s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
 
 
 <ul>
 <li>
 Los Angeles, Orange County, San Diegeo
 </li>
 <ul>
 <li>
 Consultant: $99,000 - $133,000
 </li>
 </ul>
 <li>
 Phoenix
 </li>
 <ul>
 <li>
 Consultant: $91,000 - $122,000
 
 </li>
 </ul>
 </ul>
 We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com.
 
 
 
 EEO and Accommodations
 
 
 
 
 Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact
 
 
 accomodationrequest@slalom.com
 
 
 if you require accommodations during the interview process.
 
</div>

Data Engineer

WeVision LLC

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

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

LTIMindtree

<div>Role description 
Job description:

We are seeking a highly experienced Senior Testing Engineer to drive quality assurance for a largescale Master Data Management MDM modernization initiative The ideal candidate will have deep expertise in data quality ETL processes and data standardization techniques ensuring robust and reliable data solutions across enterprise systems.

Key Responsibilities

Senior QA to run end-to-end testing activities for MDM modernization projects.

Develop comprehensive test strategies plans and scripts for data migration integration and transformation.

Must have experience managing large scale Data modernization initiative and Stakeholders communication.

Validate data quality consistency and integrity across multiple systems and platforms

collaborate with development data engineering and business teams to ensure alignment on requirements and deliverables.

Perform functional integration and performance testing for ETL workflows and MDM components.

Ensure compliance with data governance standards and best practices.

Drive address standardization and enrichment testing for customer and vendor data

provide defect management and root cause analysis for data related issues.

Required Skills Experience:

10 years of experience in software testing with a focus on datacentric projects

Proven experience in Master Data Management MDM initiatives modernization or implementation.

Strong knowledge of ETL tools and processes Informatica Talend or similar

Expertise in data quality frameworks data profiling and data validation techniques

Handson experience with data standardization including address standardization and enrichment

Familiarity with Informatica SaaS MDM preferred but not mandatory

Solid understanding of data governance principles and metadata management

Excellent communication and leadership skills to manage cross functional teams

Nice to Have

Experience with cloud-based data platforms AWS

Knowledge of data security and compliance standards

Exposure to Agile methodologies and tools like Jira Q-Test and Confluence. 
Skills 
Mandatory Skills: INFORMATICA-MDM, MDM Conceptual

Job Title: Senior Data Testing Engineer Master Data Management MDM Modernization

Location: Irvine, CA (4 days onsite/week)

Duration: 6 Months C2H. 
Benefits 
Compensation range: $65.00 to $80.00 per hour 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Senior Data Testing Engineer Master Data Management MDM Modernization

Explore 99+ Big data engineer in Irvine this March. Find roles across top companies and apply now to boost your career.