data quality engineer

Apple

<div>Be part of the Quality Engineering team responsible for delivering high-quality data which will enable the next-generation health sensing technologies and algorithms. We are looking for motivated and talented individuals to help ensure robustness, accuracy, and stability of large scale data processing pipelines and data monitoring tools. In this technically challenging role you will work together with algorithms, data engineering and quality assurance teams to build stable and high performance testing, monitoring and analytical services for scalable data platforms. 
 
Description 
 
This role is essential to enabling Health Algorithms research by ensuring high quality data at scale. You will be collaborating with multi-functional teams such as the data engineering, data science, algorithms, design, operations and QA teams to test, validate and monitor data platforms and the data flowing through them. To do that, you will need to design, develop and maintain/own software services and test automation frameworks. Your work will have direct and essential impact to future Apple products. 
 
<ul><li>Design, own and maintain scalable and robust test automation frameworks, create services and tools for testing and monitoring of data processing infrastructure and of data monitoring reports.</li></ul> 
<ul><li>Provide feedback and reporting on data pipelines and inform partnering teams of issues or progress.</li></ul> 
<ul><li>Test the functionality and accuracy of data pipelines and data monitoring tools by leveraging Python and Spark.</li></ul> 
<ul><li>Understand complex software and data processing systems and be able to break the systems down into smaller components in order to deep dive into the implementation to ensure robust and reliable data processing produces the highest quality of data.</li></ul> 

Preferred Qualifications 
 
2+ years of relevant industry experience 
 
Strong software development skills, with 2+ years experience programming in Python 
 
Experience leveraging AI-powered development tools to streamline daily workflows, accelerate coding and debugging, creating test frameworks and improve overall code quality and testing 
 
Experience with Apache Spark/PySpark, Apache Airflow, Pandas/Numpy 
 
Experience with infrastructure test automation and CI/CD workflows 
 
Experience with data visualization 
 
Familiarity with cloud-based infrastructure such as AWS 
 
Practical experience with SQL and NoSQL databases (MySQL, Postgres, MongoDB, etc) 
 
Quality driven, detail oriented, with excellent interpersonal skills 
 
Minimum Qualifications 
 
BS degree in Computer Science, Data Science, or related 
 
Experience with Python 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $121,300 and $183,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Health Systems Data Quality Engineer

Lockheed Martin

<div>JOB ID: 722820BR
Date posted: Apr. 09, 2026
 
Description:What You Will Be Doing:
 
 
The selected candidate will be responsible for providing technical Engineering knowledge and skills supporting F-35 Data Quality and Integration Management (DQIM) - Production and Delivery Support Team. Will perform Sustainment Data Product (SDP) management, research/analysis, processing, and handling data exchanges between Program Stakeholders and Systems, Suppliers, Teammates, Propulsion System Contractors, Internal Data Authors and Operational Sites. 
 
Specific tasks include, but are not limited to: 
1. Support reviews, processing, and pursue approval for delivery of F-35 SDP to support aircraft DD250 and delivery, Non-Aircraft equipment delivery, or operational site standup and sustainment operations. 
<ul><li>Sustainment Data Build (SDB) &ndash; including As-Delivered Bill of Material (BOM)</li><li>Electronic Equipment Logbook (EEL)
</li><li>Reference and Initialization Data</li><li>Quality Assurance Records (QAR) Data</li><li>Configuration Management As-Built Data</li></ul>
- ALIS on the Factory Floor - Propulsion Data 
2. Perform data modeling/mapping/mining and Extraction, Transformation and Loading (ETL) activities 
3. Apply data quality forensics and participate in assessments of SDP and/or Supplier data submissions during Aircraft DD250 and Ferry preparation and delivery cycle 
4. Support coordination with assigned users, application teams, to understand issues and needs; prioritizing, determining solutions, and implementation of Action Requests (AR) resolution 
5. Support the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints
 
6. Participate in functional analysis, timeline analysis, structured improvement activities, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into system specifications. 
 
<ul><li>Work Schedule/Shift may change to support F-35 Production Operations.</li></ul> 
<ul><li>Must be a US Citizen. This position is located at a facility that requires special access and a Secret Security Clearance after starting.</li></ul> 
What&rsquo;s In It For You: 
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, 
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. 
Basic Qualifications: 
Basic Qualifications : 
<ul><li>Experience working to integrate and deliver data and/or provide data forensics/analysis.</li><li>Techniques in data analysis, data extraction, and/or data mining</li><li>Experience with computer systems, data management concepts, and/or database structures.</li><li>Experience with Microsoft Office applications to include Access and/or Excel</li></ul>
Desired Skills: 
Desired skills : 
Bachelor's degree in Data Science/Analytics, Engineering, Computer Science, Information Systems or related technical degree 
<ul><li>Reading, Writing, and Applying Structured Query Language (SQL) to extract, process and manipulate data
</li><li>Reading, Interpreting, and Writing eXtensible Markup Language (XML)
</li><li>Working knowledge of database management and object oriented software languages</li><li>Working experience using F-35 ALIS applications (i.e. CMMS and CRM)
</li><li>Use of TeamCenter (PDM/LDM) to review and verify Design and Logistics Data
</li><li>First-hand experience using F-35 ATLAS application to extract and verify logistics data
</li><li>Development of Aircraft/Aviation System Bills-of-Material (BOM)/Structures
</li><li>Hands-on experience with Shop Floor Manager (SFM) System
</li><li>Hands-on experience with Quality Assurance Documentation System (QADS)
</li><li>Production Planning and/or Shop Floor Operations related to data or systems integration
</li><li>Outstanding interpersonal, communication, and problem solving skills with the ability to handle multiple tasks simultaneously.</li></ul>
Security Clearance Statement:This position requires a government security clearance, you must be a US Citizen for consideration. 
Clearance Level:Secret 
Other Important Information You Should Know 
Expression of Interest:By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. 
Ability to Work Remotely:Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. 
Work Schedules:Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. 
Schedule for this Position:4x10 hour day, 3 days off per week 
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. 
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. 
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
 
 
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. 
 
If this sounds like a culture you connect with, you&rsquo;re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. 
Experience Level:Experienced Professional 
Business Unit:AERONAUTICS COMPANY 
Relocation Available:Possible 
Career Area:Systems Engineering: System of Systems Integration 
Type:Full-Time 
Shift:First</div>
 <div>At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.
Pioneering Defense Technology: From aerospace to outer space to cyber space, you can innovate mission solutions alongside the best minds in the business.
United By Culture: Excellence, integrity, and collaboration define us. We accelerate change and embrace one another&rsquo;s perspectives to win for our customers.
Real Impact, Real Growth: Grow your career and skills for life. Our wide array of opportunities and technology-driven learning programs enable your development and agility.
Your Health, Your Wealth, Your Life: Competitive pay, comprehensive benefits and flexible schedules designed so you thrive &mdash; at work and beyond.
Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities, and our planet.
Here, the possibilities are endless because we offer:
<div></div><ul><div>Flexible Schedules, dependent on role</div>
<div></div><div>Levels: Student, Entry, Mid, Senior, Management</div>
<div></div><div>Locations: Nationwide &amp; OCONUS Positions</div></ul></div>

Data Quality Engineer - Level 2

Accesstofuture

<div>Term: 6+ Months (long term potential) 
Description: 
 IDQ Engineer to assist the CIO Data Quality team: 
*Strong hands-on IDQ V10 experience * Strong admin experience optimizing IDQ environments for performance 
<ul><li>Strong experience streamlining and automating release management processes</li><li>Ability to work under pressure on high volumes is a must.</li></ul>
Location: Remote or Hybrid - 
Preferred: Hybrid- Onsite 2 days a week in the Boston MA / Holmdel NJ office 
<ul><li>If Remote, Hiring Manager is open to non-Local candidates</li></ul>
Core Requirements: - 6 - 10 year&rsquo;s experience 
MUST HAVE- 
IDQ v10 - Knowledge and experience with informatica IDQ and Data Governance concepts 
<ul><li>Experience with IDQ implementation projects (not development efforts)</li></ul>
Nice-to-Have: Experience with Data Management concepts or Chief Data Offices preferred. However, focus is on IDQ technical skills</div>

IDQ Engineer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data, Insights &amp; Artificial Intelligence (DIAI)
 
 
 
 Location:
 
 Egypt
 
 
 
 
 
 As a Data Quality Engineer, you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic&rsquo;s Data Quality Management products, with a primary focus on the Data Control Center (DCC).
 
 
 You will work closely with the Data Quality &amp; Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization.
 
 
 This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms, combined with full ownership of deliverables from design to production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable and automated data quality solutions.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES
 
 
 
 
 Data Quality Controls (DCC)
 
 
 
 &bull; Build, configure and maintain Data Quality controls in the Data Control Center (DCC).
 
 
 &bull; Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives.
 
 
 &bull; Ensure DQ controls are aligned with agreed business definitions and standards.
 
 
 
 
 
 
 Monitoring, Operations &amp; Issue Resolution
 
 
 
 &bull; Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability.
 
 
 &bull; Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders.
 
 
 &bull; Support incident resolution and contribute to continuous operational improvements.
 
 
 
 
 
 
 Continuous Improvement &amp; Enhancement
 
 
 
 &bull; Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities.
 
 
 &bull; Identify opportunities to improve automation, scalability and reusability of controls and monitoring processes.
 
 
 &bull; Identify opportunities to automate monitoring and reduce manual effort for stakeholders.
 
 
 
 
 
 
 Reporting &amp; Dashboards
 
 
 
 &bull; Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns.
 
 
 &bull; Support stakeholders with insights and reporting to track performance and drive quality improvement actions.
 
 
 
 
 
 
 Data Standards Operationalization
 
 
 
 &bull; Support data standards operationalization by ensuring alignment between published standards and DQ checks.
 
 
 &bull; Support adoption and compliance visibility by enabling reporting and transparency on standards adherence.
 
 
 
 
 
 
 Collaboration &amp; Delivery Support
 
 
 
 &bull; Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption.
 
 
 &bull; Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement.
 
 
 &bull; Run demos and workshops when needed to support rollout, stakeholder understanding and adoption.
 
 
 Testing, Release &amp; Documentation
 
 
 &bull; Support release and testing activities, including UAT support and regression testing.
 
 
 &bull; Maintain basic documentation of implemented DQ checks, logic, definitions and changes.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; 3+ years in data engineering / analytics engineering / data quality engineering
 
 
 &bull; Strong SQL and Python for scalable data validation and monitoring
 
 
 &bull; Experience working with Databricks and modern data pipelines (ADF or similar)
 
 
 &bull; Strong analytical and problem-solving mindset with attention to detail and quality.
 
 
 &bull; Ability to translate business requirements into technical implementation and measurable outcomes.
 
 
 &bull; Comfortable working across multiple stakeholders in a cross-functional environment.
 
 
 &bull; Strong communication skills and ability to explain technical topics to non-technical audiences.
 
 
 &bull; Ownership mindset: proactive, reliable and continuously improving solutions.
 
 
 
 
 
 
 REQUIRED TECHNICAL SKILLS
 
 
 
 &bull; SQL
 
 
 &bull; Python
 
 
 &bull; PySpark
 
 
 &bull; Azure Databricks
 
 
 &bull; Azure Data Factory
 
 
 &bull; Power BI
 
 
 
 
 
 
 NICE TO HAVE
 
 
 
 &bull; Power Platform (Power Automate, etc.)
 
 
 &bull; Microsoft Fabric
 
 
 &bull; Copilot Studio
 
 
 &bull; Experience working in a Data Mesh framework and/or domain data product mindset
 
 
 &bull; Good awareness of key SAP MDG, MM, S/4HANA domains
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
 
 
 
</div>

Data Engineer

TerraFirma Foundation Systems

Position Summary: Data Engineer In this role, you will own data at TerraFirma. Not a slice of it. Not the reporting piece. All of it: where it comes from, what shape it is in, where it lives, and whether it can be trusted. You are the person who makes data actionable for the business.You will work closely with our Full Stack Developer on pipeline and integration work, and directly with business stakeholders to understand what they need to make decisions. You will spend a significant portion of your time cleaning, validating, and transforming data so that when a report goes in front of a leader, the numbers are right and the story is clear. If you are the kind of person who gets bothered by a broken data feed, who cannot leave a messy schema alone, and who gets satisfaction from turning chaos into something someone can actually use: this role is for you.Key ResponsibilitiesData Quality and Integrity<ul><li>Identifying, investigating, and resolving data quality issues across all connected systems</li></ul><ul><li>Building and maintaining validation frameworks so bad data gets caught before it reaches reports</li></ul><ul><li>Establishing and documenting data standards, naming conventions, and transformation rules</li></ul><ul><li>Being the person stakeholders call when the numbers do not match</li></ul>Data Lake and Pipeline Work<ul><li>Managing data ingestion into the data lake from multiple source systems</li></ul><ul><li>Designing and maintaining transformation pipelines that produce clean, structured, report-ready data</li></ul><ul><li>Collaborating with the Full Stack Developer on integration design where pipelines connect to application logic</li></ul><ul><li>Monitoring pipeline health, catching failures early, and keeping things running</li></ul>Reporting and Analytics<ul><li>Building and maintaining Power BI reports and dashboards that get used, not shelved</li></ul><ul><li>Working directly with stakeholders to translate business questions into data models and visualizations</li></ul><ul><li>Owning the reporting layer: if a report is wrong, stale, or confusing, that is your problem to fix</li></ul><ul><li>Surfacing insights proactively, not just waiting to be asked</li></ul>Data Architecture and Documentation<ul><li>Contributing to the ongoing design of TerraFirma's data lake architecture</li></ul><ul><li>Documenting data sources, schemas, transformation logic, and lineage so the team is not dependent on tribal knowledge</li></ul><ul><li>Partnering with IT leadership on the long-term data strategy for the organization</li></ul>Experience and Education Requirements<ul><li>3+ years working in a data-focused role with real ownership of data quality and reporting</li></ul><ul><li>Demonstrated ability to take messy, inconsistent source data and produce something clean and trustworthy</li></ul><ul><li>Strong SQL: not just SELECT statements, but complex joins, window functions, and performance tuning</li></ul><ul><li>Power BI proficiency: you have built reports that people actually use to make decisions</li></ul><ul><li>Python for data work: scripting, transformation, automation</li></ul><ul><li>Clear communicator: you can explain a data discrepancy to a finance leader without making it a technical lecture</li></ul><ul><li>Microsoft Environment</li></ul>o Power BI: advanced report and dashboard development, DAX, data modeling, and row-level securityo Azure: Data Factory, Blob Storage, Synapse, or equivalent pipeline and lake toolingo Microsoft 365 and Dynamics 365 / Business Central as primary data source systemso SQL: strong query skills, stored procedures, schema design, and optimizationo Beyond Microsoft, we expect:<ul><li>ETL/ELT design: you understand the difference, know when to use each, and can build both</li></ul><ul><li>Data lake concepts: partitioning, schema-on-read vs schema-on-write, medallion architecture or equivalent</li></ul><ul><li>Git and version control: your pipelines and transformation logic live in source control, not just in a tool UI</li></ul><ul><li>Power Query / M: for lighter transformations and report-layer data shaping</li></ul><ul><li>Experience with REST APIs and JSON: you will be pulling data from systems that expose APIs, not just databases</li></ul>This job description is intended to describe the general nature and level of work performed by employees in this position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Management reserves the right to modify, add, or remove duties as necessary.CORE VALUES: AT TERRAFIRMA, OUR VALUES ARE IMPORTANT, WE DON&rsquo;T JUST TALK ABOUT THEM, WE LIVE THEM. WE ARE LOOKING FOR PEOPLE WHO SHARE OUR VALUES OF FAMILY, INTEGRITY, RESILIENCE, AND MASTERY.What We Offer:As a family-oriented company, we provide industry-leading perks and benefits, including:<ul><li>Competitive Pay</li><li>Medical, Dental, Vision Plans</li><li>Paid Holidays &amp; PTO</li><li>Short and Long-Term Disability</li><li>401(k) Retirement Plan</li><li>Life Insurance</li><li>AD&amp;D Insurance</li><li>Wellness Programs</li></ul>High school graduate or equivalent required. Applicants must be 21 years or older, as this position involves operating a company vehicle. We are a drug-free workplace. We are committed to equal employment opportunity (regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status). We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.Pay: $80,000.00 - $110,000.00 per yearExperience:<ul><li>Power BI: 3 years (Required)</li><li>Azure Data Lake: 3 years (Required)</li><li>SQL: 3 years (Required)</li></ul>Work Location: Hybrid remote in Tigard, OR 97223

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
As part of Apple&rsquo;s central data annotation engineering team, you&rsquo;ll help build the next generation of AI-powered user experiences. Our work provides high-quality datasets and expert feedback to train machine learning models and evaluate their performance across all products and verticals. The team maintains and develops a global distributed system that captures insights from human domain experts and analysts worldwide, operating at a scale that few companies can match. We leverage cutting-edge human-in-the-loop algorithms to create and curate datasets through fine-tuned multi-step annotation workflows and near real-time data quality feedback signals. You&rsquo;ll tackle complex challenges in ML data quality at unprecedented scale while collaborating closely with AIML engineering teams across the company. From Siri to the Photos app, from iPhone to Vision Pro, you&rsquo;ll help bring innovative experiences to millions of users worldwide. 
 
Description 
 
This role focuses on enhancing the annotation quality capabilities of Apple's central data annotation platform. You'll work on a cloud-based system that supports machine learning model development across all Apple products. The position combines backend engineering with research and concept development to improve how we measure, monitor, and optimize annotation and ML dataset quality at scale. You'll be responsible for building systems that ensure high-quality training data while developing innovative approaches to quality assessment and feedback mechanisms. 
 
As part of a close-knit team of half a dozen engineers focused on annotation quality initiatives and embedded in an even larger team of fellow data annotation engineers, you'll collaborate on shared challenges and contribute to collective problem-solving efforts. The team works together on overlapping projects, combining individual expertise in backend and frontend engineering, statistics, and ML to advance the state of annotation quality measurement and optimization. You'll have the opportunity to learn from peers tackling similar technical problems while contributing your own insights to push the boundaries of what's possible in large-scale data quality assessment. 
 
Your contributions will directly impact the foundation of Apple's AI and machine learning capabilities, ensuring that models across the entire product ecosystem are trained on the highest quality data possible.&quot;,&quot;responsibilities&quot;:&quot;Develop and maintain backend services for annotation quality measurement and monitoring systems 
 
Design and implement statistical measures and algorithms to assess annotation quality across diverse datasets incl. both foundational model driven and traditional approaches 
 
Create automated quality feedback mechanisms that provide real-time insights to annotation teams 
 
Research and prototype new approaches for improving annotation consistency and accuracy 
 
Optimize and design efficient data pipelines for dataset/annotation quality metrics collection 
 
Preferred Qualifications 
 
5+ years of experience in data annotation, data quality, or related ML value chain roles 
 
Experience building and scaling web-based platforms for machine learning workflows 
 
Advanced knowledge of statistical methods for data quality assessment 
 
Experience with distributed systems and microservices architecture 
 
Background in annotation workflow optimization 
 
Track record of research publications or patents in data quality or machine learning 
 
Experience working in cross-functional teams with both technical and non-technical stakeholders 
 
Minimum Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, Math, Physics or related field, or 5 years of equivalent work experience 
 
3+ years of backend engineering experience with cloud-based services 
 
Proficiency in Python and/or Golang for backend development 
 
Experience with AWS services including Lambda and RDS/Aurora 
 
Strong foundation in applied statistics and machine learning fundamentals 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Applied ML Engineer, Data Generation & Verification

Logic, Inc.

<div><div>Quality Engineering Senior Analyst | Early Career | Full time
</div><div>Job No. 14290909 | Multiple Locations</div></div>
 <div><div>Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Responsibilities:
In this role, you will be responsible for designing, developing, and executing automated test strategies across data engineering pipelines, ETL workflows, APIs, and cloud-based data platforms. You will work closely with data engineers, analysts, and business stakeholders to ensure data quality, integrity, and reliability at scale.</div></div>
 <div>Basic Qualifications:
<ul><li>
Minimum of 3 years of experience in Python language/Python libraries</li><li>
Minimum of 1 year of experience in PySpark, (pytest is huge plus)</li><li>
Minimum 3 years of experience using SQL</li></ul>

Preferred Qualifications:
<ul><li>
Minimum of 3 years of experience in Automation w.r.t data engineering or ETL</li><li>
Minimum of 2 years of experience working in Azure stack and databricks or any DS IDE s like pycharm, anaconda etc.</li><li>
Ability to define develop enhance Automation framework</li><li>
Minimum of 3 years of experience in automating API testing, worked in tools like SOAP UI, postmaster, Katalon etc. and knowing languages like JSON, XML</li><li>
Experience working on big data platforms</li><li>
Experience on CI/CD, ADF Azure Data Factory, ADO Azure DevOps, Delta Lake</li></ul> 
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 05/25/2026. 
 
Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:

Accenture Flex Jobs 
Role Location Hourly Salary Range 
California $38.56 to $48.56 
Cleveland $38.56 to $48.56 
Colorado $38.56 to $48.56 
District of Columbia $38.56 to $48.56 
Illinois $38.56 to $48.56 
Maryland $38.56 to $48.56 
Massachusetts $38.56 to $48.56 
Minnesota $38.56 to $48.56 
New York $38.56 to $48.56 
New Jersey $38.56 to $48.56 
Washington $38.56 to $48.56</div>
 <div>Arlington, VA
Albany, NY
Atlanta, GA
Austin, TX
Beaverton, OR
Bentonville, AR
Boston, MA
Carmel, IN
Charlotte, NC
Chicago, IL
Cincinnati, OH
Cleveland, OH
Columbus, OH
Culver City, CA
Denver, CO
Des Moines, IA
Detroit, MI
Hartford, CT
Houston, TX
Irving, TX
Kirkland, WA
Miami, FL
Milwaukee, WI
Minneapolis, MN
Morristown, NJ
Mountain View, CA
Nashville, TN
New York City, NY
Oklahoma City, OK
Overland Park, KS
Philadelphia, PA
Pittsburgh, PA
Raleigh, NC
Redmond, WA
Sacramento, CA
San Diego, CA
San Francisco, CA
Scottsdale, AZ
Seattle, WA
St. Louis, MO
St. Petersburg, FL
Walnut Creek, CA</div>
 <div>Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 


Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. 


Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women. 


Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 
 
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.

Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>
 <div>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.</div>

Data Tester (Python) - 6254091

Search 10000+ Data quality engineer jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 data quality engineer jobs Near Me

Health Systems Data Quality Engineer

Data Quality Engineer - Level 2

IDQ Engineer

Data Engineer

Data Engineer

AIML - Applied ML Engineer, Data Generation & Verification

Data Tester (Python) - 6254091