Lead Data Quality Engineer Jobs

New

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

New

Healthcare Data Quality Lead

Seeking a seasoned data quality lead to drive healthcare data governance and qua...

Location

United States , Philadelphia

Salary:

145000.00 - 155000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

10+ years of data quality experience in healthcare
Expertise in Collibra Data Intelligence Platform and/or Informatica DQ
Strong technofunctional and analytical skills
SQL knowledge and prior ETL experience preferred
Ability to manage stakeholders and deliver scalable solutions

Job Responsibility

Drive healthcare data governance and quality initiatives
Bridge business, engineering, and project teams to ensure accurate data quality implementation using Collibra
Review functional requirements
Design and deploy data quality rules
Eliminate redundancies
Prepare dashboards for leadership

Fulltime

Lead Data Engineer

We're looking for a Lead Data Engineer to build the data infrastructure that pow...

Location

United States

Salary:

185000.00 - 225000.00 USD / Year

Zora

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, with at least 2 years in a technical leadership role
Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design

Job Responsibility

Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes

What we offer

Remote-First Culture: Work from anywhere in the world!
Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives
Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees
Retirement Contributions: Up to 4% employer match on your 401(k) contributions
Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate
Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness
Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable)
Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery
Career Development: Access to mentorship, training, and opportunities to grow your career
Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Collibra Data Quality Lead

Client looking for someone who is having very good Technical hands-on experience...

Location

United States , Pittsburgh

Salary:

60.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

Strong understanding of Data Quality and Data Governance
Proficiency in data profiling, data cleansing, and data validation techniques
Strong Collibra development experience
Must be able to setup rules using Collibra DQ
Must be able to set up workflows in Collibra DIP
Strong experience in SQL
Strong experience with ETL processes and good knowledge on any ETL tool
Good experience with Unix Scripting
Experience working on different databases like Oracle, Vertica, Snowflake etc
Good experience leading a team

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Quality Engineer - AI and Data Platforms

This is a pioneering Quality Engineer role at the intersection of data engineeri...

Location

United Kingdom , Manchester

Salary:

44000.00 - 66000.00 GBP / Year

Matillion

Expiration Date

Until further notice

Requirements

Solid foundation in data engineering: including SQL, ETL/ELT design, and specific experience building data pipelines and managing data movement
Strong practical AI experience: you have used, experimented with, and are an advocate for an AI-first approach to quality engineering
Proficiency in coding in Java or JavaScript to navigate the codebase and implement quality frameworks
Demonstrated Autonomy, Curiosity, and Problem-solving skills, with a willingness to look at challenges in a different way and ask for assistance as needed
Experience in managing end-to-end testing of SaaS applications, including developing and maintaining efficient test automation tooling

Job Responsibility

Leveraging AI and agentic solutions, including our agentic AI product Maia, to accelerate investigation, generate test cases, and increase quality assurance across the Data Productivity Cloud
Performing root cause analysis on pipeline stability issues, particularly identifying why DPC pipelines run out of memory (OOM) within the agents
Building pipelines to automate every process, solutionizing problems to increase overall team and product productivity
Acting as a crucial bridge by collaborating extensively with various teams, raising problems, and ensuring that fixes are implemented effectively
Adopting, implementing, and championing shift-left testing practices across the team, leading an automation-first approach

What we offer

Company Equity
30 days holiday + bank holidays
5 days paid volunteering leave
Health insurance
Life Insurance
Pension
Access to mental health support

Fulltime

Lead Data Quality Engineer

European Bank for Reconstruction and Development

Location:
Bulgaria , Sofia

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 25, 2025

Expiration:
December 31, 2025

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