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analyst, data integrity

analyst, data science

data qa engineer

Dario

<div>
 
 At Dario, Every Day is a New Opportunity to Make a Difference.
 
 
 
 We are on a mission to make better health easy. Every day our employees contribute to this mission and help hundreds of thousands of people around the globe improve their health. How cool is that? We are looking for passionate, smart, and collaborative people who have a desire to do something meaningful and impactful in their career.
 
 
 
 The primary responsibilities of this job include:
 
 
 
 <ul>
 <li>
 Design and execute comprehensive test plans to validate data pipelines, transformations, and business logic across onshore and offshore environments.
 </li>
 <li>
 Support R&amp;D teams by investigating and triaging incoming tickets that require deep-diving into sensitive PHI/PII data, ensuring findings are handled with the highest standards of compliance and confidentiality.
 </li>
 <li>
 Collaborate closely with R&amp;D and Engineering teams to reproduce issues, trace root causes through data, and accelerate resolution cycles.
 </li>
 <li>
 Perform data validation and reconciliation across multiple systems, ensuring accuracy, consistency, and regulatory alignment.
 </li>
 <li>
 Execute automated test scripts for web, mobile, API, and data quality testing.
 </li>
 <li>
 Collaborate with Analytics and Development teams to identify test cases, define test strategies, and ensure accuracy of data used for reporting and KPIs.
 </li>
 <li>
 Identify, document, and track defects, following through to resolution with both Data and R&amp;D stakeholders.
 </li>
 <li>
 Maintain comprehensive test documentation including STP, STD, and STR for data validation and automation processes.
 </li>
 <li>
 Monitor scheduled jobs and alerting systems for pipeline failures.
 </li>
 <li>
 Leverage AI/ML-based testing techniques, including prompt validation, model behavior testing, and intelligent defect detection, to accelerate quality at scale.
 
 
 </li>
 </ul>
 
 Business Logic &amp; Dashboard Validation
 
 
 
 <ul>
 <li>
 Validate KPIs, metrics, and business rules implemented in dashboards and similar BI tools.
 </li>
 <li>
 Ensure alignment between data definitions, business expectations, and actual system outputs.
 </li>
 <li>
 Translate complex technical data issues into clear, business-friendly language for Client Success and Product teams.
 </li>
 <li>
 Partner with Data Engineering and Analytics teams to ensure data used for reporting is accurate and fit for purpose.
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Serve as the QA bridge between globally distributed engineering teams &mdash; facilitating communication, test coordination, and knowledge transfer across time zones.
 </li>
 <li>
 Actively support developers with debugging, log analysis, and root cause identification during data incidents.
 </li>
 <li>
 Work closely with the Client Success team to translate technical findings into business impact &mdash; and business requirements into testable acceptance criteria.
 
 
 </li>
 </ul>
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Engineering, or a related field.
 </li>
 <li>
 6+ years of experience in QA, test automation, or data quality roles.
 </li>
 <li>
 Strong proficiency in programming and query languages.
 </li>
 <li>
 Proven experience testing ETL/ELT processes and data warehouse platforms.
 </li>
 <li>
 Familiarity with data pipeline tools and orchestration systems.
 </li>
 <li>
 Experience handling or working around PHI/PII data with a strong understanding of compliance requirements(HIPAA or similar).
 </li>
 <li>
 Strong understanding of QA methodologies (STP/STD/STR).
 </li>
 <li>
 Hands-on experience with AI/ML-based test automation tools and frameworks, including validation of LLM-driven applications.
 </li>
 <li>
 Strong expertise in AI-assisted test case generation, self-healing locators, and intelligent defect detection.
 </li>
 <li>
 Experience with version control systems and CI/CD processes.
 </li>
 <li>
 Business-minded with the ability to understand and validate KPIs and reporting logic.
 </li>
 <li>
 Excellent communication, collaboration, and problem-solving skills.
 </li>
 <li>
 Ability to work independently, proactively, and across cross-functional teams including R&amp;D and Data.
 
 
 </li>
 </ul>
 ***DarioHealth promotes diversity of thought, culture and background, which connects the entire Dario team. We believe that every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and deliver solutions. We are passionate about building and sustaining an inclusive and equitable working and learning environments for all people, and do not discriminate against any employee or job candidate. ***
</div>

Data QA Engineer

Partner Engineering and Science, Inc

<div><div>ABOUT US

At PARTNER, success starts with the right mindset: connection, compassion, and curiosity. Whether consulting with clients or collaborating with colleagues, these principles guide how we work. We deliver engineering, environmental, and energy consulting, plus design services across the Americas, Europe, and beyond. As a leader in Commercial Real Estate (CRE), we&rsquo;re 1,400+ professionals strong in 40+ offices. Our mission is simple: create the best home for talented professionals. If you value delivering exceptional experiences through problem-solving, coordination, and a mindset of care for clients and colleagues, you&rsquo;ll feel right at home. That approach has earned us recognition on ENR&rsquo;s Top 500 Design Firms, Inc. 5000&rsquo;s Fastest-Growing Companies, and Zweig&rsquo;s Best Firms to Work For. Here, your ideas matter, your impact is real, and your work helps shape the future. Check out this role and join our team of talented professionals.

Learn more about Partner at www.partneresi.com.
</div>
<div>SUMMARY

Partner Engineering and Science, Inc. is seeking a detail-oriented and pragmatic QA Engineer to join our Products Team. This role is responsible for helping ensure the quality, reliability, and usability of our web applications through a thoughtful mix of manual testing, regression coverage, bug investigation, and test automation.

 The ideal candidate has experience testing both front-end and back-end web applications, validating data across systems, and using SQL to query and verify application data. You should be comfortable testing APIs, investigating production issues, and partnering closely with engineering, product, and design teams to identify risks and focus testing effort where it matters most. We value candidates who communicate clearly, move with urgency when needed, and use good judgment to balance speed, coverage, and business impact. Experience using AI tools to improve QA workflows, test design, investigation, or productivity is a plus.

Responsibilities and Duties
<ul>
<li>Web Application Testing: Test front-end and back-end web application functionality across new features, enhancements, and bug fixes.</li>
<li>Regression Testing: Execute and maintain regression test coverage to support reliable releases and reduce the risk of defects reaching production.</li>
<li>API Testing: Validate APIs for correctness, reliability, and data integrity using manual and/or automated testing approaches.</li>
<li>Data Validation: Verify application data across interfaces, services, and databases to ensure accuracy and consistency.</li>
<li>SQL Querying: Write and use SQL queries to inspect, validate, and troubleshoot application data in support of testing and investigation.</li>
<li>Bug Investigation and Triage: Investigate defects identified in testing and production, help reproduce issues, document findings clearly, and support triage with engineering teams.</li>
<li>Risk-Based Testing: Apply sound judgment to determine the appropriate level of testing based on the risk, complexity, and potential business or user impact of a change.</li>
<li>Test Automation: Contribute to the creation and maintenance of automated tests using Selenium or similar tools where automation adds value.</li>
<li>Cross-Functional Collaboration: Work closely with software engineers, product managers, designers, and other stakeholders to clarify requirements, identify edge cases, and improve product quality.</li>
<li>Process Improvement: Help improve QA processes, test strategies, and release confidence through better documentation, tooling, and communication.</li>
<li>AI-Assisted QA: Use AI tools where helpful to improve test case creation, exploratory testing, defect analysis, automation, or general productivity.</li>
</ul>
Required Qualifications
<ul>
<li>Experience: 3+ years of quality assurance or software testing experience, preferably in web application environments.</li>
<li>Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.</li>
</ul><ul><li>Technical Skills:</li>
<li>Experience testing both front-end and back-end web applications.</li>
<li>Experience with API testing.</li>
<li>Experience with data validation and verifying data across systems.</li>
<li>Familiarity with writing and using SQL queries to validate and troubleshoot application data.</li>
<li>Experience performing regression testing.</li>
<li>Experience with test automation tools such as Selenium or comparable frameworks.</li>
<li>Experience investigating defects and helping triage production issues.</li>
<li>Ability to evaluate testing depth and prioritize effort based on risk and impact.</li></ul> 


Preferred Qualifications
<ul>
<li>Experience testing modern web applications in Agile development environments.</li>
<li>Experience with performance, load, or scalability testing for web applications.</li>
<li>Familiarity with browser developer tools, test management platforms, and bug tracking systems.</li>
<li>Exposure to CI/CD workflows and how testing fits into automated delivery pipelines.</li>
<li>Experience collaborating closely with software engineers on root cause analysis and defect prevention.</li>
<li>Experience using AI tools to accelerate or improve QA workflows, documentation, test generation, or issue investigation.</li></ul> 


Skills
<ul>
<li>Strong written and verbal communication skills.</li>
<li>Good judgment and a practical, strategic approach to testing.</li>
<li>Ability to move quickly and stay organized in time-sensitive situations.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Collaborative mindset and the ability to work effectively across technical and non-technical teams.</li>
<li>A commitment to quality, continuous improvement, and learning.</li>
</ul>
<div>Compensation:
 Salary range: $100,000 $120,000. This is what we reasonably expect to pay for the role

The pay scale for this role considers a wide range of factors when making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs. Please note, the disclosed pay scale estimate has not been adjusted for the applicable geographic location where the position may be filled.

You may also be eligible to participate in a discretionary incentive bonus program which is dependent on various factors, including, but not limited to individual and organizational performance. 


Benefits:
Competitive benefits package including health insurance, dental insurance, vision insurance, vacation and sick time, and a 401(k) plan with a company match.

Equal Employment Opportunity

It is Partner Engineering and Science, Inc&rsquo;s (The Company) policy is to provide equal employment opportunity for all applicants and employees. The company maintains a work environment that is free of harassment, discrimination, or retaliation based on an individual&rsquo;s race (including, but not limited to, hair texture and protective hairstyles such as braids, locks, and twists), color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender (including gender identity and gender expression), age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), reproductive health decision making, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws. 


We will consider qualified applicants who have criminal histories in a manner consistent with the law.

California Consumer Privacy Act

We collect personal information from you in connection with your application for employment with Partner Engineering and Science, Inc. For details on what personal information we collect and the purposes for which we collect it, please visit:

https://www.partneresi.com/careers/california-consumer-privacy-act/</div></div></div>

QA Engineer

SOCOTEC

<div>
 
 Description Du Poste
 
 
 Company Description
 
 
 
 SOCOTEC is a leading, diverse consultancy and service provider with a global footprint, 40 locations across the US, and a staff of 1,700 professionals. We provide expert engineering, inspection, and consulting services to help our clients improve safety, efficiency, and compliance across multiple industries. SOCOTEC&rsquo;s reputation for excellence continues to drive its growth and recognition as a best-in-class service provider.
 
 
 We offer a competitive salary and benefits package, mentorship and training opportunities, and regular team-building activities. SOCOTEC is proud to be officially certified as a Great Place to Work&reg; by the global authority on workplace culture.
 
 
 
 Job Description
 
 
 
 SOCOTEC is seeking a mid-career professional to lead our US Nuclear Services Group, consisting of approximately 10 engineers, material scientists, and Quality Assurance personnel. This individual will be client-facing, client-focused, and experienced in business development and growth initiatives. The successful candidate will play a key role in expanding our footprint in the nuclear industry and building upon our long-standing service history.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead and manage the US Nuclear Services Group, providing technical guidance, mentorship, and performance oversight for engineers, material scientists, and QA staff.
 </li>
 <li>
 Serve as the primary client interface, ensuring exceptional service delivery and maintaining strong client relationships.
 </li>
 <li>
 Drive business development and growth within the nuclear sector, identifying opportunities and expanding SOCOTEC&rsquo;s market presence.
 </li>
 <li>
 Support clients with design and plant operability challenges, including failure and root cause assessments.
 </li>
 <li>
 Oversee project execution, ensuring compliance with regulatory standards, technical specifications, and quality expectations.
 </li>
 <li>
 Collaborate with internal and external stakeholders to promote continuous improvement and knowledge sharing across the organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Licensed Professional Engineer (PE) in civil, structural, mechanical, nuclear, or electrical engineering.
 </li>
 <li>
 Proven experience in client-facing roles within the nuclear industry.
 </li>
 <li>
 Demonstrated track record of business development and organizational growth.
 </li>
 <li>
 Strong technical knowledge in solving client design and plant operability issues.
 </li>
 <li>
 Experience in failure analysis, root cause assessment, or similar investigative work.
 </li>
 <li>
 Excellent leadership, communication, and interpersonal skills.
 </li>
 <li>
 Ability to work collaboratively in a diverse, multidisciplinary team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience managing a small team of engineers, scientists, and QA personnel.
 </li>
 <li>
 Familiarity with regulatory compliance and safety standards in the nuclear industry.
 </li>
 <li>
 Strong problem-solving skills with a proactive, solution-oriented mindset.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 For more information, please visit www.socotec.us
 
 
 Position: Full time
 
 
 Salary: $175k-$200k
 
 
 SOCOTEC is an Equal Opportunity Employer. Your information will be kept confidential according to EEO guidelines. SOCOTEC is an Equal Opportunity Employer.
 
 
 Final compensation is based on experience, technical depth, and scope of ownership).
 
 
 SOCOTEC is an Equal Opportunity Employer.
</div>

Principal, Nuclear Engineering

Integral Ad Science

<div>Job Description:
As a Staff Software Engineer, you will make a solid contribution in software design, development, writing test cases, QA, documentation, fixing software defects. You will be working with cutting edge cloud technologies, building robust, scalable, high performance software solutions which help our customers to launch campaigns, activate tags, ads verification and optimizations.
The ideal candidate will have strong expertise in Java, Spring Boot, JPA, relational database, big data warehouse, AWS services, enjoys working in a collaborative and agile environment, and brings innovative solutions to complex problems with a desire to improve the status quo.
What you&rsquo;ll do:<ul><li>
Design, build and integrate Java micro services which talks to React front end and MySQL database.</li><li>
Hands-on development, code reviews, testing, deployment, and documentation.</li><li>
Fix software bugs and respond to incident escalated to our team.</li><li>
Collaborate with other engineers in the team to deliver product features on time, elevate the team's coding standard, and promote best practices through thorough code and design reviews and improved processes.</li><li>
Partner with the Product team and other stakeholders across the company to understand product requirements, gather business and technical requirements from broadcaster clients, and research and develop solutions, including API development.</li><li>
Automate cloud infrastructure, services, and observability.</li><li>
Develop CI/CD pipelines and testing automation</li></ul>
You should apply if you have most of this experience:<ul><li>
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related STEM field.</li><li>
12+ years of experience in backend development.</li><li>
Proficiency in Java, Spring, Spring Boot and JPA.</li><li>
2+ years of experience working with big-data stack, including Spark and Kafka</li><li>
Extensive experience with relational DB, e.g., MySQL or PostgreSQL.</li><li>
Advanced understanding of SQL, data model design, dimensional modeling, database performance troubleshooting and improvement.</li><li>
Have a sense of security, both authentication and authorization when designing and building API</li><li>
Good understanding of RESTful API and gRPC design and implementation.</li><li>
Familiarity with cloud platforms (AWS).</li><li>
Experienced in building and deploying scalable backend systems on AWS; using services like EC2, RDS, S3, SQS, and EKS.</li><li>
Familiar with monitoring and log analysis using Grafana for observability and performance tuning.</li><li>
Good knowledge of git, Jenkins and CI/CD</li><li>
Excellent problem-solving skills and attention to detail.</li><li>
Strong verbal and written communication skills and the ability to work effectively</li><li>
in a team environment.</li></ul>
IAS Pay Transparency:
The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate&rsquo;s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.
Primary Location:
US - New York, NY
Primary Location Base Pay Range:
$126,000.00 - $216,000.00 Annual
Additional Locations:
US - Chicago, IL
Additional Locations Pay Range:
119,000.00 - 204,000.00 USD Annual
About Integral Ad Science:
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry&rsquo;s most actionable data to drive superior results for the world&rsquo;s largest advertisers, publishers, and media platforms. IAS&rsquo;s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
California Applicant Pre-Collection Notice:
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.</div>

Staff Software Engineer- Backend Java- Big Data

Seated

<div>This role is on-site, 5 days a week, working from our Flatiron office in NYC.
About Seated
Seated is the first dynamic pricing platform for restaurants. We help fill their empty seats while providing consumers incredible rewards to top brands and unique experiences. We are quickly expanding our offerings to cities across the country and are looking for talented and ambitious people to embark on the journey with us!
Role Overview 
We're fast-paced, innovative, and metric-driven, with a team passionate about delighting our customers. We're looking for a mid-level Software Development Engineer with a strong foundation in backend systems and distributed architectures. You'll help build and scale the systems that power Seated's growing platform.
You'll translate business needs into live features and partner directly with business owners who recognize the value of technology. You'll have a strong voice in product design and ownership across coding, QA, and production support.
Responsibilities<ul><li>
Design, build, and maintain scalable backend systems that power our core platform services</li><li>
Partner with business stakeholders to translate requirements into well‑implemented, deterministic workflows and services</li><li>
Build reliable, fault‑tolerant distributed systems with strong coding, testing, observability, performance, and reliability practices
</li><li>Contribute to technical design for high‑performance, service‑oriented architectures</li><li>
Scale backend services and microservices for high throughput and low latencey</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s in Computer Science or Engineering; 3+ years of experience shipping production payment/fintech systems</li><li>
Strong understanding of backend architecture and distributed systems design</li><li>
Ability to quickly learn new payment technologies and apply them to real‑world solutions and product design</li><li>
Proficiency in Java and the Spring Boot framework; or equivalent expertise in a similar object‑oriented language.</li><li>
Experience building high‑availability systems, including low‑latency APIs and distributed RESTful/gRPC services; practiced in backward compatibility, deterministic behavior, and idempotency</li></ul>
Preferred Experience<ul><li>
Solid knowledge of distributed databases and scalable, fault‑tolerant caching</li><li>
Experience with AI agents and prompt engineering; able to build web features using agentic workflows and modern frontend frameworks</li><li>
Cloud experience (AWS or GCP), containerization (Docker); familiarity with AWS services such as ECS, RDS, and Kinesis, plus observability tools like Datadog</li><li>
Preferred: Experience with workflow orchestration engines (Temporal, Cadence, or AWS Step Functions)</li></ul> 

Benefits 
<ul><li>
$160K - $180K + stock options</li><li>
401k with company match</li><li>
Medical, dental, and vision coverage</li><li>
FSA, dependent care, and commuter benefits</li><li>
Paid parental leave and unlimited PTO</li><li>
TeleDoc, One Medical, Talkspace, and WellHub access</li><li>
Citi Bike membership</li><li>
$100 monthly Seated dining credit</li></ul></div>

Software Development Engineer II

RSC Solutions

<div>
 
 
 
 TITLE: Senior Data Platform Engineer w/DBT &amp; Airflow
 
 
 
 LOCATION: New York City (midtown)
 
 HYBRID ONSITE 4 DAYS IN THE OFFICE
 
 NO C2C 3RD PARTY VENDORS!!
 
 NO RELOCATION!!
 
 
 
 
 JOB DESCRIPTION:
 
 EXPERIENCED DATA ENGINEER MUST HAVE HANDS ON EXPERIENCE WITH DEPLOYMENTS, DBT, AIRFLOW, PYTHON AND AWS.
 
 
 
 The Data Platform Engineer will be responsible for the design, build, and maintenance of Company's data platforms used for both analytics and for the integration of business and customer-facing applications. This role plays a critical part in advancing cloud-native data architecture and enabling reliable, scalable analytics and production data use cases. The Data Platform Engineer will design, build, and operate core components of the enterprise data platform, including robust data pipelines, scalable cloud infrastructure, and optimized data models that power business intelligence and operational systems across the organization. This position requires strong hands-on engineering expertise along with the ability to contribute to platform-level architecture, ensuring the data ecosystem is performant, secure, and positioned to scale with evolving business needs.
 
 
 
 
 Specific Functions/Activities&nbsp;
 
 
 SUMMARY:
 
 <ul>
 <li>
 Design, build, and maintain scalable, reliable AWS-based data architecture
 </li>
 <li>
 
 Develop and optimize production-grade Python data pipelines
 
 </li>
 <li>
 
 Own end-to-end ELT workflows using DBT and Apache Airflow
 
 </li>
 <li>
 Design, implement, and optimize data models to support analytics and operational reporting
 </li>
 <li>
 Improve platform reliability, observability, and performance across the data stack
 </li>
 <li>
 Contribute to architectural decisions for scalability, security, and cost optimization
 </li>
 <li>
 Partner with DevOps to implement CI/CD, infrastructure-as-code, and automated deployments
 </li>
 <li>
 Evaluate and recommend new technologies to evolve MSG's data platform
 </li>
 </ul>
 
 REQUIRED EXPERIENCE:
 
 <ul>
 <li>
 
 4-7 years experience building and maintaining production data pipelines
 
 </li>
 <li>
 
 4 years Python development experience (production-grade code)
 
 </li>
 <li>
 
 2 years experience with DBT
 
 </li>
 <li>
 
 2 years experience with Apache Airflow (or equivalent orchestration tools)
 
 </li>
 <li>
 Strong SQL and data modeling expertise (dimensional normalized modeling)
 </li>
 <li>
 Hands-on experience with AWS data services (S3, Redshift, Glue, Athena, DynamoDB)
 </li>
 <li>
 Experience designing scalable data architectures in cloud environments
 </li>
 <li>
 Experience troubleshooting and supporting production systems
 </li>
 <li>
 Strong communication skills and ability to work directly with business stakeholders
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field
 </li>
 </ul>
 
 Preferred
 
 <ul>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 </li>
 <li>
 CI/CD and DevOps practices
 
 </li>
 </ul>
</div>

Senior Data Engineer with DBT and Airflow-Onsite NYC

<div>
 
 
 Role: Senior Data Analytics Engineer with AI Initiatives (Must)
 
 
 
 
 Location: New York/ Remote
 
 
 
 
 Experience: 5 - 10 years
 
 
 
 
 Duration: Full time
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We are looking for a Lead Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI initiatives. In this role, you will work closely with data architects, analysts, and business stakeholders to develop reliable data solutions and ensure high-quality data is available across the organization.
 
 
 This is a
 
 hands-on engineering role
 
 focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable
 
 data pipelines and ETL/ELT workflows
 
 to ingest and transform data from multiple sources
 </li>
 <li>
 Develop and optimize
 
 batch and near real-time data processing pipelines
 
 for analytics and reporting
 </li>
 <li>
 Build and maintain
 
 data warehouse and data lake structures
 
 to support business intelligence and analytics use cases
 </li>
 <li>
 Implement and maintain
 
 data models
 
 that support efficient querying and reporting
 </li>
 <li>
 Improve performance and scalability of data systems through
 
 query optimization, indexing, and partitioning strategies
 
 </li>
 <li>
 Implement
 
 data quality checks, monitoring, and logging
 
 to ensure reliability of data pipelines
 </li>
 <li>
 Exposure to
 
 AI initiatives
 
 and experience
 
 building data pipelines
 
 supporting
 
 AI workflows
 
 </li>
 <li>
 Work with data architects and engineering teams to implement
 
 scalable data platform designs
 
 </li>
 <li>
 Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
 </li>
 <li>
 Maintain documentation for data pipelines, data models, and data workflows
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 5 - 10 years of experience
 
 in Data Engineering and GenAI and Data Scientist and AI Engineer
 </li>
 <li>
 Strong experience with
 
 SQL and Python
 
 for data processing and transformation
 </li>
 <li>
 Experience building and maintaining
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Solid understanding of
 
 data warehousing concepts and dimensional data modeling
 
 </li>
 <li>
 Experience working with
 
 cloud data platforms or modern data infrastructure
 
 </li>
 <li>
 Familiarity with
 
 workflow orchestration tools
 
 such as
 
 Airflow
 
 or similar
 </li>
 <li>
 Understanding of
 
 API-based data ingestion and data integration patterns
 
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 
 Bachelor's or master's degree in computer science
 
 , Engineering, Information Systems, or a related field
 
 , or equivalent practical experience.
 
</div>

AI Data Engineer

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