5 Data Pipelines jobs in the United States

Manager, Data Pipelines - Media Analytics & Engineering

10261 New York, New York NBCUniversal

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive.

This critical role is embedded in the NBCU Media Group Decision Sciences team and partners closely with a large team of strategic and data-focused media analytics professionals, advanced analytics teams, data engineering specialists, and marketing leadership. The Manager, Data Pipelines will focus on Media Data Access and Media Data Engineering, supporting all media aspects of the NBCU Media Group, including Peacock and Linear channels. The primary focus is ensuring robust and scalable data pipelines, optimizing access to media data, and surfacing insights into paid media performance via techniques such as MMM and MTA to drive growth-maximizing decisions.

Responsibilities

  • Lead the design, development, and maintenance of scalable, secure media data pipelines, ensuring seamless data access and high data quality for analytics and business decision-making.

  • Partner with engineering and analytics teams to integrate new data sources, including media platforms, conversion APIs, and third-party tools such as funnel.io, enabling comprehensive media data aggregation.

  • Develop and manage stakeholder-facing user interfaces that democratize access to media data and empower business users to derive actionable insights.

  • Drive project management for all media data engineering initiatives, ensuring on-time delivery, cross-team alignment, and effective prioritization of resources, including coordination with offshore contractors.

  • Collaborate closely with marketing analytics and decision sciences teams to support advanced media measurement strategies, including Marketing Mix Models (MMM), Multi-Touch Attribution (MTA), and experimentation frameworks.

  • Implement and monitor data governance best practices to maintain data integrity, privacy, and compliance across all media data flows.

  • Act as a key point of contact for stakeholders, translating complex technical concepts into accessible business terms and driving adoption of new data-driven capabilities.

  • Continuously evaluate, recommend, and implement new technologies and architectures that improve pipeline efficiency, scalability, and reliability.

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, or a related quantitative field.

  • Deep understanding of media data, including structure, sources, and business applications in the context of marketing, digital, and linear media platforms.

  • 4+ years of hands-on experience designing and operating data pipelines in a media or marketing analytics environment.

  • Proven experience working with cross-functional data engineering and analytics teams, both onshore and offshore.

  • Demonstrated expertise in building and managing conversion APIs and integrating with tools such as funnel.io for marketing data ingestion.

  • Strong project management skills, with a track record of delivering complex data engineering projects on time and within scope.

  • Mastery of at least one major business insight or BI tool (Looker, Tableau, PowerBI, or equivalent), including dashboard design and deployment.

  • Strong communication, presentation, and interpersonal skills, with the ability to influence cross-functional stakeholders and leadership.

  • Working knowledge of marketing analytics methodologies, including MMM, MTA, and experimentation, and experience collaborating with analytics teams on these initiatives.

  • Proficiency in SQL, as well as experience with modern data pipeline technologies (e.g., Python, Airflow, DataBricks, Snowflake, BigQuery).

  • Familiarity with data governance, data privacy, and security best practices as applied to media and marketing data ecosystems.

  • Strong sense of accountability, curiosity, and an innovative mindset, with the ability to thrive in a fast-paced, evolving environment.

  • NBCU is committed to fostering an inclusive and empowering environment where every team member is valued and given the opportunity to contribute to world-class media experiences. If you are passionate about unlocking the power of media data, optimizing data engineering practices, and leading collaborative teams, we encourage you to apply.

Additional Requirements:

Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page ( of the Careers website.

Salary range: $100,000 - $160,000 (bonus and long-term incentive eligible)

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to

View Now

Manager, Data Pipelines - Media Analytics & Engineering

10176 New York, New York NBC Universal

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our theme parks and consumer experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, MSNBC, CNBC, NBC Sports, Telemundo, NBC Local Stations, Bravo, USA Network, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through Universal Filmed Entertainment Group and Universal Studio Group, and have world-renowned theme parks and attractions through Universal Destinations & Experiences. NBCUniversal is a subsidiary of Comcast Corporation.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Comcast NBCUniversal has announced its intent to create a new publicly traded company ('SpinCo') comprised of most of NBCUniversal's cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025.
The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive.
This critical role is embedded in the NBCU Media Group Decision Sciences team and partners closely with a large team of strategic and data-focused media analytics professionals, advanced analytics teams, data engineering specialists, and marketing leadership. The Manager, Data Pipelines will focus on Media Data Access and Media Data Engineering, supporting all media aspects of the NBCU Media Group, including Peacock and Linear channels. The primary focus is ensuring robust and scalable data pipelines, optimizing access to media data, and surfacing insights into paid media performance via techniques such as MMM and MTA to drive growth-maximizing decisions.
Responsibilities
+ Lead the design, development, and maintenance of scalable, secure media data pipelines, ensuring seamless data access and high data quality for analytics and business decision-making.
+ Partner with engineering and analytics teams to integrate new data sources, including media platforms, conversion APIs, and third-party tools such as funnel.io, enabling comprehensive media data aggregation.
+ Develop and manage stakeholder-facing user interfaces that democratize access to media data and empower business users to derive actionable insights.
+ Drive project management for all media data engineering initiatives, ensuring on-time delivery, cross-team alignment, and effective prioritization of resources, including coordination with offshore contractors.
+ Collaborate closely with marketing analytics and decision sciences teams to support advanced media measurement strategies, including Marketing Mix Models (MMM), Multi-Touch Attribution (MTA), and experimentation frameworks.
+ Implement and monitor data governance best practices to maintain data integrity, privacy, and compliance across all media data flows.
+ Act as a key point of contact for stakeholders, translating complex technical concepts into accessible business terms and driving adoption of new data-driven capabilities.
+ Continuously evaluate, recommend, and implement new technologies and architectures that improve pipeline efficiency, scalability, and reliability.
+ Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Statistics, Mathematics, or a related quantitative field.
+ Deep understanding of media data, including structure, sources, and business applications in the context of marketing, digital, and linear media platforms.
+ 4+ years of hands-on experience designing and operating data pipelines in a media or marketing analytics environment.
+ Proven experience working with cross-functional data engineering and analytics teams, both onshore and offshore.
+ Demonstrated expertise in building and managing conversion APIs and integrating with tools such as funnel.io for marketing data ingestion.
+ Strong project management skills, with a track record of delivering complex data engineering projects on time and within scope.
+ Mastery of at least one major business insight or BI tool (Looker, Tableau, PowerBI, or equivalent), including dashboard design and deployment.
+ Strong communication, presentation, and interpersonal skills, with the ability to influence cross-functional stakeholders and leadership.
+ Working knowledge of marketing analytics methodologies, including MMM, MTA, and experimentation, and experience collaborating with analytics teams on these initiatives.
+ Proficiency in SQL, as well as experience with modern data pipeline technologies (e.g., Python, Airflow, DataBricks, Snowflake, BigQuery).
+ Familiarity with data governance, data privacy, and security best practices as applied to media and marketing data ecosystems.
+ Strong sense of accountability, curiosity, and an innovative mindset, with the ability to thrive in a fast-paced, evolving environment.
+ NBCU is committed to fostering an inclusive and empowering environment where every team member is valued and given the opportunity to contribute to world-class media experiences. If you are passionate about unlocking the power of media data, optimizing data engineering practices, and leading collaborative teams, we encourage you to apply.
Additional Requirements:
Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page ( of the Careers website.
Salary range: $100,000 - $160,000 (bonus and long-term incentive eligible)
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to
View Now

Senior Software Engineer - AI Data Pipelines & Big Data Systems

48113 Ann Arbor, Michigan KLA

Posted 9 days ago

Job Viewed

Tap Again To Close

Job Description

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

Are you ready to build, lead, and innovate at the forefront of AI? We're looking for a Senior Software Engineer with expertise in data science, AI training data pipelines, and big data to design, scale, and optimize high-impact enterprise systems! If you're a hands-on technologist who thrives in high-performance environments and is ready to inspire change, mentor others, and shape the future-this is your moment. Poised to grow into a technical leadership or engineering management role, you'll have the opportunity to lead impactful initiatives. Make your move now!

  • Collaborate with brilliant minds across data science, ML engineering, and product strategy
  • Build scalable systems that power real-time insights and intelligent automation
  • Be part of a team that values creativity, ownership, and continuous growth
Job Duties, but not limited to:
  • Designing and implementing AI training data pipelines to support scalable machine learning workflows
  • Building and optimizing real-time big data systems for ingestion, processing, visualization, and analytics
  • Developing high-performance in-memory data processing solutions using modern frameworks
  • Architecting and delivering microservices-based platforms across Linux and Windows environments
  • Leading design reviews, mentoring engineers, and crafting technical strategy
  • Ensuring code quality, performance, and maintainability through standard processes
Qualifications, but not limited to:
  • Advanced degree in Computer Science, Engineering, or a related field
  • 8+ years of demonstrated ability in software engineering with a focus on data-intensive systems.
  • Experience with enterprise application development
  • Strong programming skills in C++ and C#
  • Deep expertise in data processing, streaming architectures, and AI/ML workflows
  • Experience with big data systems; CUDA, Apache Arrow. gRPC or similar in-memory columnar data formats
  • Proficiency in both Linux and Windows development environments
  • Familiarity with microservices architecture and containerization tools like Docker and Kubernetes


Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

Base Pay Range: $123,000.00 - $209,100.00 Annually

Primary Location: USA-MI-Ann Arbor-KLA

KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at or at to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
View Now

Senior Software Engineer - Java, Microservices & Data Pipelines-Hybrid

94087 Sunnyvale, California eTeam

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

Job Details:

Detailed Job Description:
5 or more years of development experience. Good hands-on experience working with Java, Spring Boot and microservices. Experience in developing robust data pipelines for both realtime and batch processing. Should have experience working with Kafka and Kinesis. Experience working with AWS Glue, OpenSearch, Databricks, EMR. Experience in front end development using JavaScript, HTML, CSS. Good to have experience in Pyspark. Utilize containerization tools e.g., Docker to package and deploy application

Minimum years of experience*:
> 10 years

View Now

Data Engineer - AI/ML Pipelines

33583 Seffner, Florida Rooms To Go Corporate

Posted 15 days ago

Job Viewed

Tap Again To Close

Job Description

The Data Engineer - AI/ML Pipelines is a pivotal role responsible for architecting, developing, and maintaining scalable data pipelines that support advanced analytics, machine learning, and real-time operational intelligence across enterprise systems. A key requirement for this role is hands-on experience working with Warehouse Management Systems (WMS), including the ability to ingest, normalize, and interpret data from WMS platforms to support business-critical operations.

You'll collaborate closely with software engineers, data scientists, and cross-functional teams to drive initiatives in data transformation, governance, and automation. The role offers exposure to cutting-edge cloud-based technologies, direct mentorship, and well-defined pathways for advancement-including growth into senior or lead data engineering roles, specialization in machine learning engineering, or transition into software engineering roles.

Responsibilities:

  • Develop and maintain scalable data pipelines for structured/unstructured WMS, ERP, and operational data.
  • Clean, transform, and enrich data for dashboards, analytics, and ML use cases.
  • Collaborate with cross-functional teams to translate warehouse operations needs into scalable data solutions.
  • Ensure data quality through validation, anomaly detection, and lineage tracking.
  • Automate workflows using tools like Azure Data Factory and develop monitoring/alerting systems.
  • Support real-time and predictive analytics initiatives with properly prepared data pipelines.
  • Document pipeline logic and mentor junior team members.
  • Lead strategic data initiatives and evaluate new technologies to enhance data capabilities.
  • Troubleshoot and resolve production issues, ensuring minimal disruption to warehouse operations.
Qualifications:
  • 5+ years in data engineering, preferably with WMS or logistics systems.
  • Proficiency in Python, SQL, and modern data engineering practices.
  • Experience with Databricks, cloud-based architectures, and supporting AI/ML workflows.
  • Strong understanding of WMS data structures and integration patterns.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (preferred).
  • Certifications in AI/ML or cloud technologies are a plus.
Founded in 1991, Rooms To Go is one of the largest and fastest growing furniture retailers in the US with over 250 stores in ten southern states, eight distribution centers and an e-commerce business. Rooms To Go offers a collaborative work environment within a supportive culture.

Rooms To Go Benefits:
  • Medical, dental, and vision insurance
  • 401(k) with company match
  • Associate discounts including furniture
  • Company paid life and disability insurance
  • Paid time off
  • Employee Assistance Program
  • Wellness Programs
  • And more!

Rooms To Go is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws

Applicants must be authorized to work in the U.S.
View Now
Be The First To Know

About the latest Data pipelines Jobs in United States !

 

Nearby Locations

Other Jobs Near Me

Industry

  1. request_quote Accounting
  2. work Administrative
  3. eco Agriculture Forestry
  4. smart_toy AI & Emerging Technologies
  5. school Apprenticeships & Trainee
  6. apartment Architecture
  7. palette Arts & Entertainment
  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
View All Data Pipelines Jobs