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Tds Engineer Jobs (NOW HIRING)

Overview At TDS Telecom, connecting people is at the heart of everything we do. We are forward ... The Lead Software Engineer on the IT Web & Mobile Application Development team plays a critical ...

Lead Software Engineer

$81K - $131K/yr

Overview At TDS Telecom, connecting people is at the heart of everything we do. We are forward ... The Lead Software Engineer on the IT Web & Mobile Application Development team plays a critical ...

... engineering contractors for both TDS CLEC/ILEC operations to ensure that the needs of the company are being met. The Manager-OOT Route Acquisition regularly has direct communication and/or ...

Senior Controls Engineer

Waverly, IA ยท On-site

$89K - $118K/yr

About TDS Automation, Inc. TDS Automation, Inc., is a leading provider of global engineering and manufacturing solutions for Customers focusing on custom automation, forming and material handling.

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Tds Engineer information

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$59K

$137.3K

$196.5K

How much do tds engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for tds engineer in the United States is $137,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $196,000.00 per year, depending on experience, location, and employer.

What is a TDS engineer?

A TDS Engineer, or Test Development Services Engineer, is a professional responsible for designing, developing, and maintaining automated test systems and processes for electronic products and components. They collaborate with design and manufacturing teams to ensure product quality and reliability by creating effective testing strategies and tools. TDS Engineers typically have expertise in electronics, programming, and troubleshooting, and play a key role in improving production efficiency and reducing defects.

What are the key skills and qualifications needed to thrive as a TDS engineer?

To thrive as a TDS (Technical Data Services) Engineer, you need a solid background in computer science or engineering, with expertise in data management, analysis, and database technologies. Familiarity with SQL, data warehousing tools, ETL processes, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Engineer Associate are often required. Strong problem-solving, attention to detail, and effective communication skills help in translating data requirements and collaborating across teams. These competencies are essential to ensure reliable data solutions, support business intelligence, and maintain high standards of data integrity within an organization.

What are some common challenges TDS engineers face when integrating new technologies into existing systems?

TDS Engineers often encounter challenges such as ensuring compatibility between legacy systems and new technologies, maintaining data integrity during migrations, and minimizing downtime for critical business operations. Effective communication with cross-functional teams is essential to anticipate potential integration issues and develop solutions proactively. Staying updated on industry standards and best practices helps TDS Engineers navigate these challenges and deliver seamless technology upgrades.

What is the difference between Tds Engineer vs Civil Engineer?

AspectTds EngineerCivil Engineer
Required CredentialsDiploma or degree in civil engineering, certifications in TDS systemsBachelor's degree in civil engineering, professional licensure
Work EnvironmentConstruction sites, water treatment plants, infrastructure projectsConstruction sites, urban planning, infrastructure development
Employer & Industry UsageWater treatment companies, construction firms, government agenciesConstruction companies, consulting firms, government departments

While both Tds Engineers and Civil Engineers work in construction and infrastructure sectors, Tds Engineers specialize in water treatment systems and related technical aspects, whereas Civil Engineers focus on designing and constructing buildings, roads, and bridges. The roles often overlap in construction projects, but their core expertise and certifications differ.

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What states have the most Tds Engineer jobs?

States with the most job openings for Tds Engineer jobs include:

What are popular job titles related to Tds Engineer jobs?

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Infographic showing various Tds Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.

Director - R&D DDSAI - Therapeutics Development & Supply (TDS)

Reading, PA โ€ข On-site

Full-time

Retirement, PTO

Re-posted 13 hours ago


Key responsibilities

  • Lead the design, build, and optimization of scalable data product pipelines and platforms that integrate TDS data from diverse sources.

  • Partner to define and execute the TDS Data Product strategy and deliver high-quality, AI-ready data products for TDS projects.

  • Recruit, develop, and lead a team of data product engineers, ontology developers, and data scientists.


Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
People Leader
All Job Posting Locations:
Spring House, Pennsylvania, United States of America
Job Description:
Director- TDS Data, Data Science & AI - R&D DDSAI - Therapeutics Development & Supply (TDS)
Johnson & Johnson Innovative Medicine is recruiting for Director- TDS Data, Data Science & AI - R&D DDSAI - Therapeutics Development & Supply (TDS)
The primary location for this position is open to Spring House, PA
J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/
POSITION SUMMARY
Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing and Controls (CMC), Device development, and clinical supply chain. This organization ensures that every molecule, modality and delivery system is robustly developed, scaled, and supplied under rigorous and regulatory standards.
The R&D Data Science organization is seeking a Director, Data, Data Science and AI to lead a team of data product engineers, data scientists, and ontology developers in support of the Therapeutics Development and Supply organization. This people leader role is responsible for building and scaling the data engineering, semantic, ontology, and knowledge graph capabilities that underpin all AI/ML and analytics work across TDS. You will lead a team of 5+ individual contributors and partner with cross-functional teams across R&D, DDSAI, and J&J IT to deliver AI-ready, governed, and reusable data products for TDS.
KEY RESPONSIBILITIES
Data & Data Product Leadership
  • Partner to define and execute the TDS Data Product strategy aligned to TDS and DDSAI priorities; build a multi-year roadmap for data products and ontology that enable AI/ML and GenAI priorities for TDS
  • Define and deliver high-quality, AI-ready data products that serve TDS lighthouse projects and foundational analytics needs.
  • Lead the design, build, and optimization of scalable data product pipelines and platforms that integrate TDS data from diverse sources (ELNs, MES, LIMS, SAP, quality systems, clinical supply).
  • Deploy data quality standards, lineage tracking, and governance practices aligned with enterprise and GxP requirements.
  • Quality Safety & Compliance: Ensure data integrity, data model validation, computerized system compliance, and transparent data model interpretability in regulated environments

Semantic Layer & Ontology Strategy
  • Co-deliver the TDS-specific semantic layer strategy: ontologies, reference data, controlled vocabularies, knowledge graph development, and integration with enterprise canonical models.
  • Partner with DDSAI's Data Strategy & Products team to ensure alignment with R&D-wide data architecture and ontology governance.
  • Support TDS data scientists with scalable platforms to develop, maintain, and scale TDS ontologies, KGs and reference data

People Leadership & Cross-Functional Partnership
  • Recruit, develop, and lead a team of data product engineers, ontology developers, and data scientists.
  • Establish and maintain dotted-line operating model with DDSAI's Data Strategy & Products leadership team

QUALIFICATIONS
Required
  • Advanced degree in Computer Science, Data Science, Engineering, or a related quantitative field.
  • 10+ years of experience in data engineering, data architecture, or data science platform development, with at least 3 years in a people leadership role.
  • Deep expertise in modern data stack technologies: cloud-based architectures (AWS, Snowflake), Python, SQL, graph databases, and semantic technologies, including knowledge graphs
  • Demonstrated experience building and scaling data teams that deliver enterprise-grade data products.
  • Strong cross-functional leadership skills with the ability to influence and align across technical and business stakeholders at the Senior Director and VP level.

Preferred
  • Experience in pharmaceutical R&D, life sciences manufacturing, or regulated (GxP) environments.
  • Familiarity with ontology engineering (OWL, RDF, SKOS), knowledge graphs, and FAIR data principles.
  • Experience with MLOps platforms and practices (model registries, feature stores, automated retraining pipelines).
  • Track record of partnering with IT and data platform organizations to co-own technical architecture decisions.

Why This Role Is Unique
You will build the data and AI foundation for one of the most ambitious digital transformations in pharmaceutical R&D. Your team's work - the pipelines, semantic models, and ML infrastructure - will directly determine whether TDS can scale AI from lighthouse pilots to enterprise-grade, autonomous decision-making systems.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
#JRDDS
#JNJDataScience
JNJIMRND-DS
Required Skills:
Preferred Skills:
Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning
The anticipated base pay range for this position is :
$164,000.00 - $282,900.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits