Back to jobs

Senior Data Engineer

Raleigh, North Carolina, USA

Pay
USD 134,000–203,000/yearAnnual period assumed — pay source
Salary $134,000—$203,000 USD See here our AI policy.
Read the full posting
Work setting
Not stated
Employment
Not stated

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
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 in the United States.
Read the full posting
Apply at Referrals Only

What you’ll work on

Full posting
  • Develop and operate modern data architecture and end-to-end data solutions

  • Build intricate data processing pipelines for clients' hard problems

  • Design scalable implementations of data scientists' models

  • Write clean, test-driven code and deploy and support data pipelines

  • Design data models and implement them on the chosen technology stack

From the employer’s posting
You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
You will develop intricate data processing pipelines, addressing clients' most challenging problems.
You will collaborate with data scientists to design scalable implementations of their models.
You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.

What you’ll bring

All qualifications

Core experience

  • You have hands-on experience of data modeling and modern data engineering tools and platforms.
  • You have experience in writing clean, high-quality code using the preferred programming language.
  • You have experience with data visualization techniques and can communicate the insights as per the audience.
  • You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
  • You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
  • Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery).
Qualification wording
You have hands-on experience of data modeling and modern data engineering tools and platforms.
You have experience in writing clean, high-quality code using the preferred programming language.
You have experience with data visualization techniques and can communicate the insights as per the audience.
You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery).

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • Delta Lake
  • GCP
  • NoSQL
  • Redshift
  • Snowflake
Source — Tool mentions in context
- You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). - Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery). - Experience with one or more major cloud platforms (AWS, Azure or GCP) and Machine Learning/AI/Gen AI/LLM.
- You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. - You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). - Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery).
- Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery). - Experience with one or more major cloud platforms (AWS, Azure or GCP) and Machine Learning/AI/Gen AI/LLM. Professional Skills

About Referrals Only

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech.

In the employer’s words · Read in context

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 8, 2026 · 22 days ago
Recorded sightings
19
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

Job responsibilities

  • You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
  • You will develop intricate data processing pipelines, addressing clients' most challenging problems.
  • You will collaborate with data scientists to design scalable implementations of their models.
  • You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
  • You will use different distributed storage and computing technologies from the plethora of options available.
  • You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
  • You will collaborate with the team on the areas of data governance, data security and data privacy.
  • You will incorporate data quality into your day-to-day work.

Job qualifications

Technical Skills

  • Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems.
  • You have hands-on experience of data modeling and modern data engineering tools and platforms.
  • You have experience in writing clean, high-quality code using the preferred programming language.
  • You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
  • You have experience with data visualization techniques and can communicate the insights as per the audience.
  • You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
  • You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
  • Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery).
  • Experience with one or more major cloud platforms (AWS, Azure or GCP) and Machine Learning/AI/Gen AI/LLM.

Professional Skills

  • You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
  • You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
  • You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
  • You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
  • You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Extra important information

EEO Statement

  • Thoughtworks is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, ancestry, veteran status, or any other protected class.
  • As a federal contractor, Thoughtworks is an affirmative action employer of protected veterans and individuals with disabilities.

Accommodations

  • Thoughtworks is committed to providing reasonable accommodations to applicants with disabilities and to applicants with sincerely held religious beliefs throughout the hiring process. If you need an accommodation to apply or participate in the interview process, please complete this form or speak with your recruiter.

US - Work Authorization

  • 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 in the United States.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

Salary

Benefits: https://www.thoughtworks.com/en-us/careers/benefits

The annual salary range posted is subject to many factors and may vary depending on experience, geographic location, job responsibilities, performance, skills and/or training.

Salary
$134,000—$203,000 USD

See here our AI policy.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Salary $134,000—$203,000 USD See here our AI policy.
Location & working pattern

Raleigh, North Carolina, USA

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Thoughtworks is committed to providing reasonable accommodations to applicants with disabilities and to applicants with sincerely held religious beliefs throughout the hiring process. If you need an accommodation to apply or participate in the interview process, please complete this form or speak with your recruiter. US - Work Authorization - 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 in the United States. Responsible Use of AI in Recruitment

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.