Senior Data Engineer - Databricks

Remote; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Well-being programs

Job summary

CI&T is seeking a Senior Data Developer in San Francisco to design and build robust data pipelines using Databricks, PySpark, and Delta Lake. You will transform data from APIs, databases, and files, while guiding peers and collaborating with data scientists, analysts, and platform engineers.

You will ensure data quality, governance, and security and contribute to DataOps practices, CI/CD, and testing. English fluency is essential for global collaboration.

Qualifications

• Proven experience building large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL).
• Strong Python and SQL programming for data processing and transformation.
• Deep understanding of ETL/ELT frameworks and data warehousing.
• Hands-on experience with DataOps practices: Git, CI/CD, automated testing, IaC.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong problem-solving for performance, scalability and reliability.
• Proficiency in Git.
• Advanced English is essential.

Responsibilities

• Develop and maintain data pipelines across diverse sources (APIs, databases, files).
• Integrate and transform data for business and analytics needs.
• Collaborate with data scientists, analysts, and engineers to deliver high-quality data products.
• Ensure data quality, governance, security, and reliability of ingested data.
• Follow DataOps practices including version control, testing, and CI/CD.

Skills

Databricks

PySpark

Delta Lake

SQL

Python

ETL/ELT

DataOps

Git

Cloud platforms (AWS/Azure/GCP)

English

CI/CD

Data quality

Tools

Databricks

Power BI

CI/CD pipelines

Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for a Senior Data Developer with strong knowledge in developing and maintaining data pipelines in Databricks, Medallion Architecture, integrating and transforming data from various sources, such as APIs, relational databases, files, and many others!

As a senior member of the team, you will also provide technical guidance, mentor peers, and collaborate with cross-functional teams including data scientists, analysts, and platform engineers.

As a Senior Data Developer, you will lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborating closely with business and analytics teams, you will ensure high-quality deliverables that meet the strategic needs of our organization.

Your expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data, therefore driving our mission of Collaboration, Innovation, & Transformation.

Key Responsibilities

• Develop and maintain data pipelines.
• Integrate data from various sources (APIs, relational databases, files, etc.).
• Collaborate with business and analytics teams to understand data requirements.
• Ensure quality, reliability, security and governance of the ingested data.
• Follow modern DataOps practices such as Code Versioning, Data Tests and CI/CD.
• Document processes and best practices in data engineering.

Required Skills and QualificationsMust-have Skills

• Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL).
• Strong programming skills in Python and SQL for data processing and transformation.
• Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing.
• Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, infrastructure-as-code.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services.
• Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues.
• Proficiency in Git.
• Advanced English is essential.

Nice-to-have Skills

• Experience with data contracts, schema evolution, and ensuring compatibility across services.
• Expertise in data quality frameworks (e.g., Great Expectations, Soda, dbt tests, or custom-built solutions).
• Integration with Power BI.

Our benefits:

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
• Profit Sharing and Results Participation (PLR);
• Life insurance
• Continuous learning platform (CI&T University);
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform
• And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.