Are you looking for a Data Engineer job opportunity in India? TIAA is hiring for the position of Analyst – Data Engineering, offering an opportunity to work with data pipelines, Python, SQL, cloud data platforms, and marketing analytics. The position is listed in Mumbai and Pune, India, with a Hybrid Flex work arrangement.
This opportunity may be particularly interesting for candidates who want to build a career in data engineering and work with large datasets, automated data processing, data quality controls, and cloud-based platforms. According to the supplied job description, no prior work experience is required, making this role worth exploring for eligible candidates who want to enter the data engineering field.
In this article, you will find the complete Data Engineer job description, including job details, eligibility criteria, responsibilities, technical skills, application steps, and frequently asked questions.
- 1 Data Engineer Recruitment 2026: Job Overview
- 2 About the TIAA Data Engineer Job Opportunity
- 3 What Does an Analyst – Data Engineering Do at TIAA?
- 4 Data Engineer Eligibility Criteria 2026
- 5 Is the TIAA Data Engineer Job Suitable for Freshers?
- 6 TIAA Data Engineer Salary and Benefits
- 7 TIAA Data Engineer Job Location and Work Model
- 8 TIAA Data Engineer Application Deadline
- 9 Final Words
Data Engineer Recruitment 2026: Job Overview
Here are the important details of the TIAA Analyst – Data Engineering vacancy.
| Particulars | Details |
|---|---|
| Company | TIAA |
| Job Title | Analyst – Data Engineering |
| Job Requisition ID | R260500232 |
| Job Location | Mumbai and Pune, India |
| Work Model | Hybrid Flex |
| Employment Type | Full-time |
| Job Category | Data Engineering |
| Experience Required | No experience required |
| Educational Qualification | University degree preferred |
| Key Technical Skills | Python, SQL, ETL/ELT, Data Pipelines |
| Cloud Platforms | Snowflake or similar cloud-based platforms, including AWS |
| Salary | Not specified in the supplied job description |
| Application Deadline | October 30, 2026, according to the supplied listing |
Candidates searching for Data Engineer jobs for freshers should review this vacancy because the listing explicitly states that no experience is required. However, applicants should still verify the education and technical requirements on the official application page.
About the TIAA Data Engineer Job Opportunity
TIAA is recruiting an Analyst – Data Engineering for its Marketing & Communications Data Engineering team. The role focuses on building and maintaining data solutions that support marketing analytics, campaign measurement, brand research, and customer insights.
Data engineering is an important part of modern businesses because organizations depend on reliable data to understand customers, measure performance, and make informed decisions. Data engineers help collect information from different sources, transform it into usable formats, maintain data quality, and make it accessible to analysts and other business teams.
In this position, the selected candidate will collaborate with marketing technology, analytics, and business stakeholders. The work involves developing scalable data pipelines, resolving data issues, implementing automated quality checks, and supporting data governance practices.
The role also includes preparing clean, consistently defined datasets and metadata that can support semantic data layers and responsible AI applications.
For candidates interested in a Data Engineer career, this opportunity combines core data engineering responsibilities with practical exposure to marketing data and modern cloud technologies.
What Does an Analyst – Data Engineering Do at TIAA?
A Data Engineering Analyst helps ensure that data moves accurately and reliably from its original source to the systems where it is needed.
For example, marketing information may come from analytics platforms, customer relationship management systems, APIs, or transferred files. Before the information can be used for reporting or customer analysis, it may need to be collected, validated, transformed, and organized.
The analyst helps build and maintain the processes that perform these tasks. They also investigate data errors, monitor pipeline performance, document data structures, and work with stakeholders to understand changing requirements.
At TIAA, these activities will support marketing analytics, campaign performance measurement, brand tracking, and customer segmentation initiatives.
Data Engineer Eligibility Criteria 2026
One important detail in this vacancy is that no work experience is required. This makes the role worth reviewing for candidates seeking an entry-level data engineering opportunity.
Educational Qualification
TIAA lists a university degree as preferred. The supplied description does not specify a mandatory degree subject, minimum percentage, CGPA, or graduation batch.
Candidates should check the official application form to confirm whether additional education requirements apply.
Experience Requirement
The job listing explicitly states: No Experience Required.
Applicants without previous full-time employment may therefore consider applying if they have the necessary skills and meet any additional requirements shown on the official portal.
Although professional experience is not required, practical knowledge of Python, SQL, data processing, and data validation will be useful for demonstrating suitability for the role.
Technical Skills
The required skills include:
- Strong hands-on experience with Python and SQL.
- Experience with Snowflake or similar cloud-based data platforms, such as AWS.
- Understanding of data quality concepts.
- Familiarity with API- or file-transfer-based data pipelines.
- Understanding of ETL/ELT processes.
- Strong analytical and problem-solving skills.
- Attention to detail and effective communication.
The description does not specify that applicants must have a particular certification.
Candidates should prioritize Python, SQL, data quality, and pipeline fundamentals when preparing for this position.
Both approaches are used to move and prepare data for reporting, analytics, and other applications. The appropriate approach depends on the system architecture, data requirements, and platform capabilities.
Is the TIAA Data Engineer Job Suitable for Freshers?
Yes, the supplied job description states that no experience is required, so candidates without prior work experience should consider reviewing the vacancy.
However, the listing does not explicitly specify a fresher-only hiring drive or a particular graduation batch. Applicants should confirm that they meet the education and other requirements on the official application page.
Freshers can strengthen their applications by developing practical projects involving Python, SQL, data cleaning, ETL pipelines, API data extraction, and data validation.
For example, a portfolio project that collects data from a public API, cleans the records with Python, stores them in a database, and validates the output can help demonstrate relevant skills. Candidates should be prepared to explain their own contribution and the technical decisions behind each project.
TIAA Data Engineer Salary and Benefits
The supplied job description does not disclose the salary or compensation range for the Analyst – Data Engineering position.
Candidates should not rely on unverified salary estimates as official figures. Compensation and benefits should be confirmed through the TIAA recruitment process.
The company describes its workplace as collaborative and emphasizes professional development, future-focused skills, and the use of AI tools. Specific benefits for this vacancy are not detailed in the supplied listing.
TIAA Data Engineer Job Location and Work Model
The position is listed in two Indian locations:
- Mumbai, Maharashtra
- Pune, Maharashtra
The work arrangement is described as Hybrid Flex. The exact number of days required in the office, remote-work eligibility, and location allocation are not specified in the supplied description.
Applicants should confirm the final location and hybrid-work expectations during the recruitment process.
TIAA Data Engineer Application Deadline
According to the supplied listing, the application deadline is October 30, 2026.
Because the recruitment page may change, candidates should confirm that the vacancy remains open before applying. It is sensible to submit an application early rather than waiting until the final date.
Whenever possible, explain the outcome of a project. For example, describe how you automated a repetitive task, identified data inconsistencies, or improved a pipeline’s reliability. Use accurate results and avoid claiming professional experience you do not have.
Final Words
The Data Engineer Job Description 2026 for TIAA’s Analyst – Data Engineering role highlights an opportunity to work with Python, SQL, cloud data platforms, data pipelines, and data quality processes. The role supports marketing analytics and customer insights, giving candidates exposure to practical data engineering challenges.
One important point is that the supplied listing states no experience required, which makes it worth considering for candidates looking to enter the field. Applicants should prepare their technical skills, review the location and work arrangement, and verify the requirements before applying.
Disclaimer: This article is based on the supplied job description and is intended for informational purposes. Job availability, compensation, eligibility, and application details may change. Always refer to TIAA’s official careers portal for the latest information.
