Mumbai, India; Gurgaon, Haryana, India
Actively hiring, first seen by us 2 days agoAladdin Data builds and supports data solutions that enable teams to organize, understand, and use data effectively across the platform.
As a Data Engineer within Aladdin Data, you will build scalable data solutions and develop strong data models that connect technology with business context.
Build and maintain reliable, scalable data pipelines and data products
Design data models across structured, unstructured, and graph data
Organize data into business domains and connect them into an enterprise ontology
Improve performance, scalability and efficiency of data workloads
Own investigations and solutions from design through production
Aladdin Data builds and supports data solutions that enable teams to organize, understand, and use data effectively across the platform. The team works across structured, unstructured, and graph data, connecting information into meaningful business domains and broader enterprise data models.
As a Data Engineer within Aladdin Data, you will build scalable data solutions and develop strong data models that connect technology with business context. You will work across the data lifecycle, from pipeline development and modeling through performance optimization and production, while taking ownership of ambiguous technical problems and translating business concepts into effective data solutions.
Build and maintain reliable, scalable data pipelines and data products.
Design data models across structured, unstructured, and graph data.
Organize data into well-defined business domains and connect them into a broader enterprise ontology.
Improve the performance, scalability, and efficiency of data workloads.
Independently investigate problems and own solutions from design through production.
From the employer’s posting.
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.
In the employer’s words · Read in context
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 6 and day 56.
At BlackRock, jobs usually come down by about day 37.
From 13,749 similar postings that came down, and 196 of BlackRock’s. Coming down is not always a hire.
64 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong hands-on knowledge of Snowflake, including performance, warehouse utilization, cost optimization, and capabilities such as Snowpipe, Tasks, Streams, Dynamic Tables, and Cortex services. - Experience building data solutions using Structured Query Language (SQL), dbt, and Python/Snowpark. - Experience building and operating data orchestration pipelines using directed acyclic graph-based workflow orchestration frameworks for data and batch processing, Prefect, or similar technologies.
- Strong problem-solving skills, with the ability to work through ambiguity independently and understand the business context represented by the data. - Experience with PostgreSQL or similar relational databases and exposure to data platforms supporting artificial intelligence, search, or retrieval-based applications is beneficial. Our benefits
- Experience building data solutions using Structured Query Language (SQL), dbt, and Python/Snowpark. - Experience building and operating data orchestration pipelines using directed acyclic graph-based workflow orchestration frameworks for data and batch processing, Prefect, or similar technologies. - Strong understanding of data modeling, including entities, relationships, domains, and semantic models; familiarity with graph databases, knowledge graphs, and ontologies is beneficial.
Your experience - Strong hands-on knowledge of Snowflake, including performance, warehouse utilization, cost optimization, and capabilities such as Snowpipe, Tasks, Streams, Dynamic Tables, and Cortex services. - Experience building data solutions using Structured Query Language (SQL), dbt, and Python/Snowpark.
Complete your application on careers.blackrock.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 3 other Data Engineer, Aladdin Data, Associate jobs there since November 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About this role
Your team
Aladdin Data builds and supports data solutions that enable teams to organize, understand, and use data effectively across the platform. The team works across structured, unstructured, and graph data, connecting information into meaningful business domains and broader enterprise data models.
Your role and impact
As a Data Engineer within Aladdin Data, you will build scalable data solutions and develop strong data models that connect technology with business context. You will work across the data lifecycle, from pipeline development and modeling through performance optimization and production, while taking ownership of ambiguous technical problems and translating business concepts into effective data solutions.
Your responsibilities
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
Your experience
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
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Mumbai, India; Gurgaon, Haryana, India
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates
No clear work-authorization passage found. Eligibility is unconfirmed.