Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-09-22). Last seen at its source 2h ago.
We have tracked this listing since 22 Sep 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $156.6k–212.6k/yr
Middle 50% of 1275 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 9d ago · last seen 2h ago
The listing
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.
Requirements
Key Responsibilities:
- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks.
- Architect and manage secure enterprise cloud storage, including ADLS Gen2, Delta Lake, and relational/NoSQL databases.
- Ingest and process both high-volume batch data and real-time streaming workloads.
- Optimize database queries, PySpark jobs, and data pipeline performance to minimize execution time and cloud costs.
- Collaborate with BI and analytics teams to model dimensional data marts (Star/Snowflake schemas) for reporting.
- Implement data governance, automated data quality validation, and end-to-end lineage tracking (e.g., via Microsoft Purview).
- Secure data pipelines and storage using Azure Role-Based Access Control (RBAC), Key Vaults, and encryption standards.
- Automate infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.