Azure Data Engineer

Chicago, Illinois, United States

Actively hiring, first seen by us 5 days ago

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Design and implement advanced analytics capabilities
Build data ingestion pipelines in Azure Data Factory for structured and unstructured data
Harmonize raw data into consumer-friendly formats using Azure Databricks

From the employer’s posting

responsible for designing, and implementing advanced analytics capabilities

Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data

Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks

What you’ll bring

All qualifications

Core experience

Bachelor's degree in Computer Science or similar field
Strong Python scripting
Experience extracting, querying and joining large data sets at scale
Experience building data platforms using Azure stack and Spark SQL
Knowledge of Azure Storage Gen1 and Gen2

Preferred experience

Experience using Snowflake to build data marts on Azure storage
Exposure to big data applications

Qualification wording

Bachelor’s degree in Computer Science or similar field

Strong in Python scripting

Experience extracting/querying/joining large data sets at scale

Experience building data platforms using Azure stack and Spark SQL

Strong knowledge on Azure Storage schematics such as Gen1 and Gen2

Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus

Good to have exposure to Big data applications

Education & alternatives

Requirements - Bachelor’s degree in Computer Science or similar field - Strong in Python scripting

Apply at Tiger Analytics

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20265 days ago
Recorded sightings: 7
Last seen by us: Nov 5, 2026

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

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 5

Early. Similar jobs usually come down between day 6 and day 54.

At Tiger Analytics, jobs usually come down by about day 68.

From 10,948 similar postings that came down, and 25 of Tiger Analytics’s. Coming down is not always a hire.

Tiger Analytics is hiring

64 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Engineer hiring is steady
Its jobs tend to stay up a long time
2% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Databricks
Snowflake
Spark

Where the posting names them

- Bachelor’s degree in Computer Science or similar field - Strong in Python scripting - Experience extracting/querying/joining large data sets at scale

- Experience extracting/querying/joining large data sets at scale - Experience building data platforms using Azure stack and Spark SQL - Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data

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 multiple Fortune 500 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 global analytics consulting team in the world. The Azure Data Engineer will be responsible for designing, and implementing advanced analytics capabilities. Requirements

- Experience building data platforms using Azure stack and Spark SQL - Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data - Strong knowledge on Azure Storage schematics such as Gen1 and Gen2

- Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data - Strong knowledge on Azure Storage schematics such as Gen1 and Gen2 - Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks

- Strong knowledge on Azure Storage schematics such as Gen1 and Gen2 - Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks - Knowledge of Azure networking, security, key vaults, etc.

- Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks - Knowledge of Azure networking, security, key vaults, etc. - Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus

- Knowledge of Azure networking, security, key vaults, etc. - Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus - Good to have exposure to Big data applications

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About the role

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.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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 multiple Fortune 500 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 global analytics consulting team in the world.

The Azure Data Engineer will be responsible for designing, and implementing advanced analytics capabilities.

Requirements

Bachelor’s degree in Computer Science or similar field
Strong in Python scripting
Experience extracting/querying/joining large data sets at scale
Experience building data platforms using Azure stack and Spark SQL
Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
Strong knowledge on Azure Storage schematics such as Gen1 and Gen2
Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
Knowledge of Azure networking, security, key vaults, etc.
Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus
Good to have exposure to Big data applications
Strong communication and organizational skills

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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.

Source details

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