Data Engineer

iManage LLC
Chicago, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 170K

Job location

Chicago, United States of America

Tech stack

Artificial Intelligence
Azure
Big Data
Cloud Computing
Data Validation
Data Deduplication
Information Engineering
Data Infrastructure
Hive
Python
Machine Learning
Performance Tuning
Azure
Azure
Search Technologies
Unstructured Data
Data Processing
System Availability
GIT
Microsoft Fabric
Data Lake
PySpark
Information Technology
Data Lineage
Data Management
Machine Learning Operations
Data Pipelines
Databricks

Job description

We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance., As a Senior Data Engineer on the Applied Data team, you will design, build, and maintain the data platform and pipelines that support AI/ML solutions, and intelligent features across iManage. You will partner with applied AI, product, and engineering teams to ensure data is well-structured, reliable, and ready to power the next generation of iManage capabilities.

iM Responsible For...

  • Designing, developing, and maintaining scalable data pipelines on Databricks & Microsoft Azure to ingest and transform large volumes of structured and unstructured data from multiple sources
  • Building and optimizing large-scale data workflows for normalization, deduplication, enrichment, and quality enforcement
  • Architecting and managing data platforms that enforce governance, lineage tracking, and access controls across the organization
  • Implementing automated data validation and quality monitoring to ensure accuracy, consistency, and reliability across datasets
  • Supporting AI and ML teams by preparing clean, well-documented datasets and building reliable data interfaces for model development and evaluation workflows
  • Maintaining data lineage and following data privacy, security, and governance best practices across the lakehouse
  • Collaborating with applied AI, analytics, and product teams to understand data requirements and translate them into scalable engineering solutions

Requirements

  • A bachelor's degree or higher in Computer Science, Data Engineering, Applied Mathematics, or a related quantitative field
  • 4+ years of data engineering experience, with a strong track record delivering production-grade pipelines at scale
  • Strong proficiency in Python, PySpark, and Spark SQL for large-scale data processing
  • Hands-on experience with Databricks, including Delta Lake, Delta Live Tables, Unity Catalog, Volumes, and Databricks Workflows
  • Solid understanding of lakehouse architecture principles, including Medallion architecture, and experience designing for reliability, performance, and governance Experience orchestrating data pipelines on cloud infrastructure, preferably Microsoft Azure and Databricks
  • Proficiency with Git and collaborative development practices
  • A strong sense of ownership over data quality and platform reliability

Bonus Points If I Have...

  • Experience with Microsoft Azure services including Azure Data Lake Storage, Azure AI Foundry, Azure ML, and Microsoft Fabric
  • Familiarity with AI or ML workflows and experience supporting data needs for model training, fine-tuning, or evaluation
  • Experience with data processing, including text normalization, embeddings, or semantic search datasets
  • Experience with large document datasets
  • Experience working with data in the legal domain
  • Prior work designing architectures for large-scale document or text corpora

Benefits & conditions

  • Have flexible work hours that allow me to balance my 'me time' with my work commitments.
  • Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events.
  • Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols.
  • Own my career path with our internal development framework. Ask us more about this!
  • Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning.
  • Join an innovative, industry leading SaaS company that is continuing to grow & scale!

iManage Is Supporting Me By...

  • Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.
  • Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.
  • Rewarding me with an annual performance-based bonus.
  • Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.
  • Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.
  • Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
  • Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.
  • Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.

The overall US annual base salary range for this position is $120,000-$170,000. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.

About iManage…

iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications.

We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding.

So we're looking for people who love a challenge. People who are happiest when they're solving problems and collaborating with the industry's best and brightest. That's the iManage way. It's how we do things that might appear impossible. How we develop our employees' strengths and unlock their potential. How we find meaning in everything we do.

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