Data Engineer
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.
Being a Data Engineer at iManage means…
You get excited about data, and you believe in the democratization of data to support data-driven decision making and AI.
As a Data Engineer on the Enterprise Data team, you implement, support, and extend our Enterprise Data Lake that is hosted on Microsoft Azure. You gather requirements from iManage business units and craft solutions which provide access to critical business data. You will become an in-house expert in the data models of multiple, disparate enterprise SaaS systems and provide recommendations and solutions for consolidation, transformation, and integration of the disparate data sources. You will develop schemas and data pipelines for our Enterprise Data Lake and provide integration with machine learning platforms and business intelligence tools. You are enthusiastic about Delta Lake architecture and understand concepts of Delta Lake and a medallion data lake design.
iM Responsible For…
- Using Python and PySpark to extract, transform, and load data into our Enterprise Data Lake using a medallion architecture.
- Learning and using system-specific APIs to extract data from a wide-variety enterprise SaaS applications, including Totango, Salesforce, and Zendesk.
- Defining data pipelines to write data with a high degree of accuracy to enterprise SaaS applications such as Totango, Salesforce, and Zendesk.
- Developing semantic models to support business intelligence tools like Power BI.
- Migration of pipelines, Spark notebooks, triggers, semantic models, and Power BI dashboards from Microsoft Synapse to Microsoft Fabric.
- Gathering data requirements from various business stakeholders and translating these requirements into deliverables which provide value to the business.
- Working in an agile fashion aligned with our team Agile Methodologies.
- Adhering to team standards for secrets management and change control.
- Applying best practices to ensure the security and privacy of the data repositories.
iM Qualified Because I Have…
- A Bachelor’s degree or higher in Computer Science or equivalent field.
- 1-2 years of experience working with data in a business setting.
- Proficiency with data extraction, manipulation and subsequent reporting with Transact-SQL, Spark, Python, and REST APIs.
- Proficiency designing data pipelines with a cloud-native mindset.
- Experience with relational databases and data warehouse design using star schemas.
- A passion to understand data requirements and deliver scalable, robust solutions that meet those requirements.
- A passion to be a thought leader and work collaboratively within a team.
- A creative mindset with a desire to explore new technologies and create innovative solutions.
Bonus Points If I Have...
- Experience with Delta Lake and medallion architecture for data storage.
- Experience with one or more tools for real-time data streaming, such as Microsoft Event Hub or Apache Kafka.
- Experience architecting data models.
Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyways!
iM Getting To…
- Join a rapidly evolving, industry-leading SaaS company on an exciting journey of growth and scalability!
- Take on meaningful, high-impact challenges by leveraging cutting-edge technologies and best-in-class protocols to drive innovation.
- Own my career path with our internal development framework. Ask us more about this!
- Expand my skill set and earn certifications with unlimited access to LinkedIn Learning courses and interactive Microsoft courses & training.
- Be part of a supportive and experienced team within a dynamic, inclusive, and encouraging culture.
- Enjoy flexible work hours that empower me to balance personal time with professional commitments.
- Collaborate in a modern, open-plan workspace featuring a gaming area, free snacks and drinks, and regular social events.
- 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%.
- 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.
- Having multiple company wellness days each year to prioritize mental health and well-being.
- Providing access to RethinkCare, a global behavioral health platform that enhances personal well-being, strengthens professional resilience, and empowers parental success through expert-led training and resources.
The overall US annual base salary range for this position is $87,000–$135,000 per year. 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, commission, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process.
iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicates from emails using the @imanage.com domain. If you have any concerns or questions about communications you have received, please send them to [email protected] so our team members can review. About iManage…At iManage, we are dedicated to Making Knowledge Work™. Our intelligent, cloud-enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of 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 embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Learn more at: Please see our recruitment privacy statement for more information on how we handle your personal data. #LI-DNI
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