Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Staff Data Engineer
United States
Actively hiring, first seen by us 3 hours 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 Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Employer’s visa record
- 3 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll bring
All qualificationsCore experience
- 8+ years of experience in data engineering, with a track record of designing and owning data models for complex, production SaaS products with high scale and low latency
- Deep expertise in data modeling, including relational, dimensional, and entity or graph-based approaches, and in choosing the right structure for scale, flexibility, and performance
- Proven experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption
- Hands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar.
- Experience with modern data platforms, including warehouses and lakehouses, and with cloud platforms, preferably AWS
- Solid understanding of data governance, data quality, and row- and field-level security and access control models with experience implementing data quality testing, monitoring, and observability for data pipelines and data assets.
Preferred experience
- Familiarity with contract lifecycle management, legal tech, or document-heavy enterprise domains is a plus
Qualification wording
8+ years of experience in data engineering, with a track record of designing and owning data models for complex, production SaaS products with high scale and low latency
Deep expertise in data modeling, including relational, dimensional, and entity or graph-based approaches, and in choosing the right structure for scale, flexibility, and performance
Proven experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption
Hands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar.
Experience with modern data platforms, including warehouses and lakehouses, and with cloud platforms, preferably AWS
Solid understanding of data governance, data quality, and row- and field-level security and access control models with experience implementing data quality testing, monitoring, and observability for data pipelines and data assets.
Familiarity with contract lifecycle management, legal tech, or document-heavy enterprise domains is a plus
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 2
- Last seen by us
- Nov 14, 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
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 56.
From 13,649 similar postings that came down. Coming down is not always a hire.
Agiloft is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- AWS
- Kafka
- Spark
- Airflow
Where the posting names them
- Hands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar. - Experience with modern data platforms, including warehouses and lakehouses, and with cloud platforms, preferably AWS - Solid understanding of data governance, data quality, and row- and field-level security and access control models with experience implementing data quality testing, monitoring, and observability for data pipelines and data assets.
- Proven experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption - Hands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar. - Experience with modern data platforms, including warehouses and lakehouses, and with cloud platforms, preferably AWS
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Has Agiloft posted this job before?
Yes. We’ve followed one other Staff Data Engineer job there since November 2026. It is still up.
Demand for Data Engineer roles
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.
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
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
We are looking for an experienced Staff Data Engineer to lead the next generation of our contract data model. In this role, you’ll collaborate with Product and Engineering to design and deliver a new, more efficient data model that will serve as the foundation for contract intelligence, AI-extracted data, and analytics across our CLM platform. You will play a key role in deciding the go-forward data model and system of record, and in leading its implementation from initial rollout through expanded adoption.
Job Responsibilities
- Lead the design and delivery of a new, efficient and scalable data model, and plan the transition including migration strategies that minimize disruption for existing customers
- Partner with Product and Engineering leadership to define the long-term data architecture and system of record, and drive key architectural decisions across teams
- Design, build, and maintain scalable data pipelines and data flows across core applications, AI services, and analytics systems
- Build and evolve the data warehouse and analytics layer that powers customer insights, workflow automation, and AI-driven features
- Ensure data platforms meet high standards for performance, security, privacy, compliance, and cost efficiency
- Implement monitoring and automated data quality checks to keep pipelines and data assets reliable and trustworthy
- Establish data governance standards, including documentation, lineage, and retention
- Collaborate with Data Science, ML, Professional Services, and customer-facing teams on analytics, integrations, and data migrations
- Provide technical guidance and mentorship, lead design and code reviews, and contribute to the data roadmap
- Stay current with advancements in data engineering, data modeling, and cloud data platforms to identify and implement best practices
- Leveraging AI assisted tools to enhance productivity, streamline workflows, and support day-to-day activities
- Other duties as assigned
Required Qualifications
- 8+ years of experience in data engineering, with a track record of designing and owning data models for complex, production SaaS products with high scale and low latency
- Deep expertise in data modeling, including relational, dimensional, and entity or graph-based approaches, and in choosing the right structure for scale, flexibility, and performance
- Proven experience leading large-scale schema redesigns or data migrations in live, multi-tenant environments with minimal customer disruption
- Hands-on experience building and operating production data pipelines, including batch and streaming processing, using tools such as Spark, Kafka, Airflow, Glue, or similar.
- Experience with modern data platforms, including warehouses and lakehouses, and with cloud platforms, preferably AWS
- Solid understanding of data governance, data quality, and row- and field-level security and access control models with experience implementing data quality testing, monitoring, and observability for data pipelines and data assets.
- Experience designing semantic layers or data models that power analytics, BI, and AI or LLM-based applications
- Demonstrated ability to drive architecture decisions across teams, write clear design documents, and scope and plan multi-quarter initiatives
- Strong communication skills to effectively collaborate with diverse teams, including product managers, engineers, data scientists, and customer-facing teams
- Familiarity with contract lifecycle management, legal tech, or document-heavy enterprise domains is a plus
A little bit about you
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
Employment type
Full-time
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.