Data Engineer II (with MLOps)
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
About airSlate
airSlate is a global SaaS technology company that develops no-code workflow automation electronic signature and document management solutions. Our award-winning products -SignNow pdfFiller DocHub airSlate WorkFlow Instapage and US Legal Forms- serve over hundreds of millions of users and more than one million customers worldwide helping organizations of every size digitize processes improve efficiency and transform how they work.
Were in an exciting phase of growth and transformation with teammates in more than 20 countries across three continents and main hubs in theUnited States Poland Romania Ukraine and Philippines.
At airSlate were building value for customers and a culture where growth and innovation go hand in hand. Were looking for people eager to shape products scale a company and thrive in a fast-moving environment.
About the Marketing Engine team:
The marketing team handles comprehensive 360º communication and comprises over 150 people. We manage all aspects in-house and operate a robust automation engine. Our combined monthly traffic across all brands exceeds 31 million. As a marketing team member youll play a crucial role in the upcoming phase of our brands growth as we expand and introduce new products to the market.
What youll be working on:
- Design and maintain scalable batch data pipelines in AWS to power analytics and ML use cases.
- Develop and optimize SQL transformations and analytical datasets for BI and predictive workloads.
- Build reliable ETL/ELT processes with monitoring and data quality checks.
- Create feature-ready datasets and support feature engineering pipelines for ML initiatives.
- Deliver production-grade data to support elasticity modeling and advanced performance analytics.
- Design data infrastructure for A/B testing and measurable experimentation.
- Develop ingestion pipelines for marketing and campaign analytics.
- Contribute to CI/CD-driven MLOps workflows for model deployment and monitoring in AWS.
- Collaborate on data governance cost optimization and scalable architecture decisions.
- Enable integration of AI and LLM-powered capabilities through robust future-ready data services.
What we expect from you:
- Proven experience designing and maintaining scalable data pipelines in AWS.
- Strong SQL skills and experience building analytical datasets for BI and ML.
- Hands-on experience with ETL/ELT processes and data quality best practices.
- Understanding of ML data preparation and feature engineering workflows.
- Experience supporting production systems with reliability and performance in mind.
- Solid knowledge of cloud-based data architecture and cost optimization principles.
- Ability to collaborate effectively across teams and translate business needs into technical solutions.
What helps you stand out:
- Experience contributing to MLOps workflows and CI/CD for ML models.
- Exposure to A/B testing infrastructure and experimentation frameworks.
- Familiarity with AI/LLM integration in product environments.
- Experience in marketing analytics or campaign data pipelines.
- A proactive mindset with a strong sense of ownership and curiosity about emerging AI trends.
What we offer
Flexible working environment- Our teams operate across the globe. We value inperson collaboration in our hubs but we also embrace remote and hybrid working. You can work from one of our offices in the United States Poland Romania or Ukraine or remotely from many countries.
Competitive compensation and stock options- We offer salaries that reflect local market conditions and experience plus a performance-based bonus system and stock options so you share in the companys growth.
Professional growth and learning- We invest in your development through courses conferences and access to learning resources. We encourage career growth and internal mobility supporting teammates who want to explore new opportunities within airSlate.
Health and wellbeing- We provide comprehensive benefits tailored to each country including health coverage wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days when everyone takes time off to rest and recharge.
Familyfriendly culture- Family life is part of who we are and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids to company-wide family days and our pet-friendly approach were committed to making work and life easier to balance.
Giving back- We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions matching employee donations and supporting causes chosen by our teams.
Open communication- We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO we make sure everyone has the chance to be heard and to influence how we grow.
It is airSlates policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individuals race religion ethnicity color sex sexual orientation gender identity or expressions transgender status sexual and other reproductive health decisions marital status age national origin genetic information ancestry citizenship physical or mental disability veteran or family status or any other basis protected by applicable national federal state provincial or local law. airSlates policy prohibits unlawful discrimination based on any of these impermissible bases as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law where applicable airSlate will consider for employment qualified applicants with arrest and conviction records.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
We build automation products that keep work moving. From editing and signing documents to automating business processes—discover how airSlate helps teams work smarter and grow faster.
