CrawlJobs Logo

Data Platform Engineer

onetrust.com Logo

OneTrust

Location Icon

Location:
United States , New York

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

81150.00 - 121725.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.

Job Responsibility:

  • Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure
  • Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow)
  • Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments
  • Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA
  • Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy
  • Work effectively using scrum with multiple team members to deliver value effectively
  • Reduce technical debt over time with root cause identification, issue resolution and promote best practices across the platform

Requirements:

  • Bachelor's or master's degree in computer science, Engineering or related field
  • 3+ years of overall experience and 3+ years of experience with very large-scale data warehouse projects
  • Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines
  • 1+ years of experience with Python and manipulation of various data formats for extraction and transformation
  • 1+ years of experience with Snowflake, Airflow, ETL/Integration tools administration
  • Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis)
  • Experience evaluating new tools and enriching existing architecture
  • You are a self-starter, hands-on technical expert who continuously gather and synthesize high-impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables,timelines and tradeoffs
What we offer:
  • comprehensive healthcare coverage
  • flexible PTO
  • equity RSUs
  • annual performance bonus opportunities
  • retirement account support
  • 14+ weeks of paid parental leave
  • career development opportunities
  • company-paid privacy certification exam fees

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
OneTrust - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Platform Engineer

Big Data Platform Senior Engineer

Lead Java Data Engineer to guide and mentor a talented team of engineers in buil...
Location
Location
Bahrain , Seef, Manama
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant hands-on experience developing high-performance Java applications (Java 11+ preferred) with strong foundation in core Java concepts, OOP, and OOAD
  • Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink
  • Familiarity with event-driven architectures and experience in developing real-time, low-latency applications
  • Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake
  • Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS
  • Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams
  • Excellent problem-solving skills and data-driven approach to decision-making
Job Responsibility
Job Responsibility
  • Provide technical leadership and mentorship to a team of data engineers
  • Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components
  • Stay abreast of emerging open-source data technologies and evaluate their suitability for integration
  • Continuously identify and implement performance optimizations across the data platform
  • Partner closely with stakeholders across engineering, data science, and business teams to understand requirements
  • Drive the timely and high-quality delivery of data platform projects
  • Fulltime
Read More
Arrow Right

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
  • Excellent Python programming skills with data engineering libraries and frameworks
  • Advanced SQL capabilities including window functions, CTEs, and performance tuning
  • Solid understanding of distributed processing using Spark/PySpark
  • Experience designing and implementing scalable ETL/ELT workflows
  • Good understanding of data modeling concepts (dimensional, star, snowflake)
  • Familiarity with GenAI/LLM-based integration for data workflows
  • Experience working with Git, CI/CD, and Agile delivery frameworks
  • Strong communication skills for interacting with clients, stakeholders, and internal teams
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
  • Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
  • Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
  • Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
  • Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
  • Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
  • Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
  • Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations
What we offer
What we offer
  • Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
  • Hands-on exposure to modern data stacks and emerging AI technologies
  • Collaboration with experts across Data, AI/ML, and cloud practices
  • Access to structured learning, certifications, and leadership mentoring
  • Competitive compensation with fast-track career growth and visibility
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Platform Enablement

SoundCloud empowers artists and fans to connect and share through music. Founded...
Location
Location
United States , New York; Atlanta; East Coast
Salary
Salary:
160000.00 - 210000.00 USD / Year
soundcloud.com Logo
SoundCloud
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in data engineering, analytics engineering, or similar roles
  • Expert-level SQL skills, including performance tuning, advanced joins, CTEs, window functions, and analytical query design
  • Proven experience with Apache Airflow (designing DAGs, scheduling, task dependencies, monitoring, Python)
  • Familiarity with event-driven architectures and messaging systems (Pub/Sub, Kafka, etc.)
  • Knowledge of data governance, schema management, and versioning best practices
  • Understanding observability practices: logging, metrics, tracing, and incident response
  • Experience deploying and managing services in cloud environments, preferably GCP, AWS
  • Excellent communication skills and a collaborative mindset
Job Responsibility
Job Responsibility
  • Develop and optimize SQL data models and queries for analytics, reporting, and operational use cases
  • Design and maintain ETL/ELT workflows using Apache Airflow, ensuring reliability, scalability, and data integrity
  • Collaborate with analysts and business teams to translate data needs into efficient, automated data pipelines and datasets
  • Own and enhance data quality and validation processes, ensuring accuracy and completeness of business-critical metrics
  • Build and maintain reporting layers, supporting dashboards and analytics tools (e.g. Looker, or similar)
  • Troubleshoot and tune SQL performance, optimizing queries and data structures for speed and scalability
  • Contribute to data architecture decisions, including schema design, partitioning strategies, and workflow scheduling
  • Mentor junior engineers, advocate for best practices and promote a positive team culture
What we offer
What we offer
  • Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
  • Robust 401k program
  • Employee Equity Plan
  • Generous professional development allowance
  • Creativity and Wellness benefit
  • Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
  • 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
  • Various snacks, goodies, and 2 free lunches weekly when at the office
  • Fulltime
Read More
Arrow Right

Data Platform Engineer

Data Platform Engineers at Adyen build the foundational layer of tooling and pro...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
adyen.com Logo
Adyen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluency in Python
  • Experience developing and maintaining distributed data and compute systems like Spark, Trino, Druid, etc
  • Experience developing and maintaining DevOps pipelines and development ecosystems
  • Experience developing and maintaining real-time and batch data pipelines (via Kafka, Spark streaming)
  • Experience with Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos)
  • Team player with strong communication skills
  • Ability to work closely with diverse stakeholders
Job Responsibility
Job Responsibility
  • Develop and maintain scalable and high performance big data platforms
  • Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.)
  • Identify opportunities to improve continuous release and deployment environments
  • Build or deploy tools to enhance data discoverability through the collection and presentation of metadata
  • Introduce and extend tools to enhance the quality of our data, platform-wide
  • Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists
  • Develop streaming processing applications and frameworks
  • Build the foundational layer of tooling and processes for on-premise Big Data Platforms
  • Collaborate with data engineers and ML scientists and engineers to build and roll-out tools
  • Develop and operate multiple big data platforms
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Senior Principal Data Platform Software Engineer

We’re looking for a Sr Principal Data Platform Software Engineer (P70) to be a k...
Location
Location
Salary
Salary:
239400.00 - 312550.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years in Data Engineering, Software Engineering, or related roles, with substantial exposure to big data ecosystems
  • Demonstrated experience building and operating data platforms or large‑scale data services in production
  • Proven track record of building services from the ground up (requirements → design → implementation → deployment → ongoing ownership)
  • Hands‑on experience with AWS, GCP (e.g., compute, storage, data, and streaming services) and cloud‑native architectures
  • Practical experience with big data technologies, such as Databricks, Apache Spark, AWS EMR, Apache Flink, or StarRocks
  • Strong programming skills in one or more of: Kotlin, Scala, Java, Python
  • Experience leading cross‑team technical initiatives and influencing senior stakeholders
  • Experience mentoring Staff/Principal engineers and lifting the technical bar for a team or org
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Job Responsibility
Job Responsibility
  • Design, develop and own delivery of high quality big data and analytical platform solutions aiming to solve Atlassian’s needs to support millions of users with optimal cost, minimal latency and maximum reliability
  • Improve and operate large‑scale distributed data systems in the cloud (primarily AWS, with increasing integration with GCP and Kubernetes‑based microservices)
  • Drive the evolution of our high-performance analytical databases and its integrations with products, cloud infrastructures (AWS and GCP) and isolated cloud environments
  • Help define and uplift engineering and operational standards for petabyte scale data platforms, with sub‑second analytic queries and multi‑region availability (coding guidelines, code review practices, observability, incident response, SLIs/SLOs)
  • Partner across multiple product and platform teams (including Analytics, Marketplace/Ecosystem, Core Data Platform, ML Platform, Search, and Oasis/FedRAMP) to deliver company‑wide initiatives that depend on reliable, high‑quality data
  • Act as a technical mentor and multiplier, raising the bar on design quality, code quality, and operational excellence across the broader team
  • Design and implement self‑healing, resilient data platforms with strong observability, fault tolerance, and recovery characteristics
  • Own the long‑term architecture and technical direction of Atlassian’s product data platform with projects that are directly tied to Atlassian’s company-level OKRs
  • Be accountable for the reliability, cost efficiency, and strategic direction of Atlassian’s product analytical data platform
  • Partner with executives and influence senior leaders to align engineering efforts with Atlassian’s long-term business objectives
What we offer
What we offer
  • health and wellbeing resources
  • paid volunteer days
  • Fulltime
Read More
Arrow Right

Principal Data Platform Engineer

Are you passionate about data platforms and tools? Are you an open-minded, struc...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep understanding of big data challenges
  • Built solutions using public cloud offerings such as Amazon Web Services
  • Experience with Big Data processing and storage technologies such as Spark, S3, DBT
  • SQL knowledge
  • Solid understanding and experience in building RESTful APIs and micro services, e.g. with Flask
  • Experience with test automation and ensuring data quality across multiple datasets used for analytical purposes
  • Experience with continuous delivery, continuous integration, and source control system such as Git
  • Expert level programming skills in OO Programming language like Java, Kotlin or Python
  • Degree in Computer Science, EE, or related STEM discipline
Job Responsibility
Job Responsibility
  • You will partner with analytical teams, data engineers and data scientists across various initiatives working with them to understand the gaps, and bring your findings back to the team to work on building these capabilities
  • In this role, you will be part of the Analytics Management Platform team under the Data Platform
  • The team focuses on building the foundation for Atlassian analytical platforms
  • We are creating frictionless data experiences for data products builders by offering different services and frameworks that help engineers to move fast and enable their users to generate valuable insights from data
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Platform Engineer, ML Data Systems

We’re looking for an ML Data Engineer to evolve our eval dataset tools to meet t...
Location
Location
United States , Mountain View
Salary
Salary:
137871.00 - 172339.00 USD / Year
khanacademy.org Logo
Khan Academy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
  • 5 years of Software Engineering experience with 3+ of those years working with large ML datasets, especially those in open-source repositories such as Hugging Face
  • Strong programming skills in Go, Python, SQL, and at least one data pipeline framework (e.g., Airflow, Dagster, Prefect)
  • Experience with data versioning tools (e.g., DVC, LakeFS) and cloud storage systems
  • Familiarity with machine learning workflows — from training data preparation to evaluation
  • Familiarity with the architecture and operation of large language models, and a nuanced understanding of their capabilities and limitations
  • Attention to detail and an obsession with data quality and reproducibility
  • Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.”
  • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Job Responsibility
Job Responsibility
  • Evolve and maintain pipelines for transforming raw trace data into ML-ready datasets
  • Clean, normalize, and enrich data while preserving semantic meaning and consistency
  • Prepare and format datasets for human labeling, and integrate results into ML datasets
  • Develop and maintain scalable ETL pipelines using Airflow, DBT, Go, and Python running on GCP
  • Implement automated tests and validation to detect data drift or labeling inconsistencies
  • Collaborate with AI engineers, platform developers, and product teams to define data strategies in support of continuously improving the quality of Khan’s AI-based tutoring
  • Contribute to shared tools and documentation for dataset management and AI evaluation
  • Inform our data governance strategies for proper data retention, PII controls/scrubbing, and isolation of particularly sensitive data such as offensive test imagery.
What we offer
What we offer
  • Competitive salaries
  • Ample paid time off as needed
  • 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
  • Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
  • Generous parental leave
  • An exceptional team that trusts you and gives you the freedom to do your best
  • The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
  • Opportunities to connect through affinity, ally, and social groups
  • 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life.
  • Fulltime
Read More
Arrow Right