Data Platform Engineer Jobs

New

Senior Data Engineer - Platform Enablement

SoundCloud empowers artists and fans to connect and share through music. Founded...

Location

United States , New York; Atlanta; East Coast

Salary:

160000.00 - 210000.00 USD / Year

SoundCloud

Expiration Date

Until further notice

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

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

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

New

Senior Software Engineer, Data Platform

We are looking for a foundational member of the Data Team to enable Skydio to ma...

Location

United States , San Mateo

Salary:

180000.00 - 240000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

5+ years of professional experience
2+ years in software engineering
2+ years in data engineering with a bias towards getting your hands dirty
Deep experience with Databricks building pipelines, managing datasets, and developing dashboards or analytical applications
Proven track record of operating scalable data platforms, defining company-wide patterns that ensure reliability, performance, and cost effectiveness
Proficiency in SQL and at least one modern programming language (we use Python)
Comfort working across the full data stack — from ingestion and transformation to orchestration and visualization
Strong communication skills, with the ability to collaborate effectively across all levels and functions
Demonstrated ability to lead technical direction, mentor teammates, and promote engineering excellence and best practices across the organization
Familiarity with AI-assisted data workflows, including tools that accelerate data transformations or enable natural-language interfaces for analytics

Job Responsibility

Design and scale the data infrastructure that ingests live telemetry from tens of thousands of autonomous drones
Build and evolve our Databricks and Palantir Foundry environments to empower every Skydian to query data, define jobs, and build dashboards
Develop data systems that make our products truly data-driven — from predictive analytics that anticipate hardware failures, to 3D connectivity mapping, to in-depth flight telemetry analysis
Create and integrate AI-powered tools for data analysis, transformation, and pipeline generation
Champion a data-driven culture by defining and enforcing best practices for data quality, lineage, and governance
Collaborate with autonomy, manufacturing, and operations teams to unify how data flows across the company
Lead and mentor data engineers, analysts, and stakeholders across Skydio
Ensure platform reliability by implementing robust monitoring, observability, and contributing to the on-call rotation for critical data systems

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan

Fulltime

New

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

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

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

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

New

Quality Engineer - AI and Data Platforms

This is a pioneering Quality Engineer role at the intersection of data engineeri...

Location

United Kingdom , Manchester

Salary:

44000.00 - 66000.00 GBP / Year

Matillion

Expiration Date

Until further notice

Requirements

Solid foundation in data engineering: including SQL, ETL/ELT design, and specific experience building data pipelines and managing data movement
Strong practical AI experience: you have used, experimented with, and are an advocate for an AI-first approach to quality engineering
Proficiency in coding in Java or JavaScript to navigate the codebase and implement quality frameworks
Demonstrated Autonomy, Curiosity, and Problem-solving skills, with a willingness to look at challenges in a different way and ask for assistance as needed
Experience in managing end-to-end testing of SaaS applications, including developing and maintaining efficient test automation tooling

Job Responsibility

Leveraging AI and agentic solutions, including our agentic AI product Maia, to accelerate investigation, generate test cases, and increase quality assurance across the Data Productivity Cloud
Performing root cause analysis on pipeline stability issues, particularly identifying why DPC pipelines run out of memory (OOM) within the agents
Building pipelines to automate every process, solutionizing problems to increase overall team and product productivity
Acting as a crucial bridge by collaborating extensively with various teams, raising problems, and ensuring that fixes are implemented effectively
Adopting, implementing, and championing shift-left testing practices across the team, leading an automation-first approach

What we offer

Company Equity
30 days holiday + bank holidays
5 days paid volunteering leave
Health insurance
Life Insurance
Pension
Access to mental health support

Fulltime

Big Data Platform Senior Engineer

Lead Java Data Engineer to guide and mentor a talented team of engineers in buil...

Location

Bahrain , Seef, Manama

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

Senior Data Platform Engineering Manager

We are seeking an experienced Senior Data Platform Engineering Manager to lead a...

Location

United States , Work at, Illinois

Salary:

130295.00 - 260590.00 USD / Year

CVS Health

Expiration Date

January 19, 2026

Requirements

8+ years of experience in data engineering, platform management, or a related role, with a strong focus on cloud data technologies
Proven experience managing and leading technical teams
Deep, hands-on experience with the Azure Databricks platform, including its administration, cluster management, job orchestration, and key features like Delta Lake and Unity Catalog
Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Databricks Certified Data Engineer Professional, and Databricks Certified Platform Administrator
A strong understanding of distributed computing principles and the architecture of large-scale data systems
Exceptional analytical and problem-solving skills with a track record of diagnosing and resolving complex, platform-level issues
Excellent communication, documentation, and presentation skills, with the ability to influence technical and business stakeholders
Proficiency in Terraform, Python, Apache Spark/PySpark, SQL, and Shell scripting
Leading the efforts of 7 platform engineers
Preferred: Familiarity with healthcare data and healthcare insurance feeds, Data Analytics, and ML/AI

Job Responsibility

Own the strategic vision and roadmap for the Azure Databricks platform, aligning it with company-wide data and business goals
Lead, mentor, and build a high-performing team of data engineers and platform specialists
Act as the primary point of contact for platform-related issues and opportunities, communicating effectively with executive leadership and technical teams
Ensure new data engineering team members are onboarded consistently with best practices
Advocate for best practices, create reusable patterns and libraries, and provide expert-level technical support and training to data engineering teams
Ensure the platform's operational health, including performance, security, and cost management
Oversee platform maintenance, upgrades, and migrations to ensure reliability and minimize downtime
Establish and enforce best practices for development, data governance, quality, and security on the platform
Drive the continuous enhancement of the platform by introducing new tools, features, and capabilities
Evaluate and integrate new data technologies to improve efficiency, scalability, and performance

What we offer

Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan
No-cost programs for wellness screenings, tobacco cessation, and weight management programs
Confidential counseling and financial coaching
Paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, and retiree medical access
Award target in the company’s equity award program

Fulltime

New

Senior Platform Engineer, ML Data Systems

We’re looking for an ML Data Engineer to evolve our eval dataset tools to meet t...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

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

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

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

Principal Data Platform Engineer

Are you passionate about data platforms and tools? Are you an open-minded, struc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

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

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

health coverage
paid volunteer days
wellness resources

Fulltime

Data Platform Engineer

Hunter Bond

Location:
United Kingdom, London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 09, 2025

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