Senior Platform Engineer

Senior Data Engineer

Senior Data Engineer role at UpGuard supporting analytics teams to extract insig...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

5+ years of experience with data sourcing, storage and modelling to effectively deliver business value right through to BI platform
AI first mindset and experience scaling an Analytics and BI function at another SaaS business
Experience with Looker (Explores, Looks, Dashboards, Developer interface, dimensions and measures, models, raw SQL queries)
Experience with CloudSQL (PostgreSQL) and BigQuery (complex queries, indices, materialised views, clustering, partitioning)
Experience with Containers, Docker and Kubernetes (GKE)
Familiarity with n8n for automation
Experience with programming languages (Go for ETL workers)
Comfortable interfacing with various APIs (REST+JSON or MCP Server)
Experience with version control via GitHub and GitHub Flow
Security-first mindset

Job Responsibility

Design, build, and maintain reliable data pipelines to consolidate information from various internal systems and third-party sources
Develop and manage comprehensive semantic layer using technologies like LookML, dbt or SQLMesh
Implement and enforce data quality checks, validation rules, and governance processes
Ensure AI agents have access to necessary structured and unstructured data
Create clear, self-maintaining documentation for data models, pipelines, and semantic layer

What we offer

Great Place to Work certified company
Equal Employment Opportunity and Affirmative Action employer

Fulltime

Senior Data Engineer

Adswerve is looking for a Senior Data Engineer to join our Adobe Services team. ...

Location

United States

Salary:

130000.00 - 155000.00 USD / Year

Adswerve, Inc.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
5+ years of experience in a data engineering, analytics, or marketing technology role
Hands-on expertise in Adobe Experience Platform (AEP), Real-Time CDP, Journey Optimizer, or similar tools is a big plus
Strong proficiency in SQL and hands-on experience with data transformation and modeling
Understanding of ETL/ELT workflows (e.g., dbt, Fivetran, Airflow, etc.) and cloud data platforms (e.g., GCP, Snowflake, AWS, Azure)
Experience with ingress/egress patterns and interacting with API’s to move data
Experience with Python, or JavaScript in a data or scripting context
Experience with customer data platforms (CDPs), event-based tracking, or customer identity management
Understanding of Adobe Experience Cloud integrations (e.g., Adobe Analytics, Target, Campaign) is a plus
Strong communication skills with the ability to lead technical conversations and present to both technical and non-technical audiences

Job Responsibility

Lead the end-to-end architecture of data ingestion and transformation in Adobe Experience Platform (AEP) using Adobe Data Collection (Tags), Experience Data Model (XDM), and source connectors
Design and optimize data models, identity graphs, and segmentation strategies within Real-Time CDP to enable personalized customer experiences
Implement schema mapping, identity resolution, and data governance strategies
Collaborate with Data Architects to build scalable, reliable data pipelines across multiple systems
Conduct data quality assessments and support QA for new source integrations and activations
Write and maintain internal documentation and knowledge bases on AEP best practices and data workflows
Simplify complex technical concepts and educate team members and clients in a clear, approachable way
Contribute to internal knowledge sharing and mentor junior engineers in best practices around data modeling, pipeline development, and Adobe platform capabilities
Stay current on the latest Adobe Experience Platform features and data engineering trends to inform client strategies

What we offer

Medical, dental and vision available for employees
Paid time off including vacation, sick leave & company holidays
Paid volunteer time
Flexible working hours
Summer Fridays
“Work From Home Light” days between Christmas and New Year’s Day
401(k) Plan with 5% company match and no vesting period
Employer Paid Parental Leave
Health-care Spending Accounts
Dependent-care Spending Accounts

Fulltime

Senior Data Engineer

As a Senior Software Engineer, you will play a key role in designing and buildin...

Location

United States

Salary:

156000.00 - 195000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years experience in platform engineering, data engineering or in a data facing role
Experience in building data applications
Deep knowledge of data eco system with an ability to collaborate cross-functionally
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Excellent communication skills
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open

Job Responsibility

Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
Monitor and ensure the health, quality, and reliability of data flows and platform services
Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
Continuously evaluate and integrate new tools and technologies to improve platform capabilities
Contribute to architectural discussions, code reviews, and cross-functional projects
Document your work, champion best practices, and help level up the team through knowledge sharing

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Senior Data Engineer

We’re hiring a Senior Data Engineer with strong experience in AWS and Databricks...

Location

India , Hyderabad

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow
Hands-on experience working with Databricks, including Delta Lake, Apache Spark (Python or Scala), and Unity Catalog
Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows
Experience with Python, and/or Java
Deep understanding of data structures, data modeling, and software architecture
Strong problem-solving skills and attention to detail
Self-motivated and able to work independently, with excellent organizational and multitasking skills
Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders
Bachelor's Degree in Computer Science, Information Systems, or a related field. A Master's Degree is preferred.

Job Responsibility

Design, build, and manage large-scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS
Design, develop, and maintain scalable data pipelines and architectures on Databricks using tools such as Delta Lake, Unity Catalog, and Apache Spark (Python or Scala), or similar technologies
Integrate Databricks with cloud platforms like AWS to ensure smooth and secure data flow across systems
Build and automate CI/CD pipelines for deploying, testing, and monitoring Databricks workflows and data jobs
Continuously optimize data workflows for performance, reliability, and security, applying Databricks best practices around data governance and quality
Ensure the performance, availability, and security of datasets across the organization, utilizing AWS’s robust suite of tools for data management
Collaborate with data scientists, software engineers, product managers, and other key stakeholders to develop data-driven solutions and models
Translate complex functional and technical requirements into detailed design proposals and implement them
Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team
Identify, troubleshoot, and resolve complex data-related issues

Fulltime

Senior Backend Engineer- Data Ingestion - (ClickPipes Platform)

The ClickPipes Platform plays a critical role in driving the growth of our compa...

Location

United States

Salary:

133450.00 - 197200.00 USD / Year

ClickHouse

Expiration Date

Until further notice

Requirements

5+ years of relevant software development industry experience building data-intensive software solutions
Strong knowledge of Golang and experience with its ecosystem
Experience with distributed systems and microservices architecture
The ability to design and build robust ETL data pipelines that can handle large volumes of data reliably and efficiently
Understanding data replication methodologies like CDC
Good knowledge of cloud-native architecture and practical experience with at least one major CSP
You have excellent communication skills and the ability to work well within a team and across engineering teams
You are a strong problem solver and have solid production debugging skills

Job Responsibility

Develop and enhance integrations with various data sources including streaming platforms, databases, data lakes, and object stores
Continuously improve our systems based on operational metrics, customer feedback, and evolving business requirements
Drive technical discussions and contribute to architectural decisions that impact our platform's scalability and resilience
Participate in on-call rotations to ensure system reliability and respond to production incidents

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime