Sr. Analytics Engineer Job at Eftsure (North Sydney)

Analytics Engineer / Sr. Business Intelligence Engineer

Tourism Economics, a subsidiary of Oxford Economics, is looking to hire an Analy...

Location

United States , Philadelphia

Salary:

Not provided

Oxford Economics

Expiration Date

Until further notice

Requirements

3–6 years as an analytics engineer, BI engineer, or data engineer in a data-driven SaaS or analytics-heavy environment
Solid understanding of data modeling principles (Kimball, Data Vault, or modern ELT patterns)
Strong proficiency in SQL and dbt (required)
Experience with modern cloud data warehouses (Snowflake, BigQuery, or Redshift)
Familiarity with orchestration tools such as Airflow, Prefect, or Dagster
Working knowledge of Python for transformation, validation, or automation
Experience with BI tools such as Looker, Tableau, or Power BI

Job Responsibility

Build and own the data modeling layer in Snowflake using dbt, transforming raw datasets into reliable, well-documented tables and metrics
Design scalable, future-proof data structures that support new product features, analytical use cases, and organizational growth
Create and maintain the semantic layer that standardizes metrics and enables self-service analytics
Automate, monitor, and optimize data pipelines to ensure reliability, version control, and transparent data lineage
Partner with BI engineers to deliver intuitive, performant datasets for dashboards and reporting in tools like Looker, Tableau, or Power BI
Work with business stakeholders to gather requirements and translate them into effective, technically sound data solutions
Collaborate with data, product, and analytics teams to identify opportunities for data-driven decision-making
Implement and maintain QA, testing, and data validation standards across all data models
Develop measurement and evaluation frameworks to ensure models meet performance and accuracy expectations
Maintain comprehensive documentation of data models, business logic, and metric definitions

Fulltime

Sr Software Engineer Analytics (US Federal)

Your work days are brighter here. We’re obsessed with making hard work pay off,...

Location

United States , Reston

Salary:

151500.00 - 227300.00 USD / Year

Workday

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience working with infrastructure, either on-premises or cloud-based, with a deep understanding of systems architecture, networking, and security.
Strong understanding of Kubernetes concepts, architecture, and administration.
Bachelor's degree in a computer related field or equivalent work experience
Infrastructure as code: Proficiency in infrastructure automation tools like Terraform.
CI/CD: Experience with building or maintaining CI/CD pipelines and tools like Argo CD.
Cloud experience: 3+ years experience working with AWS cloud services in a production setting.
Programming skills: Proficiency in at least one programming language, preferably GoLang or Python.
Problem-solving: Strong analytical and problem-solving skills.
Communication: Excellent communication and collaboration skills.

Job Responsibility

Design and implement: Design, develop, and implement solutions for our Kubernetes platform, including infrastructure automation, CI/CD pipelines, and observability tools.
Build and maintain: Build and maintain core platform components, ensuring high availability, scalability, and security.
Automate and optimize: Automate infrastructure provisioning, configuration management, and application deployments using tools like Terraform and Argo CD.
Troubleshooting and support: Provide support and troubleshooting for platform-related issues, working closely with development teams to resolve problems.
Security and compliance: Implement and maintain security best practices for the platform, ensuring compliance with industry standards.
Documentation and knowledge sharing: Create and maintain comprehensive documentation for platform components and processes. Actively participate in knowledge sharing within the team.
Collaboration: Collaborate effectively with other engineers, development teams, and stakeholders across multiple locations and time zones.
Stay current: Stay up to date with the latest technologies and trends in the platform engineering space.

Fulltime

Sr. Security Analytics Engineer - Rules

GEICO is looking for a highly skilled Security Analytics Engineer to join our se...

Location

United States , Chevy Chase; Palo Alto; Seattle

Salary:

105000.00 - 230000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Strong knowledge of security concepts, including TCP/UDP protocols, secure data transmission, and encryption techniques
Experience with system design & architecture for security data platforms
Experience with Kusto Query Language (KQL), SQL, and other data query languages
Hands-on experience with SIEM platforms (Google Chronicle preferred)

Job Responsibility

Develop and optimize queries using Kusto Query Language (KQL), Yara-L and SQL for data analysis and security insights
Collaborate with security analysts, data engineers, and software developers to ensure the security data ecosystem meets organizational needs

What we offer

Comprehensive Total Rewards program
401K savings plan with 6% match
Performance and recognition-based incentives
Tuition assistance
Mental healthcare
Fertility and adoption assistance
Workplace flexibility
GEICO Flex program (work from anywhere in the US for up to four weeks per year)

Fulltime

Sr. Principal Engineer, Interact Analytics Experiences

We’re looking for a Principal Engineer to lead Highspot’s Analytics Platform cap...

Location

United States , Seattle

Salary:

277391.00 - 342391.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

Proven Experience – 10+ years in software engineering with deep experience in analytics platforms, query engines, OLAP databases, and frontend analytics frameworks
Expertise in Analytics & Query Processing – Strong hands-on knowledge of OLAP databases, query transpilation, analytics frameworks, and frontend-driven analytics experiences
Expertise in Frontend Analytics & Component Architecture – Experience designing and developing reusable, performant, and scalable frontend components for interactive analytics experiences. Deep understanding of modern frontend frameworks, component-based architecture, and state management patterns to enable dynamic, data-rich visualizations
Architectural Leadership – Experience designing and implementing scalable analytics-serving platforms and interactive query experiences with frontend and backend considerations
Strong Programming and Data Skills – Proficiency in SQL, TypeScript, React, and modern transpilation techniques, with a solid understanding of query optimization, frontend component reusability, and performance tuning
Cloud-Native & Infrastructure Knowledge – Familiarity with AWS, Kubernetes, and Terraform/Pulumi, with a focus on analytics services and frontend scalability
Technical Leadership – Proven ability to drive cross-functional technical initiatives and influence platform decisions across both backend and frontend architectures
Analytical Mindset – Passion for solving complex problems in interactive analytics, frontend visualization, query processing, and composable reporting frameworks
High Standards for Reliability and Performance – Commitment to ensuring high query performance, frontend responsiveness, availability, and data accuracy

Job Responsibility

Architect and Scale the Analytics Platform – Design and evolve the key parts of our system including database/query optimizations, backend scalability, and frontend framework improvements to support self-serve analytics and real-time insights
Lead Frontend and Backend Analytics Excellence – Ensure the Analytics Platform provides a scalable, efficient, and well-governed foundation for serving analytical queries and reports while advancing the frontend component architecture to support interactive analytics experiences
Own End-to-End Analytics Flow – Guide the transformation, querying, and visualization of analytics data, optimizing for performance, usability, and seamless integration across backend and frontend systems
Evolve Role-Based Access Control (RBAC) for Data Governance – Enhance our RBAC framework to ensure the right people have access to the data they need while maintaining security, compliance, and performance across the Analytics Platform
Enable Advanced Visualization & Reporting – Partner with Product and Engineering teams to evolve and optimize our ad-hoc data visualization and reporting framework, ensuring robust composable components with efficient state management and interaction logic
Drive Best Practices and Technical Standards – Establish and evangelize patterns for query optimization, schema evolution, frontend component reusability, and analytics-driven UI design
Lead and Mentor – Act as a technical leader and mentor for engineers across the team, providing deep technical guidance on analytics, query performance, frontend development, and reporting challenges
Cross-Team Collaboration – Partner with engineering teams across product, backend, frontend, Data-Platform and AI/ML to ensure a seamless, high-performing analytics experience
Operational Excellence – Define and drive SLA, availability, and performance objectives, ensuring the Analytics Platform meets the needs of our Analytics and Insights vision

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Sr Lead Software Engineer, Analytics - Shopping

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean

Salary:

209000.00 - 238500.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Sr. Digital Solution Engineer - Data & Analytics

Our purpose is to empower organizations to transform the way they work by harnes...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
10+ years of strong experience in data and analytics technologies, such as: SQL, data warehousing, and ETL/ELT pipelines
Experience with cloud platforms (preferably Microsoft Azure)
Customer-facing experience (pre-sales, consulting, or architecture roles)
Strong communication, presentation, and problem-solving skills

Job Responsibility

Build strong relationships with customer technical stakeholders
Understand business objectives and translate them into technical requirements
Provide guidance on modern data platform strategies and best practices
Design scalable, secure, and high-performance architectures using Azure Data Services
Lead architecture discussions and whiteboarding sessions
Align solutions to customer business outcomes and cloud best practices
Deliver Proof of Concepts, pilots, technical demos and prototypes, Architecture Design Sessions
Validate solution feasibility and demonstrate value in real-world scenarios
Influence and support customers in making technical decisions in favor of Azure
Collaborate with account teams to accelerate deal progression, identify expansion opportunities, and contribute to pipeline growth

Fulltime

Sr. Staff Software Engineer - Advanced Analytics Platform

At DISQO, we’re redefining how companies turn data into decisions. Our mission i...

Location

United States , Los Angeles, Glendale

Salary:

200000.00 - 240000.00 USD / Year

DISQO

Expiration Date

Until further notice

Requirements

12+ years of professional software engineering experience
5+ years architecting or building high-performance data systems or analytics platforms
3+ years of product Rust experience
Deep expertise in Rust and strong experience in Java
Proven track record building large-scale data analytics or OLAP systems from the ground up
Deep understanding of columnar data engines, vectorized execution, and query/dataframe optimization
Hands-on experience with performance engineering, profiling, and hardware-aware optimization
Strong expertise with AWS - designing, deploying, and optimizing large-scale data and compute systems in the cloud
A systems-thinking mindset
Thrives in a fast-moving, startup environment

Job Responsibility

Architect and deliver a high-performance Advanced Analytics Engine
Design and build an Agentic AI system that leverages this Advanced Analytics Engine
Partner with product, engineering and data teams to power agentic AI analytics systems
Profile, benchmark, and optimize Rust components
Leverage AWS cloud services to architect scalable, reliable, and cost-efficient analytics infrastructure
Shape the evolution of DISQO’s broader data platform and its integration across our product ecosystem
Mentor and guide engineers
Contribute to open-source or internal frameworks that advance analytical systems and distributed computation

What we offer

100% covered Medical/Dental/Vision for employee
Equity
401K
Generous PTO policy
Flexible workplace policy
Team offsites, social events & happy hours
Life Insurance
Health FSA
Commuter FSA (for hybrid employees)
Catered lunch and fully stocked kitchen

Fulltime

Engineer / Sr Engineer

Location

India , Chennai

Salary:

Not provided

Randstad

Expiration Date

June 28, 2026

Requirements

5-10 years of experience in software development using C++ programming language
Experience in preparing software architecture, design for the development of software products
Ability to create and/or read and interpret, the architecture and design diagrams
Experience in Software Development using Agile Scrum methodology
Excellent debugging skills
Excellent analytical skills and ability to apply the knowledge to solve practical problems
Excellent problem-solving skills
Ability to mentor and coach the others on the technical aspects
Experience in the tools – Visual Studio, Google Test, Git

Fulltime

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Sr. Analytics Engineer

Job Description

Job Responsibility

Requirements

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