Data Visualization Designer and Engineer Job at Fivetran (Oakland)

Senior Data Engineer - Analytics and Visualization

As a senior Data Engineer on the ALSO backend team, you will drive technical exc...

Location

United States , Palo Alto

Salary:

165000.00 - 200000.00 USD / Year

ALSO

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering, analytics engineering, or analytics-focused roles with proven experience owning end-to-end analytics and visualization systems
Strong background working with large-scale telemetry and business data
Deep SQL expertise and strong Python (data pipelines, transformations, automation)
dbt or equivalent analytics transformation frameworks
Track record of improving data quality, metric reliability, and dashboard usability
AWS (S3, Glue, Athena, Redshift / Redshift Serverless, Lambda, EventBridge)
Databricks / Spark-based ecosystems
Orchestration tools (Airflow, MWAA, Step Functions, or similar)
Tableau, Power BI, Looker / Looker Studio (or equivalent) and experience building executive and self-serve dashboards
Strong opinions on visualization UX and metric storytelling

Job Responsibility

Design multi-level visualization experiences (exec → operational → deep-dive) and translate complex telemetry and business data into clear, intuitive visuals
Define visualization standards: metric definitions, charting patterns, UX clarity and Own dashboards as long-lived products, not one-off reports
Design and maintain analytics-layer data models (facts, dimensions, wide tables, semantic layers), Build performant datasets optimized for BI tools and large-scale querying
Partner with upstream engineers to shape event and telemetry schemas for downstream analytics, Optimize queries, storage, and compute for scale and cost efficiency in AWS
Define and enforce metric contracts across teams and Implement automated data quality checks (completeness, freshness, correctness)
Design pre- and post-pipeline validation frameworks and reduce metric drift and dashboard inconsistencies
Work cross functionally and turn ambiguous business questions into concrete metrics and dashboards
Influence without authority across multiple teams

What we offer

Robust health coverage
Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options
One Medical membership and dedicated insurance advocates
Rich fertility and family building benefits with Progyny
Flexible time off
401(k) match

Fulltime

New

Data Engineer (Data Visualization Dashboard)

We are seeking a skilled Data Engineer to support a Data Analytics project. The ...

Location

Malaysia , Kuala Lumpur

Salary:

4500.00 - 6000.00 RM / Month

Randstad

Expiration Date

August 24, 2026

Requirements

Strong experience in ETL development and data pipeline design
Solid programming skills in Python for data transformation
Familiarity with data modeling and best practices in data engineering
Ability to work independently and deliver results on a tight timeline
2 years experience
Python
Dashboard visualization
Bachelor's in Computer Software or related

Job Responsibility

Design, develop, and maintain ETL workflows using AWS Glue, Python, and related tools
Integrate data from various sources into a centralized data lake or warehouse
Ensure data quality and consistency across ETL processes
Optimize data pipeline performance and troubleshoot issues
Collaborate with analytics and business teams to understand data requirements

What we offer

Insurance
Travelling allowance

Fulltime

Software Engineer, Data Visualization

The Data Visualization team at OpenAI is responsible for building and maintainin...

Location

United States , San Francisco

Salary:

230000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Strong experience in full-stack software development, with a focus on building scientific or infrastructure visualization tools
Proficiency in both front-end and back-end programming languages such as Python, JavaScript, SQL, or similar
Familiar with front-end technologies like React and back-end technologies like Node.js, and databases like Snowflake
Experience with visualization libraries and frameworks (e.g., Plotly, Grafana)
Strong understanding of full-stack architecture, design principles, and best practices
Excellent problem-solving skills and attention to detail
Strong communication skills and the ability to work collaboratively in a team environment

Job Responsibility

Develop and maintain full-stack visualization tools for hardware and software analysis
Design intuitive front-end interfaces and robust back-end systems for monitoring the performance and health of supercomputer systems
Collaborate with researchers and engineers to understand their needs and deliver effective full-stack visualization solutions
Ensure high performance, reliability, and scalability of visualization tools across both front-end and back-end systems
Continuously improve existing tools and develop new features to meet evolving requirements

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Senior Engineer - Big Data and Business Intelligence

Ready to build the future with AI? At Genpact, we don’t just keep up with techno...

Location

United States , New York

Salary:

189592.00 - 199071.00 USD / Year

The New York Times

Expiration Date

Until further notice

Requirements

Master’s degree in an Engineering (all), Computer Science, Sciences, Mathematics, or a related field and 2 years of experience in the job offered, a related software engineering, programmer, or systems analyst position, or related occupation. As an alternative, a Bachelor’s degree in an Engineering (all), Computer Science, Sciences, Mathematics, or a related field and 5 years of progressively responsible post-Bachelor's experience in the job offered, a related software engineering, programmer, or systems analyst position, or related occupation is acceptable.
2 years of experience with the following: Informatica suite (PowerCenter, Intelligent Cloud Services, Big Data Management)
Amazon Cloud Services (S3, EC2, EMR)
Big Data tools (MapReduce, Spark or similar)
Relational Databases (Oracle Exadata)
Programming Languages (SQL, PL/SQL)
NoSQL Databases (MongoDB or similar)
and Data Visualization Tools (Business Objects, Tableau or similar)

Job Responsibility

Analyze petabytes of structured and unstructured data hosted on cloud, flat files, and a variety of databases (traditional, NoSQL, columnar and in-memory) and create technology road map for data integration
Prepare technical design outlining detailed instructions and logical steps required for coding
Develop, optimize, automate, and maintain software programs, algorithms, and prototypes to handle everyday big data problems
Collect, parse, transform, store, and visualize large sets of data to help end customers unlock the power of data insights and data driven decision-making
Research and recommend software and tools that are pivotal for building impactful data products
Supervise, coach, and mentor junior data engineers

Fulltime

Data and Automation Engineer

Data & Automation Engineer is responsible for integrating data from multiple pla...

Location

Hungary , Budapest

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

Strong experience with data integration and transformation
Advanced SQL skills
Power BI (data modeling, DAX, visualization)
Experience building ETL / ELT pipelines
Programming skills in Python for data processing or AI use cases
Experience consuming APIs and working with structured/unstructured data
Strong analytical mindset
Ability to translate data into clear business insights
Attention to detail and data governance
Proactive approach to automation and optimization

Job Responsibility

Integrate data from multiple sources: Salesforce
SharePoint (Global Engineering documentation)
Supplier systems
Technical support platforms (tickets, Q&A)
Design and maintain ETL / ELT data pipelines
Develop and maintain Power BI dashboards and reports
Ensure data quality, consistency, and traceability across systems
Implement AI-driven analytics such as: Automated insights
Anomaly detection
Ticket classification and trend analysis

Fulltime

Software Engineer / Data Engineer

We are looking for a Software Engineer / Data Engineer to build and enhance inte...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of relevant experience in software engineering, data engineering, or a closely related technical role
Strong backend development expertise in Python, with practical experience building production-grade services and data-driven applications
Hands-on experience with PySpark, Databricks, and AWS for data processing, platform development, and cloud-based deployment
Ability to work across multiple layers of technology, including APIs, databases, application logic, frontend components, and infrastructure
Familiarity with JavaScript or TypeScript and exposure to modern frontend frameworks such as React or Next.js
Experience developing solutions that incorporate large language models
broader machine learning knowledge is an advantage
Proven ability to translate loosely defined business or research needs into well-structured technical solutions

Job Responsibility

Create and support internal applications, including dashboards, research platforms, and workflow solutions that improve day-to-day productivity across the firm
Develop and maintain AI-enabled internal systems such as application services, knowledge retrieval capabilities, agent-based tools, and monitoring frameworks for performance and quality
Collaborate with investment professionals and data science teams to convert research processes into stable, user-focused software products
Define technical direction for new systems, selecting appropriate architecture and establishing engineering standards that can scale with future development
Build backend services and data pipelines using Python, PySpark, and Databricks to support analytics, automation, and application functionality
Contribute to frontend experiences for internal users with modern web technologies such as Next.js, React, and interactive visualization tools
Design solutions that connect APIs, user interfaces, data storage, and cloud infrastructure into cohesive, maintainable platforms

What we offer

medical, vision, dental, and life and disability insurance
company 401(k) plan
free online training

Full-Stack Data Engineer – Data & ML Automation (Databricks)

We are seeking a Fullstack Data Engineer who can operate at the intersection of ...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Experience with CLI tools, scripts, and utilities for automating data platform workflows
Experience with Databricks APIs, Terraform, Databricks SDK
Experience designing integration tests, end-to-end pipeline tests, validation frameworks for Databricks ETL/ELT pipelines and ML inference workflows
Experience building internal applications using React, Streamlit, or similar frameworks
Experience with spec-driven development, coding agents and automation patterns, CI/CD workflows for data/ML systems

Job Responsibility

Develop CLI tools, scripts, and utilities to automate repetitive workflows across the data platform
Automate Databricks workflows, job deployments, environment provisioning, and MLOps operations using Databricks APIs, Terraform, Databricks SDK
Design and implement integration tests, end-to-end pipeline tests, validation frameworks for Databricks ETL/ELT pipelines and ML inference workflows
Improve reliability, observability, and overall engineering productivity across the data & ML team
Build quick internal applications using React, Streamlit, or similar frameworks to visualize data flows, provide model inference demos, enable operational or configuration controls
Develop internal productivity and monitoring dashboards
Apply best practices around spec-driven development, coding agents and automation patterns, CI/CD workflows for data/ML systems

Fulltime

Senior Engineer - Data Engineer

Position - Data Engineer

Location

India , Indore; Ahmedabad

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

Experience: 4 to 8 years in software/data engineering
Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions
Proficiency in Python is a must
Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Knowledge of data governance and security practices
Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes)
Excellent verbal and written communication skills in English
Experience working in Agile development environments
Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications

Job Responsibility

Design and development of real time software and Cloud/Web/mobile based software application
Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement
Perform software testing including unit, functional and system level requirement including manual and automated
Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty
Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle
Develop software solutions from established programming languages or by learning new language required for specific project

Fulltime

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Data Visualization Designer and Engineer

Job Description

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