Data Visualization Designer and Engineer Job at Fivetran (Oakland)

Senior Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

146000.00 - 198000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...

Location

Canada , Toronto

Salary:

124000.00 - 145000.00 CAD / Year

Robinhood

Expiration Date

Until further notice

Requirements

3+ years of professional experience building end-to-end data pipelines
Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
Strong SQL (Presto, Spark SQL, etc) skills
Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
Expert collaborator with the ability to democratize data through actionable insights and solutions

Job Responsibility

Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
Partner with upstream engineering teams to enhance data generation patterns
Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
Ideate and contribute to shared data engineering tooling and standards
Define and promote data engineering best practices across the company

What we offer

bonus opportunities
equity
benefits

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Design Manager - Data Experiences

The Data Experiences team is looking for an experienced and passionate Design Ma...

Location

Salary:

157500.00 - 246750.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Demonstrable understanding of, and designing for, highly complex platforms - and preferably for data experiences specifically - at an enterprise level
Demonstrable expertise as a designer and design leader, with a strong portfolio of presentable case studies showcasing how you’ve lead teams towards high craft experiences from inception through launch
6-8+ years of experience in Product Design
Minimum of 3+ years experience of directly managing Product Designers
Outstanding portfolio, with presentable case studies showcasing how you’ve lead teams towards high craft experiences from inception through launch
Expertise and a background in design leadership roles for organizations that have shipped software to users, partnering closely with Product and Engineering
Experience leading product direction, strategic thinking, developing goals, identify opportunities, and make decisions based on impact to the customer and the company
Experience in people development and up-leveling design craft
Experience leading a diverse team in a rapid growth environment
Demonstrable experience working with data and research, conducting and measuring product design experiments, and a passion for setting and achieving OKRs and metrics that materially impact the business

Job Responsibility

Own and drive near term execution and the evolution of how we visualize the data behind our experiences, and express value back to our customers through engaging, visually compelling insights
Work with cross functional partners, over a broad range of products and surfaces, to find new ways to visually tell our story, and our customer’s stories, through static and animated data visualization
Leading a talented team of designers and hold a high bar for craft to ensure the team is delivering intuitive and delightful experiences
Be a foundational member on the data experiences leadership team, codifying the user-centered vision, strategy, and roadmap for the team, alongside product and engineering leadership
Guide the team to build great products anchored in real user needs
Utilize full range of people management skills, product strategy, product design, interaction design and visual design skills
Define best practices, design for challenges both big and small, and lay the foundations for our product for years to come
With Product & Engineering leadership, define and own user-centered strategy and design execution of teams
Proactively identify new problems and opportunities for the team that are rooted in user problems, working intimately with user research and data to propose paths forward
Drive bold, innovative conceptual ideas and turn them into useful and valuable products for our billions of users

What we offer

Health and wellbeing resources
Paid volunteer days
Benefits, bonuses, commissions, and equity

Senior Data Engineer

Figure is an AI Robotics company developing a general-purpose humanoid. Our huma...

Location

United States , San Jose

Salary:

140000.00 - 350000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Data Engineering, or a related field
3+ years of experience in data engineering, preferably with time-series or log data processing
Proficiency in Python with experience in Pandas, Polars, or PySpark for large-scale data processing
Strong understanding of database design, indexing, and query optimization (SQL and NoSQL)
Experience handling complex data formats such as Parquet, MCAP, or protobuf
Experience building custom web based data visualization tools (JavaScript, React…)
Familiarity with data visualization tools like Grafana for real-time analysis and monitoring
Experience with distributed computing frameworks and cloud-based data storage solutions
Strong debugging skills and ability to work with lab teams to interpret robotic system logs

Job Responsibility

Develop and maintain pipelines and tools to transform robot logs to make it easier to access, visualize, and automatically detect events of interest
Optimize data processing to reduce the time needed between data offload and the availability of the data to our engineering teams
Design and optimize data storage solutions for handling complex, high-volume time-series and structured data
Build and maintain database schemas and queries to support analytics and visualization of extracted patterns
Support mechanical, electrical, software, integration and test engineers with their needs to extract and visualize data
Develop dashboards and custom data visualizations tools to enable engineers to quickly extract information from the data and track robot performance
Integrate your solutions with existing data pipelines and our robot testing framework

Fulltime

Sap Btp Data Engineer

At LeverX, we have had the privilege of working on over 950 SAP projects, includ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

2+ years of experience designing and developing SAP data solutions within SAP and non-SAP enterprise landscapes
Strong knowledge of data modeling in Data Warehouses
Strong knowledge of the visualization patterns, approaches, and techniques in SAP and non-SAP landscapes
Understanding of Data Engineering solutions within the SAP BDC landscape, such as SAP Databricks
Proven experience in data transformation and integration with SAP ERP, S/4HANA, and equivalent external systems
Good understanding of SAP data integration techniques (SDI, SDA, APIs, ODP) and protocols (OData, REST, JDBC)
Bachelor’s degree in Computer Science, Information Systems, or equivalent
English B2+

Job Responsibility

Design, develop, and deploy enterprise data solutions on SAP BTP, integrating SAP and non-SAP systems
Analyze and resolve complex data and integration challenges, ensuring reliable and scalable solutions
Collaborate with data architects, functional analysts, and business stakeholders to translate requirements into data models, dashboards, and analytics
Lead small project teams (2–3 members) and contribute to cross-regional collaboration for consistent delivery
Facilitate client enablement through workshops, webinars, and hands-on sessions
Continuously grow expertise by staying current with SAP data and analytics technologies (e.g., SAP Business Data Cloud, AI/ML) and pursuing relevant certifications

What we offer

89% of projects use the newest SAP technologies and frameworks
Expert communities and internal courses
Valuable perks to support your growth and well-being
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years

Staff Data Engineer

We’re looking for a Staff Data Engineer to own the design, scalability, and reli...

Location

United States , San Jose

Salary:

150000.00 - 250000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Experience owning or architecting large-scale data platforms — ideally in EV, autonomous driving, or robotics fleet environments, where telemetry, sensor data, and system metrics are core to product decisions
Deep expertise in data engineering and architecture (data modeling, ETL orchestration, schema design, transformation frameworks)
Strong foundation in Python, SQL, and modern data stacks (dbt, Airflow, Kafka, Spark, BigQuery, ClickHouse, or Snowflake)
Experience building data quality, validation, and observability systems to detect regressions, schema drift, and missing data
Excellent communication skills — able to understand technical needs from domain experts (controls, perception, operations) and translate complex data patterns into clear, actionable insights for engineers and leadership
First-principles understanding of electrical and mechanical systems, including motors, actuators, encoders, and control loops

Job Responsibility

Architect and evolve Figure’s end-to-end platform data pipeline — from robot telemetry ingestion to warehouse transformation and visualization
Improve and maintain existing ETL/ELT pipelines for scalability, reliability, and observability
Detect and mitigate data regressions, schema drift, and missing data via validation and anomaly-detection frameworks
Identify and close gaps in data coverage, ensuring high-fidelity metrics coverage across releases and subsystems
Define the tech stack and architecture for the next generation of our data warehouse, transformation framework, and monitoring layer
Collaborate with robotics domain experts (controls, perception, Guardian, fall-prevention) to turn raw telemetry into structured metrics that drive engineering/business decisions
Partner with fleet management, operators, and leadership to design and communicate fleet-level KPIs, trends, and regressions in clear, actionable ways
Enable self-service access to clean, documented datasets for engineers
Develop tools and interfaces that make fleet data accessible and explorable for engineers without deep data backgrounds

Fulltime

Senior Data Engineer

Location

United States , Flowood

Salary:

Not provided

PhasorSoft Group

Expiration Date

Until further notice

Requirements

Experience with Snowflake or Azure Cloud Data Engineering, including setting up and managing data pipelines
Proficiency in designing and implementing ETL processes for data integration
Knowledge of data warehousing concepts and best practices
Strong SQL skills for querying and manipulating data in Snowflake or Azure databases
Experience with data modeling techniques and tools to design efficient data structures
Understanding of data governance principles and experience implementing them in cloud environments
Proficiency in Tableau or Power BI for creating visualizations and interactive dashboards
Ability to write scripts (e.g., Python, PowerShell) for automation and orchestration of data pipelines
Skills to monitor and optimize data pipelines for performance and cost efficiency
Knowledge of cloud data security practices and tools to ensure data protection

Job Responsibility

Design, implement, and maintain data pipelines and architectures on Snowflake or Azure Cloud platforms
Develop ETL processes to extract, transform, and load data from various sources into data warehouses
Optimize data storage, retrieval, and processing for performance and cost-efficiency in cloud environments
Collaborate with stakeholders to understand data requirements and translate them into technical solutions
Implement data security and governance best practices to ensure data integrity and compliance
Work with reporting tools such as Tableau or Power BI to create interactive dashboards and visualizations
Monitor and troubleshoot data pipelines, ensuring reliability and scalability
Automate data workflows and processes using cloud-native services and scripting languages
Provide technical expertise and support to data analysts, scientists, and business users

Fulltime

Data Visualization Designer and Engineer

Fivetran

Location:
United States , Oakland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 16, 2026

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