Staff Data Engineer

We are seeking a Staff Data Engineer to architect and lead our entire data infra...

Location

United States , New York; San Francisco

Salary:

170000.00 - 210000.00 USD / Year

Taskrabbit

Expiration Date

Until further notice

Requirements

7-10 years of experience in Data Engineering
Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran
Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads
Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala)
Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns
Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components
Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent

Job Responsibility

Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases
Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business
Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools
Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth
Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent)
Champion data quality, documentation, and observability to ensure high trust in data across the organization
Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines

What we offer

Employer-paid health insurance
401k match with immediate vesting
Generous and flexible time off with 2 company-wide closure weeks
Taskrabbit product stipends
Wellness + productivity + education stipends
IKEA discounts
Reproductive health support

Fulltime

Staff Data Engineer

As a Staff Data Engineer, you will be responsible for designing, implementing, a...

Location

United States

Salary:

210000.00 - 235000.00 USD / Year

Spectra Infosystems Inc

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
6+ years of experience in data engineering, with a focus on building scalable data solutions
Strong proficiency in Python and SQL
Strong experience with data pipelines, ETL processes, and data warehousing
Strong background in developing end-to-end solutions in a production environment
Demonstrated leadership skills with the ability to guide and mentor team members

Job Responsibility

Technical Leadership: Design and evolve the core components of our data platform
Model-Ready Data Architecture: Architect data structures and pipelines optimized for advanced analytics, machine learning, and generative AI workloads
Cross-Functional Impact: Partner closely with engineering, product, and analytics teams to deliver seamless data integrations
Performance Optimization: Continuously improve data storage, processing, and retrieval
Innovation & Tooling: Stay current with emerging technologies and evaluate new approaches
Data Quality & Governance: Build and maintain robust data quality checks and contribute to strong governance standards
Mentorship & Culture: Coach and uplift other engineers

What we offer

Remote-first flexibility
Comprehensive health benefits for you and your family, including medical, dental, and vision coverage (PPO, HDHP, and HMO options)
Continuous learning support through generous reimbursement for professional development
401(k) and Roth plans with an annual financial adviser check-in
Wellness resources — including a monthly stipend to support physical and mental health
Work-from-home enablement — internet stipend and home office setup allowance
Charitable giving match through our Town Hall awards and community impact initiatives

Fulltime

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

Staff Data Engineer

A VC-backed retail AI scale-up is expanding its engineering team and is looking ...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years in software development and data engineering with ownership of production-grade systems
Proven expertise in Spark (Databricks, EMR, or similar) and scaling it in production
Strong knowledge of distributed computing and modern data modeling approaches
Solid programming skills in Python, with an emphasis on clean, maintainable code
Hands-on experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, Cassandra)
Excellent communicator who can influence and partner across teams

Job Responsibility

Design and evolve distributed, cloud-based data infrastructure that supports both real-time and batch processing at scale
Build high-performance data pipelines that power analytics, AI/ML workloads, and integrations with third-party platforms
Champion data reliability, quality, and observability, introducing automation and monitoring across pipelines
Collaborate closely with engineering, product, and AI teams to deliver data solutions for business-critical initiatives

What we offer

Fully remote
great equity

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

Staff Data Engineer

We are looking for a Staff Data Engineer to take ownership of Blinq’s data engin...

Location

Australia , Sydney; Melbourne

Salary:

Not provided

Blinq Technologies

Expiration Date

Until further notice

Requirements

Extensive experience with SQL, data modeling tools like Dataform, and programming languages such as Python or R and data system architecture designs
Hands-on expertise with a modern event data stack and familiarity with tools such as Segment, Amplitude, BigQuery, Looker Studio, Google Analytics, SSGTM, CDP and AWS/GCP
A strong vision for building a scalable, reliable, and cutting-edge analytics platform, with the ability to develop a roadmap to achieve this
A solid grounding in mathematics, statistics, and data visualisation
Experience in MarTech and working with data systems that support machine learning workflows is desirable
High proficiency in A/B testing and event system design is also highly desirable

Job Responsibility

Building and optimising data pipelines which are scalable to support the collection, transformation, and loading (ETL) of data into databases, warehouses or lakes
Ensuring data quality and accuracy by implementing robust validation and observability processes
Collaborating closely with Product, Marketing, Sales and Engineering teams to align data systems with business goals and measure success effectively
Driving cross-functional efforts to address data integrity, reporting, and insights, while remediating inconsistencies and gaps
Documenting data processes, architecture, and workflows to ensure clarity and continuity across teams

What we offer

Equity & ownership
Competitive salary & growth path
Generous paid time off: At least 20 days fully disconnect each year, with a flexible policy beyond that
Parental leave that grows with you: 12 to 26 weeks full pay, based on tenure
Free food: Enjoy daily breakfast and lunch at some of our offices, plus an always-stocked snack bar

Fulltime

Staff Data Engineer

As a Staff Data Engineer, you will be leading the architecture, design and devel...

Location

United States; Canada , Remote

Salary:

Not provided

1Password

Expiration Date

Until further notice

Requirements

Minimum of 8+ years of professional software engineering experience
Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages
In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies
Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing
Experience with Big Data query engines such as Hive, Presto, Trino, Spark
Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

Job Responsibility

Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience
Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages
Build scalable data pipelines using best-in-class software engineering practices
Develop optimal data models for storage and retrieval, meeting critical product and business requirements
Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security
Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services
Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions
Influence and evangelize high standard of code quality, system reliability, and performance.

What we offer

Maternity and parental leave top-up programs
Generous PTO policy
Four company-wide wellness days
Company equity for all full-time employees
Retirement matching program
Free 1Password account
Paid volunteer days
Employee-led inclusion and belonging programs and ERGs
Peer-to-peer recognition through Bonusly

Fulltime

Software Engineer Staff - Data Scientist

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
Proficiency in Python, R, SQL, or other programming languages for data analysis
Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
Strong analytical and problem-solving skills

Job Responsibility

Collect, clean, and transform data from various sources and formats for model training
Perform exploratory data analysis and visualization to understand patterns and trends
Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Programs for personal and professional development
Inclusive environment that celebrates individual uniqueness

Fulltime

Staff Data Engineer - Analytics Platform

Octopus Energy

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 28, 2025

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