Staff Analytics Engineer

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 - Analytics Platform

We’re starting up a brand-new Analytics Platform team to drive the data strategy...

Location

United Kingdom , London

Salary:

Not provided

Octopus Energy

Expiration Date

Until further notice

Requirements

Deep expertise with dbt Core
Advanced SQL, Jinja and Git
Data Modelling Techniques e.g. Kimball, OBT
Experience with a cloud warehouse provider e.g. Databricks, Snowflake, BigQuery
A record of working with multiple stakeholders across domains

Job Responsibility

Build, document and consult on: Analytics for business domains using dbt & modern BI tools such as Lightdash
Strategies to model & govern a Data Mesh – improving discoverability, consistency, performance, and performance
Comprehensive testing frameworks to ensure data quality, using tools like dbt_expectations and Elementary
Robust CI/CD pipelines for testing and deployment of AE and BI models
Monitoring and alerting tools for insights on AE performance
Work hands-on with ~20 teams, guiding them to adopt tools & data modelling approaches at scale (1000s of models!)

Fulltime

Staff Software Engineer, Data Infrastructure

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

195400.00 - 275550.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with 3+ years focused on data engineering and analytics systems
Expert-level experience with Snowflake including advanced SQL, performance optimization, and cost management
Deep proficiency in DBT for data modeling, transformation, and testing with experience in large-scale implementations
Strong expertise with Apache Airflow for complex workflow orchestration and pipeline management
Hands-on experience with Sigma or similar modern BI platforms for self-service analytics
Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) and infrastructure management
Proficiency in Python, SQL, and other programming languages commonly used in data engineering
Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Proven track record designing and implementing large-scale distributed data systems

Job Responsibility

Define and drive the technical strategy for Docker's data platform architecture, establishing long-term vision for scalable data systems
Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma
Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem
Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices
Establish technical standards for data quality, testing, monitoring, and operational excellence
Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions
Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases
Develop and maintain sophisticated data orchestration workflows using Apache Airflow
Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability
Build data APIs and services that enable self-service analytics and integration with downstream systems

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Staff AI Data Engineer

We are looking for a Senior Data Engineer AI to join the AI team at Doctolib. As...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

At least 7 years+ of experience as an Analytics Engineer, Data Engineer, or a similar role
Proficient in Python, SQL, and DBT for building data pipelines
Hands-on experience building data pipelines for AI/ML systems in production
Good understanding of ML model lifecycle (training, evaluation, deployment, monitoring)
First experience with Google Cloud Platform (GCP) stack
Strong collaboration skills and can work effectively with data science and engineering teams

Job Responsibility

Design and implement data capture and ingestion systems ensuring data quality, privacy compliance (anonymization, consent, retention), and GDPR adherence
Build, optimize and maintain end to end data pipelines using Python, Dagster, BigQuery, SQL/Jinja, DBT
Enable AI model development by providing datasets for training, evaluation, and annotation workflows
Develop custom monitoring solutions including online metrics pipelines and dashboards (Amplitude, Metabase, Tableau) to track AI system performance
Collaborate with the Data Platform teams to optimize infrastructure, ensure scalability, and manage costs effectively

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: additional leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of a sport club membership or a creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

Sequel Med Tech is seeking an experienced Analytics Engineer to spearhead the de...

Location

United States , Manchester; Marlborough

Salary:

175000.00 - 180000.00 USD / Year

Sequel Med Tech

Expiration Date

Until further notice

Requirements

6+ years’ experience in data science or data engineering
Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or related field, or combination of relevant experience and education. Masters preferred
Proficiency with SQL and Python with strong knowledge of data manipulation and analysis libraries
Experience with data transformation tools such as DBT, SQL Mesh, Airflow, etc.
Experience with cloud data platforms such as Snowflake, Databrick, Big Query, Redshift, etc.
Experience with engineering best practices including the use of version control
Ability to clearly communicate complex technical concepts to non-technical stakeholders

Job Responsibility

Building data models and data pipelines for Snowflake using DBT and Airbyte
Ensuring the company’s data pipelines are efficient, well-tested, and accurate
Work closely with business leaders, technical teams, customers, and other stakeholders to identify opportunities to solve healthcare problems with data and to translate those opportunities into data science questions and data engineering requirements
Communicate complex data insights to clinical and business leaders to inform decision-making
Build clinical and business dashboards in Lightdash
Partner with technical teams to ensure data-driven functionality is designed, implemented, tested, and released with proper consideration to data quality, integrity, compliance, and use
Ensure quality, inclusion, impartiality, and accessibility in delivered products
Help develop best-in-class data science practices to support a rapidly growing organization

What we offer

401k plan with a 6% company match and 100% immediate vesting
Capped out-of-pocket insulin costs and GLP-1 coverage across all plans
Variety of Meritain health insurance plans
Flexible Spending Accounts (FSAs) or Health Savings Account (HSA)
Vision and dental coverage
Voluntary options such as long-term disability, accident, critical illness, hospital indemnity, and pet care discounts
Employer-paid short-term disability and life insurance
Flexible PTO
Generous paid holidays
Flex Time options

Fulltime

Staff Data Engineer

The GoFundMe team is searching for our next Staff Data Engineer to join our Anal...

Location

Argentina , Buenos Aires

Salary:

Not provided

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years as a data engineer crafting, developing and maintaining business data warehouse alternatives consisting of structured and unstructured data
Proficiency with building and orchestrating data pipelines using ETL/data preparation tools
Strong SQL and python skills
Experience with data observability, automated testing, and monitoring frameworks
Comfortable with Snowflake performance tuning and managing large datasets
Collaborative and proactive — you like helping teams move faster and more reliably
Fluent in English (written and spoken)
Familiarity with BI tools (Looker, Hex, Mode, Tableau) and semantic layers
DBT experience

Job Responsibility

Own and improve our normalized data layer, ensuring consistency, scalability, and high performance
Build automated tests and monitoring to catch issues before they reach production
Work closely with Analytics Engineers and Data Engineers to ensure data pipelines and models produce accurate, consistent, and well-structured data, coordinating on model design, testing, and quality checks to support reliable reporting and analytics
Contribute to Snowflake performance and cost optimization, helping ensure queries are fast and efficient
Explore ways to use AI to help the team design models, generate code suggestions, review changes, and detect anomalies
Maintain clear documentation and standards so everyone on the team can move fast with confidence

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Manager, Analytics Engineering

As the Manager, Analytics Engineering you will serve as the primary architect fo...

Location

United States , Philadelphia, PA or Rockville, MD

Salary:

90000.00 - 110000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Expert SQL: Mastery of SQL with the ability to write, debug, and optimize complex queries for global data sets
Data Modeling: Proven experience architecting semantic layers and scalable data systems
dbt Knowledge: Experience with dbt or similar data transformation tools is strongly preferred
Modern Data Warehouses: Hands-on experience with cloud data warehouse platforms such as Snowflake, Databricks, BigQuery, Redshift, or equivalent enterprise platforms
Hands-on Leadership: A "player-coach" mentality with a track record of delivering technical solutions in a fast-paced environment

Job Responsibility

Semantic Layer Architecture: Lead the design and implementation of semantic logic and AI pipelines that bridge raw data sources and customer-facing analytics
Code Optimization: Transition legacy logic into clean, optimized SQL structures and dbt-ready environments to ensure a unified "Source of Truth"
Rapid Delivery: Build rapid data prototypes and validated data models to address immediate supply chain challenges
Technical Excellence: Responsible for validating logic functionality and ensuring technical documentation is complete for long-term scalability
Resource Management: Direct the efforts of technical support staff to accelerate engineering delivery

What we offer

medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

Staff Data Engineer

We are seeking a Staff Data Engineer to lead the technical design and implementa...

Location

United Kingdom , Central belt Scotland

Salary:

Not provided

Net Talent

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms
Strong expertise with modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure)
Deep understanding of data modeling, distributed systems, streaming architectures, and ETL/ELT pipelines
Proficiency in SQL and at least one programming language such as Python, Scala, or Java
Demonstrated experience owning and delivering complex systems from architecture through implementation
Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders

Job Responsibility

Design and build scalable, reliable, and high-performance data systems
Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures
Set technical direction and architectural standards across the data platform
Work closely with cross-functional partners to meet evolving business and analytical needs
Own complex technical systems end-to-end, from concept to production
Advocate for engineering excellence and mentor other engineers on the team

Fulltime

Staff Analytics Engineer - dbt

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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