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Airbyte Engineer Jobs

3 jobs found

1mo ago

Founding Data Analytics Engineer

Broccoli AI San Francisco, CA

San Francisco, CA

1mo ago Closed

Full time Airbyte Bigquery Clickhouse

This position is no longer accepting applications (closed Sep 18, 2026).

Job Description

Broccoli AI is building a unified analytics foundation for trustworthy reporting and customer-facing insights. As the founding Data Analytics Engineer, you will own the data architecture, make key tooling choices, and ensure that every dashboard and analytic response is based on reliable, well-modeled data.

This role is focused on building an end-to-end data layer, from ingestion into the warehouse through modeling, documentation, and quality safeguards. You will also support ad-hoc deep dives when the team needs answers, partnering closely with engineering to keep data usable and stable.

What you will do

Build and run ingestion pipelines: Set up reliable ingestion from all sources into ClickHouse, selecting the tooling and owning the end-to-end flow.
Model clean, documented data: Transform raw feeds into curated tables, including entity resolution so the same customer is consistently represented across billing, support, and call-related data.
Create the source-of-truth layer: Define canonical views and metric definitions that every dashboard and analysis uses.
Make data human and AI-ready: Structure models, definitions, and documentation so both people and AI agents can query them accurately, and build internal tooling that helps others ask data questions with confidence.
Maintain trust with quality controls: Implement freshness checks, quality tests, and alerts so pipeline issues are detected before customers notice.
Run deep dives as needed: Support ad-hoc analysis, segment investigations, and partner questions.
Work closely with engineering: Understand how systems store and produce data, including schemas, events, and architecture, and provide early input to ensure warehouse data is stable and easy to model.

What you bring

4–8+ years in data or analytics engineering, with experience building and operating production pipelines end to end, including being accountable when pipelines break.
Strong SQL and solid Python, plus hands-on ETL tooling and orchestration (examples include Airbyte, Fivetran, Dagster, dbt or hand-rolled approaches).
Experience with a columnar/OLAP warehouse; ClickHouse is preferred, with transferable experience from BigQuery, Snowflake, or Redshift.
Data modeling depth: You have designed tables others query and care about what the numbers mean, not only that pipelines run.

Technologies

ClickHouse, BigQuery, Snowflake, Redshift
SQL, Python
Airbyte, Fivetran, Dagster, dbt

Nice to have

Self-directed experience, including being the first or only data person or building a data platform from scratch.
ClickHouse-specific exposure, such as materialized views and performance tuning on event-scale data.
Multi-source identity / entity resolution experience.
Customer-facing or multi-tenant analytics exposure, including strict customer-level data isolation.
B2B SaaS operational data experience (calls, bookings, jobs, billing) or CRM/field-service data such as ServiceTitan.

Location: San Francisco, CA (onsite)
Experience: 4 years minimum

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1mo ago

Data Analytics Engineer

Broccoli AI San Francisco, CA

San Francisco, CA

1mo ago Closed

Full time Airbyte Analytics Bigquery

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

This onsite role in San Francisco, CA, places you as the first dedicated data hire at Broccoli AI. You will own the unified data layer, transform raw feeds into clean tables, and establish the canonical source of truth that powers customer dashboards and product analytics.

Responsibilities

Design and operate end-to end data pipelines to reliably ingest data from all sources into ClickHouse, selecting the right tooling and owning the data flow.
Model the data by converting raw feeds into well documented, clean tables, including entity resolution so that a customer is consistently identified across billing, support, and call data.
Develop the source of truth library with canonical views and metric definitions that underpin all dashboards and analyses.
Prepare data for both human analysts and AI systems by structuring models, definitions, and documentation so queries return accurate results; build internal tools for trusted data questioning.
Maintain trust in the data with freshness checks, quality tests, and alerting to catch pipeline issues before customers are impacted.
Perform ad hoc analyses and deep dives when the team requires segment investigations or responses to partner questions.
Collaborate closely with engineering to understand data storage, schemas, events, and architectural decisions, and provide early input to ensure data that lands in the warehouse is usable and stable.

Requirements

4 to 8 plus years in data or analytics engineering, with hands-on experience building and operating production pipelines end to end and handling incidents when they occur.
Strong SQL and Python skills, with practical experience using ETL tooling (Airbyte, Fivetran, Dagster, dbt, or custom solutions) and orchestration.
Working with a columnar OLAP data warehouse is essential; experience with ClickHouse is preferred, with transfer experience in BigQuery, Snowflake, or Redshift acceptable.
Data modeling as a craft: you have designed tables that others rely on and you care about the meaning of the numbers, not only the data flows.

Technologies

SQL
Python
Airbyte
Fivetran
Dagster
dbt
ClickHouse
BigQuery
Snowflake
Redshift

About Broccoli

Hundreds of contractors rely on Broccoli to run their front office operations.
The company has grown from zero to millions in ARR in under a year.
Broccoli serves both single-location operators and the largest PE-backed roll-ups.
Funding includes more than $25 million raised from Khosla Ventures and Y Combinator.

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3mo ago

Senior Data Analytics Engineer

Riot Platforms Austin, TX

Austin, TX

3mo ago Closed

Full time Senior Airbyte Analytics

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

A Senior Data Analytics Engineer at Riot Platforms in Austin, TX, on-site, will build and scale the data foundation that informs decision-making, owning end-to-end data models across ERP, project management, and operational platforms, and delivering reliable reporting through the BI stack for Data Center, Bitcoin Mining, and Manufacturing operations.

Responsibilities

Design and sustain scalable fact and dimension data models in the cloud data warehouse to enable enterprise reporting and analytics.
Develop a trusted reporting layer by integrating and modeling data from ERP, financial, project management, and operational systems (NetSuite, Procore, Epicor, Snowflake, Timestream) to ensure a single source of truth.
Identify gaps where key financial or operational details are lost during data handoffs and design structures that preserve analytic fidelity.
Define scalable modeling standards and analytics best practices, including naming conventions, metric logic, testing, and maintainability across the analytics stack.
Create and maintain dashboards and semantic models in BI tooling to provide visibility into financial performance, project execution, and operational KPIs.
Collaborate with stakeholders to translate ambiguous business questions such as cost overruns, efficiency gaps, and project performance into defined datasets, metrics, and reporting solutions.
Support and enhance planning and forecasting environments to align planning, forecasting, and actual performance.
Define, document, and govern standardized KPIs across Finance, IT, Continuous Improvement, Operations, and other functions.

Requirements

Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field; equivalent experience considered.
Minimum 5 years of experience in analytics engineering, data engineering, BI, or a related data role.
Advanced SQL proficiency, including complex joins, window functions, CTEs, set-based logic, and query optimization across large datasets; able to read, refactor, and optimize SQL written by others.
Hands-on experience with at least one modern cloud data warehouse (Snowflake, BigQuery, Databricks, Redshift, or similar); Snowflake experience preferred.
Deep understanding of dimensional modeling, including star and snowflake schemas, slowly changing dimensions, and scalable analytics structures.
Hands-on experience with BI and semantic-layer tools such as Power BI, Tableau, Looker, Sigma, Grafana, or equivalents; strong DAX or similar semantic-layer skills preferred.
Experience integrating data from ERP, financial, project management, or other operational systems (NetSuite, Epicor, Procore, SAP, Oracle, Workday, or similar).
Strong analytical problem-solving abilities and the capacity to tackle loosely defined business questions while managing multiple priorities.
Excellent communication skills to effectively engage both technical and non-technical stakeholders.
Cross-functional comfort thriving in an environment where priorities span finance, operations, and analytics.

Technologies

Snowflake
BigQuery
Databricks
Redshift
NetSuite
Procore
Epicor
Timestream
SAP
Oracle
Workday
Power BI
Tableau
Looker
Sigma
Grafana
DAX
SQL
Python
dbt
Fivetran
Airbyte
Airflow
Dagster
Azure Data Factory (ADF)

Benefits

Base salary range commensurate with experience, plus bonus and sign-on equity grant.
Long-term growth through Riot equity incentive programs and opportunity to share in the company’s success.
401(k) retirement plan with a generous company match.
Comprehensive health coverage with multiple medical plan options, including 100% company-paid plans.
Wellness and lifestyle perks, including free gym memberships, pet insurance, childcare discounts, and more.

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