Harnham
Senior Sourcing Consultant | Connecting Talent with Opportunity
About the Company:
This team is advancing the future of autonomous driving by developing the metrics, evaluation frameworks, and analytical insights that ensure the safety, performance, and readiness of self‑driving systems. Partnering closely with engineering and autonomy teams, they analyze both real‑world and simulated driving data to enable data‑driven decisions that accelerate commercialization.
About the Role:
We’re seeking a
Data Analytics Engineer
skilled in both
data engineering
and
data analysis . You will transform raw, messy data from multiple sources—vehicle sensors, APIs, internal systems—into clean, reliable datasets. You’ll build data pipelines, dashboards, and analysis tools that support engineering, operations, and leadership decisions.
Role Responsibilities:
Build ETL pipelines to centralize data from multiple sources into a structured data warehouse.
Work with unique datasets including sensor telemetry, logistics data, and internal system test results.
Write complex, efficient SQL queries to prepare data for analysis.
Create and manage dashboards using BI tools to monitor performance and surface insights.
Collaborate with cross‑functional teams to understand data needs and deliver reliable solutions.
Experiment with AI and LLM‑based tools to analyze data and automate insights.
Qualifications:
Strong experience with
Python Connections such as Pandas or Polars أع.
Expert-level
SQLستيرოდი> skills, including joins, window functions, and query optimization.
Experience building and maintaining
ETL pipelines
with modern data tools.
Hands‑on experience with BI tools like
Grafana, Tableau, or Looker .
Familiarity with
workflow orchestrators
(相關) Airflow, Dagster, Prefect, etc.
Understanding of
Large Language Models (LLMs)
Strong sense of ownership and attention to data quality.
Experience with analytical databases such as
ClickHouse, Snowflake, BigQuery, or Redshift .
Prior experience working with vehicle, sensor, or logistics data.
Background in autonomous systems, robotics, or related industries.
On Site in Austin, Texas – 5 days a week
Must have existing authorization to work in the U.S.
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This team is advancing the future of autonomous driving by developing the metrics, evaluation frameworks, and analytical insights that ensure the safety, performance, and readiness of self‑driving systems. Partnering closely with engineering and autonomy teams, they analyze both real‑world and simulated driving data to enable data‑driven decisions that accelerate commercialization.
About the Role:
We’re seeking a
Data Analytics Engineer
skilled in both
data engineering
and
data analysis . You will transform raw, messy data from multiple sources—vehicle sensors, APIs, internal systems—into clean, reliable datasets. You’ll build data pipelines, dashboards, and analysis tools that support engineering, operations, and leadership decisions.
Role Responsibilities:
Build ETL pipelines to centralize data from multiple sources into a structured data warehouse.
Work with unique datasets including sensor telemetry, logistics data, and internal system test results.
Write complex, efficient SQL queries to prepare data for analysis.
Create and manage dashboards using BI tools to monitor performance and surface insights.
Collaborate with cross‑functional teams to understand data needs and deliver reliable solutions.
Experiment with AI and LLM‑based tools to analyze data and automate insights.
Qualifications:
Strong experience with
Python Connections such as Pandas or Polars أع.
Expert-level
SQLستيرოდი> skills, including joins, window functions, and query optimization.
Experience building and maintaining
ETL pipelines
with modern data tools.
Hands‑on experience with BI tools like
Grafana, Tableau, or Looker .
Familiarity with
workflow orchestrators
(相關) Airflow, Dagster, Prefect, etc.
Understanding of
Large Language Models (LLMs)
Strong sense of ownership and attention to data quality.
Experience with analytical databases such as
ClickHouse, Snowflake, BigQuery, or Redshift .
Prior experience working with vehicle, sensor, or logistics data.
Background in autonomous systems, robotics, or related industries.
On Site in Austin, Texas – 5 days a week
Must have existing authorization to work in the U.S.
#J-18808-Ljbffr