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3d ago

Senior Analytics Engineer, People Data

Anduril Industries Costa Mesa, CA

Costa Mesa, CA

3d ago

$166k - $220k/yr Full time Senior Analytics Apache Airflow

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Job Description

Senior Analytics Engineer, People Data based in Costa Mesa, CA (onsite) for Anduril Industries, with a salary range of USD 166,000 - 220,000 per year.

Responsibilities

Design, develop, and optimize end-to-end ETL and ELT pipelines to ingest, harmonize, and transform people data from HRIS, ATS, LMS, and other HR systems into the data platform.
Create and govern scalable, secure data models, schemas, and ontologies for people analytics, ensuring data quality and accessible downstream consumption.
Contribute to the strategic evolution of the people data platform and tooling, promoting engineering best practices, automation, and a scalable analytics ecosystem using SQLMesh, Iceberg, and Flyte.
Collaborate with People Analysts, HR Business Partners, and stakeholders to translate analytical needs into robust, well-documented datasets.
Implement and monitor data quality checks, troubleshoot data issues, and maintain data reliability across systems.
Monitor the performance of pipelines and models, identify bottlenecks, and implement improvements to support scalability and efficiency.
Document data pipelines, models, and processes; advocate for data engineering practices such as version control, testing, and CI/CD within the team.
Enforce data security measures and ensure compliance with internal policies and external regulations (GDPR, CCPA) for employee data privacy.
Collaborate with enterprise analytics and data engineering teams to align data architecture standards and integrate people data with other business domains.

Requirements

Minimum of 5 years of experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and infrastructure.
Advanced SQL expertise for complex data manipulation and proficient Python for scripting and automation.
Hands-on experience with cloud-based data warehouses (Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake storage (S3, Azure Data Lake Storage).
Strong background in designing and maintaining analytical data models, including dimensional modeling (Kimball).
Hands-on experience constructing and optimizing ETL/ELT pipelines with dbt, Apache Airflow, Flyte, Dagster, or similar orchestration tools.
Excellent written and verbal communication, with ability to translate technical concepts for non-technical partners and collaborate across teams.
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
S solid foundation in data engineering with SQL, Python, and cloud platform experience (AWS, GCP, Azure).

Technologies

SQL
Python
Snowflake
Google BigQuery
AWS Redshift
Databricks/Delta Lake
AWS S3
Azure Data Lake Storage
dbt
Apache Airflow
Flyte
Dagster
Iceberg
SQLMesh
Palantir Foundry
Terraform
CloudFormation
Docker
Kubernetes
Tableau
Power BI
Looker
Rippling
Workday
Oracle HCM Cloud
Apache Spark
Flink

Benefits

Equity grants included in the majority of full-time offers and are considered part of Anduril's total compensation package.
Comprehensive benefits package for full-time employees, including health and recovery support.

Preferred Qualifications

Experience with big data processing frameworks such as Apache Spark and Flink, and with schema evolution or time travel features like Iceberg or Delta Lake.
Hands-on experience with Palantir Foundry, SQLMesh, Flyte, or similar modern data orchestration platforms.
Cloud provider certifications (for example, AWS Certified Data Analytics - Specialty or Google Cloud Professional Data Engineer).
Experience with infrastructure as code and containerization tools such as Terraform, CloudFormation, Docker, or Kubernetes.
Familiarity with integrating data pipelines with BI tools (Tableau, Power BI, Looker) to optimize dashboards and data accessibility.
Experience working with enterprise HRIS data sources (Rippling, Workday, Oracle HCM Cloud) and understanding their data models and APIs.
Strong understanding of HR data concepts, metrics, and HR systems (HRIS, ATS, LMS) with a focus on People Analytics.

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16d ago

Senior Analytics Engineer

DataTrek Remote 🌍 Remote

Remote

16d ago

$150k - $180k/yr Full time Senior Analytics Big Data

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Job Description

Senior Analytics Engineer at DataTrek focused on data engineering, dashboards, analytical applications, and BI solutions for a government-facing client, enabling informed decisions by senior government leaders.

Responsibilities

Create and sustain interactive dashboards and analytical applications for senior government stakeholders
Interpret high-level directives from government leadership into well-scoped deliverables and shepherd them to completion
Develop data visualizations that reveal insights from complex datasets in an actionable format
Own end-to-end BI product delivery, from requirements gathering and wireframing through development, QA, and handoff
Collaborate with stakeholders to iterate on solutions as requirements evolve, aligning expectations through clear communication
Build and maintain data pipelines in Databricks and Palantir Foundry to support dashboards and analytics
Work with large, complex datasets and transform them into clean, reliable data models for reporting and visualization
Design and implement data integration solutions from multiple source systems to support delivery
Ensure data quality, performance, and reliability across pipelines and downstream analytics outputs
Collaborate with team members using Git for version control and code collaboration
Engage directly with senior government officials to understand strategic goals, even when formal requirements are unclear
Lead working sessions to elicit requirements, validate designs, and gather feedback from non-technical leaders
Document solutions clearly and explain technical concepts and tradeoffs to non-technical audiences at all levels
Serve as a trusted technical advisor, proactively flagging issues, proposing solutions, and communicating status transparently

Requirements

5+ years of experience in data engineering, analytics engineering, or BI development
Proven track record building dashboards and analytical applications on Palantir Foundry, Tableau, or similar platforms
Extensive experience with Databricks and Palantir Foundry
Strong SQL proficiency with hands-on Python and PySpark experience
Experience in cloud environments such as Azure, AWS, or GCP
Proven ability to work directly with senior or executive stakeholders and translate ambiguity into deliverables
Excellent written and verbal communication for presenting technical findings
Self-starter with the ability to take ownership and drive work independently
U.S. citizenship required
Active DoD Secret clearance required

Education Requirement

Bachelor’s Degree in Computer Science, Information Systems, or related field (preferred)

Technologies

Databricks
Palantir Foundry
Git
Tableau
Python
PySpark
SQL
Azure
AWS
GCP

Benefits

Paid time off

Timeframe

12 months Initial (W-2 only)

Work Model

Remote

Salary

USD 150,000 - 180,000 per year

Work Location

Remote

Citizenship & Clearance Requirements

U.S. citizenship required
Active DoD Secret clearance required

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