Analytics Engineering

Analytics Engineering Jobs

2 jobs found

Today

Data Engineer

Pika Palo Alto, CA

Palo Alto, CA

Today

Full time Python Analytics Engineering Big Data

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Job Description

Pika is building the data infrastructure that powers its creative AI platform. As a Data Engineer (hybrid in Palo Alto, CA), you will design, build, and scale the pipelines and analytics systems that help keep data accurate, reliable, and easy for teams to use. You will join a collaborative, high-growth culture where contributions directly shape growth and success, along with competitive compensation and substantial equity.

What you’ll work on

Design, develop, and maintain scalable data pipelines and ETL workflows
Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning applications
Maintain data quality, consistency, and security across all data sources and destinations
Partner with engineering, analytics, and product teams to define data requirements and deliver dependable datasets
Implement monitoring and proactively resolve data pipeline issues before they impact downstream work
Optimize storage and data processing performance to support growth and efficiency
Contribute to data modeling and schema design for analytics and product needs
Help establish best practices that support a data-driven culture across the organization

What you bring

4+ years of experience as a data engineer or in a similar role focused on data infrastructure
Strong software engineering foundation with proficiency in Python, SQL, and/or similar languages
Hands-on experience with pipeline orchestration tools such as Airflow, Prefect, or Dagster
Experience with cloud data platforms including AWS/GCP and systems such as Redshift, BigQuery, or Snowflake
Knowledge of database systems, data modeling, and data warehousing best practices
Familiarity with monitoring, logging, and data quality practices for data workflows
Excellent analytical and problem-solving skills with strong attention to detail
Great communication skills and ability to work cross-functionally
Self-motivated, curious, and comfortable in a fast-paced, fast-growth startup environment

Benefits

Competitive salary in the AI industry
Substantial equity in a fast-growing startup defining the future of AI and creativity
Comprehensive health benefits, monthly stipends, and company retreats
Collaborative, high-growth culture where everyone contributes to growth and success

Nice to have

Experience supporting data for machine learning or AI-powered applications
Familiarity with real-time or streaming architectures such as Kafka or Kinesis
Prior work at high-growth startups or experience with rapid scaling
Open source, hackathon, or data engineering community experience

Tech stack

Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP

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1d ago

Data Analytics Engineer

Steel Point Solutions Washington, DC

Washington, DC

1d ago

$120k - $144k/yr Full time Analytics Engineering Data Data Analysis

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Job Description

Steel Point Solutions is hiring for a Data Analytics Engineer role focused on building modern data solutions using Palantir Foundry and related technologies.

Responsibilities

Develop, manage, and optimize data pipelines and data integrations within Palantir Foundry and related environments
Design and implement scalable analytics solutions aligned to operational and business requirements
Integrate data from multiple sources while ensuring data quality, availability, and reliability
Troubleshoot issues across data pipelines, integrations, and analytics workflows to restore functionality and performance
Design and implement data ontologies and business object models in Palantir Foundry
Translate business and operational needs into structured data models and interconnected business objects
Develop operational workflows that leverage ontology-driven data for decision-making and business processes
Collaborate with stakeholders to refine ontology structures and maintain alignment with mission and organizational objectives
Create enterprise data architectures, data models, and technical solution designs leveraging Palantir capabilities
Establish scalable and sustainable approaches for data integration, storage, processing, and analytics
Develop and maintain data architecture documentation, standards, and technical specifications
Ensure solutions align with enterprise architecture, security, governance, and organizational requirements
Support development and implementation of data governance frameworks and standards
Establish practices for data quality, lineage, accessibility, and consistency
Identify opportunities to reduce data silos and improve data management processes
Ensure data solutions adhere to established technical and governance standards
Collaborate with data scientists, analysts, engineers, architects, business stakeholders, and technical leadership
Translate business requirements into technical data solutions and communicate complex concepts to non-technical stakeholders
Participate in requirements gathering, solution design, development, testing, and implementation
Provide technical recommendations and contribute to continuous improvement initiatives
Research and evaluate emerging data technologies, analytics capabilities, and best practices
Identify how to leverage Palantir Foundry capabilities to improve operational efficiency and decision support
Recommend enhancements to data pipelines, architectures, ontologies, and analytics solutions
Support adoption of modern data engineering and architecture practices

Requirements

Experience in data engineering, data architecture, ontology development, or a related data analytics discipline
Experience developing and managing data pipelines, integrations, data models, or analytics solutions
Experience with enterprise data architecture, data governance, or technical solution design
Ability to translate business and operational requirements into scalable technical data solutions
Strong analytical, problem-solving, and communication skills
Ability to work effectively with cross-functional technical and business teams

Technologies

Palantir Foundry
Palantir Ontology

Preferred Experience

Hands-on experience with Palantir Foundry
Experience developing data pipelines and integrations within Palantir Foundry
Experience designing and implementing Palantir Ontology, business object models, and operational workflows
Experience developing enterprise data architectures and technical solution designs leveraging Palantir capabilities
Experience with data governance frameworks, data modeling, and enterprise information management
Experience supporting federal government, Department of Defense, or other mission-focused organizations
Experience working in Agile or other modern software development environments

Data Analytics Resource Categories

Data Engineer: develops and manages data pipelines, integrations, and analytics solutions within Palantir Foundry or related environments
Ontology Specialist: designs and implements data ontologies, business object models, and operational workflows
Data Architect: develops enterprise data architectures, data models, governance frameworks, and technical solution designs leveraging Palantir capabilities

Location: Washington, DC (onsite)

Salary: USD 120,000 - 144,000 per yearly

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