Skip to content
IroncladIroncladSan Francisco, CA

Senior Analytics Engineer

As a Senior Analytics Engineer, you will develop and optimize dbt infrastructure, implement scalable data models, and ensure consistent business logic. You will partner cross-functionally to design reliable datasets and leverage AI to boost data pipeline efficiency and architect "AI-ready" data assets.

147k – 184k/yr
Hybrid5+ YOEData Engineering

About the role

What You’ll Do

  • Data Transformation: Design and maintain transformations that ensure accurate, scalable, and high-quality datasets as the bedrock of our data warehouse.
  • dbt Architecture: Serve as the Architect for our dbt project, evolving the architecture, design patterns, and best practices to ensure consistent data definitions and streamlined development.
  • Metric Unification: Standardize metrics across our BI tools to drive seamless self-service analytics in Looker and high-accuracy results in AI-powered exploration tools.
  • Team Mentorship: Provide guidance and code reviews to analysts and analytics engineers, fostering a culture of collaboration and excellence in dbt and data modeling.
  • Workflow Modernization: Integrate AI-assisted workflows (e.g., Claude Code) into the development lifecycle to accelerate code generation, documentation, and testing.
  • AI Context Engineering: Architect "AI-ready" data by designing enriched metadata and context guides that enable intuitive, natural-language data exploration for business users.
  • Stack Collaboration: Partner with Data Engineering to design ingestion and transformation pipelines that are scalable, efficient, and aligned with business needs.
  • Data Governance: Champion data privacy and quality by upholding governance processes and compliance measures to maintain the highest standards of integrity.

What We’re Looking For

  • Experience: 5+ years as an analytics engineer, data engineer, or business intelligence engineer, with 2+ years developing in dbt (ideally within B2B SaaS).
  • SQL Mastery: Advanced proficiency in SQL and a strong grasp of data modeling.
  • AI-Assisted Development: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate dbt development, documentation, and the creation of robust data tests.
  • Context Engineering: Experience (or a strong interest) in building "AI-ready" documentation. You understand how to write effective Markdown guides, table descriptions, and metadata that help humans and LLMs navigate our data with high confidence and minimal hallucination.
  • Modern Stack Knowledge: Hands-on experience with our core tools (Fivetran, BigQuery, dbt, Github, Airflow, Looker) or their equivalents and modern exploration platforms like Hex.
  • Critical Thinking: A naturally inquisitive problem-solver who enjoys deconstructing complex business challenges and finds the most pragmatic path to a solution.
  • Ownership & Communication: A demonstrated self-starter with the project management skills to lead initiatives and the communication clarity to bridge the gap between technical teams and business stakeholders.

Base Salary Range:

$147,000 - $184,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.

US Full-Time Employee Benefits at Ironclad:

  • 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available
  • Market-leading leave policies, including gender-neutral parental leave and compassionate leave
  • Family forming support through Maven for you and your partner
  • Paid time off - take the time you need, when you need it
  • Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use
  • Mental health support through Modern Health, including therapy, coaching, and digital tools
  • Pre-tax commuter benefits (US Employees)
  • 401(k) plan with Fidelity with employer match (US Employees)
  • Regular team events to connect, recharge, and have fun
  • And most importantly: the opportunity to help build the company you want to work at

Skills

dbtSQLFivetranBigQueryGitHubAirflowLookerHexClaude Code
SimplePractice

Senior Data Engineer

SimplePracticeUnited States

Senior Data Engineer leads data stack evolution, building scalable pipelines and infrastructure for analytics, reporting, and self-serve tools using Snowflake, dbt, AWS. Requires 7+ years experience, BS/MS, expertise in SQL, Python, orchestration tools.

147k – 179k/yr
Remote7+ YOEData Engineering
Fetch

Senior Data Engineer

FetchUnited States

Senior Data Engineer building scalable batch and real-time data pipelines, feature stores, and low-latency serving systems to power Fetch's recommendation and audience targeting ML models. Requires 6+ years experience with Spark, Kafka, Flink, cloud infrastructure, and close collaboration with ML and backend teams.

150k – 207k/yr
Remote6+ YOEData Engineering
Trexquant

Senior Data Engineer

TrexquantStamford, CT +1

Senior Data Engineer responsible for building scalable ingestion pipelines, normalizing, and maintaining large-scale financial and alternative datasets from global vendors to support quantitative research and alpha generation. Requires 5+ years data engineering experience in finance/quant environments, strong Python/SQL/Linux skills, and deep knowledge of market/tick/reference data across asset classes.

150k – 200k/yr
On-site5+ YOEData Engineering
Jellyfish

Senior Data and AI Platform Engineer

JellyfishUnited States

Senior individual contributor building and leading Jellyfish's Databricks Lakehouse platform to power enterprise analytics, BI, agentic AI workflows, and data science. Requires deep data platform engineering experience, strong Databricks expertise, Python/SQL skills, and ability to deliver governed, production-grade data foundations for AI.

150k – 230k/yr
Remote7+ YOEData Engineering
Luxury Presence

Sr. Data Engineer - US (Remote)

Luxury PresenceUnited States

Senior Data Engineer builds and scales high-throughput streaming pipelines for real estate data using Spark, Kafka, and Airflow on AWS. Requires 6+ years experience, strong Python skills, and daily AI integration in workflows.

150k – 190k/yr
Remote6+ YOEData Engineering