Analytics Engineer

United States Digital Space LLC; Deutschland; Vor Ort; EUR 110.610 - 135.190; Vollzeit

Zusammenfassung

United States Digital Space LLC is looking for an Analytics Engineer to join their Compliance Data team. You will design and maintain production-grade data models and pipelines essential for regulatory obligations.

This position requires a strong background in data engineering and analytics, with responsibilities including data quality checks and supporting regulatory audits. The role is hybrid, encouraging collaboration during in-person sessions.

Qualifikationen

• 2+ years of experience building and maintaining production data pipelines.
• Demonstrated experience with data modeling patterns (star/snowflake schemas).
• Experience supporting high-stakes data needs (regulatory exams, audits).

Aufgaben

• Design and maintain data models and pipelines at the core of the Compliance Data Mart.
• Build data quality checks and validation logic.
• Support live regulatory exams and audits with accurate data.

Kenntnisse

SQL

Python (scripting, automation, OOP)

dbt

Airflow

Modern warehouse architecture (Snowflake or Databricks)

Jobbeschreibung

Ready to do the most impactful work of your career? At the company, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. The company is a remote‑first, but not remote‑only company. Expect to get together quarterly for intense in‑person working sessions called "surges."

Analytics Engineer

The Compliance Data team, part of the company's Platform organization, builds the trusted, certified data foundations that every regulatory obligation at the company depends on. At the center of our work is the Compliance Data Mart (CDM), the company's canonical source of truth for user, transaction, and compliance data. As an Analytics Engineer, you'll design, build, and maintain the production‑grade data models and pipelines that downstream regulatory reporting, analytics, and AI workflows all build on. This is a hybrid role blending data engineering discipline with analytical instincts — you'll build durable foundations while also supporting live regulatory exams, audits, and time‑sensitive data requests when regulators come calling.

What you'll do

• Design, build, and maintain the production‑grade data models and pipelines at the core of the CDM, covering user, transaction, and compliance data across retail and institutional product lines, owning the full lifecycle from architecture through deployment and maintenance.
• Build data quality checks, data contracts, validation logic, and monitoring that protect the integrity of the foundations before issues propagate into regulatory reports or downstream workflows.
• Partner with upstream engineering teams to fix data gaps and absorb product changes at the source, taking accountability for data issues anywhere in the stack rather than passing them downstream.
• Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data, balancing deadline‑driven reactive work with long‑term foundational projects.
• Automate recurring manual workflows into scalable pipelines and self‑serve tooling, building durable infrastructure that enables downstream teams and AI agents to answer their own questions.
• Perform front‑line on‑call duties, triage pipeline incidents, contribute to root cause analysis, and maintain clear technical documentation and runbooks.

Required Skills and Experience

• 2+ years of experience building and maintaining production data pipelines and data models, with daily proficiency in SQL, Python (scripting, automation, OOP), dbt, Airflow, and modern warehouse architecture (Snowflake or Databricks).
• Demonstrated experience with data modeling patterns (star/snowflake schemas, OBTs, SCDs) and building certified or canonical data models that serve multiple downstream consumers.
• Track record implementing data quality frameworks including data contracts, validation logic, reconciliation, and monitoring to catch issues before they reach downstream reports.
• Experience supporting time‑sensitive, high‑stakes data needs (regulatory exams, audits, or financial reporting) while maintaining accuracy standards under pressure.
• Proven ability to work independently, scoping and driving foundational data work end‑to‑end without waiting for direction, and converting tribal knowledge into durable, documented infrastructure.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business‑ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Job #: P76808

Pay Transparency Notice

The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus): €122.900—€122.900 EUR

• Application Limit: Candidates may submit a maximum of 4 applications per 30‑day period.
• Equal Opportunity Employer: The company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights, Know Your Rights, and E‑Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]the company.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
• AI Disclosure: The company is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. The company is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The company will not use AI to make decisions impacting employment.