Senior Data Engineer

Wealth.com; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Unlimited PTO

Medical and dental benefits

401k with match and vesting on hire

Equity through Carta

Fully remote with periodic in-person</

Paid parental leave

Job summary

Wealth.com is seeking a data engineer to own the data platform end to end, including pipelines, Airflow, dbt and a Redshift warehouse. You will ensure data reliability, diagnose issues, and prevent recurrence while bringing data from diverse sources into a clean, usable warehouse.

You will influence data architecture, collaborate with Platform to align upstream model changes, and help design scalable, cost-effective data solutions in a fintech setting.

Qualifications

• 4+ years in data engineering, analytics engineering, or related role.
• At least 2 years at a company operating at meaningful scale.
• Strong SQL and Python for data processing and pipeline work.
• Hands-on with dbt and orchestrating production pipelines (Airflow or similar).
• Experience moving pipelines onto Airflow.

Responsibilities

• Own the data platform end to end, including pipelines, Airflow, dbt, and Redshift.
• Ensure reliability and trust in the data; identify causes of issues and prevent recurrence.
• Ingest, clean, model, and prepare data for others to use.
• Contribute to data architecture decisions around warehouse design, scalability and cost.

Skills

SQL

Python

Data modeling

Data warehousing

Regulatory compliance

Tools

Airflow

dbt

Redshift

AWS

Job description

• What You’ll Own:
• The data platform end to end. Our pipelines, Airflow environment, dbt, and Redshift warehouse are yours to design, operate, and improve
• Reliability and trust in the data. When a pipeline breaks or a number looks wrong, you’re the person who finds the cause and makes sure it doesn’t happen again
• The path from messy source to clean warehouse. You’ll bring data in from many sources, clean it, model it, and make it easy for others to use
• Our data architecture decisions. You’ll weigh in on warehouse design, scalability, and cost, and write down why we chose what we chose
• The bridge with Platform. You’ll stay ahead of upstream data model changes and make sure data and analytics have a voice in major engineering decisions

Benefits

• Unlimited PTO in an environment where taking time off to relax or recharge is supported and encouraged
• Full medical and dental benefits
• 401k with Match and 100% vesting upon hire
• Company equity managed through Carta
• Fully remote, flexible work environment (we do however meet together in person several times a year)
• Paid parental leave

Working knowledge of AWS and a cloud data warehouse (we use Redshift)Good instincts for warehouse and system design4+ years in data engineering, analytics engineering, or a closely related role, including at least 2 years at a company operating at meaningful scaleStrong SQL and Python, with Python used for data processing and pipeline workThe ability to turn a stakeholder’s requirements into code and systems, and to explain your decisions clearlyHands-on experience with dbt and with orchestrating production pipelines (Airflow or similar)Experience moving pipelines onto Airflow or a similar orchestratorExperience in fintech, wealth management, or other regulated environments (compliance, audit, PII handling)Experience with document processing or AI/ML data pipelines