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Principal Data Engineer

Work from home

Remote role where the employee must remain based in a particular country.

United States only

From the listing details: Residency required in United States

Employer listed it 4 weeks ago · Added 5 weeks ago

Been open since 5 weeks ago, still being checked, but it has been live a while.

Salary

$175,000 to $245,000

Location

United States only

Timezone

Not stated

Contract

Full-time

Experience

Lead

Category

Data

Stated by the employer in the job description

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Location eligibility not confirmed
Contract
Not mentioned in the advert
Experience asked for
8+ years of experience in data engineering or backend development, with a focus on scalable data solutions.
Pay
At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote - US, New York"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Octus

Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: https://octus.com/

Working at Octus

Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, and much more. Role

Octus is seeking a Principal Data Engineer to design, develop, and lead scalable data ingestion and transformation pipelines. This is a hands-on Individual Contributor (IC) role that encompasses some management duties, including mentoring, architecture guidance, and providing technical leadership. You’ll play a key role in designing and maintaining robust data infrastructure that powers data platforms, products and automation initiatives across the firm. The ideal candidate is an expert Python and SQL developer with deep experience building modern data workflows using AWS services and infrastructure-as-code.

Responsibilities

Lead the overarching technical strategy for the data platform, ensuring alignment between data infrastructure and long-term business goals.

Lead the design and development of data ingestion and transformation pipelines , ensuring scalability, efficiency, and reliability across diverse data sources (APIs, web data, internal feeds, etc.).

Serve as a foundational technical leader and mentor for senior engineers within the data platform team, guiding architecture, design, and implementation decisions.

Architect and manage data pipelines and orchestration workflows using AWS services such as MWAA (Airflow) , Lambda , ECS , and SQS .

Implement and maintain infrastructure as code (IaC) using Terraform , ensuring reproducibility and compliance with cloud standards.

Partner with data analysts, scientists, and backend engineers to ensure data consistency, discoverability, and reliability.

Apply best practices in data modeling, schema design, and ETL/ELT processes for high-volume structured and semi-structured data.

Ensure data quality and lineage through automated testing, monitoring, and alerting.

Promote continuous improvement through code reviews, observability practices, and team-wide knowledge sharing.

Collaborate closely with technology leadership to align data platform development with business strategy and product goals.

Stay up to date with industry trends in data engineering, cloud architecture, AI/ML integration, and automation .

Requirements

Strong foundation in software engineering principles , including SOLID design, modularity, and scalability.

Expert proficiency in Python for data pipeline and automation development.

Advanced SQL skills and experience optimizing complex queries and data models.

Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).

Experience with data warehousing or lakehouse technologies (Redshift, Snowflake, Databricks, etc.).

Experience implementing and managing Terraform or similar IaC frameworks.

Requirements

  • ·Strong foundation in software engineering principles , including SOLID design, modularity, and scalability.
  • ·Expert proficiency in Python for data pipeline and automation development.
  • ·Advanced SQL skills and experience optimizing complex queries and data models.
  • ·Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).
  • ·Experience with data warehousing or lakehouse technologies (Redshift, Snowflake, Databricks, etc.).

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Octus, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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