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Job Summary

Job Title:
Backend Data Analytics Engineer
Employer:
beehiiv
Location:
Remote Tiger Inc, Ivy Lane, Greenbelt, MD, USA
Country:
Remote Jobs
Contract Type:
Full Time
Job Category:
Data Science & Analytics Jobs Remote
Number of Positions:
1
Deadline:
Saturday, 31 May 2025

Related Jobs

CoinMarketCap

Business Data Analyst job at CoinMarketCap

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Backend Data Analytics Engineer job at beehiiv | Apply Now

Remote Tiger Inc, Ivy Lane, Greenbelt, MD, USA

Full Time

Are you looking for Remote Data Science and Analytics jobs in 2025 today? then you might be interested in Backend Data Analytics Engineer job at beehiiv

Deadline: 

31 May 2025

About the Organisation

beehiiv is a fast-growing startup revolutionizing how creators, publishers, and companies build and monetize their audiences through powerful newsletter platforms. Trusted by tens of thousands of top newsletters globally, beehiiv has scaled rapidly, achieving $7M in ARR by early 2024 with a projection of $40M by the end of 2025. Built by newsletter people for newsletter people, the company is known for its action-driven culture, ownership mentality, and deep commitment to user success.

Job Title

Backend Data Analytics Engineer job at beehiiv

beehiiv

Job Description

As a Backend Data Analytics Engineer at beehiiv, you’ll play a key role in developing and maintaining a robust and scalable data platform. This position is ideal for someone with a strong background in SQL, data modeling, and backend engineering who thrives in a startup environment.

You’ll be responsible for creating and maintaining APIs that expose business-centric metrics, refactoring schemas, building testing frameworks, and supporting real-time analytics services. The role requires close collaboration with application engineers and the broader data team. You’ll also have opportunities to work on segmentation architecture and event-driven systems.

You’ll work in an agile and fast-paced environment where your contributions directly impact product development and user experience. beehiiv values initiative, continuous learning, and collaboration across functions.

Duties, Roles and Responsibilities

  • Maintain and refine data model definitions and APIs for internal and external consumption

  • Translate business metrics into structured SQL queries and data models

  • Build RESTful APIs and services to abstract database complexity

  • Work with OLAP databases to power real-time analytics

  • Contribute to real-time event-based services and segmentation architecture

  • Refactor and consolidate data schema migrations

  • Create unit and integration testing frameworks

  • Collaborate with engineers across product and data teams

  • Enable customizable environments for testing and deployment

  • Assist in performance tuning, debugging, and production issue resolution

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SERVICES

COMMERCIAL

SERVICES

INDUSTRIAL

SERVICES

RESIDENTIAL

Qualifications, Education and Competencies

Required Skills:

  • Advanced SQL knowledge and experience with OLAP databases

  • Experience building and deploying RESTful APIs

  • Proficiency in Python or Ruby (or willingness to learn Ruby)

  • Familiarity with production-grade backend systems and debugging practices

  • Strong problem-solving and communication skills

  • Ability to work independently and in a team within a fast-paced environment


Nice to Have (Preferred):

  • Experience with Clickhouse, Kafka, Kafka Streams, Avro, and schema registries

  • Background in real-time streaming technologies

  • CLI development experience for data retrieval

  • Knowledge of GoLang, Bash scripting

  • CI/CD, Kubernetes, Helm, and AWS (EC2, IAM, ALB, networking)


Soft Skills:

  • Ownership mindset and a proactive attitude

  • Comfort with feedback and collaboration

  • Strong work ethic and alignment with startup culture

  • Passion for innovation and user success

How to Apply

ONLINE APPLICATION ONLY!

Interested candidates are advised that applications for this position must be submitted online. To apply please click the “Apply” button below.

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